- Review
- Open access
- Published:
Transcranial alternating current stimulation (tACS) at gamma frequency: an up-and-coming tool to modify the progression of Alzheimer’s Disease
Translational Neurodegeneration volume 13, Article number: 33 (2024)
Abstract
The last decades have witnessed huge efforts devoted to deciphering the pathological mechanisms underlying Alzheimer’s Disease (AD) and to testing new drugs, with the recent FDA approval of two anti-amyloid monoclonal antibodies for AD treatment. Beyond these drug-based experimentations, a number of pre-clinical and clinical trials are exploring the benefits of alternative treatments, such as non-invasive stimulation techniques on AD neuropathology and symptoms. Among the different non-invasive brain stimulation approaches, transcranial alternating current stimulation (tACS) is gaining particular attention due to its ability to externally control gamma oscillations. Here, we outline the current knowledge concerning the clinical efficacy, safety, ease-of-use and cost-effectiveness of tACS on early and advanced AD, applied specifically at 40 Hz frequency, and also summarise pre-clinical results on validated models of AD and ongoing patient-centred trials.
Background
Alzheimer’s Disease (AD) is an irreversible and progressive neurodegenerative disorder, with a devastating impact on the quality of life of patients and their caregivers. The staggering number of people affected with AD is about 50 million, which is expected to triple by 2050, causing a huge burden on healthcare systems [1, 2]. AD is the most common form of dementia and is characterized by a progressive loss of memory, deficits in cognitive functions (e.g., word retrieval, language comprehension, visuospatial orientation, abstract thinking and judgment) and neuropsychiatric symptoms (e.g., mood disorders, apathy, anxiety, irritability, aggression and sleep disturbances), with the latter often appearing years before the cognitive decline [3,4,5,6].
The amyloid cascade has been considered the main explanation for AD pathogenesis for the last 40 years [7,8,9,10], speculating that neuronal loss depends on the toxic nature of amyloid β (Aβ) soluble oligomers, fibrils or plaques. According to this hypothesis, an increased production of the toxic Aβ42 fragment, following the cleavage of amyloid precursor protein (APP) by β- and γ-secretases, leads to enhanced oligomerisation and fibril formation compared to the Aβ40 fragment, and to fast accumulation of these fibrils into plaques, exacerbating the neurotoxicity. Indeed, Aβ oligomerisation, fibrillogenesis, aggregation and deposition into plaques spark a deleterious process that leads to synaptic degradation, neuronal loss, neurodegeneration and neuroinflammation. The discovery of genetic mutations (APP, PSEN1, and PSEN2) and the genetic risk factor (APOE ε4 allele) has corroborated the amyloid cascade hypothesis. Indeed, Aβ pathology still remains the most common target in clinical trials for AD treatment [11] and, throughout the years, many anti-Aβ monoclonal antibodies with specific biochemical targets have been developed to block its cascade at different stages. Despite the failure of many potential candidates [12, 13], this effort resulted in the recent FDA approval of two anti-Aβ antibodies, aducanumab and lecanemab, based on imaging data showing reduction in amyloid burden and clinical results indicating a slowing-down of cognitive decline and improvement in daily living [14,15,16]. Yet, these drugs are also associated with adverse events such as amyloid-related imaging abnormalities (ARIA) and variable changes in brain volume, that, in the case of aducanumab, have raised important issues regarding the risk–benefit profile and have led to the refusal by the European Medicines Agency to authorise the drug [17, 18]. On the other hand, interesting results on safety are to be expected from the ongoing trial on lecanemab in healthy young individuals with intermediate or elevated amyloid levels at risk of developing AD ([19] – AHEAD trial NCT04468659).
A key factor contributing to the failure of many clinical trials can be attributed, in part, to their late administration in the disease course. Indeed, the timing of the therapeutic intervention plays a critical role. As a matter of fact, many years before clinical diagnosis, most disease-related processes are already active in destroying synapses and neuronal connections [20]. These alterations occur even before the mild cognitive impairment (MCI)-due-to-AD phase, the transitional period between normal ageing and the diagnosis of clinically-probable very-early AD [21]. The annual conversion rate from MCI to dementia ranges from approximately 22% (community-based studies) to 39% (memory clinics), with most individuals developing AD [22]. Thus, in the context of AD, the MCI phase represents a unique and crucial time-window for intervention to allow the slowing-down of the disease progression. For this reason, specific and accurate diagnosis of MCI-due-to-AD is essential in order to apply tailored treatments, since the “one-size-fits-all” approach may not be suitable because of the various disease trajectories observed in MCI patients.
Indeed, in the MCI and early-AD stages, patients and AD animal models show neuronal hyperexcitability, spontaneous epileptiform activity and changes in cerebral network oscillations [23,24,25]. In particular, reductions in alpha (7–13 Hz)-, beta (14–30 Hz)-, and/or gamma (25–140 Hz)-frequency bands, and increases in the theta (4–7 Hz) band have been described [26, 27]. A particular interest currently is on gamma oscillations, which act physiologically as a “binding factor” that coordinates the activities of various neurons in brain areas involved in complex cognitive functions. When gamma wave dysregulation occurs, network coordination fails, contributing to the cognitive deficits seen in MCI ([26, 28, 29]; BOX 1).
In this conceptual framework of conceiving AD as a circuit-based disorder, a new therapeutic paradigm is hypothesized: is it possible to slow down or block disease progression by tuning up these precocious neural circuit alterations? Non-invasive brain stimulation (NIBS) techniques represent a promising intervention tool, not only for their tolerability and safety, but also because they can be used to directly target specific neural circuit disturbances (see [30,31,32] for thorough reviews). In fact, the challenges related to current drug treatments (such as the potential ineligibility of patients, the absence of clinically-relevant cognitive improvements after therapy, the high costs or potential side effects) are pushing the scientific community to explore new and alternative non-pharmacological approaches for AD treatment. Among the NIBS techniques, transcranial alternating current stimulation (tACS) is receiving particular interest in the AD field due to its relationship with brain oscillations. In this review, we aim to discuss the current understanding of this promising therapeutic strategy, with a major focus on tACS at 40 Hz gamma frequency, as a potential way to restore the disrupted brain connectivity and potentially mitigate AD symptomatology.
Unravelling the potential of tACS in neurostimulation: mechanisms and insights
Among the different NIBS methods, transcranial electrical stimulation represents a group of techniques based on the delivery of weak electric currents to modulate neural activity in the brain. This versatile method includes several procedures that, depending on the way electric current is delivered, can be classified as continuous (transcranial direct current stimulation, tDCS), random (transcranial random noise stimulation, tRNS) or alternating (tACS), each resulting in distinct neurostimulation effects. Among these methods, tACS stands out as a cutting-edge approach, representing a significant advance in the field of NIBS because it offers a unique and precise protocol to tune up the brain’s intrinsic oscillations, opening up new possibilities for personalized brain stimulation and therapeutic interventions in various neurological and psychiatric conditions, including AD.
Mechanism of action—how tACS works
tACS represents a simple procedure based on the delivery of low-intensity electric current (in humans it typically ranges from 1 to 4 mA) by the application of two or more electrodes connected to a battery-powered current stimulator [32]. The electrodes, strategically placed on the scalp over the targeted brain region, deliver alternating currents which penetrate the skull and, at the selected frequencies and intensities, can modulate the electrical activity of neurons in the underlying brain areas, for a selected treatment duration. More specifically, the current delivered moves from the positive maximum pole to the negative maximum one, providing a single repeating cycle in sinusoidal motion with a specific frequency.
As the current penetrates the skull and reaches the targeted brain region, it induces alterations of the membrane potential towards depolarization or hyperpolarization in an oscillatory fashion both in cell bodies and in dendrites of neurons [33]. This alternating change in the membrane potential is considered sufficient to change the neuronal probability of generating action potentials [34]. However, it does not directly affect the firing rate of action potentials; instead, it governs their timing in a frequency- and location-specific manner [35]. The effectiveness of tACS is influenced not only by the amplitude and frequency of the stimulation but also by the three-dimensional orientation of both neurons and the penetrating current. Its effects stem from the modification of the membrane potential of neurons aligned with the induced electric field [36]. Consequently, when these cells are stimulated by tACS, they exhibit specific frequency resonance, long-lasting after-effects and long-distance oscillatory connectivity with their targets. Moreover, the orientation of the electric stimulation significantly alters the characteristics of the resulting field and, consequently, its impact on neurons [37].
While the precise mechanisms underlying the action of tACS remain not fully understood, electrophysiological approaches, primarily electroencephalography (EEG) or magnetoencephalography in humans, as well as intracranial recordings and local field potential recordings in animals have been employed to investigate tACS mechanisms [33, 38,39,40]. Such studies have identified two main categories of effects: online effects, which can help assess phase modulation during stimulation, as well as offline effects, which can help assess the lasting effects of stimulation, after stimulation has ended. It has been suggested that the online effects involve entrainment of brain oscillations to the stimulation frequency and coupling or decoupling of long-range oscillatory connectivity between distant brain regions. Yet, the offline effects more likely involve spike-timing dependent plasticity (STDP) rather than entrainment [40,41,42]. These two mechanisms [43] have been proposed as the main putative mechanisms of action of tACS. Entrainment is a phenomenon based on the synchronization of an oscillating unit to an external driving force. The interaction between the internal oscillator and the external driving force is unidirectional; thus, only the internal oscillations are influenced by the external driving force and not vice versa. Entrainment is thought to be most effective when the stimulating frequency is at or close to the endogenous frequency of the targeted area, and when the endogenous oscillations approximate the external driving force, both rhythms become coupled [44]. In STDP, the stimulation leads to synaptic changes based on the timing of neuronal firing. Synaptic strength increases when pre-synaptic spikes occur prior to the post-synaptic spikes (long-term potentiation, LTP). Conversely, when post-synaptic spikes occur prior to pre-synaptic spikes, synapses weaken (referred to as long-term depression, LTD; [45]). This tool produces periodic changes in the firing frequency of the targeted neuronal networks and consequentially can enhance or reduce the magnitude of continuous physiological oscillatory rhythms [46,47,48]. Despite this knowledge, the extent at which entrainment and plasticity events produced by tACS are interconnected, or whether their effects are independent, remains to be defined.
Another important aspect related to the efficacy of tACS is the intensity-effect relationship. When administered at a relatively low intensity, neuronal entrainment is relevant to only a few cells, but application of higher current intensities, considered safe for humans, results in an increase of the electric fields and in a consequent higher number of neurons entrained by tACS. This suggests the existence of a minimum effective intensity [35, 49, 50]. The direct relationship between entrainment and current intensity provides evidence for the dose-dependent impact of tACS on neuromodulation. Yet, this relationship is not strictly linear as it was shown that weaker stimulation intensities, below the minimum effective one, induces de-entrainment of neurons to the endogenous oscillation instead of the external one [51, 52]. These and other experiments represent an important basis for choosing the most appropriate parameters for translational applications of tACS in humans.
Safety considerations
Working at very low intensities, tACS appears to be a non-invasive, risk-free intervention, with only modest and temporary side effects that are typically well tolerated. These include moderate headache, nausea, fatigue and skin reactions such as itching, tingling and redness under the electrodes used to administer the current [53,54,55]. However, although tACS is generally considered safe when applied within the recommended parameters, it is essential to consider individual differences in brain anatomy and electrical conductivity to avoid adverse effects. Careful electrode placement, choice of stimulation intensity and monitoring are necessary to minimize potential risks.
The paucity of important side effects represents a comparative advantage of tACS over anti-amyloid monoclonal antibody therapies and can be a salient point of consideration within the realm of AD therapeutics. Indeed, the new monoclonal antibody treatments, while promising in their ability to target the underlying amyloid pathology, come with strict eligibility criteria that limit their applicability to only a small percentage of patients in the early stages of AD. This is what emerged from a recent publication that shed light on how the eligibility of early-AD patients for treatment with aducanumab or lecanemab is actually limited due to exclusionary common conditions of the typical older adult population (including cognitive performance and age, body mass index, comorbidities, brain microhaemorrhage suspicious for co-morbid angiopathy [56]). Of the 237 participants with MCI or mild dementia and increased cerebral amyloid load, only 47% met the inclusion criteria for lecanemab’s trial, reducing to 8% after exclusion criteria were added. For aducanumab, only 44% of patients were eligible, falling to 5% after exclusion criteria were applied. Conversely, the non-invasive nature of tACS alleviates concerns pertaining to systemic adverse effects and procedural complications, rendering it potentially suitable across a broader demographic spectrum, which is particularly relevant in the context of AD patients, typically characterised by variable clinical profiles and medical histories. It is also important to note that the individualised dosimetry and customisable nature of tACS parameters allow for tailored interventions, taking into account inter-individual variability in neurophysiological responses and treatment requirements. This approach ensures optimal efficacy while minimising the risk of adverse events, thus enhancing the overall safety profile of tACS and circumventing the risk–benefit dilemmas associated with pharmacological agents in the context of AD treatment.
