Skip to main content

REVIEW article

Front. Psychiatry, 22 May 2018
Sec. Psychopathology
This article is part of the Research Topic Cognitive Enhancement in Psychiatric Disorders View all 29 articles

Brain Stimulation in Alzheimer's Disease

  • 1Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan
  • 2Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan
  • 3Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
  • 4Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung, Taiwan
  • 5Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan

Brain stimulation techniques can modulate cognitive functions in many neuropsychiatric diseases. Pilot studies have shown promising effects of brain stimulations on Alzheimer's disease (AD). Brain stimulations can be categorized into non-invasive brain stimulation (NIBS) and invasive brain stimulation (IBS). IBS includes deep brain stimulation (DBS), and invasive vagus nerve stimulation (VNS), whereas NIBS includes transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), electroconvulsive treatment (ECT), magnetic seizure therapy (MST), cranial electrostimulation (CES), and non-invasive VNS. We reviewed the cutting-edge research on these brain stimulation techniques and discussed their therapeutic effects on AD. Both IBS and NIBS may have potential to be developed as novel treatments for AD; however, mixed findings may result from different study designs, patients selection, population, or samples sizes. Therefore, the efficacy of NIBS and IBS in AD remains uncertain, and needs to be further investigated. Moreover, more standardized study designs with larger sample sizes and longitudinal follow-up are warranted for establishing a structural guide for future studies and clinical application.

Introduction

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and accounts for most of dementia in the elderly (1, 2). The prevalence of dementia due to AD in adults aged more than 60 years was 4.02% (3). 35.6 million adults were victims of dementia in the world in 2010, and the number is estimated to be 65.7 million in 2030 (4). AD is costly, with worldwide spending estimated to be US $422 billion in 2009 (5). Currently, cholinesterase inhibitors and N-methyl-D-aspartate receptor partial antagonist, memantine, are the main pharmacologic treatments for patients with AD. However, these treatments are accompanied by adverse effects and the response is limited (6). Therefore, alternative treatments require urgent development.

The use of brain stimulation has recently garnered considerable clinical and academic interest. In this review, we explore invasive brain stimulation (IBS), non-invasive brain stimulation (NIBS), and their potential applications in the AD field. IBS includes deep brain stimulation (DBS) and invasive VNS. NIBS includes transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), electroconvulsive treatment (ECT), magnetic seizure therapy (MST), cranial electrostimulation (CES), and non-invasive vagus nerve stimulation (VNS).

Invasive Stimulation Methods

Deep Brain Stimulation

A deep brain stimulation (DBS) system includes electrode leads, wires, and a pulse generator. Neurosurgeons implant electrode leads in the brain and pulse generator below the collar bone. Both are connected by wires which are tunneled underneath the skin. To date, DBS is the Food and Drug Administration (FDA)-approved for the management of Parkinson's disease, and essential tremor. In addition, this device has also been approved for refractory obsessive-compulsive disorder and dystonia symptoms as a humanitarian device exemption (710).

The first DBS trial for AD was performed in 1984, and the targeted brain region was the nucleus basalis of Meynert (NBM). Turnbull and colleagues found no improvement in memory or cognition, but the researchers noted preserved cortical glucose metabolic activity in the left parietal and left temporal lobes as well as the partial arrest of deterioration in the left frontal area (11). However, no subsequent trials of DBS for AD were performed for 26 years. When using DBS of the fornix to treat obesity in 2008, Hamani et al. discovered “deja vu-like” sensations during surgery. The researchers also found improvements in spatial associative learning and verbal learning after 3 weeks of DBS treatment (12). Therefore, in 2010, a Phase I trial was implemented to investigate DBS treatment of the fornix/hypothalamus in six adults with early AD. Two patients experienced autobiographical experiential phenomena during surgery. Moreover, after 12-month DBS treatment, the patients exhibited improved memory, reduced cognitive decline, reversed glucose metabolism (13), and increased hippocampal volume (14).

Because the Phase I trial demonstrated the promising effects of DBS of the fornix, the same group enrolled 42 participants with mild, probable AD for Phase II study (15). In this randomized double-blind trial, 21 participants in “off stimulation group” did not receive stimulation, whereas 21 participants in “on stimulation group” underwent continuous DBS stimulation for 12 months. Subsequently, all participants receive stimulation for 12 months. However, the first year of this trial revealed no significant differences of cognitive scores between these two groups. Moreover, this trial revealed that the cognitive function of patients aged < 65 years significantly worsened after 1 year of DBS, whereas patients aged ≥65 exhibited a slight improvement in cognitive function. In terms of safety, the authors observed four acute serious safety events and three long-term serious events, and suggested DBS was well-tolerated (15).

In addition to the Phase I (13) and Phase II trials (15) of fornix DBS in North America, DBS for AD studies have also been conducted in Europe. In France, Fontaine et al. reported that after 12 months of fornix DBS, a patient with mild cognitive decline showed stabilized cognitive performance and increased mesial temporal lobe metabolism (16). In Germany, Kuhn and colleagues delivered bilateral DBS over the NBM of 6 participants with mild to moderate AD (17). The authors used the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) to evaluate the patients' cognition. Four of the six patients were considered responders 12 months after surgery. Moreover, several participants exhibited increased temporal and amygdalohippocampal glucose metabolism after stimulation for almost 1 year. Based on these promising findings, Kuhn et al. performed continuous DBS of the NBM in two patients of an average age younger than that of the patients in the aforementioned Phase I trial, and who both had lower baseline ADAS-Cog scores (18). One patient's cognition had worsened after 26 months according to ADAS-Cog and Mini–Mental State Examination (MMSE) scores, whereas the other patient had a stable ADAS-Cog score and improved MMSE score after 28 months. Hardenacke et al. (19) evaluated the findings of the Phase I trial (17) and 2 new patients and suggested that performing DBS of the NBM at a younger age and earlier disease stage may favorably influence cognitive function and disease progression.

Invasive Vagus Nerve Stimulation

Vagus nerve stimulation (VNS) modulates brain network activity by stimulating tenth cranial nerve. The stimulation of tenth cranial nerve (vagus nerve) can be performed using two methods: direct invasive stimulation and indirect transcutaneous non-invasive stimulation. The invasive VNS (iVNS) system includes a pulse generator and electrodes. Surgeons attach electrodes to the left-side vagus nerve and connect them to the pulse generator which is implanted in the left thoracic region. The pulse generator delivers programmable electrical stimulation to the vagus nerve (20, 21).

Two studies have investigated the relationship between iVNS and AD (21, 22). In Sweden, researchers enrolled 10 patients with AD (22). Each patient received surgery to implant a pulse generator, which deliver programmable signals to the left-side tenth cranial nerve. The initial settings were frequency 20 Hz, pulse width 500 μs, and current 0.25 mA. The stimulation was on for 30 s followed by a pause for 5 min. After 3 months of treatment, they found the response rates were 70% (seven of 10 patients) on the ADAS-Cog and 90% (nine of 10 patients) on the MMSE. The response rates remained similar after 6 months of the iVNS treatment. Adverse effects of iVNS were transient and mild.

Therefore, based on these promising findings, the same research team recruited another seven patients with AD. The researchers followed up these total 17 patients for at least 1 year (21). They found that 1 year after iVNS treatment, the score of the ADAS-Cog in seven patients did not decline or even increase, while the score of the MMSE in 12 patients did not decline or even improve compared with baseline. These two small trials revealed that invasive VNS was well-tolerated and improved specific cognitive functions in MMSE and ADAS-Cog after 1 year and 3 months of treatment, respectively.

Non-Invasive Stimulation Methods

Transcranial Magnetic Stimulation

In 1985, Barker and colleagues first reported transcranial magnetic stimulation (TMS) on motor cortex (23). TMS delivers a rapidly changing current through a coiled wire encased in plastic above the scalp. Based on Faraday's law of electromagnetic induction, this results in a magnetic field across the skull, and subsequently generate an electric current in the targeted brain regions (24, 25). The stimulation intensity determines the dosage according to the individual's motor-evoked potential threshold, and modulates the cortical neurons (26). Repetitive TMS (rTMS) delivers trains of several pulses at the same intensity over a period of time. rTMS protocols comprises high frequency (≥ 5 Hz) and low-frequency (≤ 1 Hz) as well as various types of stimulation bursts such as theta-burst stimulation (TBS) (25).Generally, higher frequencies (e.g., 20 Hz) may increase cortical excitability, whereas lower frequencies (approximately 1 Hz) may inhibit cortical excitability (2426). However, low-frequency TMS may not always result in inhibition (27). Moreover, in the motor cortex, continuous TBS causes inhibitory aftereffects, whereas intermittent TBS causes excitatory aftereffects (28). Different stimulation protocols produce different aftereffects of different durations. For example, TBS protocols yield the longest aftereffects of up to 8 h, whereas long or multiple rTMS trains yield aftereffects of less than 1 h (29, 30).

