Transcranial magnetic stimulation reveals diminished homoeostatic metaplasticity in cognitively impaired adults

Abstract Homoeostatic metaplasticity is a neuroprotective physiological feature that counterbalances Hebbian forms of plasticity to prevent network destabilization and hyperexcitability. Recent animal models highlight dysfunctional homoeostatic metaplasticity in the pathogenesis of Alzheimer’s disease. However, the association between homoeostatic metaplasticity and cognitive status has not been systematically characterized in either demented or non-demented human populations, and the potential value of homoeostatic metaplasticity as an early biomarker of cognitive impairment has not been explored in humans. Here, we report that, through pre-conditioning the synaptic activity prior to non-invasive brain stimulation, the association between homoeostatic metaplasticity and cognitive status could be established in a population of non-demented human subjects (older adults across cognitive spectrums; all within the non-demented range). All participants (n = 40; age range, 65–74, 47.5% female) underwent a standardized neuropsychological battery, magnetic resonance imaging and a transcranial magnetic stimulation protocol. Specifically, we sampled motor-evoked potentials with an input/output curve immediately before and after repetitive transcranial magnetic stimulation to assess neural plasticity with two experimental paradigms: one with voluntary muscle contraction (i.e. modulated synaptic activity history) to deliberately introduce homoeostatic interference, and one without to serve as a control condition. From comparing neuroplastic responses across these experimental paradigms and across cohorts grouped by cognitive status, we found that (i) homoeostatic metaplasticity is diminished in our cohort of cognitively impaired older adults and (ii) this neuroprotective feature remains intact in cognitively normal participants. This novel finding suggests that (i) future studies should expand their scope beyond just Hebbian forms of plasticity that are traditionally assessed when using non-invasive brain stimulation to investigate cognitive ageing and (ii) the potential value of homoeostatic metaplasticity in serving as a biomarker for cognitive impairment should be further explored.

[1]  Dominique Makowski,et al.  bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework , 2019, J. Open Source Softw..

[2]  D. Lloyd,et al.  Transcranial alternating current stimulation at 10 Hz modulates response bias in the Somatic Signal Detection Task , 2019, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[3]  Charles Mock,et al.  Version 3 of the National Alzheimer’s Coordinating Center’s Uniform Data Set , 2018, Alzheimer disease and associated disorders.

[4]  N. Mercuri,et al.  Transcranial magnetic stimulation predicts cognitive decline in patients with Alzheimer’s disease , 2018, Journal of Neurology, Neurosurgery, and Psychiatry.

[5]  Daniele Fanelli,et al.  Opinion: Is science really facing a reproducibility crisis, and do we need it to? , 2018, Proceedings of the National Academy of Sciences.

[6]  Boaz Styr,et al.  Imbalance between firing homeostasis and synaptic plasticity drives early-phase Alzheimer’s disease , 2018, Nature Neuroscience.

[7]  J. Rodgers,et al.  Psychology, Science, and Knowledge Construction: Broadening Perspectives from the Replication Crisis , 2018, Annual review of psychology.

[8]  Samuel Frere,et al.  Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse , 2018, Neuron.

[9]  Hiroko H. Dodge,et al.  Version 3 of the Alzheimer Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set (UDS) , 2017, Alzheimer disease and associated disorders.

[10]  Z. Dienes,et al.  Four reasons to prefer Bayesian analyses over significance testing , 2017, Psychonomic bulletin & review.

[11]  J. Boehm,et al.  The Amyloid Precursor Protein Intracellular Domain Is an Effector Molecule of Metaplasticity , 2016, Biological Psychiatry.

[12]  Chong Wang,et al.  A General Method for Robust Bayesian Modeling , 2015, Bayesian Analysis.

[13]  C. Caltagirone,et al.  CSF tau is associated with impaired cortical plasticity, cognitive decline and astrocyte survival only in APOE4-positive Alzheimer’s disease , 2017, Scientific Reports.

[14]  Gilbert Ritschard,et al.  Coefficient-wise tree-based varying coefficient regression with vcrpart , 2017 .

[15]  Paul-Christian Bürkner,et al.  brms: An R Package for Bayesian Multilevel Models Using Stan , 2017 .

[16]  F. Korner‐Nievergelt,et al.  The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research , 2017, PeerJ.

