Review
Toward noninvasive brain stimulation 2.0 in Alzheimer’s disease

https://doi.org/10.1016/j.arr.2021.101555Get rights and content

Highlights

  • The use of Noninvasive Brain Stimulation in Alzheimer’s Disease is promising.

  • The rising of precision-medicine strives towards the personalization of protocols.

  • We review and discuss the most innovative solutions to tailor stimulation interventions.

  • Multidisciplinary approaches might be the key to increase the efficacy of protocols.

Abstract

Noninvasive brain stimulation techniques (NiBS) have gathered substantial interest in the study of dementia, considered their possible role in help defining diagnostic biomarkers of altered neural activity for early disease detection and monitoring of its pathophysiological course, as well as for their therapeutic potential of boosting residual cognitive functions. Nevertheless, current approaches suffer from some limitations. In this study, we review and discuss experimental NiBS applications that might help improve the efficacy of future NiBS uses in Alzheimer’s Disease (AD), including perturbation-based biomarkers for early diagnosis and disease tracking, solutions to enhance synchronization of oscillatory electroencephalographic activity across brain networks, enhancement of sleep-related memory consolidation, image-guided stimulation for connectome control, protocols targeting interneuron pathology and protein clearance, and finally hybrid-brain models for in-silico modeling of AD pathology and personalized target selection. The present work aims to stress the importance of multidisciplinary, translational, model-driven interventions for precision medicine approaches in AD.

Section snippets

Precision medicine in Alzheimer’s disease

In high- and middle-income countries, life expectancy has increased, with the older age population outnumbering previous census reports. As people age, however, the incidence of neurodegenerative diseases also rises, with 6.2 million people being affected by Alzheimer’s Disease (AD) in the United States alone in 2021, an estimate expected to increase in the forthcoming years (Alzheimer’s Association, 2021). The biggest challenges in AD are represented by its complex, multifactorial nature,

Noninvasive brain stimulation approaches in Alzheimer’s disease: towards precision medicine

NiBS can be useful in understanding brain network pathophysiology, expanding on traditional recording techniques of spontaneous or evoked electroencephalographic or magnetoencephalographic activity. Indeed, NiBS offers the opportunity to directly interact with brain functioning in a noninvasive, safe and painless way, with a good time resolution and relatively high spatial precision.

In the clinical domain, TMS is the most widely used technique of noninvasive modulation of state and activities

A translational framework and roadmap for NiBS in AD

Early in the pathophysiological course of AD, changes of the excitation/inhibition balance due to altered interneuronal responses and synaptic transmission occur that can be detected through TMS-derived measures of cortical excitability. The use of combined TMS-EEG might help to expand the detection of cortical alterations beyond the motor cortex and possibly stimulate residual plasticity mechanisms (Fig. 4a–c, 1st row). Pathological shifts in brain oscillations -namely of the networks

Conclusions

Conceptually new NiBS approaches are now under the lens of ongoing trials, aiming at system-scaled interventions capable of integrating the multi-level biological and neurophysiological complexity of AD. Such innovative therapeutic approaches are supported by high spatiotemporal resolution, adaptive tuning based on ongoing plastic changes, and individualized protocols. Our view on present and future NiBS opportunities in AD aims to primarily stress the importance of multidisciplinary,

CRediT authorship contribution statement

Arianna Menardi: Conceptualization, Writing – original draft. Simone Rossi: Writing – review & editing. Giacomo Koch: Writing – review & editing. Harald Hampel: Writing – review & editing. Andrea Vergallo: Writing – review & editing. Michael A. Nitsche: Writing – review & editing. Yaakov Stern: Writing – review & editing. Barbara Borroni: Writing – review & editing. Stefano F. Cappa: Writing – review & editing. Maria Cotelli: Writing – review & editing. Giulio Ruffini: Writing – review &

Declaration of interest

AM declares no conflict of interest.

SR declares no conflict of interest.

GK declares no conflict of interest.

HH is an employee of Eisai Inc. He declares no competing financial interests related to the present article and his contribution to this article reflects entirely and only his own academic expertise on the matter. HH serves as Senior Associate Editor for the Journal Alzheimer’s & Dementia and does not receive any fees or honoraria since May 2019; before May 2019 he had received lecture

Acknowledgements

We would like to acknowledge support from the NIH in the USA, specifically the National Institue of Aging (NIA) via the grant R01 AG060981-01 awarded to the senior author Emiliano Santarnecchi.

References (156)

  • H. Hampel et al.

    Time for the systems-level integration of aging: resilience enhancing strategies to prevent Alzheimer’s disease

    Prog. Neurobiol.

    (2019)
  • W.-Y. Hsu et al.

    Effects of non-invasive brain stimulation on cognitive function in healthy aging and Alzheimer’s disease: a systematic review and meta-analysis

    Neurobiol. Aging

    (2015)
  • Y.-Z. Huang et al.

    The after-effect of human theta burst stimulation is NMDA receptor dependent

    Clin. Neurophysiol.

    (2007)
  • A. Ihara et al.

    Gamma-band desynchronization in language areas reflects syntactic process of words

    Neurosci. Lett.

    (2003)
  • Z. Jafari et al.

    Neural oscillations and brain stimulation in Alzheimer’s disease

    Prog. Neurobiol.

    (2020)
  • J. Jeong

    EEG dynamics in patients with Alzheimer’s disease

    Clin. Neurophysiol.

    (2004)
  • G. Koch et al.

