Functional connectivity in whole-brain and network analysis differentiates minimally conscious from unresponsive patients: a resting-state fNIRS study
fNIRS could effectively detect abnormal brain network functional connectivity in DOC patients and could provide valuable insights for differentiating MCS and VS/UWS patients.
Authors
- Bo‐Han Zhu
- Shaoping Wu (ORCID: https://orcid.org/0000-0001-6235-7687)
- Ziying Ye
- Mingyu Yin (ORCID: https://orcid.org/0000-0003-2801-6437)
- Yinan Ai (ORCID: https://orcid.org/0000-0003-2914-6938)
- Aijia Chen
- Nancy Xiaonan Yu (ORCID: https://orcid.org/0000-0002-6371-2684)
- Hao Cai (ORCID: https://orcid.org/0000-0003-2153-9470)
- Xiquan Hu (ORCID: https://orcid.org/0000-0002-5554-6903)
- Haibo Di (ORCID: https://orcid.org/0000-0003-1781-3609)
- Nantu Hu
- Yu Zhang (ORCID: https://orcid.org/0000-0002-9580-3521)
- Liying Zhang (ORCID: https://orcid.org/0000-0003-3991-5075)
- Fang Zheng (ORCID: https://orcid.org/0000-0002-8689-2681)
- Ruiqi Wang (ORCID: https://orcid.org/0000-0001-6996-704X)
Institutions
- Sun Yat-sen University (CN)
- Hangzhou Normal University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12967-025-07181-z
- Citations
- 1
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Sun Yat-sen University
- National Key Research and Development Program of China