Abstract
Purpose of review
Alzheimer’s disease (AD) is a progressive neurodegenerative disease without effective pharmacological treatment. Noninvasive brain stimulation (NIBS) techniques, such as repetitive transcranial magnetic stimulation (rTMS) and transcranial electrical stimulation (tES), are increasingly being investigated for their potential to ameliorate the symptoms of AD and related dementias (ADRD).
Recent findings
A comprehensive literature review for primary research reports that investigated the ability of TMS/tES to improve cognition in ADRD patients yielded a total of 20 reports since 2016. Eight studies used rTMS and twelve used transcranial direct current stimulation (tDCS), the most common form of tES. Eight of the studies combined NIBS with cognitive training. Promising results should encourage continued investigation, however there is presently insufficient evidence to support widespread adoption of NIBS-based clinical treatments for ADRD.
Summary
NIBS remains an active area of investigation for treatment of ADRD, though the predominance of small, heterogeneous, proof-of-principle studies precludes definitive conclusions. We propose the establishment of a consortium to achieve the benefits of large-scale, controlled studies using biomarker-based diagnostic characterization of participants, development of neurophysiological markers to verify target engagement, and standardization of parameters.
Keywords: Repetitive transcranial magnetic stimulation, transcranial electrical stimulation, noninvasive brain stimulation, Alzheimer’s disease, mild cognitive impairment
INTRODUCTION
Alzheimer’s Disease (AD) is the most common cause of dementia worldwide [1]. With the growth of the aging population, the prevalence of AD in the United States alone is projected to rise from 5.5 million to 13.8 million by 2050 unless new treatments to prevent, slow, or reverse the disease are developed [2]. Currently available medications for AD may offer some symptomatic relief [3,4], but do not alter the underlying disease process or pathology. Recent drug trial failures for AD and related dementias (ADRD) have left the field with a lack of disease-modifying therapies [5,6]. In this context, non-pharmacological interventions including lifestyle modifications, physical activity, cognitive training, and non-invasive brain stimulation (NIBS) have been increasingly investigated as potential treatments or symptomatic therapies for AD-related cognitive decline [7–10]. This review will focus on the two most widely studied NIBS techniques to-date, transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES). However, we want to emphasize that given the complex pathophysiologic nature of ADRD, a single therapeutic intervention is unlikely to be a satisfactory response, and that combination of various interventions is probably critical. NIBS has the appeal that is can be easily combined with pharmacologic and behavioral interventions, and may play a useful role in future multimodality treatment approaches that are likely to be needed in ADRD.
TMS is a means of inducing brief pulses of intracranial electrical currents with a powerful, rapidly fluctuating, handheld electromagnet [11]. A single pulse of TMS can depolarize neuronal membranes leading to action potentials. TMS of the primary motor cortex (M1) can evoke descending corticospinal volleys, which can give rise to activations of contralateral muscles. These can be recorded as motor evoked potentials (MEPs) via electromyography (EMG). TMS to motor or non-motor regions can also elicit intracranial TMS-evoked potentials (TEPs) that can be recorded via electroencephalography (EEG) and are presumed to be the results of activation of cortical neural elements. Delivering trains of TMS pulses at a specified frequency and intensity, termed repetitive TMS (rTMS), can induce changes in brain excitability that can persist for some time after the period of stimulation [12]. The immediate aftereffects of a single rTMS application are typically measured as changes in the performance of a behavioral task or some measure of cortical excitability, such as average MEP or TEP amplitude. Daily sessions of rTMS are thought to yield a cumulative effect and form the basis for the stimulation protocols of the U.S. Food and Drug Administration (FDA)-cleared devices for clinical treatment of patients with medication-resistant for major depression [13] and obsessive-compulsive disorder [14].
In ADRD, several small pilot studies have shown promise using rTMS protocols to improve global cognition or language function [15–17], either using rTMS alone or combined with cognitive training. One example is the NeuroAD protocol (Neuronix, Ltd., Yoqneam, Israel), in which rTMS to 6 brain regions is delivered paired with interleaved cognitive training of the function of the targeted brain region [18]. There have been several early proof-of-principle studies using the NeuroAD protocol [15,16]. In 2016, a large multisite clinical trial (ClinicalTrials.gov: NCT01825330) was completed and awaits a final declaration by the U.S. FDA.
The other major form of NIBS is tES, which involves passing weak electrical current between two or more electrodes placed on the scalp [19,20]. The most common form of tES is transcranial direct current stimulation (tDCS), in which a constant current (typically 1–2 mA) is applied to create electrical gradients, which are thought to modulate cortical excitability indirectly by increasing (depolarizing) or decreasing (hyperpolarizing) the resting membrane potentials of neural elements in the vicinity of the anode or the cathode, respectively [21,22].
