Electroencephalography-driven brain-network models for personalized interpretation and prediction of neural oscillations
This work bridges theoretical neuroscience and clinical practice, offering a novel framework for understanding and predicting brain network dynamics. The resulting approach paves the way for data-driven insights into brain network mechanisms and the design of personalized neuromodulation therapies.
Authors
- Debora Ledergerber (ORCID: https://orcid.org/0000-0003-2963-3322)
- Marc Serra Garcia
- Lukas Imbach (ORCID: https://orcid.org/0000-0002-6135-8642)
- Rafael Polanía (ORCID: https://orcid.org/0000-0002-6176-6806)
- Tena Dubček (ORCID: https://orcid.org/0000-0003-3636-3201)
- Jana Thomann
- Giovanna Aiello (ORCID: https://orcid.org/0000-0001-5453-8277)
Institutions
- Institute for Atomic and Molecular Physics (NL)
- ETH Zurich (CH)
- Swiss Epilepsy Center (CH)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1016/j.clinph.2025.03.030
- Citations
- 1
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- National Science Foundation
- European Commission
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung