A normative model–based assessment framework for large-scale, multi-site EEG data
In conclusion, we proposed a normative model-based framework that harmonizes large‑scale, multi‑site EEG data, enabling efficient and reliable attention assessment while demonstrating promise for broader EEG‑based applications.
Authors
- Cheng Luo (ORCID: https://orcid.org/0000-0003-0524-5886)
- Diankun Gong (ORCID: https://orcid.org/0000-0001-5598-3778)
- Xiaoyu Xiong
- Qiwei Dong
- Dong Li (ORCID: https://orcid.org/0000-0003-0391-7060)
- Pengyu Liu (ORCID: https://orcid.org/0000-0002-7198-4102)
- Yuxi Zhou (ORCID: https://orcid.org/0000-0002-3700-1897)
- Jianfu Li (ORCID: https://orcid.org/0009-0004-9378-8462)
- Dezhong Yao
Institutions
- University of Electronic Science and Technology of China (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Brain Research Bulletin
- Published
- 2025-09-13
- DOI
- https://doi.org/10.1016/j.brainresbull.2025.111546
- Citations
- 1
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21