    Transcranial magnetic stimulation of the precuneus enhances memory and neural activity in prodromal Alzheimer’s disease

    NeuroImage

    (2018)
  • G. Koch et al.

    Transcranial magnetic stimulation: emerging biomarkers and novel therapeutics in Alzheimer’s disease

    Neurosci. Lett.

    (2020)
  • J.P. Lefaucheur et al.

    Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): an update (2014–2018)

    Clin. Neurophysiol.

    (2020)
  • B.P. Lucey et al.

    Amyloid-β diurnal pattern: possible role of sleep in Alzheimer’s disease pathogenesis

    Neurobiol. Aging

    (2014)
  • R. Mariorenzi et al.

    Non-invasive evaluation of central motor tract excitability changes following peripheral nerve stimulation in healthy humans

    Electroencephalogr. Clin. Neurophysiol. Evoked Potentials Sect.

    (1991)
  • Y. Mimura et al.

    Neurophysiological biomarkers using transcranial magnetic stimulation in Alzheimer’s disease and mild cognitive impairment: a systematic review and meta-analysis

    Neurosci. Biobehav. Rev.

    (2021)
  • P.C. Miranda et al.

    The electric field in the cortex during transcranial current stimulation

    NeuroImage

    (2013)
  • S. Moguilner et al.

    Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: a multicenter study

    NeuroImage

    (2021)
  • B. Molaee-Ardekani et al.

    Effects of transcranial direct current stimulation (tDCS) on cortical activity: a computational modeling study

    Brain Stimul.

    (2013)
  • D.V. Moretti et al.

    MCI patients’ EEGs show group differences between those who progress and those who do not progress to AD

    Neurobiol. Aging

    (2011)
  • M.A. Ahmed et al.

    Effects of low versus high frequencies of repetitive transcranial magnetic stimulation on cognitive function and cortical excitability in Alzheimer’s dementia

    J. Neurol.

    (2012)
  • Alzheimer’s Association

    2021 Alzheimer’s disease facts and figures

    Alzheimer’s Dement.

    (2021)
  • A. Antal et al.

    Transcranial alternating current and random noise stimulation: possible mechanisms

    Neural Plast.

    (2016)
  • C. Babiloni et al.

    Hippocampal, amygdala, and neocortical synchronization of theta rhythms is related to an immediate recall during rey auditory verbal learning test

    Hum. Brain Mapp.

    (2009)
  • A.M. Bastos et al.

    Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory

    PNAS

    (2018)
  • A. Benussi et al.

    Transcranial magnetic stimulation distinguishes Alzheimer disease from frontotemporal dementia

    Neurology

    (2017)
  • A. Benussi et al.

    The impact of transcranial magnetic stimulation on diagnostic confidence in patients with Alzheimer disease

    Alzheimer’s Res. Ther.

    (2018)
  • A. Benussi et al.

    Classification accuracy of transcranial magnetic stimulation for the diagnosis of neurodegenerative dementias

    Ann. Neurol.

    (2020)
  • R.F. Betzel et al.

    Optimally controlling the human connectome: the role of network topology

    Sci. Rep.

    (2016)
  • R. Boyce et al.

    Causal evidence for the role of REM sleep theta rhythm in contextual memory consolidation

    Science

    (2016)
  • A.-K. Brem et al.

    Corticomotor plasticity predicts clinical efficacy of combined neuromodulation and cognitive training in Alzheimer’s disease

    Front. Aging Neurosci.

    (2020)
  • M.R. Brier et al.

    Loss of intranetwork and internetwork resting state functional connections with Alzheimer’s disease progression

    J. Neurosci.

    (2012)
  • R.L. Buckner

    Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory

    J. Neurosci.

    (2005)
  • S.S. Buss et al.

    Therapeutic noninvasive brain stimulation in Alzheimer^s disease and related dementias

    Curr. Opin. Neurol.

    (2019)
  • M. Bystad 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)
  • S. Casarotto et al.

    Stratification of unresponsive patients by an independently validated index of brain complexity

    Ann. Neurol.

    (2016)
  • A. Chinnakkaruppan et al.

    Gamma entrainment: impact on neurocircuits, glia, and therapeutic opportunities

    Trends Neurosci.

    (2020)
  • C.-S. Chu et al.

    Cognitive effects and acceptability of non-invasive brain stimulation on Alzheimer’s disease and mild cognitive impairment: a component network meta-analysis

    J. Neurol. Neurosurg. Psychiatry

    (2021)
  • M. Cotelli et al.

    Improved language performance in Alzheimer disease following brain stimulation

    J. Neurol. Neurosurg. Psychiatry

    (2011)
  • M. Cotelli et al.

    Anodal tDCS during face-name associations memory training in Alzheimer’s patients

    Front. Aging Neurosci.

    (2014)
  • L. De Gennaro et al.

    The fall of sleep K-complex in Alzheimer disease

    Sci. Rep.

    (2017)
  • F.P. De Lange et al.

    Interactions between posterior gamma and frontal alpha/beta oscillations during imagined actions

    Front. Hum. Neurosci.

    (2008)
  • G. Devi et al.

    Open-label, short-term, repetitive transcranial magnetic stimulation in patients With Alzheimer’s disease with functional imaging correlates and literature review

    Am. J. Alzheimer’s Dis. Other Dement.

    (2014)
  • M. Dhaynaut et al.

    Effects of modulating gamma oscillations via 40 Hz transcranial alternating current stimulation (tACS) on Tau PET imaging in mild to moderate Alzheimer’s Disease

    J. Nucl. Med.

    (2020)
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