The Perioperative Neurocognitive Disorder Prediction Based on AI-Assisted EEG Dynamic Features in Anesthetized Mice
: This study identifies emergence-related EEG features associated with postoperative neurocognitive vulnerability in aged mice and provides an exploratory machine learning framework for preclinical risk stratification. These findings support further mechanistic investigation and warrant future validation in human perioperative EEG datasets.
Authors
- Rui Zhou (ORCID: https://orcid.org/0000-0002-1479-4409)
- Enduo Feng (ORCID: https://orcid.org/0000-0002-0786-0893)
- Zhouxiang Li (ORCID: https://orcid.org/0000-0001-5448-9268)
- Hanxi Wan (ORCID: https://orcid.org/0009-0001-5591-4972)
- Mengfan He (ORCID: https://orcid.org/0000-0002-2866-9887)
- Xinwei Huang (ORCID: https://orcid.org/0000-0002-8568-6261)
- Guangchao Zhao (ORCID: https://orcid.org/0000-0001-7842-3773)
- Xinyang Li (ORCID: https://orcid.org/0000-0001-6547-3050)
- Qingyuan Miao (ORCID: https://orcid.org/0009-0006-0231-104X)
- Zhi Tao
- Yuxin Zhang
- Lize Xiong (ORCID: https://orcid.org/0000-0002-9204-8129)
- Qianqian Wu
- Yinggang Zheng
- Hui Wang
- Qian Zhang
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Xijing Hospital (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3390/diagnostics16081186
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China