Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design
Despite the presence of unique activities that were not reported in previous iBCI studies with intact brain functions, it is possible to decode motor intents from the neural signals collected from a subcortical stroke-affected brain.
Authors
- Christopher K. Thompson (ORCID: https://orcid.org/0000-0002-3177-6042)
- Nabila Shawki
- Mijail D. Serruya (ORCID: https://orcid.org/0000-0002-9534-2892)
- John P. Donoghue (ORCID: https://orcid.org/0000-0002-9394-6940)
- Carlos E. Vargas-Irwin (ORCID: https://orcid.org/0000-0002-3526-3754)
- Alessandro Napoli (ORCID: https://orcid.org/0000-0002-4061-3747)
Institutions
- Allen Institute for Brain Science (US)
- Thomas Jefferson University (US)
- Providence College (US)
- Brown University (US)
- Temple University (US)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3389/fnhum.2025.1544397
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00