Resting-state EEG and machine learning to investigate cortical connectivity as a biomarker in chronic mTBI.
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| Title: | Resting-state EEG and machine learning to investigate cortical connectivity as a biomarker in chronic mTBI. |
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| Authors: | Marshall WJ; Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, United States., Conner AN; Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, United States.; Neuroscience Graduate Program, Vanderbilt University, Nashville, TN, United States., Key AP; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States.; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States., Rex TS; Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, United States. |
| Source: | Frontiers in neurology [Front Neurol] 2026 Jan 26; Vol. 16, pp. 1721726. Date of Electronic Publication: 2026 Jan 26 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2295 |
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| DOI: | 10.3389/fneur.2025.1721726 |