Several trials and reviews have suggested that rTMS may be beneficial for various cognitive functions in patients with AD (3141). In Italy, Cotelli and colleagues recruited 15 patients with AD and reported that rTMS administered to the bilateral dorsolateral prefrontal cortexes (DLPFCs) enhanced accuracy in action naming (31). Based on this promising finding, this research team launched another trial of 24 adults with AD of varying severity (a mild AD group and moderate-to-severe AD group) (32). Similar to previous findings, the researchers revealed that rTMS over bilateral DLPFCs enhanced action naming in these two groups. Moreover, they noted significantly improved object naming accuracy in participants with moderate-to-severe AD but not in participants with mild AD. However, these two studies have adopted only single rTMS sessions to evaluate the immediate cognitive effects on patients with AD. The long-term cognitive effect on patients with AD remains unknown. Therefore, they further conducted a multiple-baseline trial of 10 patients with AD divided into two groups (33). The first group underwent high-frequency (20 Hz) rTMS over the left DLPFC, five times a week for 4 weeks, whereas the second group received placebo rTMS for 2 weeks, followed by high-frequency rTMS for 2 weeks. After 2-week therapy, the authors observed participants receiving real rTMS had significant higher rates of correct responses than those receiving placebo rTMS. In addition, the researchers noted that 8 weeks after the end of treatment, both groups still had lasting improved performance (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Clinical trials using tDCS as a therapeutic tool in Alzheimer's disease.

In Egypt, Ahmed and colleagues recruited 45 participants with AD and randomly assigned them into three groups (36). The first group underwent five sessions of high-frequency (20 Hz) rTMS over the DLPFC. The second group received low-frequency (1 Hz) rTMS, while the third group underwent sham rTMS. The results showed a significant improvement in MMSE after applying high-frequency (20 Hz) rTMS. In addition to the DLPFC, Eliasova and colleagues applied high-frequency (10 Hz) rTMS over the right inferior frontal gyrus (IFG) (39). Ten participants with early AD underwent 10 Hz rTMS over the right IFG and vertex in random order, 2250 stimuli per session. The authors found a significant improvement in in the Trail Making Test parts A and B after applying 10 Hz rTMS over the right IFG.

In China, Zhao and colleagues included 30 participants with AD, and assigned 17 participants into the rTMS group, 13 participants into the sham group (38). Patients of the rTMS group underwent 30 sessions of 20 Hz rTMS over three brain regions for 6 weeks, whereas the control group received placebo stimulation. Three brain regions included posterior temporal T5/T6 and parietal P3/P4, based on the 10–20 electroencephalogram system. The authors found a significant improvement in ADAS-Cog, MMSE, as well as World Health Organization and University of California–Los Angeles Auditory Verbal Learning Test after applying rTMS over the three brain regions for 6 weeks.

In Israel, Bentwich and colleagues developed a combined treatment of high-frequency rTMS and cognitive training (rTMS-COG) (34). Eight patients with AD underwent daily rTMS-COG treatment for 6 weeks, and then maintained two sessions per week for 3 months. High-frequency rTMS were delivered over six specific brain regions including Broca's area, Wernicke's area, bilateral DLPFC, and right and left parietal somatosensory association cortices (R-pSAC and L-pSAC, respectively). The average ADAS-Cog scores significantly improved from 22.5 at baseline to 18.3 at 6-week and 18.5 at 4.5-month. Clinical Global Impression of Change (CGIC) scores also improved by 1.0 and 1.6 points, respectively. Based on these positive results, the same group recruited 15 patients with AD and randomly assigned them into two groups (37). Seven participants underwent rTMS-COG one hour per day, five times a week for 6 weeks, followed by two times a week for three months. Eight participants in the placebo group received sham treatment. The authors found an improvement in ADAS-Cog and CGIC after applying rTMS-COG for 6 weeks and 4.5 months. However, the effects of rTMS and cognitive training are difficult to differentiate because these trials lacked a control group receiving only cognitive training. Moreover, they stimulated six brain regions instead of only the DLPFC. The cognitive effects of stimulation on different regions remain unclear. Therefore, a recent review suggested that further trials are required to use a larger sample size to investigate the synergic effects of rTMS and cognitive training and investigate the cognitive effects on different brain regions (42).

Transcranial Direct Current Stimulation

The transcranial direct current stimulation (tDCS) delivers electric current, typically ranged 1 to 2 mA, through two or more electrodes placed on the scalp (43). Researchers put anodal and cathodal electrodes into holding bags and moisten them with saline or conductive gel to lower electric resistance. Two electrodes are placed over the head based on the international 10–20 point system. This week current penetrates skull and modulates neural activity of targeted brain regions (44). Generally, anodal tDCS increases cortical excitability in the brain region under and around the placement, while cathode tDCS decreases (45). tDCS may modulate neuronal activity with polarity change to altering membrane polarization (46, 47). Besides, tDCS is safe (48), tolerable, and low cost for patients, therefore, the studies with tDCS use have grown in decades.

A number of small trials have suggested that tDCS may enhance specific cognitive functions in patients with AD (4955). Ferruci and colleagues enrolled 10 patients with probable AD, who received anodal, cathodal or sham tDCS in three sessions (49). These patients underwent stimulation over the bilateral temporoparietal (TP) with a current intensity of 1.5 mA for 15 min/session. When patients underwent sham tDCS, they received stimulation for only 10 s. The authors found anodal tDCS improved word recognition task accuracy after stimulation compared with baseline (17.9 vs. 15.5,p = 0.0068). But cathodal tDCS significantly worsened it, while sham tDCS left it unchanged from baseline (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Clinical trials using tDCS as a therapeutic tool in Alzheimer's disease.

Boggio and colleagues demonstrated that anodal tDCS over the left DLPFC and temporal cortex improved Visual Recognition Memory (VRM) in patients with AD (50). The researchers enrolled 10 AD participants who received three sessions including two real stimulations and one sham stimulation. These patients underwent real stimulation over the left DLPFC or temporal cortex with a current intensity of 2 mA for 30 min per session. The sham stimulation was applied only for the first 30 s. The authors assessed the neuropsychological tests during tDCS stimulation. They found tDCS over left DLPFC and temporal cortex significantly improved VRM tasks. The same group revised their study design, which allowed them to evaluate the long-lasting outcome of tDCS (51). They applied tDCS bilaterally over the temporal regions through two scalp anodal electrodes. These patients received stimulation over the bilateral temporal regions with a current intensity of 2 mA for 30 min a day, 5 days a week. After 5-day treatment, a significant improvement in VRM was observed, and the improvement maintained for 1 month after treatment. However, no significant improvement in visual attention or general cognitive performance was found.

In Egypt, Khedr and colleagues included 34 participants with AD and randomly assigned them to three groups. Participants of the anodal group and the cathodal group underwent daily stimulation for 10 consecutive days, with a current intensity of 2 mA for 25 min/day. The authors observed a significant improvement on MMSE scores after applying anodal or cathodal tDCS for 10 days (52).

In addition to tDCS, Cotelli and colleagues developed a combined therapy of anodal tDCS with individualized computerized memory training or motor training (55). The authors recruited 36 participants with AD and randomly assigned them to three groups. Patients in the first group underwent anode tDCS and individualized computerized memory training, while those in the second group received placebo tDCS and individualized computerized memory training. Participants in the third group underwent anodal tDCS and motor training. The tDCS stimulation was applied over the left DLPFC with a current intensity of 2 mA for 25 min a day, 5 days a week, for 2 weeks. Their findings showed a significant improvement on Face-Name associations in AD patients receiving individualized computerized memory training.

However, the results of Bystad and colleagues are inconsistent with previous findings. The authors recruited 25 AD patients and randomly assigned them into active tDCS group or placebo tDCS group. Patients underwent six sessions of stimulation over the left temporal cortex for 10 days, with a current intensity of 2 mA for 30 min/session. No significant difference was observed between the active tDCS group and placebo tDCS group in neurocognitive tests (53). To address these conflicting results, further trials are required to investigate different trial design, stimulation protocol, and standardized neuropsychological memory assessment.

Transcranial Alternating Current Stimulation

Transcranial alternating current stimulation (tACS) delivers a current which oscillates above and below zero with a given stimulation strength (i.e., peak-to-peak amplitude) at a particular frequency (56). In tDCS, the excitability thresholds of neuronal membrane potentials are modulated (44, 57), whereas tACS directly interacts with ongoing neuronal activity during cognitive or sensory-motor processes, leading to an entrainment or synchronization of brain network oscillations (5659).

