Binary Classification of Consciousness Using Cerebral Blood Flow and EEG Features
Combining EEG and CBF metrics, particularly low-frequency oscillations in perfusion fluctuations, enhances classification of consciousness in critically ill patients and may support future bedside tools for real-time neurovascular monitoring and in decision making about treatment and rehabilitation.
Authors
- Irfaan A. Dar
- Ulaş Sunar (ORCID: https://orcid.org/0000-0002-0623-7522)
- Brandon Foreman (ORCID: https://orcid.org/0000-0002-5418-674X)
- Farzad Azizi Zade (ORCID: https://orcid.org/0009-0007-6510-8919)
Institutions
- Stony Brook University (US)
- University of Cincinnati (US)
Publication Details
- Journal
- medRxiv
- Published
- 2025-12-11
- DOI
- https://doi.org/10.64898/2025.12.09.25341792
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering