Unraveling EEG correlates of unimanual finger movements: insights from non-repetitive flexion and extension tasks
Our findings confirm that non-repetitive finger movements, whether individual or coordinated, can be precisely detected from EEG. However, differentiating between specific movements is challenging due to highly overlapping neural correlates in time, spectral, and spatial domains. Nonetheless, certain finger movements, such as those involving the Thumb, exhibit distinct EEG responses, making them prime candidates for dexterous finger neuroprostheses.
Authors
- Liuyin Yang (ORCID: https://orcid.org/0000-0002-4095-8841)
- Marc M. Van Hulle (ORCID: https://orcid.org/0000-0003-1060-7044)
- E. Calvo (ORCID: https://orcid.org/0000-0002-8782-3856)
- Qiang Sun (ORCID: https://orcid.org/0000-0002-1125-4706)
Institutions
- Neuroelectronics Research Flanders (BE)
- VIB-KU Leuven Center for Brain & Disease Research (BE)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1186/s12984-024-01533-4
- Citations
- 11
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Vlaams Supercomputer Centrum
- KU Leuven
- China Scholarship Council
- Vlaamse regering
- HORIZON EUROPE Framework Programme
- Bijzonder Onderzoeksfonds UGent