Electrical spinal cord stimulation promotes focal sensorimotor activation that accelerates brain–computer interface skill learning

H Hussein Alawieh (Chandra Family Department of Electrical and Computer Engineering) D Deland Liu (Chandra Family Department of Electrical and Computer Engineering) J Jonathan Madera (Walker Department of Mechanical Engineering) S Satyam Kumar (Chandra Family Department of Electrical and Computer Engineering) F Frigyes Samuel Racz (Department of Neurology) A Ann Majewicz Fey (Walker Department of Mechanical Engineering) J José del R. Millán (Chandra Family Department of Electrical and Computer Engineering)

Abstract

Injuries affecting the central nervous system may disrupt neural pathways to muscles causing motor deficits. Yet the brain exhibits sensorimotor rhythms (SMRs) during movement intents, and brain–computer interfaces (BCIs) can decode SMRs to control assistive devices and promote functional recovery. However, noninvasive BCIs suffer from the instability of SMRs, requiring longitudinal training for users to learn proper SMR modulation. Here, we accelerate this skill learning process by applying cervical transcutaneous electrical spinal stimulation (TESS) to inhibit the motor cortex prior to longitudinal upper-limb BCI training. Results support a mechanistic role for cortical inhibition in significantly increasing focality and strength of SMRs leading to accelerated BCI control in healthy subjects and an individual with spinal cord injury. Improvements were observed following only two TESS sessions and were maintained for at least one week in users who could not otherwise achieve control. Our findings provide promising possibilities for advancing BCI-based motor rehabilitation.

Article Details

Volume / Issue Vol. 122, Issue 24
Published June 17, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

H

Hussein Alawieh

Chandra Family Department of Electrical and Computer Engineering

D

Deland Liu

Chandra Family Department of Electrical and Computer Engineering

J

Jonathan Madera

Walker Department of Mechanical Engineering

S

Satyam Kumar

Chandra Family Department of Electrical and Computer Engineering

F

Frigyes Samuel Racz

Department of Neurology

A

Ann Majewicz Fey

Walker Department of Mechanical Engineering

J

José del R. Millán

Chandra Family Department of Electrical and Computer Engineering