[17]  S. Sajikumar,et al.  Metaplasticity mechanisms restore plasticity and associativity in an animal model of Alzheimer’s disease , 2017, Proceedings of the National Academy of Sciences.

[18]  Alice D. Lam,et al.  Silent Hippocampal Seizures and Spikes Identified by Foramen Ovale Electrodes in Alzheimer’s Disease , 2017, Nature Medicine.

[19]  D. Burke,et al.  Physiological processes influencing motor-evoked potential duration with voluntary contraction. , 2017, Journal of neurophysiology.

[20]  J. Ioannidis,et al.  Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature , 2017, PLoS biology.

[21]  Jiqiang Guo,et al.  Stan: A Probabilistic Programming Language. , 2017, Journal of statistical software.

[22]  Youming Lu,et al.  β-Amyloid triggers aberrant over-scaling of homeostatic synaptic plasticity , 2016, Acta neuropathologica communications.

[23]  Luis Montesano,et al.  Beyond p-values in the evaluation of brain–computer interfaces: A Bayesian estimation approach , 2016, Journal of Neuroscience Methods.

[24]  A. Carvalho,et al.  Mechanisms of homeostatic plasticity in the excitatory synapse , 2016, Journal of neurochemistry.

[25]  Daniel McNeish,et al.  On Using Bayesian Methods to Address Small Sample Problems , 2016 .

[26]  C. Caltagirone,et al.  Long‐term potentiation–like cortical plasticity is disrupted in Alzheimer's disease patients independently from age of onset , 2016, Annals of neurology.

[27]  N. Lazar,et al.  The ASA Statement on p-Values: Context, Process, and Purpose , 2016 .

[28]  P. Wolf,et al.  Neuropsychological Criteria for Mild Cognitive Impairment and Dementia Risk in the Framingham Heart Study , 2016, Journal of the International Neuropsychological Society.

[29]  Vishwanath Sankarasubramanian,et al.  Influence of Corticospinal Tracts from Higher Order Motor Cortices on Recruitment Curve Properties in Stroke , 2016, Front. Neurosci..

[30]  C. Jack,et al.  Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria , 2016, Alzheimer's & Dementia.

[31]  H. J. Chung,et al.  Emerging Link between Alzheimer's Disease and Homeostatic Synaptic Plasticity , 2016, Neural plasticity.

[32]  M. Marcolin,et al.  Normative data of cortical excitability measurements obtained by transcranial magnetic stimulation in healthy subjects , 2016, Neurophysiologie Clinique/Clinical Neurophysiology.

[33]  C. Normann,et al.  No difference in paired associative stimulation induced cortical neuroplasticity between patients with mild cognitive impairment and elderly controls , 2016, Clinical Neurophysiology.

[34]  C. Epstein,et al.  ACNS Guideline: Transcranial Electrical Stimulation Motor Evoked Potential Monitoring. , 2016, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[35]  M. Ridding,et al.  Probing changes in corticospinal excitability following theta burst stimulation of the human primary motor cortex , 2016, Clinical Neurophysiology.

[36]  John P. John,et al.  Assessing Neurocognition via Gamified Experimental Logic: A Novel Approach to Simultaneous Acquisition of Multiple ERPs , 2016, Front. Neurosci..

[37]  F. Pichiorri,et al.  Altered Cortical Synaptic Plasticity in Response to 5-Hz Repetitive Transcranial Magnetic Stimulation as a New Electrophysiological Finding in Amnestic Mild Cognitive Impairment Converting to Alzheimer’s Disease: Results from a 4-year Prospective Cohort Study , 2016, Front. Aging Neurosci..

[38]  Franco Cauda,et al.  Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex , 2014, bioRxiv.

[39]  M. Ridding,et al.  Inter- and intra-subject variability of motor cortex plasticity following continuous theta-burst stimulation , 2015, Neuroscience.

[40]  A. Kirkwood,et al.  Defective Age-Dependent Metaplasticity in a Mouse Model of Alzheimer's Disease , 2015, The Journal of Neuroscience.

[41]  Dennis J. L. G. Schutter,et al.  Efficacy and Time Course of Theta Burst Stimulation in Healthy Humans , 2015, Brain Stimulation.

[42]  Ulf Ziemann,et al.  Metaplasticity in Human Cortex , 2015, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[43]  S. Rossi,et al.  Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee , 2015, Clinical Neurophysiology.

