An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation
Mathew Yarossi1,2, Fernando Quivira2, Moritz Dannhauer3
1Mathew Yarossi and Eugene Tunik are with the Department of Physical Therapy, Movement and Rehabilitation Science, Northeastern University, Boston, MA 02115,USA.
Abstract:
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.
