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We used morphometric inverse divergence (MIND) analysis of structural MRI to investigate cortical gray matter morphological networks cross-sectionally and longitudinally after TBI and correlate these with symptoms, disability and cognition six months after injury. Our findings support the Triple Network Model from functional MRI of post-traumatic alterations in the relationship between task-positive, default mode and salience networks. However, the strongest associations between early cortical similarity metrics and long-term patient outcomes involved the dorsal attention network and the limbic network as well as similarity metrics across Mesulam\u2019s hierarchy of laminar differentiation. Since MIND mapping of cortical gray matter networks only requires data that is a routine part of standard clinical MRI protocols and does not need image harmonization across different scanners, this work reports a promising new tool that is immediately available for advancing research and clinical care in TBI.<\/jats:p>","DOI":"10.64898\/2026.05.25.26354074","type":"posted-content","created":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T18:55:12Z","timestamp":1779908112000},"source":"Crossref","is-referenced-by-count":0,"title":["Gray Matter Morphological Networks are Associated with Neurobiological Features, Cognitive Status and Clinical Recovery in Traumatic Brain Injury"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0253-3543","authenticated-orcid":false,"given":"Amir","family":"Sadikov","sequence":"first","affiliation":[{"name":"Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA, 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