Additionally, the integrative potential of tACS within the existing treatments for AD also holds significant promise. By virtue of its mechanism of action, tACS may augment the efficacy of the current anti-amyloid therapies, thereby offering a multifaceted approach to disease management. Continued advancements in neuroimaging techniques, coupled with a deeper understanding of the precise neurobiological mechanisms underlying tACS-mediated effects, are poised to further refine treatment strategies and optimize clinical outcomes in AD patients. Thus, the relative absence of side effects for tACS administration in AD patients engenders optimism for its adjunctive or standalone use alongside the approved anti-amyloid therapies. At the same time, as often occurs with other multi-therapeutic approaches, the side effects of the single treatments can compound each other, leading to an increased risk of harm. For example, nausea and headache are two of the common side effects of both lecanemab and aducanumab [14, 16], and they may also be experienced by patients during tACS sessions. Therefore, it should be noted that there is a likelihood of an increase in the risk of both nausea and headache when tACS is administered to individuals undergoing concurrent monoclonal treatment, despite these side effects being considered minor.
In comparison, a more infrequent but more dangerous side effect of monoclonal antibodies is ARIA, that, even if present more often asymptomatically, can lead to permanent invalidity and death [57]. In particular, two major subtypes of this condition have been described: ARIA-oedema/effusion (ARIA-E) and ARIA-haemosiderosis/microhaemorrhages (ARIA-H), both of which appear to depend on a disruption in vascular permeability of the blood–brain barrier, leading to an overflow of fluid in the subpial space (ARIA-E) and in worst cases of erythrocytes (ARIA-H), resulting in an inflammatory reaction and haemoglobin-dependent damage. In this scenario, the simultaneous administration of a monoclonal antibody and of tACS, among whose effects is an increase in vascular permeability [58], might result in a higher risk of developing ARIA, raising the risk of morbidity and mortality. For this reason, it is necessary to further evaluate the potential synergistic effect of both monoclonal therapy and tACS in increasing the risk of side effects. Precise selection of patients who can receive greater benefit from the combination of these two lines of therapy with less risk is also important.
Frequency-specific effects
Recent research has highlighted the importance of frequency-specific effects of tACS. Different brain regions and cognitive processes are associated with distinct frequency bands. These frequencies dominate the EEG recordings when the brain is performing specific functions in the awake or different sleep states. For example, slow-wave sleep or drowsiness generates delta (1–4 Hz) and theta (4–7 Hz) band oscillations, while awake states bring instead alpha (7–13 Hz) and beta waves (14–30 Hz) that support wide-ranging neural processes including voluntary movement [59,60,61].
There are also brain oscillations in the gamma range (∼25–140 Hz) which are related to several cognitive functions, including working memory, learning and attention [62, 63]. It is common to observe an alteration of this oscillatory pattern in disorders affecting memory and cognition, such as AD (BOX 1), and for this reason gamma-frequency tACS caught particular attention as it can influence perceptual and memory processes [61, 62]. tACS can effectively “tune up” the brain’s endogenous neural oscillations and modulate their activity in a targeted manner. Indeed, when the external current frequency matches the endogenous brain oscillatory rhythm, neuronal spiking can be amplified or re-established. Specifically, as mentioned above, the oscillating currents can influence the membrane potential of neurons, increasing the probability that neurons generate synchronized action potentials, crucial for proper information processing [32]. Understanding how the timing and phase of tACS interact with the brain’s intrinsic rhythms is therefore crucial for optimizing stimulation protocols and improving their efficacy.
40 Hz – The neuroenhancement frequency
Gamma waves are reduced in both MCI and AD patients [26, 64,65,66], as well as in various AD mouse models [67,68,69,70]. The etiopathogenesis of gamma wave alterations has not yet been clarified, although the involvement of deficits in parvalbumin-expressing GABAergic interneurons (PV-INs) is certain (BOX 2).
Among the different frequencies of the gamma band (ranging from 25 to 140 Hz), the most used in AD is the gamma stimulation at 40 Hz. The reason of choosing such frequency in AD treatment is based on a pioneer study observing that modulation of gamma activity with optogenetic stimulation at 40 Hz frequency of PV-INs in 5 × FAD mice increases neuroprotective factors, preserves cortical thickness and spine density, slows down neuronal death, decreases amyloid levels, microgliosis and inflammatory gene expression, and improves performance in memory and cognition tests [69]. Subsequent pre-clinical studies showed that non-invasive 40 Hz stimulation with sensory stimuli (named "gamma entrainment using sensory stimuli", or GENUS) led to comparable outcomes by the same and by other research groups, also in other mouse models [71,72,73,74,75,76,77,78,79]. These promising molecular and behavioural improvements in AD mice inspired researchers worldwide to use 40 Hz as a key frequency to restore the gamma oscillopathy typical of AD. In fact, in the last years, several important clinical trials have used 40 Hz gamma modulation to investigate its therapeutic potentialities (for reviews see [80,81,82,83]), with most works focusing on sensory stimulation. Yet, the interest is also increasing for the usage of 40 Hz tACS (Fig. 1).
Of note, although the gamma frequency appears to represent a key frequency range to stimulate memory function, especially for AD patients, gamma tACS can also target neural oscillations occurring in a wider scale of dysfunctional networks, such as the hippocampal-prefrontal circuit. Considering the hippocampus and its role in short- and long-term memory processing, close attention should be paid also to theta waves (4–8 Hz), in parallel to gamma waves, as both are required to encode memory and perform cognitive abilities [84]. Oscillations in gamma and theta bands occur simultaneously, and high-frequency gamma oscillations have been shown to be modulated by the low-frequency theta oscillations. This type of interaction between waves and cross-frequency coupling (also known as phase-amplitude modulation; [61, 85]) reflects integration of neural code across different brain areas or gating information between populations of neurons [86]. Interestingly, it has been highlighted that the study of goal-oriented behavior and cognitive function should not rely on single brain regions but on the analysis of neuronal oscillations in different distributed neural circuits. This serves to extrapolate “fingerprints” of oscillating correlations occurring in cortical networks involved in cognitive processing [87]. The value of this approach is further evidenced by the idea that segmentation of different types of oscillations and rhythmic activity may serve to separate temporal aspects of memory (i.e., ordering of events as they appear in action) and in particular of working memory such as for the phases of encoding, maintenance and retrieval [88].
Here, despite the critical relevance of theta-gamma cross-frequency coupling for short- and long-term memory, we will take into consideration only gamma band stimulation, by particularly highlighting pre-clinical, clinical research and ongoing clinical trials that employed 40 Hz tACS as a potential therapy method for AD (for a summary see also Table 1).
Current knowledge of gamma tACS for the treatment of AD
Pre-clinical studies
A reduction in adult hippocampal neurogenesis is considered a remarkable hallmark of AD [89]. Neurogenesis throughout adulthood occurs only in specific brain regions, primarily in the subventricular zone of the lateral ventricles and the subgranular zone of the hippocampal dentate gyrus, and plays an important role in hippocampus-dependent learning and memory, exploratory behaviour and pattern recognition [90, 91]. The different neurogenesis stages – like proliferation, differentiation, survival and maturation of newborn neurons – are affected to varying degrees in AD and can thus be partially responsible for the cognitive deficits and hippocampal atrophy [89, 92]. Many studies have therefore assessed whether different strategical interventions, including brain stimulation with ultrasound, magnetic waves, as well as deep brain electrical stimulation, can improve cognition in AD via the enhancement of adult neurogenesis [93, 94]. One study, in fact, investigated whether intracranial alternating current stimulation (IACS) at 40 Hz – a modified version of tACS – could stimulate hippocampal neurogenesis in the 5 × FAD mouse model of AD [95]. The authors showed that 40 Hz IACS could increase the number of cells expressing the neurogenesis markers Ki67, Nestin and doublecortin in both hippocampal dentate gyrus and subventricular zone of 5 × FAD mice [95], suggesting the potential of this technique to enhance adult neurogenesis, particularly considering that such markers are linked to the normal migration of neurons into the cerebral cortex.
Whether or not the facilitation of adult neurogenesis in 5 × FAD mice can directly result in functional improvements in memory and learning was not investigated by the same authors, but an independent work confirmed that 40 Hz tACS in 5 × FAD mice could significantly enhance the LTP of synaptic responses in the CA1 region of the hippocampus [96]. LTP is a fundamental synaptic plasticity process associated with the strengthening of neural connections, crucial for memory consolidation and learning, and its potentiation following 40 Hz tACS is a powerful indication that the technique can be promising for functional improvements in the memory defects affecting AD patients. Yet, the mechanisms related to the enhanced LTP following 40 Hz tACS in 5 × FAD mice are not yet understood. For example, the tACS protocol did not change the levels of key neuroplasticity-related proteins such as brain-derived neurotrophic factor (BDNF, an important growth factor that regulates synaptic plasticity, neurogenesis and neuronal survival), cAMP response element-binding (CREB) and its phosphorylated form pCREB (well-known transcription factors that play crucial roles in modulating gene expression associated with synaptic plasticity, learning and memory; [96]). The lack of changes in BDNF, CREB and pCREB levels suggests that the effectiveness of 40 Hz tACS in enhancing LTP might engage alternative neurobiological mechanisms within the brain. It is indeed possible that the effect of tACS is linked to changes in the functioning of pre- or post-synaptic neurons, that could be related to neuronal excitability, glutamate release probability or efficacy of post-synaptic receptors, in relation to the gamma entertainment mediated by the stimulation, which allows the enhancement of communication between excitatory neurons [97]. Otherwise, the enhanced LTP might be the result of enhanced excitability and plasticity of adult-born neurons [95], given the typical high input resistance and high resting potentials of newborn cells [98,99,100]. Although the mechanisms underlying the modulation of synaptic plasticity by 40 Hz tACS remain fairly elusive, different stimulation frequencies applied via tACS have shown similar cognitive-improving and plasticity-enhancing effects. For instance, alpha-tACS stimulation in the visual cortex has demonstrated after-effects, likely attributed to STDP [39, 40, 101, 102] and, similarly, NMDAR-mediated STDP has been proposed as the mechanism of plastic changes upon beta-tACS in the motor cortex [103]. Of note, stimulation at 40 Hz frequency with techniques different from tACS also induces long-term plasticity changes that are phase-sensitive. For example, Wespatat et al. (2004) highlighted the phase-dependency of synaptic modifications, revealing NMDA receptor-dependent LTP during peak-pairing and NMDA receptor-independent LTD during trough-pairing [104]. Additionally, Wang et al. (2023) showed that 40 Hz optogenetics stimulation, but not 10-Hz stimulation, facilitates gamma oscillations and rescues synaptic plasticity deficits induced by stroke, via phase-locking the activity of PV-INs during peak phases, and enhancing the activity of pyramidal neurons during the trough phases of gamma oscillations [105]. This underscores how the phase relationship between pre- and post-synaptic activity critically influences synaptic plasticity, in line with the fundamentals of Hebbian learning theory.
Notably, 40 Hz tACS was also shown to be effective in enhancing the LTP-like plasticity induced by intermittent theta-burst stimulation applied to the primary motor cortex or the dorsolateral prefrontal cortex (DLPFC) [106, 107]. This enhancement of LTP by theta-gamma coupling is linked to an enhancement of the gamma power and to modifications in short-interval intracortical inhibition, which serves as a neurophysiological marker for GABAA receptor activity [106]. These findings imply that gamma tACS may directly influence GABAergic neurotransmission within cortical regions, potentially leading to sustained alterations such as continuous enhancement of gamma band activity. Therefore, while the exact relationship between tACS frequency and its effects on synaptic plasticity remains to be studied, the literature suggests that entraining synchronous oscillations, particularly at the gamma frequency range, can positively modulate synaptic plasticity and facilitate cognitive processes such as attention, memory and learning. Given that dysfunctions of cognitive processes can in part result from altered or disrupted gamma neuronal oscillations, the potential therapeutic applications of tACS become a valuable asset in the context of AD. However, in order to clarify the mechanisms of action of this technique, future pre-clinical studies with 40 Hz tACS should better analyse the electrophysiological effects of the stimulation, focusing on basal synaptic transmission, glutamate release, functions of AMPA and NMDA receptors and excitability of pyramidal and GABAergic neurons.
