Resting-state EEG and machine learning to investigate cortical connectivity as a biomarker in chronic mTBI
The persistence of network alterations years after injury suggests lasting changes in brain activity associated with chronic symptom burden. These findings support the use of RS-EEG-derived FC as a noninvasive and scalable biomarker of chronic mTBI.
Authors
- Amy N. Conner (ORCID: https://orcid.org/0000-0001-9860-4539)
- Alexandra P. Key (ORCID: https://orcid.org/0000-0002-2669-8334)
- William J. Marshall (ORCID: https://orcid.org/0009-0006-0886-8287)
- Tonia S. Rex
Institutions
- Emory University (US)
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-26
- DOI
- https://doi.org/10.3389/fneur.2025.1721726
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Defense
- Research to Prevent Blindness
- Vanderbilt University
- Centre d'Imagerie BioMédicale
- National Institutes of Health
- Vanderbilt Vision Research Center, Vanderbilt University
- National Eye Institute