In ADRD, tDCS has been studied as a therapeutic tool in several pilot studies, and has shown promise in improving memory performance [23–25]. Other forms of tES include transcranial alternating current stimulation (tACS), in which the current is rapidly alternated at a specific frequency to entrain cortical oscillations, and transcranial random noise stimulation (tRNS), in which a full-band current spectrum is applied to boost endogenous rhythms by means of stochastic resonance [26]. While there have not been many studies using tACS in ADRD to date, it is an appealing approach given evidence of abnormal brain oscillations in AD [27]. Similarly, although there have not been any published reports investigating the potential therapeutic benefit of tRNS in ADRD, it has been shown to improve fluid intelligence in healthy adults when paired with adaptive cognitive training [28]. Future studies may explore the potential of these and other new NIBS techniques for ADRD.
The purpose of the present review is to assess recent developments in the investigation of NIBS as treatment for ADRD. While preliminary studies of TMS and tDCS have shown evidence of improving specific cognitive domains AD, there is at present no clear consensus about which NIBS paradigms are the most promising for treatment of ADRD, and which, if any, might be disease-modifying versus simply symptomatic. Given the rapidly changing state of the field, this review includes only recent studies from 2016–2018 and focuses on those investigations into the clinical benefit of NIBS to treat AD. For state of the field before 2016, we refer to a prior review by Gonsalvez and colleagues [7]. Since 2016, there have been a number of studies investigating the diagnostic [29,30] or prognostic [31] potential of NIBS for ADRD, or to better understand its pathophysiology [32,33], but these are outside the scope of this review. We will discuss commonalities and discrepancies across interventional studies and point out areas where further investigation is needed. Finally, we will discuss future directions, including opportunities offered by novel technologies in NIBS.
METHODS
A literature search was performed in PubMed using the following Boolean combinations of terms related to ADRD (“Alzheimer’s,” “mild cognitive impairment,” “dementia”) plus those related to NIBS (“noninvasive brain stimulation,” “non-invasive brain stimulation,” “transcranial magnetic stimulation,” “repetitive transcranial magnetic stimulation,” “theta burst stimulation,” “transcranial electrical stimulation,” “transcranial current stimulation,” “transcranial direct current stimulation,” “transcranial alternating current stimulation,” “transcranial random noise stimulation”). Articles with a publication date prior to 01/01/2016 were excluded as they were reviewed and discussed in Gonsalvez et al. [7]. Abstracts were reviewed and selected for inclusion if they represented a case study, case series, pilot or proof-of-principle study, or randomized control study for the use of NIBS as a treatment for AD or MCI, with a primary aim of improving cognitive function. Studies focusing primarily on other disease pathologies or other diagnostic groupings were not included.
RESULTS
Figure 1 shows a flow diagram of the PubMed search. The literature search yielded 39 studies focused on treatment of neurodegenerative disorders using NIBS techniques from 2016–2018; 20 of these focused on the treatment of cognition in AD or mild cognitive impairment (MCI), and were included in this review. The additional 19 studies investigated NIBS treatments for other neurodegenerative pathologies, and included primary progressive aphasia (PPA), fronto-temporal dementia (FTD), MCI due to Parkinson’s disease (PD), Lewy body disease (LBD), and other conditions outside of the scope of the current review.
Trials Using rTMS in ADRD
Table 1 lists the eight articles focusing on rTMS treatment of AD that were included in the review. Six of the eight studies focused on patients meeting criteria for AD dementia [34–39], while two studies focused on early-stage AD (prodromal AD or MCI) [40,41]. Determination of MCI or AD status was primarily based on clinical diagnostic criteria with one study used CSF biomarkers to confirm the diagnosis [40].
Table 1: Studies investigating rTMS as a therapeutic tool in ADRD.
