{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T00:25:27Z","timestamp":1790900727086,"version":"4.1.0"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2023,3,5]],"date-time":"2023-03-05T00:00:00Z","timestamp":1677974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 NS 100973"],"award-info":[{"award-number":["R01 NS 100973"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["W81XWH-18-1-0413"],"award-info":[{"award-number":["W81XWH-18-1-0413"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hanson-Thorell Family Research Scholarship"},{"DOI":"10.13039\/100007333","name":"Alzheimer's Disease Neuroimaging Initiative","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007333","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000957","name":"Alzheimer's Association","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000957","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002565","name":"Alzheimer's Drug Discovery Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002565","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015324","name":"Janssen Alzheimer Immunotherapy Research And Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015324","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014489","name":"Johnson and Johnson Pharmaceutical Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014489","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Neurotrack Technologies"},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["U01 NS1365885"],"award-info":[{"award-number":["U01 NS1365885"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Brain regions\u2019 rates of age-related volumetric change after traumatic brain injury (TBI) are unknown. Here, we quantify these rates cross-sectionally in 113 persons with recent mild TBI (mTBI), whom we compare against 3 418 healthy controls (HCs). Regional gray matter (GM) volumes were extracted from magnetic resonance images. Linear regression yielded regional brain ages and the annualized average rates of regional GM volume loss. These results were compared across groups after accounting for sex and intracranial volume. In HCs, the steepest rates of volume loss were recorded in the nucleus accumbens, amygdala, and lateral orbital sulcus. In mTBI, approximately 80% of GM structures had significantly steeper rates of annual volume loss than in HCs. The largest group differences involved the short gyri of the insula and both the long gyrus and central sulcus of the insula. No significant sex differences were found in the mTBI group, regional brain ages being the oldest in prefrontal and temporal structures. Thus, mTBI involves significantly steeper regional GM loss rates than in HCs, reflecting older-than-expected regional brain ages.<\/jats:p>","DOI":"10.1093\/gerona\/glad079","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T05:19:53Z","timestamp":1678166393000},"page":"1328-1338","source":"Crossref","is-referenced-by-count":19,"title":["Significant Acceleration of Regional Brain Aging and Atrophy After Mild Traumatic Brain Injury"],"prefix":"10.1093","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4140-6085","authenticated-orcid":false,"given":"Alexander F","family":"Shida","sequence":"first","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roy J","family":"Massett","sequence":"additional","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phoebe","family":"Imms","sequence":"additional","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramanand V","family":"Vegesna","sequence":"additional","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anar","family":"Amgalan","sequence":"additional","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9254-9388","authenticated-orcid":false,"given":"Andrei","family":"Irimia","sequence":"additional","affiliation":[{"name":"Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California , Los Angeles, California , USA"},{"name":"Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California , Los Angeles, California , USA"},{"name":"Department of Quantitative & Computational Biology, Dana and David Dornsife College of Arts & Sciences, University of Southern California , Los Angeles, California , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,3,5]]},"reference":[{"issue":"6","key":"2024030508184458900_CIT0001","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.neubiorev.2006.07.001","article-title":"Differential aging of the brain: patterns, cognitive correlates and modifiers","volume":"30","author":"Raz","year":"2006","journal-title":"Neurosci Biobehav Rev"},{"issue":"5","key":"2024030508184458900_CIT0002","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1038\/mp.2017.62","article-title":"Brain age predicts mortality","volume":"23","author":"Cole","year":"2018","journal-title":"Mol Psychiatry."