Another interesting aspect deriving from pre-clinical experiments on animal models of AD is the effect of 40 Hz tACS on pathophysiological markers such as Aβ and neuroinflammation. A recent study, aimed at comparing different tACS protocols to better evaluate the effects of short- and long-term stimulations (7 days versus 21 days) in APP/PS1 mice, revealed that long-term 40 Hz tACS treatment increases spontaneous gamma power, enhances cross-frequency coupling and improves memory performance in the Y-maze compared to sham stimulation, indicating functional enhancements [108]. Importantly, long-term tACS reduced Aβ accumulation and changed microglia morphology in the hippocampus. This is in strict accordance with the fact that gamma entrainment by 40 Hz optogenetics or visual stimulation reduces Aβ via phagocytosis by microglia [69], but additional experiments are necessary to better understand how 40 Hz tACS acts on amyloid turnover, and whether it acts through decreased amyloidogenesis or increased amyloid endocytosis by phagocytic microglia. Indeed, authors only showed a reverse in microglial morphology, with a reduction of the cell body diameter in mice with long-term tACS treatment compared to short-term treatment or sham treatment [108]. For this reason, it would be interesting to accurately demonstrate the specific effects and the underlying biological mechanism of tACS on Aβ clearance.
While the study on long-term tACS demonstrated that the efficacy of gamma tACS is related to the duration of the stimulation session [108], most recent data have also highlighted the need to pay attention to the stimulation intensity of the tACS protocol. In fact, a study applying IACS at 40 Hz [109] confirmed the ability of this technique to reduce the Aβ load, improve memory and influence the morphology and activation state of microglia in the cortex and hippocampus of 5 × FAD mice, but these improvements were more evident when a highest current intensity was applied (200 μA).
Thus, in this pre-clinical frame of exploring gamma tACS in AD treatments, animal studies are still limited, likely due to the technical and methodological challenges related to electrode implantation, duration of the treatment protocol and intensity of the current delivery. Moreover, there are concerns about translational compatibility of tACS results across species and techniques [110]. Indeed, in a translational comparison, the correlation between animal findings and humans should be carefully run [51]. Since most of the in vivo experiments in AD mice were conducted in anesthetized or immobilized animals, it should be considered that these manipulations can change network functions and alter neural dynamics and brain metabolism compared to the awake, freely moving state [111]. In fact, tACS could yield different results on neural activity, even when the same stimulation protocol is used, because the electrophysiological responses also depend on the current state of the brain. In addition, voltage gradients and current intensities described in animal research cannot be directly compared to human investigations. Disparities in brain volume, anatomy and skull thickness can all have a significant impact on the physiological effects of the technique [51]. Moreover, only a few AD mouse models have been used so far, and for this reason a deeper and expanded research is necessary to strengthen the translational relevance and validity of 40 Hz tACS in AD. For example, computational models or in vivo whole-brain imaging could be successful tools for understanding which regions are the most influenced by the different stimulation paradigms, what is the proportion of stimulation diffusion and which regions are unaffected by a particular electrode montage [112, 113]. Fortunately, despite these limitations (e.g., limited behavioural testing, short treatment periods, small sample sizes, potential anaesthesia and stress-induced side effects), the pre-clinical outcomes described above offer a promising scenario for a more detailed evaluation of the therapeutic potential of gamma tACS to block or at least slow down AD cognitive decline (Fig. 2).
Clinical studies exploring 40 Hz tACS
Many clinical studies have evaluated the feasibility and efficacy of 40 Hz tACS in MCI and AD patients, by testing different electrode placements, durations and modalities of treatment and/or stimulation intensities. Some of these studies have also analysed the possibility of exploiting tACS devices at home (home-based 40 Hz tACS studies; HB-tACS). In this section, we will discuss the clinical trials that have been published so far using 40 Hz tACS, including ongoing trials showing either preliminary results or exclusively the study design (see summary in Table 1).
40 Hz tACS over the bilateral temporal lobes
Bilateral temporal stimulation is being applied in ongoing trials ([114] – clinical trials NCT03290326 and NCT03412604). The targeted areas were selected based on the results of amyloid positron emission tomography (PET) imaging showing the maximal tracer uptake in these regions. In particular, the pilot clinical experiment (trial NCT03290326) aims to test the safety, feasibility and effectiveness of 40 Hz tACS in reducing the Aβ load, modulating EEG gamma-band spectral power and improving cognitive abilities. The second interventional trial (trial NCT03412604), in order to produce a longer-lasting effect, has evaluated the tolerability and effectiveness of a stronger stimulation protocol by assessing brain connectivity, cognitive functions and cerebral brain flux (CBF). The authors showed that gamma spectral power changes were correlated with CBF increase, as well as with moderate improvements in cognitive performance related to episodic memory and fluency. As a matter of fact, AD is characterized by reduced brain metabolism [115, 116], and for this reason, an increase of blood flow after treatment constitutes a very promising biomarker of tACS efficacy. Indeed, it has been recently demonstrated that gamma activity can modulate blood vessel diameter in the human brain, although the underlying mechanisms have not been clarified yet [58]. Of note, the improvements in cognitive functions [114] are in line with the crucial role of the bilateral temporal lobes in many cognitive abilities (i.e., facial recognition, communication and processing of emotions; [117]). Moreover, the temporal cortex represents a brain area where gamma band dysfunctions can be detected with whole-head magnetoencephalography in AD patients [118]. Importantly, another study with bilateral temporal lobe gamma tACS [119] not only showed a reduction of the plasma Aβ42/Aβ40 ratio but also an improvement in Mini-Mental State Examination (MMSE) and AD Assessment Scale cognitive subscale (ADAS-Cog) scores immediately after 6 weeks of stimulation. This may be related to the restoration of gamma oscillations in the target area, with a functional enhancement of the connected circuits. However, the effects were not seen in the 12-week follow-up, probably because the benefits have a limited duration, as the exogenous electrical stimulation can transiently entrain the endogenous gamma waves but is not long enough to induce permanent changes. In line with this hypothesis, in another study the 40 Hz tACS protocol was delivered on temporal regions only for 4 weeks, a sufficient period to see a decrease of p-tau burden and microglial activation using PET imaging with selective tracers ([11C]-PiB, [18F]-FTP and [11C]-PBR28, respectively), but without any changes in Aβ levels and in overall cognition [120]. This is also in accordance with the first study mentioned above [114] in which a maximum of 4 weeks of gamma tACS did not show significant improvements in global cognition. Overall, these studies suggest that the duration of stimulation protocol has a vital importance in showing long-lasting outcomes.
Finally, an ongoing double-blind, randomised controlled trial on mild-AD patients using 40 Hz tACS aims at targeting indirectly the temporal lobes by the usage of three electrodes, one placed on the forehead and the other two on each mastoid area, as the current flows through the bilateral frontal and temporal lobes. Their aim is to evaluate neural plasticity using structural and functional MRI (sMRI and fMRI, respectively) in addition to other traditional biomarkers and clinical parameters [121] (clinical trial NCT03920826; see also Table 1).
40 Hz tACS over the parietal lobes
In other studies ([122, 123], clinical trial NCT04783350), researchers stimulated a specific area of the lateral parietal cortex, the left angular gyrus, in which the conscious experience of retrieving vivid, rich and multi-sensory episodic memories resides [124,125,126]. Interestingly, both groups used an HB-tACS protocol that was administered by a caregiver previously receiving a lab-based training, while the adherence was remotely supervised in real-time by physicians. The authors found an improvement in the Memory Index Score (MIS), a measure of delayed recall memory. In both studies, the stimulation determined gamma power increase analysed by high-density electroencephalography (HD-EEG). Although Bréchet et al. (2021) only enrolled two patients and thus the results should be considered extremely preliminary, this study represents an important and emblematic pilot assessment of the feasibility of HB-tACS. In Cappon’s group instead, despite the memory improvement in MIS, the participants only showed modest benefit in the Montreal Cognitive Assessment (MoCA) test. According to the authors, this result is likely due to the fact that the MIS evaluates both the free recall and the cued recall condition, while the MoCA only measures the delayed free recall condition and thus a larger effect can be reached by using MIS [123]. Despite the limited number of patients involved, these studies suggest that the left angular gyrus may be a suitable target area for specific spatial modulation of brain gamma oscillations to induce memory enhancement. In addition, both works demonstrate the high adherence, feasibility and safety of remotely monitored, caregiver-administered HB-tACS to improve memory in the elderly people. Indeed, home participation can overcome accessibility problems and increase recruitment, allowing for the implementation of larger and longer clinical trials while preserving clinical standards and high-quality research.
Other groups are testing HB-tACS protocols [127, 128] (clinical trials PNRR-POC-2022–12376021 and NCT05643326, respectively), to also evaluate plasma levels of neurofilament light chains (NfL), astrocyte markers (GFAP) and Aβ42/Aβ40 ratio. From a functional point of view, they evaluated a battery of neuropsychological tests, the short-latency afferent inhibition (SAI), an intracortical excitability transcranial magnetic stimulation (TMS) parameter referring to the cholinergic neurotransmission, and the resting-state functional magnetic resonance imaging (rs-fMRI) connectivity. The targeted area in this study is the precuneus, a medial portion of the parietal lobe playing a pivotal role in different brain networks including the default mode network, a “brain network node” frequently damaged in AD [129]. The precuneus is involved in different cognitive abilities such as visuo-spatial imagery, episodic memory retrieval, self-processing and consciousness [130].
Although the aforementioned trials are still ongoing and there are no published results yet, Benussi and colleagues [131] (clinical trial NCT04515433) targeted the precuneus in MCI-due-to-AD patients, showing that gamma tACS is able to restore SAI via a mechanism that is, however, still unclear. Furthermore, the preliminary results of this trial [131] showed that patients had improved performance in the Rey Auditory Verbal Learning test (in both immediate and delayed recall) and in the face-name associations task, related to associative and episodic memory retrieval [132, 133]. Since alterations in the default mode network are already detectable in MCI and are crucial for the disease development [134, 135], the precuneus could represent a suitable and accessible target that can be precociously stimulated to slow down the network degeneration. A subsequent study by the same authors extended the previous results in a larger number of AD patients, indicating a possible positive effect of precuneus-tACS on memory, confirming that these improvements are related to gamma entrainment, as demonstrated by EEG recordings [136] (clinical trial NCT04842955).
Another ongoing study focuses on amnestic MCI patients using tACS combined with mnemonic tasks to engage episodic memory [137] (clinical trial NCT04646499). It also evaluates plasma AD biomarkers and neuroplastic changes through rs-fMRI connectivity and neuronal excitation/inhibition (E/I) balance. The latter can be analysed by non-invasive proton magnetic resonance spectroscopy (MRS) to determine the concentrations of brain metabolites such as GABA and glutamate/glutamine ratio, which are used as a measure of neuronal E/I ratio. In fact, previous studies support a relationship between functional connectivity and regional excitability [138, 139], and hyperexcitability is already diagnosed since the MCI phase [27,28,29]. Indeed, MCI and AD patients exhibit deficits in these neurotransmitters [140, 141]. In this context, tACS could represent a valid tool to restore E/I alterations and brain hyperexcitability. In conclusion, these preliminary results arising from parietal lobe stimulation are promising in restoring some of the cognitive functions usually impaired in AD, and future data may corroborate the current state of art.
40 Hz tACS over the DLPFC
Another major hotspot of the default mode network is the DLPFC, frequently targeted in clinical trials as it is highly affected by Aβ deposition and constantly impaired in AD patients [142, 143]. Some studies have focused on comparing tDCS with 40 Hz tACS ([144, 145]– clinical trial NCT05544201). Other studies have evaluated the effects of acoustic co-stimulation ([146] – clinical trial NCT05251649; [147] – clinical trial NCT05251649) or coupled tACS with cognitive exercises ([148,149,150] – clinical trial NCT05203523).
The first study listed above [144] showed differences between 40 Hz tACS and tDCS in MCI patients. Gamma tACS significantly improved performance in higher-level cognitive functions, in contrast to tDCS, although both induced changes in different brain waves. For example, gamma tACS increased beta-frequency activity, but surprisingly, had no effect on gamma activity, suggesting that 40 Hz tACS did not appear to entrain endogenous gamma oscillations in the mentioned study. Nonetheless, the stimulation protocol could induce plastic changes within the stimulated area or network, allowing cognitive restructuring and neuroplasticity since the MCI stages. Indeed, the MCI brain compared to the AD brain is still more plastic and shows more capacity for improvements, confirming the importance of a precocious treatment. In an ongoing trial, another research group is evaluating the effectiveness of 40 Hz high-definition tACS (HD-tACS) compared to HD-tDCS delivered on the same area [145] (clinical trial NCT05544201). Since tDCS shows positive effects on post-sleep declarative memory in AD patients [151,152,153], they are also examining the potential effect of tACS treatment in improving sleep-related brain activity and quality [145]. They expect to find better outcomes using HD-tACS as it is more effective in triggering the endogenous slow gamma oscillations and enhancing brain functions in healthy individuals as well as in patients with different brain disorders [154].