In previous studies, stimulation frequencies have been chosen within the range of the human electroencephalography frequency band and close to the frequency of the predominant oscillations of neuronal networks and cognitive processes (56, 60, 61). Brain oscillations represent various brain functions. Because specific frequencies reflect particular ongoing cognitive or sensory-motor processes (56, 60), tACS may enhance ongoing processes through exogenous augmentation of those oscillations (60, 62). Therefore, tACS has the potential to synchronize frequency-specific neuronal networks, thereby causing behavioral changes (61). Moreover, tACS may have the potential to infer causal associations between brain oscillations and cognitive processes (57, 60, 61).

Small trials have shown that tACS can improve specific cognitive functions in healthy adults by directly interacting with ongoing oscillatory cortical activity (56, 60, 61). For example, a sham-controlled crossover trial of 24 healthy adults reveled that tACS significantly improved retrieval accuracy (63). Therefore, tACS may also have potential effects on patients with AD. However, no study with tACS in AD has been published in PubMED. One trial of tACS for AD patients is registered at clinicaltrials.gov. Further trials are required to investigate the potential roles of tACS for cognitive enhancement in patients with AD.

Electroconvulsive Treatment

Cerletti et al. first used electrical stimulation to cause convulsions in a patient with schizophrenia who was experiencing delusions and hallucinations (64). They reported that they restored the patient to “clear-headedness” and health. Ever since, numerous electroconvulsive treatment (ECT) trials have been conducted for psychiatric disorders. ECT has been approved by the US FDA to treat major depression, mania, schizophrenia, and catatonia (65). Whether ECT-induced seizures can result in cognitive impairment is debated. Most adverse cognitive effects of ECT last a short amount of time. Modifications of and improvements to treatment techniques have been implemented to minimize cognitive side effects (66).

Numerous studies and many meta-analyses have shown gray matter atrophy and lower levels of brain-derived neurotrophic factor (BDNF) are associated with AD (1, 2). Moreover, a meta-analysis revealed that ECT may increase BDNF levels in depressed patients (67). Studies have investigated APOE-ε4 and beta amyloid level after ECT treatment, but the findings are contradictory (68). Moreover, in a trial of ECT for depression, gray matter, and hippocampus volume were reported to increase following ECT (69).

Kumar et al. reviewed 5,154 publications and suggested ECT may improve long-term cognitive outcomes in late-life depression (LLD) (70). For example, Hausner et al. included 44 elderly inpatients with MDD, and divided these patients into three groups (dementia group: 12 subjects, MCI group: 19 subjects, no cognitive impairment (NCI) group: 13 subjects) (71). They delivered right unilaterally at minimal 250% seizure threshold or bilaterally at minimal 150% seizure threshold, two to three times per week. In the dementia group, the pre-ECT MMSE = 22.7 (4.4) and the post-6 month MMSE is 25.6 (3.0). Verwijk et al. included 42 depressed patients aged ≥55 years (72). They found improvement in the Trail Making Test-A (76.21 vs. 61.63, p = 0.024) and Letter Fluency Test (9.00 vs. 12.50, p = 0.004) but not in the MMSE after 6 months. Besides, a retrospective cohort study of 126 patients with ECT treatment reported that the MMSE score was significantly higher at the 6-month compared with baseline (27.96 vs. 26.25, p < 0.01) (73). However, these studies addressed elderly depression instead of AD. One trial of ECT for AD patients has been registered at clinicaltrials.gov. Further studies of ECT in patients with AD are required.

Magnetic Seizure Therapy

Magnetic seizure therapy (MST) is a new implementation of TMS. It is based on the rationale of ECT. Similar to ECT, MST induces seizures using high-intensity rTMS, but with greater control. One study demonstrated the antidepressant effect of MST and identified a response rate of approximately 50–60% (74). A study of 10 patients with refractory depression reported that the relative glucose metabolism increased in brain regions including the medial frontal cortex, orbitofrontal cortex, basal ganglia, and DLPFC after MST treatment (75). This indicated that the mechanism of MST treatment may be associated with these activities in these brain regions.

A systematic review of 11 MST trials revealed little to no adverse cognitive effects (76). Moreover, Kosel et al. identified significantly-improved verbal learning performance in refractory depressed patients (77). Besides, Lisanby et al. found that MST improved the velocity and accuracy of visual cancellation tasks in patients with major depression (78). These studies have revealed that TMS may improve cognitive function in depressed patients. However, until now no trial with MST in AD has been published in PubMED or registered at clinicaltrials.gov. Luber et al. reviewed the applications of TMS and MST in neuropsychiatric illnesses related to cerebral aging (79). The authors suggested MST may enhance cognition or reduce amnesia. Therefore, MST warrants further exploration for its potential effect on patients with AD.

Cranial Electrotherapy Stimulation

Cranial Electrotherapy Stimulation (also referred to as cranial electrostimulation [CES]) applies pulsed, low-amplitude, electrical currents (typically < 1 mA) to the brain through ear clip electrodes. The US FDA has approved CES for the treating depression, anxiety, and insomnia (80).

Small trials have demonstrated that transcutaneous electrical nerve stimulation (TENS) may enhance specific cognitive function in patients with AD (81, 82). Scherder and colleagues (81) recruited 16 participants with early-stage AD, and assigned them equally into the experimental group or the placebo group. The researchers fixed two electrodes on the participant's back between Th 1 and Th 5. These patients underwent stimulation with asymmetric biphasic square impulses in bursts of trains, 30 min per day, for 6 weeks. Each trains contained nine pulses with an internal frequency of 160 Hz. The repletion rate was 2 Hz and pulse width was 40 μs. After a 6-week treatment, a significant improvement was observed in Face Recognition, Picture Recognition and Recognition subtest of the 8 Words Test.

Based on these promising findings, the same research team from the Netherlands used the same protocol in the mid-stage of AD (82). They enrolled 16 patients with mid-stage AD. The subjects of the experimental group received 30-min stimulation daily for 6 weeks. The protocol was similar to previous study. Compared with TENS in an early stage, they observed TENS caused less beneficial effects in patients in the mid-stages of AD.

Scherder and colleagues further investigated the cognitive effects of CES in AD patients, because CES mimics TENS but mediated stimulation via the patients' earlobes (head) instead of patients' back. This research team selected 18 participants with AD, and randomly assigned them into the intervention group and the control group (83). Participants of the intervention group underwent low-frequency (0.5 Hz) stimulation with an intensity of 10 to 600 μA, 30 min per day, 5 days per week for 6 weeks. However, after 6-week CES treatment, no improvement in cognition was found.

Therefore, Scherder and colleagues launched a study of high-frequency (100 Hz) CES in 21 patients with AD, and assigned theses participants into the experimental group or the control group (84). The protocol was similar to previous trial except the frequency. Patients in the intervention group underwent high-frequency (100 Hz) stimulation with an intensity of 10–600 μA, 30 min/day, and 5 days/week. However, the results revealed no cognitive improvement after 6-week treatment. Further research with large sample sizes and better designs may be required to evaluate the effect of CES on cognition.

Non-invasive Vagus Nerve Stimulation

Non-invasive VNS (nVNS) does not require a surgical procedure to implant an electrode. nVNS devices are portable and can stimulate the vagus nerve indirectly through the skin of neck or ear (8587). nVNS is less expensive, carries a lower risk, and is more convenient than iVNS.

Two small trials have shown iVNS may enhance cognitive function in patients with AD (21, 22). In Sweden, researchers enrolled 10 patients with AD (22). Each patient received surgery to implant a pulse generator, which deliver programmable signals to the left-side tenth cranial nerve. The initial settings were frequency 20 Hz, pulse width 500 μs, and current 0.25 mA. The stimulation was on for 30 s followed by a pause for 5 min. After 3 months of treatment, they found the response rates were 70% (seven of 10 patients) on the ADAS-Cog and 90% (nine of 10 patients) on the MMSE. Moreover, 6 months after the iVNS treatment, response rate was still 70% on the ADAS-Cog, and 70% on the MMSE. Adverse effects of invasive VNS were transient and mild.

Therefore, based on these promising findings, the same research team recruited another seven patients with AD. The researchers followed up these total 17 patients for at least 1 year (21). They found that 1 year after iVNS treatment, the score of the ADAS-Cog in seven patients did not decline or even increase, while the score of the MMSE in 12 patients did not decline or even improve compared with baseline. These two small trials revealed that invasive VNS was well-tolerated and improved specific cognitive functions in MMSE and ADAS-Cog after 1 year and 3 months of treatment, respectively.