},{"issue":"8","key":"2024030508184458900_CIT0003","doi-asserted-by":"crossref","first-page":"2332","DOI":"10.1002\/hbm.25368","article-title":"Brain age prediction: a comparison between machine learning models using region-and voxel-based morphometric data","volume":"42","author":"Baecker","year":"2021","journal-title":"Hum Brain Mapp."},{"issue":"12","key":"2024030508184458900_CIT0004","doi-asserted-by":"crossref","first-page":"3400","DOI":"10.1109\/TMI.2021.3085948","article-title":"Brain age estimation from MRI using cascade networks with ranking loss","volume":"40","author":"Cheng","year":"2021","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"2024030508184458900_CIT0005","doi-asserted-by":"crossref","first-page":"613","DOI":"10.3233\/JAD-215380","article-title":"Brain age difference at baseline predicts clinical dementia rating change in approximately two years","volume":"86","author":"Tseng","year":"2022","journal-title":"J Alzheimers Dis"},{"issue":"1","key":"2024030508184458900_CIT0006","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13195-021-00900-w","article-title":"Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer\u2019s disease dementia: a systematic review","volume":"13","author":"Grueso","year":"2021","journal-title":"Alzheimers Res Ther"},{"issue":"4","key":"2024030508184458900_CIT0007","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1109\/JBHI.2021.3083187","article-title":"Predicting brain age using machine learning algorithms: a comprehensive evaluation","volume":"26","author":"Beheshti","year":"2021","journal-title":"IEEE J Biomed Health Inf."},{"issue":"5","key":"2024030508184458900_CIT0008","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1080\/02699052.2022.2033844","article-title":"Advanced brain age in deployment-related traumatic brain injury: a LIMBIC-CENC neuroimaging study","volume":"36","author":"Dennis","year":"2022","journal-title":"Brain Inj."},{"issue":"3","key":"2024030508184458900_CIT0009","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1007\/s12035-014-8752-3","article-title":"Interactions of oxidative stress and neurovascular inflammation in the pathogenesis of traumatic brain injury","volume":"51","author":"Abdul-Muneer","year":"2015","journal-title":"Mol Neurobiol."},{"issue":"9","key":"2024030508184458900_CIT0010","first-page":"1509","article-title":"Brain atrophy in mild or moderate traumatic brain injury: a longitudinal quantitative analysis","volume":"23","author":"MacKenzie","year":"2002","journal-title":"Am J Neuroradiol"},{"issue":"1","key":"2024030508184458900_CIT0011","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.bandc.2013.06.007","article-title":"Regional cortical volume and cognitive functioning following traumatic brain injury","volume":"83","author":"Spitz","year":"2013","journal-title":"Brain Cogn."},{"issue":"22","key":"2024030508184458900_CIT0012","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1212\/WNL.0b013e3181a82634","article-title":"Longitudinal pattern of regional brain volume change differentiates normal aging from MCI","volume":"72","author":"Driscoll","year":"2009","journal-title":"Neurology."},{"key":"2024030508184458900_CIT0013","doi-asserted-by":"crossref","first-page":"878","DOI":"10.3389\/fneur.2018.00878","article-title":"Preliminary evidence of sex differences in cortical thickness following acute mild traumatic brain injury","volume":"9","author":"Shao","year":"2018","journal-title":"Front Neurol."},{"issue":"7872","key":"2024030508184458900_CIT0014","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/S0140-6736(74)91639-0","article-title":"Assessment of coma and impaired consciousness: a practical scale","volume":"304","author":"Teasdale","year":"1974","journal-title":"Lancet"},{"issue":"4","key":"2024030508184458900_CIT0015","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1007\/s11357-021-00355-9","article-title":"Acute cognitive impairment after traumatic brain injury predicts the occurrence of brain atrophy patterns similar to those observed in Alzheimer\u2019s disease","volume":"43","author":"Rostowsky","year":"2021","journal-title":"GeroScience"},{"key":"2024030508184458900_CIT0016","doi-asserted-by":"crossref","first-page":"573","DOI":"10.3389\/fnins.2018.00573","article-title":"Detection and distinction of mild brain injury effects in a ferret model using diffusion tensor MRI (DTI) and DTI-driven tensor-based morphometry (D-TBM)","volume":"12","author":"Hutchinson","year":"2018","journal-title":"Front Neurosci."