[44]  D. Swaab,et al.  The storm before the quiet: neuronal hyperactivity and Aβ in the presymptomatic stages of Alzheimer's disease , 2015, Neurobiology of Aging.

[45]  J. Krakauer,et al.  The uses and interpretations of the motor-evoked potential for understanding behaviour , 2015, Experimental Brain Research.

[46]  Michael C. Ridding,et al.  Inter-subject Variability of LTD-like Plasticity in Human Motor Cortex: A Matter of Preceding Motor Activation , 2014, Brain Stimulation.

[47]  M. Ridding,et al.  Non-invasive induction of plasticity in the human cortex: Uses and limitations , 2014, Cortex.

[48]  S. Lisanby,et al.  A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials , 2014, Brain Stimulation.

[49]  S. Golaszewski,et al.  Transcranial magnetic stimulation (TMS)/repetitive TMS in mild cognitive impairment and Alzheimer's disease , 2014, Acta neurologica Scandinavica.

[50]  Frank Padberg,et al.  Motor Cortical Excitability Assessed by Transcranial Magnetic Stimulation in Psychiatric Disorders: A Systematic Review , 2014, Brain Stimulation.

[51]  G. Tononi,et al.  Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Memory Consolidation and Integration , 2014, Neuron.

[52]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[53]  D. Salmon,et al.  Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. , 2014, Journal of Alzheimer's disease : JAD.

[54]  Rachael D. Seidler,et al.  A simple solution for model comparison in bold imaging: the special case of reward prediction error and reward outcomes , 2013, Front. Neurosci..

[55]  J. Kruschke Bayesian estimation supersedes the t test. , 2013, Journal of experimental psychology. General.

[56]  Alvaro Pascual-Leone,et al.  Assessing brain plasticity across the lifespan with transcranial magnetic stimulation: why, how, and what is the ultimate goal? , 2013, Front. Neurosci..

[57]  D. Salmon,et al.  The Multilingual Naming Test in Alzheimer's Disease: Clues to the Origin of Naming Impairments , 2013, Journal of the International Neuropsychological Society.

[58]  Eric M Reiman,et al.  Characterizing the preclinical stages of Alzheimer's disease and the prospect of presymptomatic intervention. , 2012, Journal of Alzheimer's disease : JAD.

[59]  U. Ziemann,et al.  Homeostatic metaplasticity of corticospinal excitatory and intracortical inhibitory neural circuits in human motor cortex , 2012, The Journal of physiology.

[60]  A. Oliviero,et al.  I-wave origin and modulation , 2012, Brain Stimulation.

[61]  U. Ziemann,et al.  A practical guide to diagnostic transcranial magnetic stimulation: Report of an IFCN committee , 2012, Clinical Neurophysiology.

[62]  C. Caltagirone,et al.  Impaired LTP- but not LTD-like cortical plasticity in Alzheimer's disease patients. , 2012, Journal of Alzheimer's disease : JAD.

[63]  Meghan B. Mitchell,et al.  A web-based normative calculator for the uniform data set (UDS) neuropsychological test battery , 2011, Alzheimer's Research & Therapy.

[64]  Alvaro Pascual-Leone,et al.  Noninvasive brain stimulation in Alzheimer's disease: Systematic review and perspectives for the future , 2011, Experimental Gerontology.

[65]  John C. Rothwell,et al.  The theoretical model of theta burst form of repetitive transcranial magnetic stimulation , 2011, Clinical Neurophysiology.

[66]  Bruce L. Miller,et al.  Distinct neuroanatomical substrates and cognitive mechanisms of figure copy performance in Alzheimer's disease and behavioral variant frontotemporal dementia , 2011, Neuropsychologia.

[67]  J. Kruschke What to believe: Bayesian methods for data analysis , 2010, Trends in Cognitive Sciences.

[68]  V. Lazzaro,et al.  Physiology of repetitive transcranial magnetic stimulation of the human brain , 2010, Brain Stimulation.

[69]  D. Burke,et al.  Caveats when studying motor cortex excitability and the cortical control of movement using transcranial magnetic stimulation , 2010, Clinical Neurophysiology.

[70]  S. Rossi,et al.  Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research , 2009, Clinical Neurophysiology.