TMS Studies 2016–2018 | Criteria for AD/MCI and disease stage | No. of participants | Sham/Control | Age | Target area; localization method | Interleaved Cognitive Training | Intensity (%RMT) | TMS frequency and pattern | Stimulation duration; number of TMS trains; number of pulses/day | Length of Intervention; Number of Sessions | Cognitive Domain | Neuropsychological Tests – Primary Outcome | Neuropsychological Tests – Secondary Outcomes | Main Significant Neuropsychological Findings |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pilot Studies and Randomized Controlled Trials | ||||||||||||||
Lee, et al., 2016 | Probable AD based on DSM-IV criteria, CDR 1–2, MMSE 18–26 (mild-moderate AD) | 26 | 2:1 Treatment:Sham | Treatment group age=71.2±7.6, Sham group age=70.3±4.8 | 6 brain regions; MRI guided | Yes | 90–110% RMT | 10 Hz rTMS; 20 trains applied with 2 seconds on, 20–40 seconds off; with interleaved cognitive task | 1 hour session/day; 3 brain regions/day; 1200 pulses/day | 6 weeks; 30 sessions | Global Cognition | ADAS-Cog | MMSE; CGIC; GDS | There was a significant improvement after the intervention in ADAS-Cog in the treatment group, but the between-group difference compared with sham was not significant. In both treatment and sham, the largest improvement was seen in mild AD compared to moderate AD. |
Zhao, et al.; 2017. | Probable AD based on DSM-IV criteria, CDR 1–2, MMSE 18–26 (mild-moderate AD) | 30 | 17:13 Treatment:Sham | Treatment group Age=69.3±5.8, Sham group Age=71.4±5.2 | Treatment areas not clearly specified, but included parietal P3/P4, posterior temporal T5/T6; 10–20 system | Yes | Not Specified | 20 Hz rTMS; 20 trains applied with 10 seconds on, 20 seconds off; with interleaved cognitive tasks | 1 hour session/day; 3 brain regions/day; 12000 pulses | 6 weeks; 30 sessions | Global Cognition & Verbal Memory | Not specified | ADAS-Cog, MMSE, MOCA, AVLT | There was a significant improvement in ADAS-Cog, MMSE, and AVLT in the treatment group, but there was no between-group difference compared with sham. Mild AD showed a larger improvement compared with moderate AD. |
Nguyen, et al.; 2017 | Probable AD by clinical diagnosis, severity ranging from MCI to moderate-to-severe AD | 10 | None | Age=70.3 (7.2) | 6 brain areas plus L DLPFC and R DLPFC; MRI guided | Yes | 100% RMT | 6 Brain Region Treatment: 10 Hz rTMS; 20 trains applied with 2 seconds on over 10 minutes; with interleaved cognitive training. DLPFC Treatment: 10 Hz rTMS; 5 trains applied with 2 seconds on over 2.5 minutes; with interleaved cognitive training. | 1 hour session/day; 4 brain regions/day; up to 1300 pulses/day | 5 weeks; 25 sessions | Global Cognition | ADAS-Cog | performance on interleaved cognitive training tasks, MMSE, Dubois score, FAB, Stroop test, locomotor score, apathy score, caregiver burden interview, dependence score | Immediately after the treatment procedure, there was improvement in the ADAS-Cog, locomotor score, apathy score, and dependence score. Six months later, ADAS-Cog scores had returned to baseline, but apathy and dependence scores showed continued improvement. |
Koch, et al.; 2018 | prodromal AD by Dubois, 2016 criteria with positive CSF biomarker | 14 | Crossover design, with participants receiving both treatment and sham stimulation | Age=70.0±5.1 | Precuneus; MRI guided, stimulation site confirmed with source localization | No | 100% RMT | 20 Hz rTMS; 40 trains applied with 2 seconds on, 28 seconds off. | 20 minutes of rTMS; 1600 pulses/day. | 2 weeks; 10 sessions | Verbal Memory, EEG, and TMS-EEG | Not specified | RAVLT, MMSE, FAB, DSST | RAVLT Delayed Recall showed a significant improvement after treatment compared with sham; other tests showed no main effect of treatment. |