},{"issue":"6","key":"2024030508184458900_CIT0017","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1093\/ageing\/afl095","article-title":"Telephone assessment of cognitive function in adulthood: the Brief Test of Adult Cognition by Telephone","volume":"35","author":"Tun","year":"2006","journal-title":"Age Ageing."},{"issue":"4","key":"2024030508184458900_CIT0018","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1177\/1073191113508807","article-title":"Monitoring cognitive functioning: psychometric properties of the brief test of adult cognition by telephone","volume":"21","author":"Lachman","year":"2014","journal-title":"Assessment"},{"issue":"9","key":"2024030508184458900_CIT0019","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1038\/nn.4361","article-title":"The human connectome project\u2019s neuroimaging approach","volume":"19","author":"Glasser","year":"2016","journal-title":"Nat Neurosci."},{"issue":"1","key":"2024030508184458900_CIT0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-020-15948-9","article-title":"The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions","volume":"11","author":"Littlejohns","year":"2020","journal-title":"Nat Commun."},{"issue":"3","key":"2024030508184458900_CIT0021","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1212\/WNL.0b013e3181cb3e25","article-title":"Alzheimer\u2019s disease neuroimaging initiative (ADNI): clinical characterization","volume":"74","author":"Petersen","year":"2010","journal-title":"Neurology."},{"issue":"22","key":"2024030508184458900_CIT0022","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1089\/neu.2013.2970","article-title":"Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury","volume":"30","author":"Yue","year":"2013","journal-title":"J Neurotrauma."},{"issue":"2","key":"2024030508184458900_CIT0023","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis: I. Segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"Neuroimage."},{"issue":"2","key":"2024030508184458900_CIT0024","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1006\/nimg.1998.0396","article-title":"Cortical surface-based analysis: II: inflation, flattening, and a surface-based coordinate system","volume":"9","author":"Fischl","year":"1999","journal-title":"Neuroimage."},{"issue":"2","key":"2024030508184458900_CIT0025","doi-asserted-by":"crossref","first-page":"1340","DOI":"10.1016\/j.neuroimage.2012.01.107","article-title":"Circular representation of human cortical networks for subject and population-level connectomic visualization","volume":"60","author":"Irimia","year":"2012","journal-title":"Neuroimage."},{"issue":"9","key":"2024030508184458900_CIT0026","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1089\/neu.2008.0566","article-title":"Focal lesions in acute mild traumatic brain injury and neurocognitive outcome: CT versus 3T MRI","volume":"25","author":"Lee","year":"2008","journal-title":"J Neurotrauma."},{"issue":"5","key":"2024030508184458900_CIT0027","first-page":"1261","article-title":"Statistical methods for comparing regression coefficients between models","volume":"100","author":"Clogg","year":"1995","journal-title":"AJS."},{"issue":"1","key":"2024030508184458900_CIT0028","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J R Stat Soc Series B (Methodol)"},{"issue":"4","key":"2024030508184458900_CIT0029","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1007\/s11682-014-9321-0","article-title":"Statistical estimation of physiological brain age as a descriptor of senescence rate during adulthood","volume":"9","author":"Irimia","year":"2015","journal-title":"Brain Imag Behav"},{"key":"2024030508184458900_CIT0030","doi-asserted-by":"crossref","first-page":"615754","DOI":"10.3389\/fpsyt.2021.615754","article-title":"Correlation constraints for regression models: controlling bias in brain age prediction","volume":"12","author":"Treder","year":"2021","journal-title":"Front Psychiatry."},{"key":"2024030508184458900_CIT0031","doi-asserted-by":"crossref","first-page":"102063","DOI":"10.1016\/j.nicl.2019.102063","article-title":"Bias-adjustment in neuroimaging-based brain age frameworks: a robust scheme","volume":"24","author":"Beheshti","year":"2019","journal-title":"NeuroImage: Clin"},{"issue":"4","key":"2024030508184458900_CIT0032","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1002\/ana.24367","article-title":"Prediction of brain age suggests accelerated atrophy after traumatic brain injury","volume":"77","author":"Cole","year":"2015","journal-title":"Ann Neurol."