Non-invasive VNS may affect cognition through the same neural pathway. Until now, no trial with non-invasive NVS in AD has been published in PubMED or registered at clinicaltrials.gov. Further studies of non-invasive VNS in patients with AD are required.

Brain Targets and Mechanisms in Invasive Brain Stimulation

Nucleus Basalis of Meynert

Nucleus basalis of Meynert (NBM) is the first target for DBS in AD (11). The NBM is a group of cholinergic nucleus in the forebrain (88). Previous studies have shown loss of central cholinergic neurons of the basal forebrain cholinergic system in AD patients (8991). Moreover, in early-stage AD, volume reductions developed in posterior parts of NBM (92). The atrophy of cholinergic neurons is considered to result in cognitive impairment in AD (93). Therefore, current DBS trials are based on the hypothesis that stimulating NBM may enhance the cholinergic system and thereafter improve the cognitive functions in patients with AD (94).

Fornix

The fornix is an integral white matter bundle in the medial diencephalon. It connects the medial temporal lobes to the hypothalamus, and serves as a vital role in the memory circuit of Papez (95, 96). Previous studies have shown that fornix lesions cause severe memory impairments (97, 98). Besides, the memory impairment and progression in AD are correlated with axonal degeneration and dysfunction in the fornix (99). Therefore, several trials were performed to evaluate the hypothesis that fornix DBS could enhance the circuit of Papez and thereafter improve memory and cognitive functions (10, 16).

Vagus Nerve

The possible mechanism for cognitive improvement through iVNS is based on the neural anatomy. The vagus nerve (tenth cranial nerve) projects to the locus coeruleus (LC), which is the major nucleus of origin for noradrenergic projections in the brain (100). Studies have revealed atrophy of the LC in patients with AD (101). Moreover, decreased norepinephrine (NE) concentration in the temporal cortex is correlated with cognitive impairment in patients with AD (102). In addition, NE can inhibit the inflammatory activation of microglial cells and functions as an endogenous anti-inflammatory agent (103). Therefore, iVNS may increase the NE concentration and decrease inflammation. These mechanisms may involve in specific cognitive functions in AD. Further trials with large sample are required to investigate this hypothesis.

Brain Targets and Mechanisms in Non-Invasive Brain Stimulation

Dorsolateral Prefrontal Cortex (DLFPC)

In contrast to IBS, no consensus has been made for NIBS regarding which brain region should be targeted in AD. Most NIBS studies (3133, 36, 52, 55) including TMS, tDCS targeted the DLPFC, a region involving in the decline of working memory and specific executive functions in early AD (104, 105). Moreover, the DLPFC may enable compensatory mechanism for working memory performance, and change dynamic neuroplasticity after prefrontal cortex damage (106108). Thus, these findings may support the use of DLPFC as a potential stimulation target to improve specific cognitive functions in patients with AD.

Broca's Area, Wernicke's Area, and Parietal Somatosensory Association Cortex (PSAC)

In addition to DLPFC, other cortex areas have been investigated. Broca's area, located in the left frontal part of the temporal lobe, involves sentence comprehension in articulatory rehearsal (109) whereas Wernicke's area, located in the left frontal and left posterior part of the temporal lobe, processes lexical meanings of words (110). Right parietal somatosensory association cortex (PSAC) is in the parietal lobe and associated with visual and spatial attention impairment in AD (111, 112). Two trials targeted six brain regions including right DLPFC, left DLPFC, Borca's area, Wernicke's area, PSAC, and left PSAC (34, 37). These two trials of rTMS over DLPFC, Broca's area, Wernicke's area, and PSAC reported improved ADAS-cog in patients with AD.

Inferior Frontal Gyrus

Right inferior frontal gyrus (IFG) plays an important role in the right-lateralized ventral attention network governing reflexive reorienting (113, 114). Previous neuroimaging study has demonstrated that right IFG involves in dissociating inhibition, attention, and response control in the frontoparietal network (115). The lateral prefrontal cortex, particularly the right IFG, can be activated during response inhibition in the go/no-go task (116). Chambers and colleagues reported that rTMS over the right IFG could modulate stop-signal reaction time (117). Elisaova and his colleagues targeted IFG and found that rTMS may improve attention in patients with early AD (39).

Temporal Cortex

Increasing evidences have shown the association between dysfunction or atrophy of temporal cortex and Alzheimer's diseases (118). Mesial temporal lobe dysfunction is correlated with memory deficits such as episodic memory impairment (119). Boggio and colleagues reported that anodal tDCS over bilateral temporal cortex improved visual recognition memory in patients with AD (51). However, Bystad and colleagues found no significant improvement after tDCS over left temporal cortex (53). The inconsistence may be caused by anatomical differences, limited sample size, severity of AD, and different neuropsychological tests (53). Further studies are suggested to evaluate these differences.

Temporopariatel Cortex

In addition to temporal cortex, hypofunction or atrophy of temporopariatel (TP) cortex has been noted in AD (120, 121). Both pilot trials of rTMS and tDCS over TP areas have shown promising results. Zhao and colleagues applied rTMS over TP cortex and found a significant improvement in cognitive and language function (38). Ferrucci and colleagues reported that tDCS over TP areas can improve recognition memory performance in patients with AD (49).

In summary, current invasive DBS studies aimed at the subcortical areas such as NBM and fornix, while non-invasive DBS studies aimed the cortical areas such as DLFPC, temporal cortex, Broca's are, Wernicke's area, and PSAC. Generally speaking, the subcortical area is associated with emotion and behavior (122), whereas cortical function is related to cognition (123). However, whether the stimulated regions meet the outcome variables are not clearly evaluated and understood. Further studies are needed to evaluate the targeted brain areas and cognitive outcomes.

Stimulation Therapy Combined With Cognitive Training or Cognitive-Challenging Activities

Two trials of rTMS combined with cognitive training (rTMS-COG) have shown promising results in patients with AD (34, 37) and suggest synergistic effects better than rTMS therapy or cognitive training alone. However, the synergistic effects of rTMS-COG are unclear due to the lack of a control group with cognitive therapy only. Therefore, this made it difficult to differentiate the effects between rTMS and cognitive therapy. Furthermore, they applied rTMS over six brain areas including DLPFC. This also made it difficult to compare with other rTMS trials over one or two brain areas. Further controlled-design, larger, multi-center studies are needed.

Practical and Ethical Challenges

IBS treatments, especially DBS, need surgical procedures and cause more concerns about the safety and ethical issues. A few pilot studies have reported that the surgery was well-tolerated with no adverse effects (10, 16, 124), but an AD trial with DBS over fornix has noted four acute serious safety events and three long-term serious events (15). Because DBS surgery and stimulation may cause neurologic and psychiatric side effects, and patients with AD tend to have more comorbidities than normal aged population, several reviews have raised the ethical considerations about participants selection, decision-making procedure, and informed consent (124, 125).

On the other hand, NIBS therapies such as rTMS and tDCS led to less safety and ethical concerns. rTMS may cause mild headache, tinnitus, short-term hearing loss, short-term memory change, or acute psychiatric effects. All these adverse effects are transient and disappear after turning off (25). The most serious side effect is seizure, but the incidence is rare. In a study that reviewed trials by rTMS over non-motor areas between 1998 and 2003, only two seizure cases were found in total 3,092 participants (126). Similarly, tDCS may cause relatively minor adverse effects including fatigue, mild headache, nausea, or itching (127, 128).

Improving Cognition Indirectly by Improving Depression

Previous studies of ECT and MST in depressed patients have shown improvement not only in depressive symptoms but also in cognitive functions (71, 72, 77, 78). However, those trials investigated older participants with depression instead of participants with AD. Therefore, the improvement in cognition may correlate with the improvement in depressive symptoms. Whether ECT or MST can improve cognition directly or indirectly remains unclear. Further studies are needed to explore the underlying indirect mechanisms in AD.

Conclusions

Studies are increasingly investigating brain stimulation techniques as novel therapeutic approaches to AD. Although some studies have revealed promising results, many lack large samples and the appropriate power, or are poorly designed and not hypothesis-driven. This review examined IBS therapies, namely DBS and invasive VNS, and NIBS therapies, namely TMS, tDCS, tACS, ECT, MST, CES, and non-invasive VNS. Because many brain stimulation methods have no standard settings and guidelines, a robust comparison of these trials remains incomplete. However, stimulation-associated improvements in memory and specific cognitive functions are promising. Moreover, stimulation that is targeted at multiple brain regions or combined with other treatments such as cognitive training appear to produce more positive effects. Therefore, although the field of brain stimulation is relatively immature, such techniques, especially rTMS, warrant further study for their therapeutic implications on patients with AD.