Interesting data also originate from studies combining 40 Hz tACS with 40 Hz sensory stimulation, driven by the initial results on pre-clinical AD [69]. In a case study, the acoustic stimulation at 40 Hz in combination with 40 Hz tACS had a long-lasting effect on cognition, visual perception and attention in a 74-year-old AD patient [146]. To validate the outcomes, the same authors designed a specific protocol on patients with mild and moderate AD comparing the same paired stimulation pattern (acoustic and electrical) with tACS or sound stimulation alone [147]. As in the case report, participants are expected to show improvements not only immediately after the stimulation but also after a 4-month follow-up. This can be presumably explained by the fact that tACS has timely effects in improving cognition, and the combination of tACS and sensory stimulation could have “offline effects” on neuroplastic processes that could occur both during the treatment and after the end of the stimulation. In the first pilot study [146], the authors revealed an increase in MMSE and MoCA scores of the patient after a 4-month follow-up and a reduction in ADAS-Cog. This is an intriguing aspect as it would be interesting to evaluate with cyclic and scheduled follow-ups the maximum temporal limit in which the effects are still detectable. In another study, the potential longer-lasting effect of 40 Hz tACS on the left DLPFC, coupled with cognitive exercises delivered through a tablet app, was explored [148]. The researchers aimed at strengthening cognitive functions by emphasizing on the spatial orientation, associative memory, word-image association, visual memory and categorization [148]. The cognitive status of all participants improved, yet only the group that received both exercises and the 40 Hz tACS continued to improve at the 1-month follow-up, indicating that tACS might potentially induce sustained enhancements when coupled with cognitive training. Later, the same group confirmed the previous results, with patients choosing whether to combine the cognitive exercises with repeated 40 Hz tACS or performing the exercises alone. They proved that tACS coupled with brain exercises is more beneficial and effective for performance in cognitive and spatial tests [149]. However, since in this study the placebo effect was not examined, researchers are complementing their work through a specialized, crossover, double-blind, placebo-controlled trial [150].
40 Hz tACS as a potential screening tool
Finally, it is worth mentioning a pioneer study [155] aimed at focusing on the differences in the tACS effects between MCI and AD patients. tACS was delivered in the full spectrum of gamma bands (i.e., 40 to 120 Hz) to stimulate distinct areas of the left hemisphere. The authors found that tACS did not have a modulatory effect on AD patients when compared to MCI and age-matched healthy volunteers. Interestingly, some of the MCI patients were responsive to the tACS protocol by showing an increased gamma power and improvements in neuropsychological tests, while others did not; in particular, the unresponsive patients to tACS converted to AD two years later. Thus, the authors suggested that, besides the therapeutic potential, gamma-tACS could be employed as an early screening tool for identifying MCI individuals with high risk of dementia and conversion to AD. This is also in line with the neuroimaging results, which confirm that functional changes precede structural alterations. During the MCI period, in fact, brain anatomy remains relatively intact, while synaptic dysfunction begins to impact dynamic connectivity. At this stage, activation of the residual neural reserve networks plays a crucial role in preserving normal brain functions. Consequently, neurophysiological methods might be well-suited to detect early alterations, especially in the MCI brain [156]. Because of this, the 40 Hz tACS – which was first developed as an effective tool to treat MCI/AD – might conceal an unexplored potential also for screening the risk of conversion from MCI to AD. Thereby, this technique may emerge as a promising “theranostic” approach, having both diagnostic and therapeutic potential. In fact, tACS may not only be an innovative treatment for AD prevention in people with MCI, but may also be a good tool for identifying MCI patients at high risk of developing AD. Indeed, Naro et al., 2016 (see also [156]) suggested that such patients are unresponsive to tACS treatment [155]. In this context, it would be informative to couple tACS with EEG recordings following stimulation, as the confirmation of persistent after-effects following tACS may provide indications for the effectiveness of the treatment.
Non-40 Hz frequency performance
It is evident that the predominant focus of investigations in the realm of tACS for MCI or AD has been on the specific frequency of 40 Hz. Notably, none of these studies have explored alternative frequencies to establish a control condition. Instead, they have uniformly opted for 40 Hz stimulation, with the exception of Naro et al. (2016), who employed continuous and random stimulation spanning from 40 to 120 Hz, thus encompassing the entire gamma frequency range [155]. However, this study did not include non-40 Hz gamma frequencies as control conditions but instead utilized sham stimulation, consistent with other clinical studies cited in the current review.
As previously argued, it is worth noting that the specific choice of 40 Hz was initially influenced by the study of Iaccarino et al. (2016), who demonstrated that flicker stimulation at 40 Hz reduced Aβ levels in a mouse model of AD, with no effects observed when mice were exposed to other stimulation parameters or frequencies (e.g., constant light-on or darkness, flicker at 20 Hz or 80 Hz and random flicker), suggesting a frequency-dependent neuromodulatory effect of the stimulation [69]. Similarly, optogenetic stimulation of PV-INs at other frequencies (e.g., 8 Hz or random noise) had no effect on the induction of gamma oscillations [157, 158], or on the levels of Aβ [69] in AD mice, in line also with the notion that entrainment is effective when the stimulating frequency resembles the endogenous frequency of the targeted cells.
40 Hz GENUS has exhibited promising outcomes even in cognitively healthy adults. Notably, PET scans have revealed a distinctive pattern of regional CBF enhancement during binaural auditory stimulation set at 40 Hz, with this frequency proving to be the most effective among the 12 stimulation frequencies tested. This increase in EEG activity amplitude at the 40 Hz steady state has been correlated with heightened cortical activity [159], emphasizing a specific response to gamma sensory stimulation. Additionally, Santarnecchi et al. (2013) investigated various frequencies (40 Hz, 5 Hz, non-periodic high-frequency tRNS and no stimulation) of prefrontal tACS in healthy individuals, demonstrating that tACS at the specific frequency of 40 Hz led to a notable decrease in the time needed to solve complex logic problems [160]. In a subsequent study however, the authors found that the efficacy of prefrontal 40 Hz stimulation varied based on individual capabilities, with those displaying slower baseline performance benefiting more [161]. The authors cautioned against directly linking cognitive performance and stimulation efficacy, as the study participants were relatively homogeneous in terms of baseline performance and age. Thus, generalizing these results to diverse populations, such as those with varying ages or initial cognitive deficits, would be premature. Nevertheless, the study suggested that individual differences in frequency responsiveness, such as reduced endogenous prefrontal gamma activity in slower responders, may influence tACS effects. Therefore, since reduced gamma activity is a common feature in AD, it is plausible to assume that individual differences in frequency responsiveness, as observed in the study, may differentiate the effects of 40 Hz tACS in subjects with MCI or AD, depending on the level of impairment of gamma activity.
This does not negate the need for further studies to specifically investigate the efficacy of other tACS frequencies besides 40 Hz in AD. In fact, while the sham-controlled studies have provided valuable insights into the potential benefits of 40 Hz tACS in MCI and AD populations, the lack of alternative frequency stimulations as control conditions limits our understanding of the specificity and efficacy of gamma frequency stimulation. Given the complex nature of neural oscillations and the variability in individual responses to tACS, it is essential to employ a range of control conditions to disentangle the unique effects of 40 Hz stimulation from nonspecific factors. Thus, moving forward, future studies should consider the inclusion of varied control conditions to provide a more comprehensive understanding of the therapeutic potential of tACS and, more generally, NIBS.
Conclusions and future perspectives
tACS is a promising tool to challenge AD, particularly for its ability to selectively modulate brain oscillations with substantial spatial and frequency specificity. This has allowed researchers to target different brain regions using gamma waves that are closely associated with memory and cognitive functions notably affected in AD. Within the broad spectrum of gamma band frequencies, the low gamma at 40 Hz is particularly significant. This growing interest in the usage of 40 Hz tACS is supported by the promising results observed in AD mouse models. Pre-clinical investigations suggest that gamma tACS may exert beneficial effects on neurogenesis, synaptic plasticity, cognitive performances and pathological hallmarks of AD, such as Aβ levels and neuroinflammation. Such findings push researchers and scientists to investigate the potential therapeutic implications also in patients. Available data obtained from clinical trials suggest that gamma tACS can reduce p-tau, Aβ and microglial activation and ameliorate clinical outcomes related to learning and memory processes. In particular, MCI and/or AD patients show improvements in episodic, autobiographical, working, declarative and associative memory, amongst others. Interestingly, gamma tACS is administered in distinct areas (such as the DLPFC, precuneus and left angular gyrus, among others) with positive results, showing the crucial impact of these different brain areas in disease evolvement and highlighting the complexity of the pathology.
40 Hz tACS is employed to target the main pathological hallmarks, but since AD is considered a “disconnection syndrome” [26, 118, 164], tACS is primarily used to address circuit dysfunction, mitigating the potential propagation of these alterations throughout the brain. Although the exact mechanism is not completely known – and hence pre-clinical studies are crucial – it appears that 40 Hz tACS initially influences the stimulated brain region at a local level, modulating and synchronizing its gamma rhythms. With the reset of local gamma waves, it is then possible to restore the coordination and communication of the brain regions that are functionally connected to the targeted area, ultimately leading to a systemic effect, resulting in the amelioration of AD hallmarks and symptomatology.
The implications of using 40 Hz tACS are straightforward. Since neural disconnection is already detectable from the early disease stage, tACS can be precociously used in the MCI phase or even before, when brain damage can still be restored, blocked and/or delayed. Indeed, the disease acts in a subtle way for 10–15 years without symptoms, then it becomes mildly symptomatic and finally it manifests severely. In the latter stage all the “neural reserve” has been completely exhausted and even the most effective treatment (pharmacological or not) is likely to fail. Therefore, intervention during the initial phases of cognitive impairment may offer a paramount advantage, when neural reserve is relatively intact, and the disease is still at the beginning [165]. In this scenario, the application of tACS alone, or in combination with monoclonal antibody treatment such as lecanemab, approved for patients with MCI and early AD [14], can be highly beneficial when the intervention occurs at the earliest appearance of cognitive decline. In the same line of thinking, tACS can be essential when the patient is not eligible for the monoclonal antibody therapy, thus making tACS an attractive, alternative solution (Fig. 3).
Another clear indication deriving from the usage of 40 Hz tACS, and indeed other NIBS techniques offering equally promising results against AD, is the need to focus beyond the amyloid targeting. This is particularly evident from yet another recent failure of a phase-3 trial, in which the anti-Aβ antibody solanezumab, tested in pre-clinical AD patients with high brain amyloid levels, failed to slow clinical decline despite a lower increase in amyloid levels after 240 weeks of treatment [166].
In this context, timely diagnosis has a decisive role and is key to identifying the best window of clinical intervention. Together with fMRI and PET, in recent years, EEG and its derived HD-EEG, have gained increasing importance in early and accurate AD diagnosis. The analysis of EEG brain signals may provide valuable insights into the functional alterations in the brain circuitry, while cognitive impairment progresses. These techniques, complemented by machine-learning algorithms, allow the identification of subtle alterations and pinpoint the exact location of circuitry dysfunction before severe clinical symptoms burst out [165, 167]. In a future perspective, in fact, it would be useful to combine EEG (or HD-EEG) with 40 Hz tACS, to specifically and directly stimulate those areas that have been previously detected as dysfunctional (see for example [168]; Fig. 3). Interestingly, a similar approach has already been developed using TMS, with the research team employing TMS-EEG to determine the precise location of brain oscillation disruptions and assess the immediate effects of stimulation [169]. Unfortunately, an important limit for routinely using tACS-EEG is the presence of recording artifacts. These artifacts not only hinder the adaptation process, especially for the target frequency, but also act as interference in observing the true effects of 40 Hz tACS on the brain’s neural activities. In recent years, several research laboratories have been developing specific methods to remove the artifact from EEG recordings for concurrent EEG signal acquisition during tACS [168, 170,171,172].
Overall, although 40 Hz tACS has shown positive outcomes, sometimes it also yields contradictory results. While some patients have shown substantial and persistent outcomes, others showed poor effects only limited to the stimulation period and some did not show any improvements at all. This marked disparity raises questions regarding the replicability and the longevity of the tACS treatment and justifies the need of additional and more personalised studies. To fully exploit the potential of 40 Hz tACS in the context of AD, a multifaceted approach is therefore needed. First, future research should prioritize pre-clinical experiments aimed at unravelling the effects of 40 Hz stimulation, with an emphasis on electrophysiological, molecular and cellular effects related to the improvements observed in AD models, and on the underlying mechanisms involved. In the clinical setting, instead, researchers should work to define more precise and personalised stimulation protocols. For example, 40 Hz tACS has been shown to improve cognitive symptoms in major depressive disorder patients or to attenuate symptoms in patients with obsessive compulsive behavior [173, 174]. Consequently, since AD patients are affected by both cognitive and neuropsychiatric symptoms, clinical settings could take advantage of tACS effects to restore these alterations. Thus, identifying and tailoring tACS to the specific symptomatology of the patient is important for the individualization of a personalized therapy. In this regard, given its ease of use, convenience and cost-effectiveness, 40 Hz tACS is also a valuable tool for home-based treatment with very limited side effects, but strict patient adherence protocols should be exercised to guarantee efficacy and reproducibility.
