Assessment of residual awareness in patients with disorders of consciousness using functional near-infrared spectroscopy–based connectivity: a pilot study
The resting state functional connectivity and graph theory analysis based on fNIRS has the potential to enhance the classification accuracy, providing valuable insights into the diagnosis of patients with DOC.
Authors
- Yunteng He (ORCID: https://orcid.org/0000-0001-9947-8933)
- Juanning Si (ORCID: https://orcid.org/0000-0002-3464-7190)
- Yi Yang (ORCID: https://orcid.org/0000-0002-5808-0109)
- Xiaosong Wang (ORCID: https://orcid.org/0000-0002-2663-8331)
- Yong Wang (ORCID: https://orcid.org/0000-0002-0979-8835)
- Dongsheng Liu (ORCID: https://orcid.org/0000-0002-2583-818X)
- Hao Peng (ORCID: https://orcid.org/0000-0001-7422-630X)
- Shaoya Yin
- Nan Wang (ORCID: https://orcid.org/0009-0001-3237-5339)
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Beijing Tian Tan Hospital (CN)
- Tianjin Huanhu Hospital (CN)
- Chinese Institute for Brain Research (CN)
- Zero to Three (US)
- Aviation General Hospital (CN)
- Tianjin Medical University (CN)
- Beijing Information Science & Technology University (CN)
Publication Details
- Journal
- Neurophotonics
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1117/1.nph.11.4.045013
- Citations
- 7
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- Beijing Information Science and Technology University
- Alliance of International Science Organizations