Distinct neural modes carry information about grasp force and phase in the sensorimotor cortex

Restoring dexterous hand function after injury remains a major challenge, partly due to an incomplete understanding of the cortical dynamics underlying grasping and force control. In this study, we investigated neural activity within the motor and somatosensory cortices of individuals with tetraplegia attempting to perform grasps to different target forces with varying temporal profiles. We identified distinct neural modes modulated during specific phases of grasp that encode force information throughout the task. These findings suggest that brain-computer interfaces could leverage these native neural modes to restore grasping and force modulation.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-03
DOI
https://doi.org/10.64898/2026.02.01.702680
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Distinct neural modes carry information about grasp force and phase in the sensorimotor cortex

Jennifer L. Collinger, Gary H. Blumenthal, Michael L. Boninger, Aaron P. Batista et al.
bioRxiv (Cold Spring Harbor Laboratory)
EEG and Brain-Computer Interfaces
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Distinct neural modes carry information about grasp force and phase in the sensorimotor cortex

Jennifer L. Collinger, Gary H. Blumenthal, Michael L. Boninger, Aaron P. Batista, Robert A. Gaunt, Steven M. Chase, Brian M Dekleva, Camille Gontier, Jorge A González-Martínez, Lee E Miller, Isabel C Gonzalez, Anton R Sobinov, Byron M Yu
article en

Abstract

Restoring dexterous hand function after injury remains a major challenge, partly due to an incomplete understanding of the cortical dynamics underlying grasping and force control. In this study, we investigated neural activity within the motor and somatosensory cortices of individuals with tetraplegia attempting to perform grasps to different target forces with varying temporal profiles. We identified distinct neural modes modulated during specific phases of grasp that encode force information throughout the task. These findings suggest that brain-computer interfaces could leverage these native neural modes to restore grasping and force modulation.

bioRxiv (Cold Spring Harbor Laboratory)
Northwestern University (US), University of Pittsburgh (US), University of Illinois Chicago (US), University of Chicago (US), Center for the Neural Basis of Cognition (US), University of Pittsburgh Medical Center (US), Université de Strasbourg (FR), Carnegie Mellon University (US)
National Institutes of Health
Openalex Percentile: Top 69%
EEG and Brain-Computer Interfaces
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