In conclusion, 40 Hz tACS represents an evolving technique in designing multidimensional intervention therapies (both alone and in combination with other types of treatment). Therefore, given its flexibility and effectiveness, the medical community can exploit 40 Hz tACS benefits to revolutionize the AD treatment landscape.
Availability of data and materials
Not applicable.
Abbreviations
- Aβ:
-
Amyloid β
- AD:
-
Alzheimer’s Disease
- ADAS-Cog:
-
Alzheimer's Disease Assessment Scale-Cognitive Subscale
- APP:
-
Amyloid precursor protein
- ARIA:
-
Amyloid-related imaging abnormalities
- BDNF:
-
Brain-derived neurotrophic factor
- CBF:
-
Cerebral brain flux
- CREB:
-
CAMP response element-binding
- DLPFC:
-
Dorsolateral prefrontal cortex
- E/I:
-
Excitatory/inhibitory ratio
- EEG:
-
Electroencephalogram
- fMRI:
-
Functional MRI
- GENUS:
-
Gamma entrainment using sensory stimuli
- HB-tACS:
-
Home-based 40 Hz transcranial alternating current stimulation
- HD-EEG:
-
High-density electroencephalography
- HD-tACS:
-
High-definition transcranial alternating current stimulation
- I-E:
-
Inhibitory-excitatory
- I-I:
-
Inhibitory-inhibitory
- IACS:
-
Intracranial alternating current stimulation
- LTD:
-
Long-term depression
- LTP:
-
Long-term potentiation
- MCI:
-
Mild cognitive impairment
- MIS:
-
Memory Index Score
- MMSE:
-
Mini-Mental State Examination
- MoCA:
-
Montreal Cognitive Assessment
- MRS:
-
Magnetic resonance spectroscopy
- NfL:
-
Neurofilament light chains
- NIBS:
-
Non-invasive brain stimulation
- pCREB:
-
Phosphorylated cAMP response element-binding
- PET:
-
Positron emission tomography
- PNN:
-
Perineuronal net
- PV-INs:
-
Parvalbumin interneurons
- rs-fMRI:
-
Resting-state functional magnetic resonance imaging
- SAI:
-
Short-latency afferent inhibition
- sMRI:
-
Structural MRI
- STDP:
-
Spike-timing dependent plasticity
- tACS:
-
Transcranial alternating current stimulation
- tDCS:
-
Transcranial direct current stimulation
- TMS:
-
Transcranial magnetic stimulation
- tRNS:
-
Transcranial Random Noise Stimulation
References
Scheltens P, Blennow K, Breteler MMB, de Strooper B, Frisoni GB, Salloway S, et al. Alzheimer’s disease. Lancet. 2016;388:505–17.
Gauthier S. World Alzheimer Report 2022 – Life after diagnosis: Navigating treatment, care and support. London: Alzheimer’s Disease International; 2022.
Ballard C, Gauthier S, Corbett A, Brayne C, Aarsland D, Jones E. Alzheimer’s disease. Lancet. 2011;377:1019–31.
Lyketsos CG, Carrillo MC, Ryan JM, Khachaturian AS, Trzepacz P, Amatniek J, et al. Neuropsychiatric symptoms in Alzheimer’s disease. Alzheimers Dement. 2011;7:532–9.
Eikelboom WS, van den Berg E, Singleton EH, Baart SJ, Coesmans M, Leeuwis AE, et al. Neuropsychiatric and Cognitive Symptoms Across the Alzheimer Disease Clinical Spectrum: Cross-sectional and Longitudinal Associations. Neurology. 2021;97:e1276–87.
Krashia P, Spoleti E, D’Amelio M. The VTA dopaminergic system as diagnostic and therapeutical target for Alzheimer’s disease. Front Psychiatry. 2022;13:1039725.
Hardy J, Allsop D. Amyloid deposition as the central event in the aetiology of Alzheimer’s disease. Trends Pharmacol Sci. 1991;12:383–8.
Selkoe DJ. The molecular pathology of Alzheimer’s disease. Neuron. 1991;6:487–98.
Hardy JA, Higgins GA. Alzheimer’s disease: the amyloid cascade hypothesis. Science. 1992;256:184–5.
Hardy J, Selkoe DJ. The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science. 2002;297:353–6.
Cummings JL, Morstorf T, Zhong K. Alzheimer’s disease drug-development pipeline: few candidates, frequent failures. Alzheimers Res Ther. 2014;6:37.
Huang L-K, Chao S-P, Hu C-J. Clinical trials of new drugs for Alzheimer disease. J Biomed Sci. 2020;27:18.
Kim CK, Lee YR, Ong L, Gold M, Kalali A, Sarkar J. Alzheimer’s disease: key insights from two decades of clinical trial failures. J Alzheimers Dis. 2022;87:83–100.
van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, et al. Lecanemab in early Alzheimer’s disease. N Engl J Med. 2023;388:9–21.
Budd Haeberlein S, Aisen PS, Barkhof F, Chalkias S, Chen T, Cohen S, et al. Two randomized phase 3 studies of aducanumab in early Alzheimer’s disease. J Prev Alzheimers Dis. 2022;9:197–210.
Sevigny J, Chiao P, Bussière T, Weinreb PH, Williams L, Maier M, et al. The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease. Nature. 2016;537:50–6.
Salloway S, Chalkias S, Barkhof F, Burkett P, Barakos J, Purcell D, et al. Amyloid-related imaging abnormalities in 2 phase 3 studies evaluating aducanumab in patients with early Alzheimer disease. JAMA Neurol. 2022;79:13–21.
European Medicines Agency (EMA). Refusal of the marketing authorisation for Aduhelm (aducanumab). EMA; 2021. Available from: https://www.ema.europa.eu/en/documents/medicine-qa/questions-and-answers-refusal-marketing-authorisation-aduhelm-aducanumab_en.pdf.
Rafii MS, Sperling RA, Donohue MC, Zhou J, Roberts C, Irizarry MC, et al. The AHEAD 3–45 Study: Design of a prevention trial for Alzheimer’s disease. Alzheimers Dement. 2023;19:1227–33.
Jia J, Ning Y, Chen M, Wang S, Yang H, Li F, et al. Biomarker changes during 20 years preceding Alzheimer’s disease. N Engl J Med. 2024;390:712–22.
Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183–94.
Rosenberg A, Solomon A, Jelic V, Hagman G, Bogdanovic N, Kivipelto M. Progression to dementia in memory clinic patients with mild cognitive impairment and normal β-amyloid. Alzheimers Res Ther. 2019;11:99.
Palop JJ, Chin J, Roberson ED, Wang J, Thwin MT, Bien-Ly N, et al. Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of Alzheimer’s disease. Neuron. 2007;55:697–711.
Busche MA, Eichhoff G, Adelsberger H, Abramowski D, Wiederhold K-H, Haass C, et al. Clusters of hyperactive neurons near amyloid plaques in a mouse model of Alzheimer’s disease. Science. 2008;321:1686–9.
Noebels J. A perfect storm: Converging paths of epilepsy and Alzheimer’s dementia intersect in the hippocampal formation. Epilepsia. 2011;52(Suppl 1):39–46.
Koenig T, Prichep L, Dierks T, Hubl D, Wahlund LO, John ER, et al. Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment. Neurobiol Aging. 2005;26:165–71.
Bhattacharya BS, Coyle D, Maguire LP. Alpha and theta rhythm abnormality in Alzheimer’s Disease: a study using a computational model. Adv Exp Med Biol. 2011;718:57–73.
Missonnier P, Herrmann FR, Michon A, Fazio-Costa L, Gold G, Giannakopoulos P. Early disturbances of gamma band dynamics in mild cognitive impairment. J Neural Transm (Vienna). 2010;117:489–98.
Park JY, Lee KS, An SK, Lee J, Kim J-J, Kim KH, et al. Gamma oscillatory activity in relation to memory ability in older adults. Int J Psychophysiol. 2012;86:58–65.
Antal A, Luber B, Brem A-K, Bikson M, Brunoni AR, Cohen Kadosh R, et al. Non-invasive brain stimulation and neuroenhancement. Clin Neurophysiol Pract. 2022;7:146–65.
Bhattacharya A, Mrudula K, Sreepada SS, Sathyaprabha TN, Pal PK, Chen R, et al. An overview of noninvasive brain stimulation: basic principles and clinical applications. Can J Neurol Sci. 2022;49:479–92.
Wischnewski M, Alekseichuk I, Opitz A. Neurocognitive, physiological, and biophysical effects of transcranial alternating current stimulation. Trends Cogn Sci. 2023;27:189–205.
Vöröslakos M, Takeuchi Y, Brinyiczki K, Zombori T, Oliva A, Fernández-Ruiz A, et al. Direct effects of transcranial electric stimulation on brain circuits in rats and humans. Nat Commun. 2018;9:483.
Antal A, Herrmann CS. Transcranial alternating current and random noise stimulation: possible mechanisms. Neural Plast. 2016;2016:3616807.
Krause MR, Vieira PG, Csorba BA, Pilly PK, Pack CC. Transcranial alternating current stimulation entrains single-neuron activity in the primate brain. Proc Natl Acad Sci U S A. 2019;116:5747–55.
Radman T, Ramos RL, Brumberg JC, Bikson M. Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in vitro. Brain Stimul. 2009;2(215–28):228.e1–3.
Koganemaru S, Mikami Y, Matsuhashi M, Truong DQ, Bikson M, Kansaku K, et al. Cerebellar transcranial alternating current stimulation modulates human gait rhythm. Neurosci Res. 2020;156:265–70.
Helfrich RF, Schneider TR, Rach S, Trautmann-Lengsfeld SA, Engel AK, Herrmann CS. Entrainment of brain oscillations by transcranial alternating current stimulation. Curr Biol. 2014;24:333–9.
Zaehle T, Rach S, Herrmann CS. Transcranial alternating current stimulation enhances individual alpha activity in human EEG. PLoS ONE. 2010;5:e13766.
Vossen A, Gross J, Thut G. Alpha power increase after transcranial alternating current stimulation at alpha frequency (α-tACS) reflects plastic changes rather than entrainment. Brain Stimul. 2015;8:499–508.
Schwab BC, Misselhorn J, Engel AK. Modulation of large-scale cortical coupling by transcranial alternating current stimulation. Brain Stimul. 2019;12:1187–96.
Weinrich CA, Brittain J-S, Nowak M, Salimi-Khorshidi R, Brown P, Stagg CJ. Modulation of long-range connectivity patterns via frequency-specific stimulation of human cortex. Curr Biol. 2017;27:3061-3068.e3.
Vogeti S, Boetzel C, Herrmann CS. Entrainment and spike-timing dependent plasticity - a review of proposed mechanisms of transcranial alternating current stimulation. Front Syst Neurosci. 2022;16:827353.
Lakatos P, Gross J, Thut G. A new unifying account of the roles of neuronal entrainment. Curr Biol. 2019;29:R890–905.
Caporale N, Dan Y. Spike timing-dependent plasticity: a Hebbian learning rule. Annu Rev Neurosci. 2008;31:25–46.
Antal A, Paulus W. Transcranial alternating current stimulation (tACS). Front Hum Neurosci. 2013;7:317.
Battleday RM, Muller T, Clayton MS, Cohen KR. Mapping the mechanisms of transcranial alternating current stimulation: a pathway from network effects to cognition. Front Psychiatry. 2014;5:162.
Vosskuhl J, D S, Cs H. Non-invasive brain stimulation: a paradigm shift in understanding brain oscillations. Front Hum Neurosci. 2018;12:211.
Johnson L, Alekseichuk I, Krieg J, Doyle A, Yu Y, Vitek J, et al. Dose-dependent effects of transcranial alternating current stimulation on spike timing in awake nonhuman primates. Sci Adv. 2020;6:eaaz2747.
Alekseichuk I, Wischnewski M, Opitz A. A minimum effective dose for (transcranial) alternating current stimulation. Brain Stimul. 2022;15:1221–2.
Krause MR, Vieira PG, Thivierge J-P, Pack CC. Brain stimulation competes with ongoing oscillations for control of spike timing in the primate brain. PLoS Biol. 2022;20:e3001650.
