Uncovering relationships in multi-channel EEG data using principal Hessian directions and Ricci flow
Our combined pHd-Ricci flow method expands the existing EEG preprocessing toolkit by offering a systematic framework for extracting meaningful network structure from high-dimensional EEG data. By facilitating more targeted and effective feature selection, our method has the potential to improve EEG signal recovery in real-world applications.
Authors
- Melanie Weber (ORCID: https://orcid.org/0000-0003-1104-7181)
- Benjamin Choi (ORCID: https://orcid.org/0009-0000-0221-422X)
Institutions
- Harvard University Press (US)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-04-14
- DOI
- https://doi.org/10.1088/1741-2552/ae5f4c
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00