Dynamic reconstruction of electroencephalogram data using RBF neural networks
These findings suggest that fixed-point coordinates of RBF networks can serve as quantitative markers aging providing new insights into age-dependent changes in brain dynamics. The proposed method offers computationally efficient and interpretable approach for EEG analysis with potential applications in neurological diagnosis and cognitive research.
Authors
- Xuebin Ke (ORCID: https://orcid.org/0000-0002-7274-3482)
- Congcong Du
- Xuan Wang (ORCID: https://orcid.org/0000-0002-3512-0649)
- Jian Zhang (ORCID: https://orcid.org/0000-0001-5418-0455)
- Ya Jie Yue
- Ming Yu (ORCID: https://orcid.org/0000-0003-0106-5810)
- Zheng Zheng (ORCID: https://orcid.org/0009-0004-9660-1739)
Institutions
- Jiangsu University (CN)
- Beijing Normal University (CN)
- Affiliated Hospital of Jiangsu University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3389/fnins.2025.1557763
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43