Alcalá-Lozano, et al.; 2018. | diagnosis of AD by DSM-V, MMSE >= 15, GDS-Reisberg level 2–4 | 19 | 1:1 randomization into 2 active treatment groups: “simple” vs “complex” stimulation protocol | Simple Group Age=73.3±6.0; Complex Group Age=71±4.3 | Simple Protocol: singlesite DPLFC stimulation. Complex Protocol: 6 brain regions; 10–20 system | No | 100% RMT | 5 Hz rTMS; 30 trains applied with 10 seconds off, 60 seconds off. | In the Simple Protocol, single-site stimulation was applied to DLPFC daily, in the Complex Protocol, 3 brain regions were treated daily; 1500 pulses/day | 3 weeks; 15 sessions | Global Cognition | ADAS-Cog | MMSE, NPI, GDS, IDDD, CGI | Both treatment groups showed an improvement in ADAS-Cog, MMSE, IDDD, NPI immediately after treatment, which persisted one month later. There was no significant difference between the two treatment groups. |
Padala, et al.; 2018. | MCI diagnosis by Peterson’s criteria, MMSE >=23, with apathy (AES-C >=30). | 8 | Double-blind, randomized, Crossover design, with participants receiving both treatment and sham | Group 1 Age=68.0±10.0; Group 2 Age=64.0±9.0 | L DLPFC; 5.5 cm anterior to motor hotspot location | No | 120% RMT | 10 Hz rTMS; 75 trains applied with 3 seconds on, 26 seconds off. | 37.5 minutes of rTMS; 3000 pulses/day | 2 weeks; 10 sessions | Apathy | AES-C | 3MS, MMSE, TMT B, TMT A, EXIT-25, CGI, I-ADLS, ADLS, ZBS | There was a significant improvement in AES-C after the active treatment compared to the sham condition. There was also significant improvement in 3MS, MMSE, TMT A, and CGI-I in the treatment group compared with sham. |
Case Reports and Clinical Case Series | ||||||||||||||
Avirame, et al.; | moderate-severe AD by clinical diagnosis | 11 | None | Age=76±7 | Bilateral Prefrontal Cortex using deep TMS; 6 cm anterior to motor hotspot location | No | 120% RMT | 10 Hz deep TMS, 42 trains applied with 2 seconds on, 20 seconds off | 1 20-minute session/day, 2–3 times per week, with a minimum interval of 1 day between sessions | 20 sessions | Global Cognition | n/a | Mindstreams and ACE | 60% of patients improved on Mindstreams, and 77% showed improvement on the ACE compared to baseline. Treatment with deep TMS significantly improved ACE scores in a subset of the most progressed patients |
Rabey and Dobronevsky; 2016. | mild-to-moderate AD clinical diagnosis | 30 | None; Patients treated in 2 private clinics offering commercial NeuroAD treatments | not reported | 6 brain regions; MRI guided | Yes | 90–110% RMT | 3/4 Paradigms: 10 Hz rTMS; 20 trains applied with 2 seconds on over 10 minutes; with interleaved cognitive training. 1/4 Paradigm: 10 Hz rTMS; 5 trains applied with 2 seconds on over 2.5 minutes; with interleaved cognitive training. | 1 hour session/day; 3 brain regions/day; 1300 pulses/day | 6 weeks; 30 sessions | Global Cognition | n/a | ADAS-Cog and MMSE | ADAS-Cog and MMSE both improved after treatment compared to baseline scores. |
Parameters of rTMS stimulation (including intensity, frequency, duration, and number of sessions) varied considerable across protocols. Half of the studies used MRI-guided neuronavigation [34,35,39,40]. Brain regions targeted included the precuneus, prefrontal cortex, and a multi-site 6-ROI protocol adapted from NeuroAD. Interleaved cognitive training was included in four of the rTMS studies following the NeuroAD approach [34–36,39]. Two studies employed a sham control [35,36], two studies employed a crossover design with participants receiving both sham and treatment conditions sequentially [40,41], and one study compared two different stimulation paradigms [37].
The primary cognitive outcome measures studied included global cognition, verbal memory, and apathy. Overall, results suggested a potential for improvement in cognitive measures after rTMS treatments, but results were mixed as to whether rTMS was significantly more effective than sham.
Trials Using tES in ADRD
Table 2 lists the 12 trials using tES as a treatment in AD that were included in the review. AD and MCI diagnoses were mostly made clinically [42–52], aside from one case report of posterior cortical atrophy [53] which confirmed AD biomarker positivity using CSF. Five studies focused on MCI [43–47]. One case series examined the use of tES for treatment of auditory hallucinations in AD and LBD [51], and another case report examined tES for treatment of language dysfunction in AD [52].
Table 2: Studies investigating tES as a therapeutic tool in ADRD.