Zhao Z, Shirinpour S, Tran H, Wischnewski M, Opitz A. Intensity- and frequency-specific effects of transcranial alternating current stimulation are explained by network dynamics. bioRxiv. 2023;2023.05.19.541493.
Abd Hamid AI, Gall C, Speck O, Antal A, Sabel BA. Effects of alternating current stimulation on the healthy and diseased brain. Front Neurosci. 2015;9:391.
Matsumoto H, Ugawa Y. Adverse events of tDCS and tACS: A review. Clin Neurophysiol Pract. 2017;2:19–25.
Antal A, Alekseichuk I, Bikson M, Brockmöller J, Brunoni AR, Chen R, et al. Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines. Clin Neurophysiol. 2017;128:1774–809.
Pittock RR, Aakre JA, Castillo AM, Ramanan VK, Kremers WK, Jack CR, et al. Eligibility for anti-amyloid treatment in a population-based study of cognitive aging. Neurology. 2023;101(19):e1837–49.
Hampel H, Elhage A, Cho M, Apostolova LG, Nicoll JAR, Atri A. Amyloid-related imaging abnormalities (ARIA): radiological, biological and clinical characteristics. Brain. 2023;146:4414–24.
Mateo C, Knutsen PM, Tsai PS, Shih AY, Kleinfeld D. Entrainment of arteriole vasomotor fluctuations by neural activity is a basis of blood-oxygenation-level-dependent “resting-state” connectivity. Neuron. 2017;96:936–948.e3.
Bland BH. The physiology and pharmacology of hippocampal formation theta rhythms. Prog Neurobiol. 1986;26:1–54.
Klimesch W. EEG-alpha rhythms and memory processes. Int J Psychophysiol. 1997;26:319–40.
Buzsáki G, Draguhn A. Neuronal oscillations in cortical networks. Science. 2004;304:1926–9.
Buzsáki G, Wang X-J. Mechanisms of gamma oscillations. Annu Rev Neurosci. 2012;35:203–25.
Fries P. Rhythms for cognition: communication through coherence. Neuron. 2015;88:220–35.
Ribary U, Ioannides AA, Singh KD, Hasson R, Bolton JP, Lado F, et al. Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans. Proc Natl Acad Sci U S A. 1991;88:11037–41.
Herrmann CS, Demiralp T. Human EEG gamma oscillations in neuropsychiatric disorders. Clin Neurophysiol. 2005;116:2719–33.
Guillon J, Attal Y, Colliot O, La Corte V, Dubois B, Schwartz D, et al. Loss of brain inter-frequency hubs in Alzheimer’s disease. Sci Rep. 2017;7:10879.
Verret L, Mann EO, Hang GB, Barth AMI, Cobos I, Ho K, et al. Inhibitory interneuron deficit links altered network activity and cognitive dysfunction in Alzheimer model. Cell. 2012;149:708–21.
Palop JJ, Mucke L. Network abnormalities and interneuron dysfunction in Alzheimer disease. Nat Rev Neurosci. 2016;17:777–92.
Iaccarino HF, Singer AC, Martorell AJ, Rudenko A, Gao F, Gillingham TZ, et al. Gamma frequency entrainment attenuates amyloid load and modifies microglia. Nature. 2016;540:230–5.
Mably AJ, Gereke BJ, Jones DT, Colgin LL. Impairments in spatial representations and rhythmic coordination of place cells in the 3xTg mouse model of Alzheimer’s disease. Hippocampus. 2017;27:378–92.
Kastanenka KV, Hou SS, Shakerdge N, Logan R, Feng D, Wegmann S, et al. Optogenetic restoration of disrupted slow oscillations halts amyloid deposition and restores calcium homeostasis in an animal model of Alzheimer’s disease. PLoS ONE. 2017;12:e0170275.
Martinez-Losa M, Tracy TE, Ma K, Verret L, Clemente-Perez A, Khan AS, et al. Nav1.1-overexpressing interneuron transplants restore brain rhythms and cognition in a mouse model of Alzheimer’s disease. Neuron. 2018;98:75–89.e5.
Adaikkan C, Middleton SJ, Marco A, Pao P-C, Mathys H, Kim DN-W, et al. Gamma entrainment binds higher-order brain regions and offers neuroprotection. Neuron. 2019;102:929–943.e8.
Martorell AJ, Paulson AL, Suk H-J, Abdurrob F, Drummond GT, Guan W, et al. Multi-sensory gamma stimulation ameliorates Alzheimer’s-associated pathology and improves cognition. Cell. 2019;177:256–271.e22.
Park S-S, Park H-S, Kim C-J, Kang H-S, Kim D-H, Baek S-S, et al. Physical exercise during exposure to 40-Hz light flicker improves cognitive functions in the 3xTg mouse model of Alzheimer’s disease. Alzheimers Res Ther. 2020;12:62.
Tian T, Qin X, Wang Y, Shi Y, Yang X. 40 Hz light flicker promotes learning and memory via long term depression in wild-type mice. J Alzheimers Dis. 2021;84:983–93.
Shen Q, Wu X, Zhang Z, Zhang D, Yang S, Xing D. Gamma frequency light flicker regulates amyloid precursor protein trafficking for reducing β-amyloid load in Alzheimer’s disease model. Aging Cell. 2022;21:e13573.
Park S-S, Park H-S, Kim C-J, Baek S-S, Park S-Y, Anderson C, et al. Combined effects of aerobic exercise and 40-Hz light flicker exposure on early cognitive impairments in Alzheimer’s disease of 3×Tg mice. J Appl Physiol. 1985;2022(132):1054–68.
Murdock MH, Yang C-Y, Sun N, Pao P-C, Blanco-Duque C, Kahn MC, et al. Multisensory gamma stimulation promotes glymphatic clearance of amyloid. Nature. 2024;627:149–56.
Thomson H. How flashing lights and pink noise might banish Alzheimer’s, improve memory and more. Nature. 2018;555:20–2.
McDermott B, Porter E, Hughes D, McGinley B, Lang M, O’Halloran M, et al. Gamma band neural stimulation in humans and the promise of a new modality to prevent and treat Alzheimer’s disease. J Alzheimers Dis. 2018;65:363–92.
Chan D, Suk H-J, Jackson B, Milman NP, Stark D, Beach SD, et al. Induction of specific brain oscillations may restore neural circuits and be used for the treatment of Alzheimer’s disease. J Intern Med. 2021;290:993–1009.
Manippa V, Palmisano A, Filardi M, Vilella D, Nitsche MA, Rivolta D, et al. An update on the use of gamma (multi)sensory stimulation for Alzheimer’s disease treatment. Front Aging Neurosci. 2022;14:1095081.
Lisman JE, Jensen O. The θ-γ neural code. Neuron. 2013;77:1002–16.
Canolty RT, Knight RT. The functional role of cross-frequency coupling. Trends Cogn Sci. 2010;14:506–15.
Lisman J. The theta/gamma discrete phase code occuring during the hippocampal phase precession may be a more general brain coding scheme. Hippocampus. 2005;15:913–22.
Siegel M, Donner TH, Engel AK. Spectral fingerprints of large-scale neuronal interactions. Nat Rev Neurosci. 2012;13:121–34.
Roux F, Uhlhaas PJ. Working memory and neural oscillations: α-γ versus θ-γ codes for distinct WM information? Trends Cogn Sci. 2014;18:16–25.
Liu H, Zhang H, Ma Y. Molecular mechanisms of altered adult hippocampal neurogenesis in Alzheimer’s disease. Mech Ageing Dev. 2021;195:111452.
Deng W, Aimone JB, Gage FH. New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory? Nat Rev Neurosci. 2010;11:339–50.
Sahay A, Scobie KN, Hill AS, O’Carroll CM, Kheirbek MA, Burghardt NS, et al. Increasing adult hippocampal neurogenesis is sufficient to improve pattern separation. Nature. 2011;472:466–70.
Winner B, Winkler J. Adult neurogenesis in neurodegenerative diseases. Cold Spring Harb Perspect Biol. 2015;7:a021287.
Mooney SJ, Shah K, Yeung S, Burgess A, Aubert I, Hynynen K. Focused ultrasound-induced neurogenesis requires an increase in blood-brain barrier permeability. PLoS ONE. 2016;11:e0159892.
Zhen J, Qian Y, Fu J, Su R, An H, Wang W, et al. Deep brain magnetic stimulation promotes neurogenesis and restores cholinergic activity in a transgenic mouse model of Alzheimer’s disease. Front Neural Circuits. 2017;11:48.
Liu Q, Jiao Y, Yang W, Gao B, Hsu DK, Nolta J, et al. Intracranial alternating current stimulation facilitates neurogenesis in a mouse model of Alzheimer’s disease. Alzheimers Res Ther. 2020;12:89.
Jeong W-H, Kim W-I, Lee J-W, Park H-K, Song M-K, Choi I-S, et al. Modulation of long-term potentiation by gamma frequency transcranial alternating current stimulation in transgenic mouse models of Alzheimer’s disease. Brain Sci. 2021;11:1532.
Tiesinga PH, Fellous J-M, Salinas E, José JV, Sejnowski TJ. Inhibitory synchrony as a mechanism for attentional gain modulation. J Physiol Paris. 2004;98:296–314.
Schmidt-Hieber C, Jonas P, Bischofberger J. Enhanced synaptic plasticity in newly generated granule cells of the adult hippocampus. Nature. 2004;429:184–7.
Espósito MS, Piatti VC, Laplagne DA, Morgenstern NA, Ferrari CC, Pitossi FJ, et al. Neuronal differentiation in the adult hippocampus recapitulates embryonic development. J Neurosci. 2005;25:10074–86.
Ge S, Yang C-H, Hsu K-S, Ming G-L, Song H. A critical period for enhanced synaptic plasticity in newly generated neurons of the adult brain. Neuron. 2007;54:559–66.
Veniero D, Vossen A, Gross J, Thut G. Lasting EEG/MEG aftereffects of rhythmic transcranial brain stimulation: level of control over oscillatory network activity. Front Cell Neurosci. 2015;9:477.
Wischnewski M, Schutter DJLG. After-effects of transcranial alternating current stimulation on evoked delta and theta power. Clin Neurophysiol. 2017;128:2227–32.
Wischnewski M, Engelhardt M, Salehinejad MA, Schutter DJLG, Kuo M-F, Nitsche MA. NMDA receptor-mediated motor cortex plasticity after 20 Hz transcranial alternating current stimulation. Cereb Cortex. 2019;29:2924–31.
Wespatat V, Tennigkeit F, Singer W. Phase sensitivity of synaptic modifications in oscillating cells of rat visual cortex. J Neurosci. 2004;24:9067–75.
Wang C, Lin C, Zhao Y, Samantzis M, Sedlak P, Sah P, et al. 40-Hz optogenetic stimulation rescues functional synaptic plasticity after stroke. Cell Rep. 2023;42:113475.
Guerra A, Suppa A, Bologna M, D’Onofrio V, Bianchini E, Brown P, et al. Boosting the LTP-like plasticity effect of intermittent theta-burst stimulation using gamma transcranial alternating current stimulation. Brain Stimul. 2018;11:734–42.
Maiella M, Casula EP, Borghi I, Assogna M, D’Acunto A, Pezzopane V, et al. Simultaneous transcranial electrical and magnetic stimulation boost gamma oscillations in the dorsolateral prefrontal cortex. Sci Rep. 2022;12:19391.
Wu L, Cao T, Li S, Yuan Y, Zhang W, Huang L, et al. Long-term gamma transcranial alternating current stimulation improves the memory function of mice with Alzheimer’s disease. Front Aging Neurosci. 2022;14:980636.
Liu Q, Contreras A, Afaq MS, Yang W, Hsu DK, Russell M, et al. Intensity-dependent gamma electrical stimulation regulates microglial activation, reduces beta-amyloid load, and facilitates memory in a mouse model of Alzheimer’s disease. Cell Biosci. 2023;13:138.
He Y, Liu S, Chen L, Ke Y, Ming D. Neurophysiological mechanisms of transcranial alternating current stimulation. Front Neurosci. 2023;17:1091925.
Paasonen J, Stenroos P, Salo RA, Kiviniemi V, Gröhn O. Functional connectivity under six anesthesia protocols and the awake condition in rat brain. Neuroimage. 2018;172:9–20.
Ruffini G, Fox MD, Ripolles O, Miranda PC, Pascual-Leone A. Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields. Neuroimage. 2014;89:216–25.
Sánchez-León CA, Ammann C, Medina JF, Márquez-Ruiz J. Using animal models to improve the design and application of transcranial electrical stimulation in humans. Curr Behav Neurosci Rep. 2018;5:125–35.
Sprugnoli G, Munsch F, Cappon D, Paciorek R, Macone J, Connor A, et al. Impact of multisession 40Hz tACS on hippocampal perfusion in patients with Alzheimer’s disease. Alzheimers Res Ther. 2021;13:203.