Author Contributions

C-HC drafted the initial manuscript. H-YL provided expert opinions and reviewed the final submitted manuscript. C-HL critically reviewed the draft of manuscript, and approved the final submitted version manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This work was supported by grants from China Medical University Hospital (DMR-107-201), and the Ministry of Health and Welfare, Taiwan (MOHW107-TDU-B-212-123004).

References

1. Querfurth HW, LaFerla FM. Alzheimer's disease. N Engl J Med. (2010) 362:329–44. doi: 10.1056/NEJMra0909142

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Scheltens P, Blennow K, Breteler MMB, de Strooper B, Frisoni GB, Salloway S, et al. Alzheimer's disease. Lancet (2016) 388:505–17. doi: 10.1016/S0140-6736(15)01124-1

PubMed Abstract | CrossRef Full Text

3. Fiest KM, Roberts JI, Maxwell CJ, Hogan DB, Smith EE, Frolkis A et al. The prevalence and incidence of dementia due to Alzheimer's disease: a systematic review and meta-analysis. Can J Neurol Sci. (2016) 43(Suppl. 1):S51–82. doi: 10.1017/cjn.2016.36

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Prince M, Bryce R, Albanese E, Wimo A, Ribeiro W, Ferri CP. The global prevalence of dementia: a systematic review and meta analysis. Alzheimer's & dementia: J Alzheimer's Assoc. (2013) 9:63–75 e62. doi: 10.1016/j.jalz.2012.11.007

PubMed Abstract | CrossRef Full Text

5. Wimo A, Winblad B, Jonsson L. The worldwide societal costs of dementia: estimates for 2009. Alzheimer's Dement. (2010) 6:98–103. doi: 10.1016/j.jalz.2010.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Shafqat S. Alzheimer disease therapeutics: perspectives from the developing world. J Alzheimer's Dis. (2008) 15:285–87. doi: 10.3233/JAD-2008-15211

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Miocinovic S, Somayajula S, Chitnis S, Vitek JL. History, applications, and mechanisms of deep brain stimulation. JAMA Neurol. (2013) 70:163–71. doi: 10.1001/2013.jamaneurol.45

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Mirzadeh Z, Bari A, Lozano AM. The rationale for deep brain stimulation in Alzheimer's disease. J Neural Transm. (2016) 123:775–83. doi: 10.1007/s00702-015-1462-9

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Viana JNM, Bittlinger M, Gilbert F. Ethical considerations for deep brain stimulation trials in patients with early-onset Alzheimer's disease. J Alzheimer's Dis. (2017) 58:289–301. doi: 10.3233/JAD-161073

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Laxton AW, Lozano AM. Deep brain stimulation for the treatment of Alzheimer disease and dementias. World Neurosurg. (2013) 80:S28 e21–8. doi: 10.1016/j.wneu.2012.06.028

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Turnbull IM, McGeer PL, Beattie L, Calne D, Pate B. Stimulation of the basal nucleus of Meynert in senile dementia of Alzheimer's type. a preliminary report. Appl Neurophysiol. (1985) 48:216–21.

PubMed Abstract | Google Scholar

12. Hamani C, McAndrews MP, Cohn M, Oh M, Zumsteg D, Shapiro CM et al. Memory enhancement induced by hypothalamic/fornix deep brain stimulation. Ann Neurol. (2008) 63:119–23. doi: 10.1002/ana.21295

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Laxton AW, Tang-Wai DF, McAndrews MP, Zumsteg D, Wennberg R, Keren R, et al. A phase I trial of deep brain stimulation of memory circuits in Alzheimer's disease. Ann Neurol. (2010) 68:521–34. doi: 10.1002/ana.22089

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Sankar T, Chakravarty MM, Bescos A, Lara M, Obuchi T, Laxton AW, et al. Deep brain stimulation influences brain structure in Alzheimer's disease. Brain Stimul. (2015) 8:645–54. doi: 10.1016/j.brs.2014.11.020

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Lozano AM, Fosdick L, Chakravarty MM, Leoutsakos JM, Munro C, Oh E, et al. A phase II study of fornix deep brain stimulation in mild Alzheimer's disease. J Alzheimer's Dis. (2016) 54:777–87. doi: 10.3233/JAD-160017

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Fontaine D, Deudon A, Lemaire JJ, Razzouk M, Viau P, Darcourt J, et al. Symptomatic treatment of memory decline in Alzheimer's disease by deep brain stimulation: a feasibility study. J Alzheimer's Dis. (2013) 34:315–23. doi: 10.3233/JAD-121579

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kuhn J, Hardenacke K, Lenartz D, Gruendler T, Ullsperger M, Bartsch C, et al. Deep brain stimulation of the nucleus basalis of Meynert in Alzheimer's dementia. Mol Psychiatry (2015) 20:353–60. doi: 10.1038/mp.2014.32

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Kuhn J, Hardenacke K, Shubina E, Lenartz D, Visser-Vandewalle V, Zilles K, et al. Deep brain stimulation of the nucleus basalis of meynert in early stage of Alzheimer's dementia. Brain Stimul. (2015) 8:838–39. doi: 10.1016/j.brs.2015.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hardenacke K, Hashemiyoon R, Visser-Vandewalle V, Zapf A, Freund HJ, Sturm V, et al. Deep brain stimulation of the nucleus basalis of meynert in Alzheimer's dementia: potential predictors of cognitive change and results of a long-term follow-up in eight patients. Brain Stimul. (2016) 9:799–800. doi: 10.1016/j.brs.2016.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Cimpianu CL, Strube W, Falkai P, Palm U, Hasan A. Vagus nerve stimulation in psychiatry: a systematic review of the available evidence. J Neural Transm. (2017) 124:145–58. doi: 10.1007/s00702-016-1642-2

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Merrill CA, Jonsson MA, Minthon L, Ejnell H, C-son Silander H, Blennow K, et al. Vagus nerve stimulation in patients with Alzheimer's disease: additional follow-up results of a pilot study through 1 year. J Clin Psychiatry (2006) 67:1171–78. doi: 10.4088/JCP.v67n0801

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Sjogren MJ, Hellstrom PT, Jonsson MA, Runnerstam M, Silander HC, Ben-Menachem E. Cognition-enhancing effect of vagus nerve stimulation in patients with Alzheimer's disease: a pilot study. J Clin Psychiatry (2002) 63:972–80. doi: 10.4088/JCP.v63n1103

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of human motor cortex. Lancet (1985) 1:1106–7. doi: 10.1016/S0140-6736(85)92413-4

PubMed Abstract | CrossRef Full Text

24. Hallett M. Transcranial magnetic stimulation: a primer. Neuron (2007) 55:187–99. doi: 10.1016/j.neuron.2007.06.026

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Rossi S, Hallett M, Rossini PM, Pascual-Leone A. Safety of TMSCG. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol. (2009) 120:2008–39. doi: 10.1016/j.clinph.2009.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sandrini M, Umilta C, Rusconi E. The use of transcranial magnetic stimulation in cognitive neuroscience: a new synthesis of methodological issues. Neurosci Biobehav Rev. (2011) 35:516–36. doi: 10.1016/j.neubiorev.2010.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Caparelli E, Backus W, Telang F, Wang G, Maloney T, Goldstein R, et al. Is 1 Hz rTMS always inhibitory in healthy individuals? Open Neuroimaging J. (2012) 6:69–74. doi: 10.2174/1874440001206010069

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Huang YZ, Edwards MJ, Rounis E, Bhatia KP, Rothwell JC. Theta burst stimulation of the human motor cortex. Neuron (2005) 45:201–6. doi: 10.1016/j.neuron.2004.12.033

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hoogendam JM, Ramakers GM, Di Lazzaro V. Physiology of repetitive transcranial magnetic stimulation of the human brain. Brain Stimul. (2010) 3:95–118. doi: 10.1016/j.brs.2009.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Luber B, Lisanby SH. Enhancement of human cognitive performance using transcranial magnetic stimulation (TMS). Neuroimage (2014) 85 (Pt 3):961–70. doi: 10.1016/j.neuroimage.2013.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Cotelli M, Manenti R, Cappa SF, Geroldi C, Zanetti O, Rossini PM, et al. Effect of transcranial magnetic stimulation on action naming in patients with Alzheimer disease. Arch Neurol. (2006) 63:1602–4. doi: 10.1001/archneur.63.11.1602