Electrical Stimulation Studies 2016–2018 | Criteria for AD/MCI and disease stage | No. of Participants | Type of Stimulation | Sham/Control | Interleaved Cognitive Stimulation | Age | Target area; localization method | Scalp Electrode 1 | Scalp Electrode 2 | Scalp Electrode size (cm2) | Extracranial Electrode and size (cm2) | Current | Duration (min) | Total Number of Sessions; Length of Intervention | Cognitive Domain | Neuropsychological Tests – Primary Outcome | Neuropsychological Tests – Secondary Outcomes | Main Significant Neuropsychological Findings |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pilot Studies and RCTs | ||||||||||||||||||
Bystad, et al.; 2016. | Probable AD with increased level of certainty by NINCDS-ADRDA; MMSE > 18 | 25 | tDCS; awake | 1:1 Treatment:Sham | No | Treatment group age=70.0±8.0; Sham group age=75.0±8.7 | L temporal lobe; 10–20 system | Anode = T3 | Cathode = Fp2 | 35 | None | 2 mA | 30 | 6 sessions; 10 days | Verbal Memory | CVLT-II | MMSE, TMT A, TMT B, clock-drawing test | No significant differences in CVLT-II, MMSE, TMT A, TMT B, or clock drawing test were seen between the treatment and sham group. |
Yun, et al,; 2016. | MCI diagnosis by Peterson criteria | 16 | tDCS; awake | 1:1 Treatment:Sham | No | Treatment group Age = 74.8±7.5; Sham group Age = 73.1±4.2 | Bilateral DLPFC; 10–20 system | Anode = F3 | Cathode = F4 | 25 | None | 2 mA | 30 | 6 sessions; 10 days | Subjective Memory Complaint Scale from Participants, FDG-PET | MMQ | n/a | The treatment group showed improvement in subjective memory scores on the MMQ-A (ability) and MMQ-C (contentment) subscores compared to sham. |
Ladenbauer; et al.; 2017. | Amnestic MCI (single or multidomain) by Mayo criteria, with objective cognitive decline with scores < 1 SD below norms on memory tests; MMSE >=24 | 16 | Slow oscillatory tDCS; delivered during a daytime nap | Balanced crossover design, each participant received 1 treatment and 1 sham session, at least 2 weeks apart | No | Age=71±9 | Bifrontal stimulation, using anodal current with sinusoidal oscillations at a frequency of 0.75 Hz; 10–20 system | F3 | F4 | 8 mm diameter | Bilateral Mastoids; 0.64 | 0.522 mA/cm2 | 15–25 (5 minute blocks of stimulation given during stage 2,3, or 4 NREM sleep, for a total of 3–5 blocks) | 1 session; 1 day | Visual recognition memory, EEG | Visuospatial Memory Task comprised on neutral pictures taken from the International Affective Picture System | Procedural fingertapping task, verbal memory task, location memory task | There was an improvement in visual recognition memory in the treatment group compared to sham when controlling for sleepiness. There was no effect of treatment on procedural memory, verbal memory, or location memory. |
Murugaraja, et al.; 2017 | MCI diagnosis by NIA-AA criteria, CDR=0.5 | 11 | tDCS; awake | None | No | Age=59.6 | L DLPFC; 10–20 system | Anode = F3-FP1 | Cathode = R supra-orbital region | 35 | None | 2 mA | 20 | 5 sessions; 5 days | Visual Memory | PMIT | n/a | Improved immediate and delayed recall on the PMIT immediately after conclusion of the treatment. Improvement on delayed recall PMIT persisted 1 month later |
Cruz Gonzalez, et al.; 2018 | MCI diagnosis by modified Peterson’s criteria, MOCA 19–26, CDR <=0.5 | 5 | tDCS; awake | A-B-C-A protocol; anodal tDCS + CS, sham tDCS + CS, and CS only | Yes | Age=72.8±6.6 | L DLPFC; 10–20 system | Anode = L DLPFC | n/a | 35 | R deltoid; 35 | 2 mA | 30 | 1–5 sessions total of active tDCS + cognitive stimulation | Not Specified | Not specified | Performance on Cognitive Stimulation tasks from Neuron Up, MOCA, Digit Span, TMT | There was an improvement on the Neuron Up task in three subjects who received three or more tDCS sessions |
Manenti, et al.; 2017. | Amnestic MCI by Petersen criteria, MMSE 24–30, CDR=0.5 | 18 | tDCS; awake | 1:1 Treatment:Sham | Yes | Treatment group Age=75.3±4.8; Sham group Age=75.3±2.2 | L lateral prefrontal cortex; 10–20 system | Anode = F3 | Cathode = Fp2 | 35 | n/a | 1.5 mA | 15 | Day 1 = Initial Learning Session only, Day 2 = Memory Reactivation + active tDCS or Sham Session, Day 3 and Day 30 = Retrieval Session only | Verbal Memory | Experimental Memory Task (Learning, Reactivation, Free Recall, and Recognition) | n/a | Active tDCS treatment enhanced Memory Recognition scores compared to Sham. |
Case Reports and Clinical Case Series | ||||||||||||||||||
Andrade, et al.; 2016. | AD diagnosis by NINCDSADRDA criteria, CDR = 1 | 1 | tDCS; awake | None | No | Age=73 | L DLPFC; 10–20 system | Anode = F3 | Cathode = R supraorbital region | 35 | n/a | 2 mA | 30 | 10 sessions; 2 weeks | Global Cognition | ADAS-Cog | NPI, BDS, DAD | After treatment, ADAS-Cog, NPI, BDS, and DAD showed improvement compared to baseline |
