Quantitative EEG analysis related to coma and prognosis in acute severe cerebral infarction
This study delineates distinctive EEG signatures characterizing severe cerebral infarction, establishing non-ipsilesional occipital qEEG parameters as pivotal biomarkers for both consciousness evaluation and outcome prediction. These objective electrophysiological markers not only differentiate LHI from BSI through network-level neural reorganization patterns, but also demonstrate clinical applicability. The findings provide empirical support for qEEG integration into neurocritical care for acute stroke with impaired consciousness.
Authors
- Shirui Wen (ORCID: https://orcid.org/0000-0003-2082-3146)
- Xiaobo Zhang (ORCID: https://orcid.org/0000-0003-4606-212X)
- Sha Huang (ORCID: https://orcid.org/0000-0001-9107-1354)
- Li Feng
- Pengyu Li (ORCID: https://orcid.org/0000-0003-2030-1807)
Institutions
- Central South University (CN)
- The First People's Hospital of Changde (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s40001-025-03191-1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China