Motor imagery-based brain-computer interface for differential diagnosis in prolonged disorders of consciousness
The findings suggest that MI-BCI classification accuracy and attention indices may serve as auxiliary discriminators between UWS and MCS patients, with MCS patients demonstrating superior responsiveness to MI-BCI training.
Authors
- Haochong Wang
- Linghui Dong (ORCID: https://orcid.org/0000-0003-0282-2975)
- Xiaoyang Kang (ORCID: https://orcid.org/0000-0003-4372-9531)
- Jianghong He (ORCID: https://orcid.org/0000-0001-9470-9966)
- Qianqian Ge (ORCID: https://orcid.org/0000-0003-4749-6210)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-0206-9066)
- Ping Liu (ORCID: https://orcid.org/0000-0002-2899-3732)
- Jiao Li (ORCID: https://orcid.org/0000-0002-1996-004X)
- Shuai Han (ORCID: https://orcid.org/0000-0001-8364-6285)
Institutions
- Capital Medical University (CN)
- China Rehabilitation Research Center (CN)
- Beijing Tian Tan Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3389/fnhum.2025.1695730
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China