Bystad, et al.; 2016. | Early AD diagnosis, criteria not specified | 1 | tDCS; awake | None | No | Age=59 | L temporal lobe; 10–20 system | Anode = T3 | Cathode = FP2 | not specified | n/a | 2 mA | 30 | 12 sessions; 6 days | Verbal Memory | CVLT-II, EEG | MMSE, TMT A, D-KEFS Word Fluency, WMS Attention Span, Clock-drawing test | After treatment, the CVLT-II and MMSE showed improvement compared to baseline. |
Bystad, et al.; 2017. | Early-onset AD, Dubois criteria. | 1 | tDCS; awake, applied at home with help from family | None | No | Age=60 | L temporal lobe; 10–20 system | Anode = T3 | Cathode = FP2 | not specified | n/a | 2 mA | 30 | daily for 8 months | Memory, Visuospatial, Language, and Attention | RBANS | Overall the patient’s cognitive function remained stable over 8 months, with improvement in memory (immediate and delayed recall), and decline in visuospatial function. | |
Costa, et al.; 2017. | Possible AD diagnosis by NINCDS-ADRDA criteria, MMSE = 14.27 | 1 | tDCS; awake | 1 week of Sham was followed by treatment intervention | Yes | Age=67 | R angular and supramarginal gyrus; 10–20 system | Anode = P6-CP6 | Cathode = L supraorbital region | 35 | n/a | 2 mA | 30 | 5 sessions; 1 week | Language | BADA | After treatment there was a significant improvement in comprehension of verbs, compared to sham. This persisted for 2 weeks post-stimulation. | |
Gramegna, et al.; 2018. | Posterior cortical atrophy with AD diagnosis via CSF tau and a-beta | 1 | tDCS; awake | None | Cognitive rehab therapy preformed prior to initiation of tDCS | Age=58 | L DLPFC; 10–20 system | Anode = F3 | n/a | not specified | R shoulder | 2 mA | 20 | 20 sessions; 4 weeks; repeated for 2 separate cycles, total of 40 tDCS sessions | Executive function, fMRI | Stroop task while in the fMRI scanner | Complete NPS evaluation | The patient showed improvement on the Stroop task after cognitive training, which was maintained after the first and second tDCS cycle. |
Mukku, et al.; 2018. | 1 patient with an AD diagnosis, 1 patient with a LBD diagnosis | 2 | High Definition tDCS; awake | None | No | AD patient Age =; LBD patient Age=68 | 10–10 system | High Definition tDCS used five ring electrodes arranged on the scalp around the central Cathode | Cathode = CP5 | ring electrode with outer radius 12 mm, inner radius 6 mm | n/a | 2 mA | 20 | 2 sessions per day, 10–20 sessions total; 5–10 days of treatment | Auditory Hallucinations | AHRS | Both the AD and LBD patient showed decrease frequency of auditory hallucinations on the AHRS and decreased acting out behavior. |
Most tDCS studies applied stimulation to patients while they were awake, but one study examined slow oscillatory tDCS delivered during a daytime nap [44]. Four of the tDCS studies included cognitive training either before or during brain stimulation, with the intent to use brain stimulation to potentiate the effects of task-specific learning [46,47,52,53]. Out of 12 studies, three employed a separate sham control [42,43,47], and three employed sham in a crossover design [44,46,52]. Electrode localization exclusively used scalp landmarks; no studies used neuronavigation or modeling to target stimulation. Brain regions targeted included either bilateral or unilateral prefrontal cortex or temporal lobe.
A variety of neuropsychiatric outcomes were measured across studies, including global cognition, verbal memory, visual memory, subjective memory, and language. Overall, results suggested a potential for boosting cognitive function using tES, but results were mixed as to whether tES demonstrated statistically significantly superiority compared to sham.
DISCUSSION
This review found an ongoing, robust interest in the application of NIBS to ADRD, spanning a range of disease severity. Since our previous review capturing data until 2016 [7], there have been 12 new randomized-controlled trials or proof-of-principle studies, and 8 new case reports or clinical case series, representing a combined 244 ADRD patients studied. Results were encouraging for the use of NIBS to improve global cognition and memory measures in patients with a clinical diagnosis of AD. However, widespread adoption of NIBS as a standard course of treatment remains hindered by a number of methodological challenges, including the lack of clear consensus regarding optimal stimulation parameters, with variability seen in the type, intensity, frequency, location, and duration of stimulation. In the future, studies with larger numbers of participants, rigorous blinding and sham procedures, and biomarker-confirmation of AD diagnosis are needed to validate whether NIBS techniques are useful as primary or adjunct treatments for ADRD. In the following paragraphs we summarize and discuss the strengths and limitations of the state-of-the-field in several key areas.