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Cotelli M, Manenti R, Cappa SF, Zanetti O, Miniussi C. Transcranial magnetic stimulation improves naming in Alzheimer disease patients at different stages of cognitive decline. Eur J Neurol. (2008) 15:1286–92. doi: 10.1111/j.1468-1331.2008.02202.x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Cotelli M, Calabria M, Manenti R, Rosini S, Zanetti O, Cappa SF, et al. Improved language performance in Alzheimer disease following brain stimulation. J Neurol Neurosurg Psychiatry. (2011) 82:794–97. doi: 10.1136/jnnp.2009.197848

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Bentwich J, Dobronevsky E, Aichenbaum S, Shorer R, Peretz R, Khaigrekht M, et al. Beneficial effect of repetitive transcranial magnetic stimulation combined with cognitive training for the treatment of Alzheimer's disease: a proof of concept study. J Neural Transm. (2011) 118:463–71. doi: 10.1007/s00702-010-0578-1

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Haffen E, Chopard G, Pretalli JB, Magnin E, Nicolier M, Monnin J, et al. A case report of daily left prefrontal repetitive transcranial magnetic stimulation (rTMS) as an adjunctive treatment for Alzheimer disease. Brain Stimul. (2012) 5:264–66. doi: 10.1016/j.brs.2011.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ahmed MA, Darwish ES, Khedr EM, El Serogy YM, Ali AM. Effects of low versus high frequencies of repetitive transcranial magnetic stimulation on cognitive function and cortical excitability in Alzheimer's dementia. J Neurol. (2012) 259:83–92. doi: 10.1007/s00415-011-6128-4

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Rabey JM, Dobronevsky E, Aichenbaum S, Gonen O, Marton RG, Khaigrekht M. Repetitive transcranial magnetic stimulation combined with cognitive training is a safe and effective modality for the treatment of Alzheimer's disease: a randomized, double-blind study. J Neural Transm. (2013) 120:813–9. doi: 10.1007/s00702-012-0902-z

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Zhao J, Li Z, Cong Y, Zhang J, Tan M, Zhang H, et al. Repetitive transcranial magnetic stimulation improves cognitive function of Alzheimer's disease patients. Oncotarget (2017) 8:33864–71. doi: 10.18632/oncotarget.13060

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Eliasova I, Anderkova L, Marecek R, Rektorova I. Non-invasive brain stimulation of the right inferior frontal gyrus may improve attention in early Alzheimer's disease: a pilot study. J Neurol Sci. (2014) 346:318–22. doi: 10.1016/j.jns.2014.08.036

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Elder GJ, Taylor JP. Transcranial magnetic stimulation and transcranial direct current stimulation: treatments for cognitive and neuropsychiatric symptoms in the neurodegenerative dementias? Alzheimer's Res Ther. (2014) 6:74. doi: 10.1186/s13195-014-0074-1

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Hsu WY, Ku Y, Zanto TP, Gazzaley A. Effects of noninvasive brain stimulation on cognitive function in healthy aging and Alzheimer's disease: a systematic review and meta-analysis. Neurobiol Aging (2015) 36:2348–59. doi: 10.1016/j.neurobiolaging.2015.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Gonsalvez I, Baror R, Fried P, Santarnecchi E, Pascual-Leone A. Therapeutic noninvasive brain stimulation in Alzheimer's disease. Curr Alzheimer Res. (2017) 14:362–76. doi: 10.2174/1567205013666160930113907

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Woods AJ, Antal A, Bikson M, Boggio PS, Brunoni AR, Celnik P, et al. A technical guide to tDCS, and related non-invasive brain stimulation tools. Clin Neurophysiol. (2016) 127:1031–48. doi: 10.1016/j.clinph.2015.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Nitsche MA, Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol. (2000) 527 (Pt. 3):633–39. doi: 10.1111/j.1469-7793.2000.t01-1-00633.x

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist (2011) 17:37–53. doi: 10.1177/1073858410386614

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Brunoni AR, Nitsche MA, Bolognini N, Bikson M, Wagner T, Merabet L, et al. Clinical research with transcranial direct current stimulation (tDCS): challenges and future directions. Brain Stimul. (2012) 5:175–95. doi: 10.1016/j.brs.2011.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Kronberg G, Bridi M, Abel T, Bikson M, Parra LC. Direct current stimulation modulates LTP and LTD: activity dependence and dendritic effects. Brain Stimul. (2017) 10:51–8. doi: 10.1016/j.brs.2016.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Bikson M, Grossman P, Thomas C, Zannou AL, Jiang J, Adnan T, et al. Safety of transcranial direct current stimulation: evidence based update 2016. Brain Stimul. (2016) 9:641–61. doi: 10.1016/j.brs.2016.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

49. 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) 71:493–98. doi: 10.1212/01.wnl.0000317060.43722.a3

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Boggio PS, Khoury LP, Martins DC, Martins OE, de Macedo EC, Fregni F. Temporal cortex direct current stimulation enhances performance on a visual recognition memory task in Alzheimer disease. J Neurol Neurosurg Psychiatry (2009) 80:444–7. doi: 10.1136/jnnp.2007.141853

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Boggio PS, Ferrucci R, Mameli F, Martins D, Martins O, Vergari M, et al. Prolonged visual memory enhancement after direct current stimulation in Alzheimer's disease. Brain Stimul. (2012) 5:223–30. doi: 10.1016/j.brs.2011.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Khedr EM, Gamal NF, El-Fetoh NA, Khalifa H, Ahmed EM, Ali AM, et al. A double-blind randomized clinical trial on the efficacy of cortical direct current stimulation for the treatment of Alzheimer's disease. Front Aging Neurosci. (2014) 6:275. doi: 10.3389/fnagi.2014.00275

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Bystad M, Gronli 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. Alzheimer's Res Ther. (2016) 8:13. doi: 10.1186/s13195-016-0180-3

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Penolazzi B, Bergamaschi S, Pastore M, Villani D, Sartori G, Mondini S. Transcranial direct current stimulation and cognitive training in the rehabilitation of Alzheimer disease: a case study. Neuropsychol Rehabil. (2015) 25:799–817. doi: 10.1080/09602011.2014.977301

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Cotelli M, Manenti R, Brambilla M, Petesi M, Rosini S, Ferrari C, et al. Anodal tDCS during face-name associations memory training in Alzheimer's patients. Front Aging Neurosci. (2014) 6:38. doi: 10.3389/fnagi.2014.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Antal A, Paulus W. Transcranial alternating current stimulation (tACS). Front Hum Neurosci. (2013) 7:317. doi: 10.3389/fnhum.2013.00317

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Kuo MF, Nitsche MA. Effects of transcranial electrical stimulation on cognition. Clin EEG Neurosci. (2012) 43:192–9. doi: 10.1177/1550059412444975

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Miniussi C, Harris JA, Ruzzoli M. Modelling non-invasive brain stimulation in cognitive neuroscience. Neurosci Biobehav Rev. (2013) 37:1702–12. doi: 10.1016/j.neubiorev.2013.06.014

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Reato D, Rahman A, Bikson M, Parra LC. Effects of weak transcranial alternating current stimulation on brain activity-a review of known mechanisms from animal studies. Front Hum Neurosci. (2013) 7:687. doi: 10.3389/fnhum.2013.00687

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Herrmann CS, Rach S, Neuling T, Struber D. Transcranial alternating current stimulation: a review of the underlying mechanisms and modulation of cognitive processes. Front Hum Neurosci. (2013) 7:279. doi: 10.3389/fnhum.2013.00279

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Frohlich F, Sellers KK, Cordle AL. Targeting the neurophysiology of cognitive systems with transcranial alternating current stimulation. Expert Rev Neurother. (2015) 15:145–67. doi: 10.1586/14737175.2015.992782

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Herrmann CS, Struber D, Helfrich RF, Engel AK. EEG oscillations: from correlation to causality. Int. J. Psychophysiol. (2016) 103:12–21. doi: 10.1016/j.ijpsycho.2015.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Antonenko D, Faxel M, Grittner U, Lavidor M, Floel A. Effects of transcranial alternating current stimulation on cognitive functions in healthy young and older adults. Neural Plast. (2016) 2016:4274127. doi: 10.1155/2016/4274127

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Passione R. Italian psychiatry in an international context: Ugo Cerletti and the case of electroshock. Hist Psychiatry (2004) 15(57 Pt 1):83–104. doi: 10.1177/0957154X04039347

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Weiner RD, Reti IM. Key updates in the clinical application of electroconvulsive therapy. Int Rev Psychiatry (2017) 29:54–62. doi: 10.1080/09540261.2017.1309362