Dai W, Lopez OL, Carmichael OT, Becker JT, Kuller LH, Gach HM. Mild cognitive impairment and alzheimer disease: patterns of altered cerebral blood flow at MR imaging. Radiology. 2009;250:856–66.
Kisler K, Nelson AR, Montagne A, Zlokovic BV. Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease. Nat Rev Neurosci. 2017;18:419–34.
Deen B, Koldewyn K, Kanwisher N, Saxe R. Functional organization of social perception and cognition in the superior temporal sulcus. Cereb Cortex. 2015;25:4596–609.
Stam CJ, van Cappellen van Walsum AM, Pijnenburg YAL, Berendse HW, de Munck JC, Scheltens P, et al. Generalized synchronization of MEG recordings in Alzheimer’s Disease: evidence for involvement of the gamma band. J Clin Neurophysiol. 2002;19:562–74.
Zhou D, Li A, Li X, Zhuang W, Liang Y, Zheng C-Y, et al. Effects of 40 Hz transcranial alternating current stimulation (tACS) on cognitive functions of patients with Alzheimer’s disease: a randomised, double-blind, sham-controlled clinical trial. J Neurol Neurosurg Psychiatry. 2022;93:568–70.
Dhaynaut M, Sprugnoli G, Cappon D, Macone J, Sanchez JS, Normandin MD, et al. Impact of 40 Hz transcranial alternating current stimulation on cerebral tau burden in patients with Alzheimer’s disease: a case series. J Alzheimers Dis. 2022;85:1667–76.
Xing Y, Wei P, Wang C, Shan Y, Yu Y, Qiao Y, et al. TRanscranial AlterNating current Stimulation FOR patients with Mild Alzheimer’s Disease (TRANSFORM-AD study): Protocol for a randomized controlled clinical trial. Alzheimers Dement (N Y). 2020;6:e12005.
Bréchet L, Yu W, Biagi MC, Ruffini G, Gagnon M, Manor B, et al. Patient-tailored, home-based non-invasive brain stimulation for memory deficits in dementia due to Alzheimer’s disease. Front Neurol. 2021;12:598135.
Cappon D, Fox R, den Boer T, Yu W, LaGanke N, Cattaneo G, et al. Tele-supervised home-based transcranial alternating current stimulation (tACS) for Alzheimer’s disease: a pilot study. Front Hum Neurosci. 2023;17:1168673.
Ciaramelli E, Faggi G, Scarpazza C, Mattioli F, Spaniol J, Ghetti S, et al. Subjective recollection independent from multifeatural context retrieval following damage to the posterior parietal cortex. Cortex. 2017;91:114–25.
Thakral PP, Madore KP, Schacter DL. A role for the left angular gyrus in episodic simulation and memory. J Neurosci. 2017;37:8142–9.
Bréchet L, Grivaz P, Gauthier B, Blanke O. Common recruitment of angular gyrus in episodic autobiographical memory and bodily self-consciousness. Front Behav Neurosci. 2018;12:270.
Altomare D, Benussi A, Cantoni V, Premi E, Rivolta J, Cupidi C, et al. Home-based transcranial alternating current stimulation (tACS) in Alzheimer’s disease: rationale and study design. Alzheimers Res Ther. 2023;15:155.
Borroni B. Markers of clinical and biological response to home delivered transcranial alternating current stimulation (tACS) in Patients with Alzheimer’s disease [Internet]. clinicaltrials.gov; 2022 Dec. Report No.: NCT05643326. Available from: https://clinicaltrials.gov/study/NCT05643326.
Collij LE, Heeman F, Salvadó G, Ingala S, Altomare D, de Wilde A, et al. Multitracer model for staging cortical amyloid deposition using PET imaging. Neurology. 2020;95:e1538–53.
Cavanna AE, Trimble MR. The precuneus: a review of its functional anatomy and behavioural correlates. Brain. 2006;129:564–83.
Benussi A, Cantoni V, Cotelli MS, Cotelli M, Brattini C, Datta A, et al. Exposure to gamma tACS in Alzheimer’s disease: A randomized, double-blind, sham-controlled, crossover, pilot study. Brain Stimul. 2021;14:531–40.
Bean J. Rey Auditory Verbal Learning Test, Rey AVLT. In: Kreutzer JS, DeLuca J, Caplan B, editors. Encyclopedia of Clinical Neuropsychology. New York: Springer; 2011. p. 2174–5.
Bjekić J, Vulić K, Živanović M, Vujičić J, Ljubisavljević M, Filipović SR. The immediate and delayed effects of single tDCS session over posterior parietal cortex on face-word associative memory. Behav Brain Res. 2019;366:88–95.
Rombouts SARB, Barkhof F, Goekoop R, Stam CJ, Scheltens P. Altered resting state networks in mild cognitive impairment and mild Alzheimer’s disease: an fMRI study. Hum Brain Mapp. 2005;26:231–9.
Eyler LT, Elman JA, Hatton SN, Gough S, Mischel AK, Hagler DJ, et al. Resting state abnormalities of the default mode network in mild cognitive impairment: a systematic review and meta-analysis. J Alzheimers Dis. 2019;70:107–20.
Benussi A, Cantoni V, Grassi M, Brechet L, Michel CM, Datta A, et al. Increasing brain gamma activity improves episodic memory and restores cholinergic dysfunction in Alzheimer’s disease. Ann Neurol. 2022;92:322–34.
Jones KT, Gallen CL, Ostrand AE, Rojas JC, Wais P, Rini J, et al. Gamma neuromodulation improves episodic memory and its associated network in amnestic mild cognitive impairment: a pilot study. Neurobiol Aging. 2023;129:72–88.
Levar N, Van Doesum TJ, Denys D, Van Wingen GA. Anterior cingulate GABA and glutamate concentrations are associated with resting-state network connectivity. Sci Rep. 2019;9:2116.
Maximo JO, Briend F, Armstrong WP, Kraguljac NV, Lahti AC. Salience network glutamate and brain connectivity in medication-naïve first episode patients - A multimodal magnetic resonance spectroscopy and resting state functional connectivity MRI study. Neuroimage Clin. 2021;32:102845.
Huang D, Liu D, Yin J, Qian T, Shrestha S, Ni H. Glutamate-glutamine and GABA in brain of normal aged and patients with cognitive impairment. Eur Radiol. 2017;27:2698–705.
Oeltzschner G, Saleh MG, Rimbault D, Mikkelsen M, Chan KL, Puts NAJ, et al. Advanced Hadamard-encoded editing of seven low-concentration brain metabolites: Principles of HERCULES. Neuroimage. 2019;185:181–90.
Jones DT, Machulda MM, Vemuri P, McDade EM, Zeng G, Senjem ML, et al. Age-related changes in the default mode network are more advanced in Alzheimer disease. Neurology. 2011;77:1524–31.
Palmqvist S, Schöll M, Strandberg O, Mattsson N, Stomrud E, Zetterberg H, et al. Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity. Nat Commun. 2017;8:1214.
Kim J, Kim H, Jeong H, Roh D, Kim DH. tACS as a promising therapeutic option for improving cognitive function in mild cognitive impairment: a direct comparison between tACS and tDCS. J Psychiatr Res. 2021;141:248–56.
Lu H, Li J, Yang NS, Lam LCW, Ma SL, Wing YK, et al. Using gamma-band transcranial alternating current stimulation (tACS) to improve sleep quality and cognition in patients with mild neurocognitive disorders due to Alzheimer’s disease: a study protocol for a randomized controlled trial. PLoS ONE. 2023;18:e0289591.
Liu Y, Tang C, Wei K, Liu D, Tang K, Chen M, et al. Transcranial alternating current stimulation combined with sound stimulation improves the cognitive function of patients with Alzheimer’s disease: a case report and literature review. Front Neurol. 2022;13:962684.
Liu Y, Liu S, Tang C, Tang K, Liu D, Chen M, et al. Transcranial alternating current stimulation combined with sound stimulation improves cognitive function in patients with Alzheimer’s disease: Study protocol for a randomized controlled trial. Front Aging Neurosci. 2023;14:1068175.
Kehler L, Francisco CO, Uehara MA, Moussavi Z. The effect of transcranial alternating current stimulation (tACS) on cognitive function in older adults with dementia. Annu Int Conf IEEE Eng Med Biol Soc. 2020;2020:3649–53.
Moussavi Z, Kimura K, Kehler L, de Oliveira FC, Lithgow B. A novel program to improve cognitive function in individuals with dementia using transcranial alternating current stimulation (tACS) and tutored cognitive exercises. Front Aging. 2021;2:632545.
Jacobson N, Lithgow B, Jafari Jozani M, Moussavi Z. The effect of transcranial alternating current stimulation with cognitive training on executive brain function in individuals with dementia: protocol for a crossover randomized controlled trial. JMIR Res Protoc. 2022;11:e37282.
Ferrucci R, Mameli F, Guidi I, Mrakic-Sposta S, Vergari M, Marceglia S, et al. Transcranial direct current stimulation improves recognition memory in Alzheimer disease. Neurology. 2008;71:493–8.
Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist. 2011;17:37–53.
Bystad M, Grønli O, Rasmussen ID, Gundersen N, Nordvang L, Wang-Iversen H, et al. Transcranial direct current stimulation as a memory enhancer in patients with Alzheimer’s disease: a randomized, placebo-controlled trial. Alzheimers Res Ther. 2016;8:13.
Grimaldi D, Papalambros NA, Zee PC, Malkani RG. Neurostimulation techniques to enhance sleep and improve cognition in aging. Neurobiol Dis. 2020;141:104865.
Naro A, Corallo F, De Salvo S, Marra A, Di Lorenzo G, Muscarà N, et al. Promising role of neuromodulation in predicting the progression of mild cognitive impairment to dementia. J Alzheimers Dis. 2016;53:1375–88.
Rossini PM, Di Iorio R, Granata G, Miraglia F, Vecchio F. From mild cognitive impairment to Alzheimer’s disease: a new perspective in the “land” of human brain reactivity and connectivity. J Alzheimers Dis. 2016;53:1389–93.
Cardin JA, Carlén M, Meletis K, Knoblich U, Zhang F, Deisseroth K, et al. Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature. 2009;459:663–7.
Sohal VS, Zhang F, Yizhar O, Deisseroth K. Parvalbumin neurons and gamma rhythms enhance cortical circuit performance. Nature. 2009;459:698–702.
Pastor MA, Artieda J, Arbizu J, Marti-Climent JM, Peñuelas I, Masdeu JC. Activation of human cerebral and cerebellar cortex by auditory stimulation at 40 Hz. J Neurosci. 2002;22:10501–6.
Santarnecchi E, Polizzotto NR, Godone M, Giovannelli F, Feurra M, Matzen L, et al. Frequency-dependent enhancement of fluid intelligence induced by transcranial oscillatory potentials. Curr Biol. 2013;23:1449–53.
Santarnecchi E, Muller T, Rossi S, Sarkar A, Polizzotto NR, Rossi A, et al. Individual differences and specificity of prefrontal gamma frequency-tACS on fluid intelligence capabilities. Cortex. 2016;75:33–43.
Wais PE, Arioli M, Anguera-Singla R, Gazzaley A. Virtual reality video game improves high-fidelity memory in older adults. Sci Rep. 2021;11:2552.
Santarnecchi E. Gamma Induction for Amyloid Clearance in Alzheimer’s Disease [Internet]. clinicaltrials.gov; 2023 Dec. Report No.: NCT03880240. Available from: https://clinicaltrials.gov/study/NCT03880240.
Delbeuck X, Van der Linden M, Collette F. Alzheimer’s disease as a disconnection syndrome? Neuropsychol Rev. 2003;13:79–92.
Rossini PM, Miraglia F, Vecchio F. Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis. Alzheimers Dement. 2022;18:2699–706.
Sperling RA, Donohue MC, Raman R, Rafii MS, Johnson K, Masters CL, et al. Trial of solanezumab in preclinical Alzheimer’s disease. N Engl J Med. 2023;389:1096–107.
Gaubert S, Raimondo F, Houot M, Corsi M-C, Naccache L, Diego Sitt J, et al. EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease. Brain. 2019;142:2096–112.
Fehér KD, Morishima Y. Concurrent electroencephalography recording during transcranial alternating current stimulation (tACS). J Vis Exp. 2016;e53527.
Koch G, Casula EP, Bonnì S, Borghi I, Assogna M, Minei M, et al. Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial. Brain. 2022;145:3776–86.
Kohli S, Casson AJ. Removal of gross artifacts of transcranial alternating current stimulation in simultaneous EEG monitoring. Sensors (Basel). 2019;19:190.
