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This study investigated the relative strength of connectivity from thalamic subregions following mTBI and subsequently studied the associations between these metrics and cognitive performance. The final analyzed dataset included 39 mTBI patients and 28 trauma control (TC) patients aged 18\u201360 years, who were recruited following hospital admission for physical injury. Participants completed a magnetic resonance imaging (MRI) protocol including both structural MRI and multishell diffusion-weighted MRI sequences at 6\u201312 weeks (mean = 57 days, standard deviation = 11) post-injury. Thalamic segmentations were combined with cortical and subcortical parcellations to define nodes of each participant\u2019s structural connectivity network. Connectivity matrices were generated by mapping streamline reconstruction onto the 179 parcels. Nodal edge strength, representing the weighted connections of thalamic subregion edges, was calculated. Participants also completed a range of cognitive tests examining processing speed, attention, memory, and executive functions. The two groups were comparable with respect to thalamic subregion edge strength and performance on cognitive tests. These primary findings suggest that nodal structural connectivity of the thalamus is normal at this time point following injury. Moderation analysis revealed several interactions between group and edge strength predicting cognitive performance, namely, increased edge strength generally predicted better cognitive performance in the TC group, but worse performance in the mTBI group. These preliminary findings require further validation, although they raise the question as to whether sustaining an mTBI results in a change in the relationship between thalamic structure and cognitive function 6\u201312 weeks after injury.<\/jats:p>","DOI":"10.1177\/08977151251407626","type":"journal-article","created":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T20:16:26Z","timestamp":1767989786000},"page":"882-894","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Thalamic Structural Connectivity and Cognitive Outcome in the Subacute Period Following Mild Traumatic Brain Injury"],"prefix":"10.1177","volume":"43","author":[{"given":"Maggie E.","family":"Baird","sequence":"first","affiliation":[{"name":"Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia."},{"name":"Developmental Imaging, Clinical Sciences, Murdoch Children\u2019s Research Institute, Parkville, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph Yuan-Mou","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Neuroscience Advanced Clinical Imaging Service (NACIS), The Royal Children\u2019s Hospital, Melbourne, Australia."},{"name":"Neuroscience Research, Murdoch Children\u2019s Research Institute, Parkville, Australia."},{"name":"Department of Pediatrics, The University of Melbourne, Parkville, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc L.","family":"Seal","sequence":"additional","affiliation":[{"name":"Developmental Imaging, Clinical Sciences, Murdoch Children\u2019s Research Institute, Parkville, Australia."},{"name":"Department of Pediatrics, The University of Melbourne, Parkville, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Beare","sequence":"additional","affiliation":[{"name":"Developmental Imaging, Clinical Sciences, Murdoch Children\u2019s Research Institute, Parkville, Australia."},{"name":"National Centre for Healthy Ageing and Peninsula Clinical School, Monash University, Melbourne, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline F.I.","family":"Anderson","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia."},{"name":"Psychology Department, The Alfred Hospital, Prahran, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,1,9]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/16501960410023732"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.spen.2019.03.004"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/medicina60030380"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1037\/neu0000037"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/13854046.2011.565076"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.3109\/02699052.2014.892379"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apmr.2017.03.019"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01197"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2017.11.008"},{"key":"e_1_3_3_11_2","volume-title":"StatPearls","author":"George K","year":"2021","unstructured":"George K, , Das JM. 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