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Andrade C, Arumugham SS, Thirthalli J. Adverse effects of electroconvulsive therapy. Psychiatr Clin North Am. (2016) 39:513–30. doi: 10.1016/j.psc.2016.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Rocha RB, Dondossola ER, Grande AJ, Colonetti T, Ceretta LB, Passos IC, et al. Increased BDNF levels after electroconvulsive therapy in patients with major depressive disorder: a meta-analysis study. J Psychiatr Res. (2016) 83:47–53. doi: 10.1016/j.jpsychires.2016.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Sutton TA, Sohrabi HR, Rainey-Smith SR, Bird SM, Weinborn M, Martins RN. The role of APOE-varepsilon4 and beta amyloid in the differential rate of recovery from ECT: a review. Trans Psychiatry (2015) 5:e539. doi: 10.1038/tp.2015.39

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Bouckaert F, De Winter FL, Emsell L, Dols A, Rhebergen D, Wampers M, et al. Grey matter volume increase following electroconvulsive therapy in patients with late life depression: a longitudinal MRI study. J Psychiatry Neurosci. (2016) 41:105–14. doi: 10.1503/jpn.140322

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Kumar S, Mulsant BH, Liu AY, Blumberger DM, Daskalakis ZJ, Rajji TK. Systematic review of cognitive effects of electroconvulsive therapy in late-life depression. Am J Geriatr Psychiatry (2016) 24:547–65. doi: 10.1016/j.jagp.2016.02.053

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Hausner L, Damian M, Sartorius A, Frolich L. Efficacy and cognitive side effects of electroconvulsive therapy (ECT) in depressed elderly inpatients with coexisting mild cognitive impairment or dementia. J Clin Psychiatry (2011) 72:91–7. doi: 10.4088/JCP.10m05973gry

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Verwijk E, Comijs HC, Kok RM, Spaans HP, Tielkes CE, Scherder EJ, et al. Short- and long-term neurocognitive functioning after electroconvulsive therapy in depressed elderly: a prospective naturalistic study. Int Psychogeriatr. (2014) 26:315–24. doi: 10.1017/S1041610213001932

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Fernie G, Bennett DM, Currie J, Perrin JS, Reid IC. Detecting objective and subjective cognitive effects of electroconvulsive therapy: intensity, duration and test utility in a large clinical sample. Psychol Med. (2014) 44:2985–94. doi: 10.1017/S0033291714000658

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Cretaz E, Brunoni AR, Lafer B. Magnetic seizure therapy for unipolar and bipolar depression: a systematic review. Neural Plast. (2015) 2015:521398. doi: 10.1155/2015/521398

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Hoy KE, Thomson RH, Cherk M, Yap KS, Daskalakis ZJ, Fitzgerald PB. Effect of magnetic seizure therapy on regional brain glucose metabolism in major depression. Psychiatry Res. (2013) 211:169–75. doi: 10.1016/j.pscychresns.2012.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

76. McClintock SM, Tirmizi O, Chansard M, Husain MM. A systematic review of the neurocognitive effects of magnetic seizure therapy. Int Rev Psychiatry (2011) 23:413–23. doi: 10.3109/09540261.2011.623687

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Kosel M, Frick C, Lisanby SH, Fisch HU, Schlaepfer TE. Magnetic seizure therapy improves mood in refractory major depression. Neuropsychopharmacology (2003) 28:2045–8. doi: 10.1038/sj.npp.1300293

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Lisanby SH, Luber B, Schlaepfer TE, Sackeim HA. Safety and feasibility of magnetic seizure therapy (MST) in major depression: randomized within-subject comparison with electroconvulsive therapy. Neuropsychopharmacology (2003) 28:1852–65. doi: 10.1038/sj.npp.1300229

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Luber B, McClintock SM, Lisanby SH. Applications of transcranial magnetic stimulation and magnetic seizure therapy in the study and treatment of disorders related to cerebral aging. Dialogues Clin Neurosci. (2013) 15:87–98.

PubMed Abstract | Google Scholar

80. Gilula MF, Barach PR. Cranial electrotherapy stimulation: a safe neuromedical treatment for anxiety, depression, or insomnia. South Med J. (2004) 97:1269–70. doi: 10.1097/01.SMJ.0000136304.33212.06

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Scherder EJ, Bouma A, Steen AM. Effects of short-term transcutaneous electrical nerve stimulation on memory and affective behaviour in patients with probable Alzheimer's disease. Behav Brain Res. (1995) 67:211–9. doi: 10.1016/0166-4328(94)00115-V

CrossRef Full Text | Google Scholar

82. Scherder EJ, Bouma A. Effects of transcutaneous electrical nerve stimulation on memory and behavior in Alzheimer's disease may be stage-dependent. Biol Psychiatry (1999) 45:743–9. doi: 10.1016/S0006-3223(98)00072-9

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Scherder EJ, Deijen JB, Vreeswijk SH, Sergeant JA, Swaab DF. Cranial electrostimulation (CES) in patients with probable Alzheimer's disease. Behav Brain Res. (2002) 128:215–7. doi: 10.1016/S0166-4328(01)00323-0

CrossRef Full Text | Google Scholar

84. Scherder EJ, van Tol MJ, Swaab DF. High-frequency cranial electrostimulation (CES) in patients with probable Alzheimer's disease. Am J Phys Med Rehabil. (2006) 85:614–8. doi: 10.1097/01.phm.0000223221.17301.50

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Kraus T, Kiess O, Hosl K, Terekhin P, Kornhuber J, Forster C. CNS BOLD fMRI effects of sham-controlled transcutaneous electrical nerve stimulation in the left outer auditory canal - a pilot study. Brain stimul. (2013) 6:798–804. doi: 10.1016/j.brs.2013.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Rong P, Liu J, Wang L, Liu R, Fang J, Zhao J, et al. Effect of transcutaneous auricular vagus nerve stimulation on major depressive disorder: a nonrandomized controlled pilot study. J Affect Disord. (2016) 195:172–9. doi: 10.1016/j.jad.2016.02.031

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Hein E, Nowak M, Kiess O, Biermann T, Bayerlein K, Kornhuber J, et al. Auricular transcutaneous electrical nerve stimulation in depressed patients: a randomized controlled pilot study. J Neural Trans. (2013) 120:821–7. doi: 10.1007/s00702-012-0908-6

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Liu AK, Chang RC, Pearce RK, Gentleman SM. Nucleus basalis of Meynert revisited: anatomy, history and differential involvement in Alzheimer's and Parkinson's disease. Acta Neuropathol. (2015) 129:527–40. doi: 10.1007/s00401-015-1392-5

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Davies P, Maloney AJ. Selective loss of central cholinergic neurons in Alzheimer's disease. Lancet (1976) 2:1403. doi: 10.1016/S0140-6736(76)91936-X

PubMed Abstract | CrossRef Full Text

90. Pearson RC, Sofroniew MV, Cuello AC, Powell TP, Eckenstein F, Esiri MM, et al. Persistence of cholinergic neurons in the basal nucleus in a brain with senile dementia of the Alzheimer's type demonstrated by immunohistochemical staining for choline acetyltransferase. Brain Res. (1983) 289:375–9. doi: 10.1016/0006-8993(83)90046-X

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Whitehouse PJ, Price DL, Struble RG, Clark AW, Coyle JT, Delon MR. Alzheimer's disease and senile dementia: loss of neurons in the basal forebrain. Science (1982) 215:1237–9.

PubMed Abstract | Google Scholar

92. Grothe M, Heinsen H, Teipel SJ. Atrophy of the cholinergic Basal forebrain over the adult age range and in early stages of Alzheimer's disease. Biol Psychiatry (2012) 71:805–13. doi: 10.1016/j.biopsych.2011.06.019

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Schliebs R, Arendt T. The cholinergic system in aging and neuronal degeneration. Behav Brain Res. (2011) 221:555–63. doi: 10.1016/j.bbr.2010.11.058

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Gratwicke J, Kahan J, Zrinzo L, Hariz M, Limousin P, Foltynie T, et al. The nucleus basalis of Meynert: a new target for deep brain stimulation in dementia? Neurosci Biobehav Rev. (2013) 37(10 Pt 2):2676–88. doi: 10.1016/j.neubiorev.2013.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Nowrangi MA, Rosenberg PB. The fornix in mild cognitive impairment and Alzheimer's disease. Front Aging Neurosci. (2015) 7:1. doi: 10.3389/fnagi.2015.00001

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Tsivilis D, Vann SD, Denby C, Roberts N, Mayes AR, Montaldi D, et al. A disproportionate role for the fornix and mammillary bodies in recall versus recognition memory. Nat Neurosci. (2008) 11:834–42. doi: 10.1038/nn.2149

