An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex


Conference Paper

© 2019 IEEE. Current knowledge of coordinated motor control of multiple muscles is derived primarily from invasive stimulation-recording techniques in animal models. Similar studies are not generally feasible in humans, so a modeling framework is needed to facilitate knowledge transfer from animal studies. We describe such a framework that uses a deep neural network model to map finite element simulation of transcranial magnetic stimulation induced electric fields (E-fields) in motor cortex to recordings of multi-muscle activation. Critically, we show that model generalization is improved when we incorporate empirically derived physiological models for E-field to neuron firing rate and low-dimensional control via muscle synergies.

Full Text

Duke Authors

Cited Authors

  • Yarossi, M; Quivira, F; Dannhauer, M; Sommer, MA; Brooks, DH; Erdoǧmuş, D; Tunik, E

Published Date

  • May 16, 2019

Published In

Volume / Issue

  • 2019-March /

Start / End Page

  • 1122 - 1125

Electronic International Standard Serial Number (EISSN)

  • 1948-3554

International Standard Serial Number (ISSN)

  • 1948-3546

International Standard Book Number 13 (ISBN-13)

  • 9781538679210

Digital Object Identifier (DOI)

  • 10.1109/NER.2019.8717159

Citation Source

  • Scopus