Haslacher D, Nasr K, Robinson SE, Braun C, Soekadar SR. Stimulation artifact source separation (SASS) for assessing electric brain oscillations during transcranial alternating current stimulation (tACS). Neuroimage. 2021;228:117571.
Yan X, Boudrias M-H, Mitsis GD. Removal of transcranial alternating current stimulation EEG artifacts using blind source separation and wavelets. IEEE Trans Biomed Eng. 2022;69:3183–92.
Klimke A, Nitsche MA, Maurer K, Voss U. Case report: successful treatment of therapy-resistant OCD with application of transcranial alternating current stimulation (tACS). Brain Stimul. 2016;9:463–5.
Haller N, Senner F, Brunoni AR, Padberg F, Palm U. Gamma transcranial alternating current stimulation improves mood and cognition in patients with major depression. J Psychiatr Res. 2020;130:31–4.
Minkeviciene R, Rheims S, Dobszay MB, Zilberter M, Hartikainen J, Fülöp L, et al. Amyloid beta-induced neuronal hyperexcitability triggers progressive epilepsy. J Neurosci. 2009;29:3453–62.
Keskin AD, Kekuš M, Adelsberger H, Neumann U, Shimshek DR, Song B, et al. BACE inhibition-dependent repair of Alzheimer’s pathophysiology. Proc Natl Acad Sci U S A. 2017;114:8631–6.
Garcia-Marin V, Blazquez-Llorca L, Rodriguez J-R, Boluda S, Muntane G, Ferrer I, et al. Diminished perisomatic GABAergic terminals on cortical neurons adjacent to amyloid plaques. Front Neuroanat. 2009;3:28.
Limon A, Reyes-Ruiz JM, Miledi R. Loss of functional GABA(A) receptors in the Alzheimer diseased brain. Proc Natl Acad Sci U S A. 2012;109:10071–6.
Andrews-Zwilling Y, Bien-Ly N, Xu Q, Li G, Bernardo A, Yoon SY, et al. Apolipoprotein E4 causes age- and Tau-dependent impairment of GABAergic interneurons, leading to learning and memory deficits in mice. J Neurosci. 2010;30:13707–17.
Spoleti E, La Barbera L, Cauzzi E, De Paolis ML, Saba L, Marino R, et al. Dopamine neuron degeneration in the Ventral Tegmental Area causes hippocampal hyperexcitability in experimental Alzheimer’s Disease. Mol Psychiatry. 2024;1–16.
Huh S, Baek S-J, Lee K-H, Whitcomb DJ, Jo J, Choi S-M, et al. The reemergence of long-term potentiation in aged Alzheimer’s disease mouse model. Sci Rep. 2016;6:29152.
Cattaud V, Bezzina C, Rey CC, Lejards C, Dahan L, Verret L. Early disruption of parvalbumin expression and perineuronal nets in the hippocampus of the Tg2576 mouse model of Alzheimer’s disease can be rescued by enriched environment. Neurobiol Aging. 2018;72:147–58.
Ambrad Giovannetti E, Fuhrmann M. Unsupervised excitation: GABAergic dysfunctions in Alzheimer’s disease. Brain Res. 2019;1707:216–26.
Rey CC, Robert V, Bouisset G, Loisy M, Lopez S, Cattaud V, et al. Altered inhibitory function in hippocampal CA2 contributes in social memory deficits in Alzheimer’s mouse model. iScience. 2022;25:103895.
Busche MA, Chen X, Henning HA, Reichwald J, Staufenbiel M, Sakmann B, et al. Critical role of soluble amyloid-β for early hippocampal hyperactivity in a mouse model of Alzheimer’s disease. Proc Natl Acad Sci U S A. 2012;109:8740–5.
Hijazi S, Heistek TS, Scheltens P, Neumann U, Shimshek DR, Mansvelder HD, et al. Early restoration of parvalbumin interneuron activity prevents memory loss and network hyperexcitability in a mouse model of Alzheimer’s disease. Mol Psychiatry. 2020;25:3380–98.
Hijazi S, Heistek TS, van der Loo R, Mansvelder HD, Smit AB, van Kesteren RE. Hyperexcitable parvalbumin interneurons render hippocampal circuitry vulnerable to amyloid beta. iScience. 2020;23:101271.
Shaftel SS, Griffin WST, O’Banion MK. The role of interleukin-1 in neuroinflammation and Alzheimer disease: an evolving perspective. J Neuroinflammation. 2008;5:7.
Seo HJ, Park JE, Choi S-M, Kim T, Cho SH, Lee K-H, et al. Inhibitory neural network’s impairments at hippocampal CA1 LTP in an aged transgenic mouse model of Alzheimer’s disease. Int J Mol Sci. 2021;22:698.
Reichelt AC, Hare DJ, Bussey TJ, Saksida LM. Perineuronal nets: plasticity, protection, and therapeutic potential. Trends Neurosci. 2019;42:458–70.
Crapser JD, Spangenberg EE, Barahona RA, Arreola MA, Hohsfield LA, Green KN. Microglia facilitate loss of perineuronal nets in the Alzheimer’s disease brain. EBioMedicine. 2020;58:102919.
Pirbhoy PS, Rais M, Lovelace JW, Woodard W, Razak KA, Binder DK, et al. Acute pharmacological inhibition of matrix metalloproteinase-9 activity during development restores perineuronal net formation and normalizes auditory processing in Fmr1 KO mice. J Neurochem. 2020;155:538–58.
Suttkus A, Rohn S, Jäger C, Arendt T, Morawski M. Neuroprotection against iron-induced cell death by perineuronal nets - an in vivo analysis of oxidative stress. Am J Neurodegener Dis. 2012;1:122–9.
Reichelt AC. Is loss of perineuronal nets a critical pathological event in Alzheimer’s disease? EBioMedicine. 2020;59:102946.
Chen G, Zhang Y, Li X, Zhao X, Ye Q, Lin Y, et al. Distinct inhibitory circuits orchestrate cortical beta and gamma band oscillations. Neuron. 2017;96:1403–1418.e6.
Murray AJ, Sauer J-F, Riedel G, McClure C, Ansel L, Cheyne L, et al. Parvalbumin-positive CA1 interneurons are required for spatial working but not for reference memory. Nat Neurosci. 2011;14:297–9.
Ognjanovski N, Schaeffer S, Wu J, Mofakham S, Maruyama D, Zochowski M, et al. Parvalbumin-expressing interneurons coordinate hippocampal network dynamics required for memory consolidation. Nat Commun. 2017;8:15039.
Deng X, Gu L, Sui N, Guo J, Liang J. Parvalbumin interneuron in the ventral hippocampus functions as a discriminator in social memory. Proc Natl Acad Sci U S A. 2019;116:16583–92.
Colgin LL. Rhythms of the hippocampal network. Nat Rev Neurosci. 2016;17:239–49.
Penttonen M, Kamondi A, Acsády L, Buzsáki G. Gamma frequency oscillation in the hippocampus of the rat: intracellular analysis in vivo. Eur J Neurosci. 1998;10:718–28.
Bartos M, Vida I, Jonas P. Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks. Nat Rev Neurosci. 2007;8:45–56.
Buzsáki G, Leung LW, Vanderwolf CH. Cellular bases of hippocampal EEG in the behaving rat. Brain Res. 1983;287:139–71.
Hájos N, Paulsen O. Network mechanisms of gamma oscillations in the CA3 region of the hippocampus. Neural Netw. 2009;22:1113–9.
Pelkey KA, Chittajallu R, Craig MT, Tricoire L, Wester JC, McBain CJ. Hippocampal GABAergic Inhibitory Interneurons. Physiol Rev. 2017;97:1619–747.
Antonoudiou P, Tan YL, Kontou G, Upton AL, Mann EO. Parvalbumin and somatostatin interneurons contribute to the generation of hippocampal gamma oscillations. J Neurosci. 2020;40:7668–87.
Whittington MA, Traub RD, Jefferys JG. Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation. Nature. 1995;373:612–5.
Fisahn A, Pike FG, Buhl EH, Paulsen O. Cholinergic induction of network oscillations at 40 Hz in the hippocampus in vitro. Nature. 1998;394:186–9.
Fellous JM, Sejnowski TJ. Cholinergic induction of oscillations in the hippocampal slice in the slow (0.5–2 Hz), theta (5–12 Hz), and gamma (35–70 Hz) bands. Hippocampus. 2000;10:187–97.
LeBeau FEN, Towers SK, Traub RD, Whittington MA, Buhl EH. Fast network oscillations induced by potassium transients in the rat hippocampus in vitro. J Physiol. 2002;542:167–79.
Mann EO, Radcliffe CA, Paulsen O. Hippocampal gamma-frequency oscillations: from interneurones to pyramidal cells, and back. J Physiol. 2005;562:55–63.
Tiesinga P, Sejnowski TJ. Cortical enlightenment: are attentional gamma oscillations driven by ING or PING? Neuron. 2009;63:727–32.
Kopell N, Ermentrout G. Mechanisms of phase-locking and frequency control in pairs of coupled neural oscillators. In: Fiedler B, Editor. Handbook of Dynamical Systems. 2002.p. 3, 5–54.
Brunel N, Hakim V. Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comput. 1999;11:1621–71.
Brunel N. Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons. J Physiol Paris. 2000;94:445–63.
Brunel N, Wang X-J. What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. J Neurophysiol. 2003;90:415–30.
Geisler C, Brunel N, Wang X-J. Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges. J Neurophysiol. 2005;94:4344–61.
Ardid S, Wang X-J, Gomez-Cabrero D, Compte A. Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas. J Neurosci. 2010;30:2856–70.
Economo MN, White JA. Membrane properties and the balance between excitation and inhibition control gamma-frequency oscillations arising from feedback inhibition. PLoS Comput Biol. 2012;8:e1002354.
Goldberg EM, Clark BD, Zagha E, Nahmani M, Erisir A, Rudy B. K+ channels at the axon initial segment dampen near-threshold excitability of neocortical fast-spiking GABAergic interneurons. Neuron. 2008;58:387–400.
Kriener B, Hu H, Vervaeke K. Parvalbumin interneuron dendrites enhance gamma oscillations. Cell Rep. 2022;39:110948.
Rudy B, McBain CJ. Kv3 channels: voltage-gated K+ channels designed for high-frequency repetitive firing. Trends Neurosci. 2001;24:517–26.
Goldberg JH, Tamas G, Yuste R. Ca2+ imaging of mouse neocortical interneurone dendrites: Ia-type K+ channels control action potential backpropagation. J Physiol. 2003;551:49–65.
Hu H, Martina M, Jonas P. Dendritic mechanisms underlying rapid synaptic activation of fast-spiking hippocampal interneurons. Science. 2010;327:52–8.
Acknowledgements
Not applicable.
Funding
FC was supported by the Italian Ministry of Health (Research Grant: GR-2019–12370446). MDA was supported by the American Alzheimer’s Association (AARG-21–851219), by the Italian Ministry of Health (Research Grant: RF-2018–12365527), by Regione Lazio (PO FESR LAZIO 2014/2020, T0002E0001), by the Italian Ministry of Universities and Research (Prot. 2020Z73J5A) and by Fondazione Roma (Rome, Italy). PK was supported by an under-40 grant from the Italian Association for Alzheimer’s Research (AIRALTZH-AGYR2020), by the Italian Ministry of Health (Research Grant: GR-2019–12370446) and by the American Alzheimer’s Association (AARG-22–922961).
Author information
Authors and Affiliations
Contributions
MLDP, MDA, and PK contributed to the conception and design of the manuscript; MLDP, IP and CZ conducted the literature search, interpreted the data and drafted the manuscript; FC critically revised the manuscript; MDA and PK performed the supervision of the research team. All authors participated in writing, reading and approving the final manuscript.
Authors’ information
In this study, the author’s different backgrounds and expertise elucidate the comprehensive nature of this review. In particular, MLDP, IP, MDA and PK collectively possess extensive expertise in pre-clinical studies involving animal models, with particular focus on animal models of AD; they also have expertise in molecular biology and biomolecular processes and mechanisms, thus contributing significantly to the interpretation of pre-clinical data reviewed in this manuscript. This collective knowledge and experience formed a robust foundation for understanding the molecular underpinnings discussed herein.
On the other hand, FC and CZ amplify the clinical perspectives presented in the article. Furthermore, FC’s considerable expertise in the implementation of tACS in patients enabled the article to be enriched with insights on practical applications of this technique.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
De Paolis, M.L., Paoletti, I., Zaccone, C. et al. Transcranial alternating current stimulation (tACS) at gamma frequency: an up-and-coming tool to modify the progression of Alzheimer’s Disease. Transl Neurodegener 13, 33 (2024). https://doi.org/10.1186/s40035-024-00423-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s40035-024-00423-y