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Browning PG, Gaffan D, Croxson PL, Baxter MG. Severe scene learning impairment, but intact recognition memory, after cholinergic depletion of inferotemporal cortex followed by fornix transection. Cereb Cortex (2010) 20:282–93. doi: 10.1093/cercor/bhp097

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Wilson CR, Baxter MG, Easton A, Gaffan D. Addition of fornix transection to frontal-temporal disconnection increases the impairment in object-in-place memory in macaque monkeys. Eur J Neurosci. (2008) 27:1814–22. doi: 10.1111/j.1460-9568.2008.06140.x

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Mielke MM, Okonkwo OC, Oishi K, Mori S, Tighe S, Miller MI, et al. Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer's disease. Alzheimers Dement. (2012) 8:105–13. doi: 10.1016/j.jalz.2011.05.2416

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Foote SL, Bloom FE, Aston-Jones G. Nucleus locus ceruleus: new evidence of anatomical and physiological specificity. Physiol Rev. (1983) 63:844–914. doi: 10.1152/physrev.1983.63.3.844

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Bondareff W, Mountjoy CQ, Roth M. Loss of neurons of origin of the adrenergic projection to cerebral cortex (nucleus locus ceruleus) in senile dementia. Neurology (1982) 32:164–8. doi: 10.1212/WNL.32.2.164

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Matthews KL, Chen CP, Esiri MM, Keene J, Minger SL, Francis PT. Noradrenergic changes, aggressive behavior, and cognition in patients with dementia. Biol Psychiatry (2002) 51:407–16. doi: 10.1016/S0006-3223(01)01235-5

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Gavrilyuk V, Dello Russo C, Heneka MT, Pelligrino D, Weinberg G, Feinstein DL. Norepinephrine increases I kappa B alpha expression in astrocytes. J Biol Chem. (2002) 277:29662–8. doi: 10.1074/jbc.M203256200

PubMed Abstract | CrossRef Full Text

104. Kaufman LD, Pratt J, Levine B, Black SE. Executive deficits detected in mild Alzheimer's disease using the antisaccade task. Brain Behav. (2012) 2:15–21. doi: 10.1002/brb3.28

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Huntley JD, Howard RJ. Working memory in early Alzheimer's disease: a neuropsychological review. Int J Geriatr Psychiatry (2010) 25:121–32. doi: 10.1002/gps.2314

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Gigi A, Babai R, Penker A, Hendler T, Korczyn AD. Prefrontal compensatory mechanism may enable normal semantic memory performance in mild cognitive impairment (MCI). J Neuroimaging (2010) 20:163–8. doi: 10.1111/j.1552-6569.2009.00386.x

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Voytek B, Davis M, Yago E, Barcelo F, Vogel EK, Knight RT. Dynamic neuroplasticity after human prefrontal cortex damage. Neuron (2010) 68:401–8. doi: 10.1016/j.neuron.2010.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Kumar S, Zomorrodi R, Ghazala Z, Goodman MS, Blumberger DM, Cheam A, et al. Extent of dorsolateral prefrontal cortex plasticity and its association with working memory in patients with Alzheimer disease. JAMA Psychiatry (2017) 74:1266–74. doi: 10.1001/jamapsychiatry.2017.3292

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Rogalsky C, Matchin W, Hickok G. Broca's area, sentence comprehension, and working memory: an fMRI Study. Front Hum Neurosci. (2008) 2:14. doi: 10.3389/neuro.09.014.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Harpaz Y, Levkovitz Y, Lavidor M. Lexical ambiguity resolution in Wernicke's area and its right homologue. Cortex (2009) 45:1097–103. doi: 10.1016/j.cortex.2009.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Hao J, Li K, Li K, Zhang D, Wang W, Yang Y, et al. Visual attention deficits in Alzheimer's disease: an fMRI study. Neurosci Lett. (2005) 385:18–23. doi: 10.1016/j.neulet.2005.05.028

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Buck BH, Black SE, Behrmann M, Caldwell C, Bronskill MJ. Spatial- and object-based attentional deficits in Alzheimer's disease. Relationship to HMPAO-SPECT measures of parietal perfusion. Brain (1997) 120 (Pt 7):1229–44. doi: 10.1093/brain/120.7.1229

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nature reviews. Neuroscience (2002) 3:201–15. doi: 10.1038/nrn755

PubMed Abstract | CrossRef Full Text

114. Corbetta M, Patel G, Shulman GL. The reorienting system of the human brain: from environment to theory of mind. Neuron (2008) 58:306–24. doi: 10.1016/j.neuron.2008.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Dodds CM, Morein-Zamir S, Robbins TW. Dissociating inhibition, attention, and response control in the frontoparietal network using functional magnetic resonance imaging. Cereb Cortex (2011) 21:1155–65. doi: 10.1093/cercor/bhq187

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Chikazoe J, Konishi S, Asari T, Jimura K, Miyashita Y. Activation of right inferior frontal gyrus during response inhibition across response modalities. J Cogn Neurosci. (2007) 19:69–80. doi: 10.1162/jocn.2007.19.1.69

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Chambers CD, Bellgrove MA, Stokes MG, Henderson TR, Garavan H, Robertson IH, et al. Executive “brake failure” following deactivation of human frontal lobe. J Cogn Neurosci. (2006) 18:444–55. doi: 10.1162/089892906775990606

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Blennow K, de Leon MJ, Zetterberg H. Alzheimer's disease. Lancet (2006) 368:387–403. doi: 10.1016/S0140-6736(06)69113-7

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Dickerson BC, Sperling RA. Functional abnormalities of the medial temporal lobe memory system in mild cognitive impairment and Alzheimer's disease: insights from functional MRI studies. Neuropsychologia (2008) 46:1624–35. doi: 10.1016/j.neuropsychologia.2007.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Kim JJ, Andreasen NC, O'Leary DS, Wiser AK, Boles Ponto L.L, Watkins GL, et al. Direct comparison of the neural substrates of recognition memory for words and faces. Brain (1999) 122 (Pt 6):1069–83. doi: 10.1093/brain/122.6.1069

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Remy F, Mirrashed F, Campbell B, Richter W. Verbal episodic memory impairment in Alzheimer's disease: a combined structural and functional MRI study. Neuroimage (2005) 25:253–66. doi: 10.1016/j.neuroimage.2004.10.045

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Weddell RA. Effects of subcortical lesion site on human emotional behavior. Brain Cogn. (1994) 25:161–93. doi: 10.1006/brcg.1994.1029

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Damasceno BP. Relationship between cortical microinfarcts and cognitive impairment in Alzheimer's disease. Demen Neuropsychol. (2012) 6:131–6. doi: 10.1590/S1980-57642012DN06030004

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Viana JNM, Vickers JC, Cook MJ, Gilbert F. Currents of memory: recent progress, translational challenges, and ethical considerations in fornix deep brain stimulation trials for Alzheimer's disease. Neurobiol Aging (2017) 56:202–10. doi: 10.1016/j.neurobiolaging.2017.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Siegel AM, Barrett MS, Bhati MT. Deep brain stimulation for Alzheimer's Disease: ethical challenges for clinical research. J Alzheimer's Dis. (2017) 56:429–39. doi: 10.3233/JAD-160356

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Machii K, Cohen D, Ramos-Estebanez C, Pascual-Leone A. Safety of rTMS to non-motor cortical areas in healthy participants and patients. Clin Neurophysiol. (2006) 117:455–71. doi: 10.1016/j.clinph.2005.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Iyer MB, Mattu U, Grafman J, Lomarev M, Sato S, Wassermann EM. Safety and cognitive effect of frontal DC brain polarization in healthy individuals. Neurology (2005) 64:872–5. doi: 10.1212/01.WNL.0000152986.07469.E9

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Poreisz C, Boros K, Antal A, Paulus W. Safety aspects of transcranial direct current stimulation concerning healthy subjects and patients. Brain Res Bull. (2007) 72:208–14. doi: 10.1016/j.brainresbull.2007.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: brain stimulation, Alzheimer's disease (AD), transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), electroconvulsive treatment (ECT), magnetic seizure therapy (MST), cranial electrostimulation (CES)

Citation: Chang C-H, Lane H-Y and Lin C-H (2018) Brain Stimulation in Alzheimer's Disease. Front. Psychiatry 9:201. doi: 10.3389/fpsyt.2018.00201

Received: 11 November 2017; Accepted: 30 April 2018;
Published: 22 May 2018.

Edited by:

Kenji Hashimoto, Chiba University, Japan

Reviewed by:

Rogerio Panizzutti, Universidade Federal do Rio de Janeiro, Brazil
Chau-Shoun Lee, Mackay Medical College, Taiwan

Copyright © 2018 Chang, Lane and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chieh-Hsin Lin, cyndi36@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.