Machine learning approaches to predict whether MEPs can be elicited via TMS.

Journal: Journal of neuroscience methods
PMID: 39127350

Abstract

BACKGROUND: Transcranial magnetic stimulation (TMS) is a valuable technique for assessing the function of the motor cortex and cortico-muscular pathways. TMS activates the motoneurons in the cortex, which after transmission along cortico-muscular pathways can be measured as motor-evoked potentials (MEPs). The position and orientation of the TMS coil and the intensity used to deliver a TMS pulse are considered central TMS setup parameters influencing the presence/absence of MEPs.

Authors

  • Fang Jin
    Department of Statistics, The George Washington University, USA.
  • Sjoerd M Bruijn
    Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Andreas Daffertshofer
    Institute for Brain and Behavior Amsterdam & Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, van der Boechorststraat 9, 1081BT, Amsterdam, The Netherlands. Electronic address: a.daffertshofer@vu.nl.

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