Patient characterization
Great strides have been made in developing in vivo biomarkers of AD pathophysiology, chiefly, tests for beta-amyloid and tau proteins in the cerebral spinal fluid (CSF) or on positron emission tomography (PET) imaging. The recent NIA-AA research framework proposed by Jack and colleagues [54] promotes a biomarker-based definition of AD in vivo, allowing for standardization of diagnostic criteria for use in interventional research and biomarker studies. Whether due to cost, risk, limited access, or a combination of these factors, only a few studies in our review confirmed AD pathology using available biomarkers, and none demonstrated alteration of underlying disease pathogenesis. Instead, most studied relied on probable diagnostic criteria based on clinical and neuropsychological evaluations. The lack of thorough characterization of patients invites unknown heterogeneity, which in turn increases the risk of Type II (or false-negative) errors. Improvements in diagnostic characterization of patients will also facilitate the search for interventions for different variants of AD, dementias of non-AD etiologies, and preclinical/prodromal populations (for recent meta-analyses, see [55,56]). Attempts have been made to improve information about and access to AD biomarker test, including the recently-completed IDEAS (Imaging Dementia—Evidence for Amyloid Scanning) study (ClinicalTrials.gov: NCT02420756). In the future, we recommend a biomarker-based approach to subject inclusion in NIBS treatment trials, to confirm disease pathology and assure translatability to clinical populations.
Study design and use of sham/placebo
Small pilot studies were the most common encountered in the literature, followed by clinical reports. Publications of large, randomized, double-blinded, placebo-controlled clinical trials were lacking. The majority of studies approached NIBS as a symptomatic treatment, aimed at boosting specific domains of cognitive function. More than a third of studies employed interleaved cognitive training or used NIBS to boost or extend the effects of previously performed cognitive rehabilitation.
Our review found no large-scale studies demonstrating superiority of NIBS treatments compared to sham stimulation. Recently there has been a resurgence of interest in the placebo effect and its implications for clinical research (for a review, see [57]). This is particularly relevant to NIBS, where appropriate blinding is difficult to obtain due to the occurrence of robust peripheral (auditory, somatosensory, motor) effects that accompany TMS pulses or the ramping of tES currents. Crossover designs offer additional challenges given potential carry-over and long-lasting effects, as well as intra-individual variability of NIBS [58] coupled with inter-individual or disease-specific differences in expectation and memory, which can results in effects that are difficult to interpret. These challenges may be especially problematic in ADRD given that patients may not spontaneously report or recall prior experiences making assessment of blinding success and expected outcomes difficult. In the future, we recommend rigorous sham-control procedures without a crossover design, inclusion of only NIBS-naïve participants, and post-study assessment of blinding by both AD participants and their study partners (who may be providing information regarding functional patient outcomes).
Identification of target(s)
With the opportunity to target specific brain regions and networks, NIBS show potential for symptomatic treatment of AD-related cognitive decline in global cognition or within specific domains such as memory, language, attention, or motivation. Although brain stimulation sites varied across studies, the rationale for target sites was generally based on neuroanatomical correlates of cognitive dysfunction in AD. Studies using TMS were able to target cortical regions with greater focality and using MRI guidance, and frequently stimulated brain targets known to be strongly involved in AD pathogenesis, including the 6 brain regions adapted from the NeuroAD trial. Knowledge of distributed resting state networks also played a role in the choice of stimulation site, with one study using the precuneus as a TMS target due to connectivity with the default mode network. Several studies used tES to target symptoms of AD such as memory, apathy, language dysfunction, or auditory hallucinations. Another tES application used slow oscillatory tDCS during a daytime nap, which aimed to increase the power of sleep related slow oscillations and sleep spindles to improve memory consolidation. While the use of structural and functional neuroimaging can improve the selection of targets for TMS and tES, a major limitation common to all reviewed studies is the lack of an appropriate neurophysiological markers to gauge target engagement and monitor response. Modeling of the induced electrical field can help bridge this gap, though the future will undoubtedly require the combination of NIBS with concurrent electroencephalography (EEG), MRI, or PET imaging. While a few basic research studies highlight the potential and feasibility of these combined approaches [59–61], they have yet to be applied to clinical trials for ADRD and there remain critical questions about methodology, analysis, and interpretation.
