Leveraging neural drive to assess hand motor function in individuals with chronic stroke
This study demonstrates that HD-EMG can capture detailed motor unit activity and neural control characteristics across multiple forearm muscles in individuals with chronic stroke. By integrating multiple HD-EMG features, this approach provides new insights into neuromuscular alterations linked to hand motor function after stroke. These findings support the use of HD-EMG for monitoring recovery, predicting outcomes, and guiding more targeted rehabilitation, thus advancing both stroke research and patient care.
Authors
- José L. Pons (ORCID: https://orcid.org/0000-0003-0265-0181)
- David A. Friedenberg (ORCID: https://orcid.org/0000-0002-4404-8941)
- Nicholas Tacca (ORCID: https://orcid.org/0000-0002-7594-6840)
- Jackson T. Levine (ORCID: https://orcid.org/0000-0002-1597-0136)
- Austin Bollinger (ORCID: https://orcid.org/0009-0009-6651-3013)
- Mary K. Heimann (ORCID: https://orcid.org/0009-0001-9267-375X)
- Eric Meyers (ORCID: https://orcid.org/0000-0002-2013-5450)
- Lauren Wengerd (ORCID: https://orcid.org/0000-0001-9235-8824)
- Samuel C. Colachis (ORCID: https://orcid.org/0000-0002-7131-8206)
- Michael Darrow (ORCID: https://orcid.org/0000-0001-7798-1837)
- Collin Dunlap (ORCID: https://orcid.org/0009-0000-8789-8607)
- Ian W. Baumgart (ORCID: https://orcid.org/0000-0001-9743-2181)
- Sedona R Cady (ORCID: https://orcid.org/0000-0001-9596-0677)
- Philip Putnam
- Bryan R. Schlink
Institutions
- Northwestern University (US)
- Texas Biomedical Research Institute (US)
- Shirley Ryan AbilityLab (US)
- Battelle (US)
- The University of Texas at Dallas (US)
- Sierra BioMedical (United States) (US)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1186/s12984-025-01806-6
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Battelle