[71]  D. Delis,et al.  Quantification of five neuropsychological approaches to defining mild cognitive impairment. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[72]  U. Ziemann,et al.  Hysteresis effects on the input–output curve of motor evoked potentials , 2009, Clinical Neurophysiology.

[73]  Giacomo Koch,et al.  A common polymorphism in the brain‐derived neurotrophic factor gene (BDNF) modulates human cortical plasticity and the response to rTMS , 2008, The Journal of physiology.

[74]  Daniel Zeller,et al.  Depression of human corticospinal excitability induced by magnetic theta-burst stimulation: evidence of rapid polarity-reversing metaplasticity. , 2008, Cerebral cortex.

[75]  Alfredo Berardelli,et al.  Phasic voluntary movements reverse the aftereffects of subsequent theta-burst stimulation in humans. , 2008, Journal of neurophysiology.

[76]  John C. Rothwell,et al.  State of the art: Pharmacologic effects on cortical excitability measures tested by transcranial magnetic stimulation , 2008, Brain Stimulation.

[77]  J. Rothwell,et al.  Consensus: Motor cortex plasticity protocols , 2008, Brain Stimulation.

[78]  W. Abraham Metaplasticity: tuning synapses and networks for plasticity , 2008, Nature Reviews Neuroscience.

[79]  P. Derambure,et al.  The effects of low- and high-frequency repetitive TMS on the input/output properties of the human corticospinal pathway , 2008, Experimental Brain Research.

[80]  J. Rothwell,et al.  The effect of age on task-related modulation of interhemispheric balance , 2007, Experimental Brain Research.

[81]  Ulf Ziemann,et al.  Homeostatic plasticity in human motor cortex demonstrated by two consecutive sessions of paired associative stimulation , 2007, The European journal of neuroscience.

[82]  Yaakov Stern,et al.  Incidence and Predictors of Seizures in Patients with Alzheimer's Disease , 2006, Epilepsia.

[83]  J. Ioannidis Why Most Published Research Findings Are False , 2005, PLoS medicine.

[84]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[85]  W. Abraham,et al.  Memory retention – the synaptic stability versus plasticity dilemma , 2005, Trends in Neurosciences.

[86]  J. Rothwell,et al.  Theta Burst Stimulation of the Human Motor Cortex , 2005, Neuron.

[87]  P. Dodd,et al.  Glutamate-mediated excitotoxicity and neurodegeneration in Alzheimer’s disease , 2004, Neurochemistry International.

[88]  J. Rothwell,et al.  The physiological basis of transcranial motor cortex stimulation in conscious humans , 2004, Clinical Neurophysiology.

[89]  M. Lynch,et al.  Long-term potentiation and memory. , 2004, Physiological reviews.

[90]  Roger Anwyl,et al.  Synaptic plasticity in animal models of early Alzheimer's disease. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[91]  T. Miles,et al.  Age and sex differences in human motor cortex input–output characteristics , 2003, The Journal of physiology.

[92]  Á. Pascual-Leone,et al.  Modulation of input–output curves by low and high frequency repetitive transcranial magnetic stimulation of the motor cortex , 2002, Clinical Neurophysiology.

[93]  L. Abbott,et al.  Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.

[94]  Niraj S. Desai,et al.  Activity-dependent scaling of quantal amplitude in neocortical neurons , 1998, Nature.

[95]  M. Ridding,et al.  Stimulus/response curves as a method of measuring motor cortical excitability in man. , 1997, Electroencephalography and clinical neurophysiology.

[96]  C. Capaday,et al.  Input-output properties and gain changes in the human corticospinal pathway , 1997, Experimental Brain Research.

[97]  H. Alkadhi,et al.  Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. , 1997, Brain : a journal of neurology.

[98]  M. Bear,et al.  Metaplasticity: the plasticity of synaptic plasticity , 1996, Trends in Neurosciences.

[99]  Y. Sheline,et al.  Memory improvement following induced hyperinsulinemia in alzheimer's disease , 1996, Neurobiology of Aging.

[100]  R. Reitan,et al.  The Halstead-Reitan neuropsychological test battery: Theory and clinical interpretation , 1993 .

[101]  S. G. Carmer,et al.  An Evaluation of Ten Pairwise Multiple Comparison Procedures by Monte Carlo Methods , 1973 .