Temporal interference
A commonality across the NIBS techniques included in this review is that their targets are largely restricted to superficial regions of cortex. Exceptions to this rule do exist, namely that the effects of TMS are polysynaptic and stimulation of deeper regions (such as the cingulate cortex) is possible with certain coils such as the double-cone [62] or H-Coil [63]. However, the physics of electromagnetic induction stipulate that deeper permeation comes at the expense of reduced focality. Likewise, some models of tDCS do suggest the induced electrical field extends beyond superficial layers, though the effects are always strongest directly adjacent to the electrodes [64]. Given the prominent role of the hippocampal formation and adjacent structures in AD pathology (or the basal ganglia in Parkinson’s and Huntington’s diseases), the ability to directly and selectively target deeper structures has long been a challenging, aspirational goal for researchers and practitioners of NIBS. This may change with a tACS-based approach of temporally interfering electrical fields, or “temporal interference” (TI) [65]. The principles of TI bear some resemblance to those of confocal microscopy, wherein two half-strength photons are directed to collide and thus summate to excite a deeper structure. In T1, two ultra-high frequency oscillations with small difference (e.g., 10,000 Hz and 10,010 Hz) are directed into the brain from opposing areas such that they “collide” in some deep structure such as the hippocampus. While the individual frequencies are too high to affect neural tissue, they summate by subtraction, resulting in a stimulating frequency of the difference (e.g., 10 Hz). To date, TI has moved beyond modeling to animal studies, confirming the ability to selectively stimulate deeper structures such as the hippocampus in rodents [65]. In the future, TI may be translated to humans who have or are at risk of developing ADRD [66], which would allow for improved focality of stimulation on deep cortical targets, including medial limbic structures.
Gamma oscillations
While the studies to date have focused on the use of NIBS to enhance neural activity related to cognition, there is preliminary evidence to suggest tACS may be able to decrease amyloid deposits the brain. Working with a mouse model of AD, Iaccarino and colleagues [67] demonstrated that using optogenetics to entrain fast-spiking parvalbumin-positive interneurons at 40 Hz (i.e., gamma frequency) reduced levels of amyloid-β (Aβ)1–40 and Aβ1–42 isoforms. In theory, tACS could achieve a similar effect in humans. Indeed, there is an ongoing open-label proof-of-principle study to test the efficacy of daily 1-hour sessions of 40 Hz tACS (ClinicalTrials.gov: NCT03290326). Further study is needed to determine whether this approach can lead to a lasting alteration of electrographic cortical rhythms, interact with proteins involved in neurodegeneration, or lead to meaningful clinical improvement in ADRD.
CONCLUSIONS
NIBS remains an active area of investigation for treatment of ADRD, though the predominance of small, heterogeneous, proof-of-principle studies precludes definitive conclusions. There is presently insufficient evidence to support widespread adoption of NIBS-based clinical treatments for ADRD, but promising results should encourage continued investigation. The future of NIBS as a therapeutic intervention for ADRD will depend on overcoming two major obstacles: (1) the standardization of NIBS stimulation parameters and confirmation of target engagement, and (2) the recruitment of large, well-characterized cohorts with a biomarker-confirmed diagnosis with sufficient longitudinal follow-up. Addressing both of these challenges is a high bar to cross for any individual research laboratory or center, though a failure to do so will keep the field mired in small, heterogeneous, proof-of-principle studies and case reports lacking in scientific rigor. We therefor propose the establishment of a large-scale, possibly international, consortium, with collaboration between academia and industry. Based on the successful model of the Alzheimer’s Disease Neuroimaging Initiative [68], methodological parameters should be published in advance and data collected from this consortium should be placed in a repository and made available to independent researchers.
KEY POINTS.
Noninvasive brain stimulation (NIBS) with or without cognitive training has the potential to improve cognition in Alzheimer’s disease and related dementias (ADRD).
A paucity of large-scale trials and a lack of consistency in treatment parameters precludes definitive conclusions.
The use of available biomarkers would greatly improve diagnostic characterization of ADRD patients.
Neurophysiological or modeling-based indicators are needed to confirm the engagement of cortical targets and monitor stimulation efficacy.
The field would benefit from a consortium or other multi-site coordinated efforts.
Acknowledgements
Financial support and sponsorship
This work was primarily supported by grants from the National Institutes of Health (NIH; 3R01MH115949-01S1 and R21AG051846). S.S.B. was further supported by the Sidney R. Baer Jr. Foundation (01028951) and NeuroNEXT. A.P.L. was also supported by the Sidney R. Baer, Jr. Foundation, Harvard Catalyst | The Harvard Clinical and Translational Science Center (NCRR and the NCATS NIH, UL1 RR025758), the Football Players Health Study at Harvard University, and by the Defense Advanced Research Projects Agency (DARPA) via HR001117S0030. The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic health care centers, the National Institutes of Health, NeuroNEXT, the Sidney R. Baer Jr. Foundation, The Football Platers Health Study, or DARPA.
Footnotes
Conflicts of Interest
A.P.L. serves on the scientific advisory boards for Starlab Neuroscience, Neuroelectrics, Neosync, NovaVision, and Cognito; and is listed as an inventor on several issued and pending patents on the real-time integration of transcranial magnetic stimulation with electroencephalography and magnetic resonance imaging. The authors declare no competing interests.
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