Modeling motor-evoked potentials from neural field simulations of transcranial magnetic stimulation
Date
2021
Authors
Wilson, M.T.
Moezzi, B.
Rogasch, N.C.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Clinical Neurophysiology, 2021; 132(2):412-428
Statement of Responsibility
Marcus T.Wilson, Bahar Moezzi, Nigel C.Rogasch
Conference Name
Abstract
Objective To develop a population-based biophysical model of motor-evoked potentials (MEPs) following transcranial magnetic stimulation (TMS).<h4>Methods</h4>We combined an existing MEP model with population-based cortical modeling. Layer 2/3 excitatory and inhibitory neural populations, modeled with neural-field theory, are stimulated with TMS and feed layer 5 corticospinal neurons, which also couple directly but weakly to the TMS pulse. The layer 5 output controls mean motoneuron responses, which generate a series of single motor-unit action potentials that are summed to estimate a MEP. Results A MEP waveform was generated comparable to those observed experimentally. The model captured TMS phenomena including a sigmoidal input-output curve, common paired pulse effects (short interval intracortical inhibition, intracortical facilitation, long interval intracortical inhibition) including responses to pharmacological interventions, and a cortical silent period. Changes in MEP amplitude following theta burst paradigms were observed including variability in outcome direction. Conclusions The model reproduces effects seen in common TMS paradigms.<h4>Significance</h4>The model allows population-based modeling of changes in cortical dynamics due to TMS protocols to be assessed in terms of changes in MEPs, thus allowing a clear comparison between population-based modeling predictions and typical experimental outcome measures.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.