MSRLNet: A Multi-Source Fusion and Feedback Network for EEG Feature Recognition in ADHD
MSRLNet shows high accuracy and robustness in ADHD EEG feature recognition, verifying its potential application value in clinical auxiliary diagnosis.
Authors
- Jian Zhao (ORCID: https://orcid.org/0000-0003-3265-6461)
- Ze Song (ORCID: https://orcid.org/0000-0001-7837-6639)
- Zhejun Kuang (ORCID: https://orcid.org/0000-0001-5632-7596)
- Hua Ye (ORCID: https://orcid.org/0000-0002-7568-7658)
- Yan Sun (ORCID: https://orcid.org/0000-0002-2017-2411)
- Qiulei Han
- Lijuan Shi (ORCID: https://orcid.org/0000-0002-4593-4451)
Institutions
- Changchun University of Science and Technology (CN)
- Health Commission of Jilin Province (CN)
- Changchun University (CN)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3390/brainsci15111132
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00