},{"key":"2024030508184458900_CIT0033","article-title":"Regional neuroanatomic effects on brain age inferred using magnetic resonance imaging and ridge regression","author":"Massett","year":"2022","journal-title":"J Gerontol A Biol Sci Med Sci"},{"key":"2024030508184458900_CIT0034","doi-asserted-by":"crossref","first-page":"198","DOI":"10.3389\/fneur.2019.00198","article-title":"Cognitive impairment following acute mild traumatic brain injury","volume":"10","author":"de Freitas Cardoso","year":"2019","journal-title":"Front Neurol."},{"key":"2024030508184458900_CIT0035","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.cortex.2021.08.011","article-title":"Global hippocampal and selective thalamic nuclei atrophy differentiate chronic TBI from non-TBI","volume":"145","author":"Sandry","year":"2021","journal-title":"Cortex."},{"issue":"1","key":"2024030508184458900_CIT0036","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1097\/WAD.0b013e318299d3d6","article-title":"Cortical and subcortical atrophy in Alzheimer disease: parallel atrophy of thalamus and hippocampus","volume":"28","author":"\u0160tep\u00e1n-Buksakowska","year":"2014","journal-title":"Alzheimer Dis Assoc Disord"},{"issue":"3","key":"2024030508184458900_CIT0037","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1007\/s11682-015-9424-2","article-title":"Hyper-connectivity of the thalamus during early stages following mild traumatic brain injury","volume":"9","author":"Sours","year":"2015","journal-title":"Brain Imag Behav"},{"issue":"2","key":"2024030508184458900_CIT0038","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1111\/ene.13205","article-title":"Progression of subcortical atrophy in mild Parkinson\u2019s disease and its impact on cognition","volume":"24","author":"Foo","year":"2017","journal-title":"Eur J Neurol."},{"issue":"17","key":"2024030508184458900_CIT0039","doi-asserted-by":"crossref","first-page":"e2398","DOI":"10.1212\/WNL.0000000000010825","article-title":"The subcortical basis of outcome and cognitive impairment in TBI: a longitudinal cohort study","volume":"95","author":"Lutkenhoff","year":"2020","journal-title":"Neurology."},{"issue":"13","key":"2024030508184458900_CIT0040","first-page":"52925292","article-title":"Alzheimer\u2019s disease after mild traumatic brain injury","volume":"14","author":"Imms","year":"2022","journal-title":"(Albany US)."},{"issue":"6","key":"2024030508184458900_CIT0041","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1038\/nn1471","article-title":"Dopaminergic modulation of limbic and cortical drive of nucleus accumbens in goal-directed behavior","volume":"8","author":"Goto","year":"2005","journal-title":"Nat Neurosci."},{"issue":"5","key":"2024030508184458900_CIT0042","doi-asserted-by":"crossref","first-page":"2618","DOI":"10.3390\/ijms23052618","article-title":"More than addiction: the nucleus accumbens contribution to development of mental disorders and neurodegenerative diseases","volume":"23","author":"Bayassi-Jakowicka","year":"2022","journal-title":"Int J Mol Sci ."},{"issue":"6","key":"2024030508184458900_CIT0043","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1159\/000106651","article-title":"Amygdala-hippocampal atrophy and memory performance in dementia of Alzheimer type","volume":"8","author":"Heun","year":"1997","journal-title":"Dement Geriatr Cogn Disord."},{"issue":"1","key":"2024030508184458900_CIT0044","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.pscychresns.2011.06.014","article-title":"Amygdala atrophy is prominent in early Alzheimer\u2019s disease and relates to symptom severity","volume":"194","author":"Poulin","year":"2011","journal-title":"Psychiatry Res Neuroimag"},{"key":"2024030508184458900_CIT0045","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1016\/j.nicl.2018.03.027","article-title":"Reduced amygdala volumes are related to motor and cognitive signs in Huntington\u2019s disease: the IMAGE-HD study","volume":"18","author":"Ahveninen","year":"2018","journal-title":"NeuroImage"},{"issue":"3 Suppl","key":"2024030508184458900_CIT0046","first-page":"S242","article-title":"Military-related traumatic brain injury and neurodegeneration","volume":"10","author":"McKee","year":"2014","journal-title":"Alzheimers Dement"},{"issue":"1","key":"2024030508184458900_CIT0047","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1101\/lm.024018.111","article-title":"Working memory, long-term memory, and medial temporal lobe function","volume":"19","author":"Jeneson","year":"2012","journal-title":"Learn Mem"},{"issue":"1","key":"2024030508184458900_CIT0048","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.neuropsychologia.2008.08.010","article-title":"Material-specific lateralization of working memory in the medial temporal lobe","volume":"47","author":"Wagner","year":"2009","journal-title":"Neuropsychologia."},{"issue":"7","key":"2024030508184458900_CIT0049","doi-asserted-by":"crossref","first-page":"754","DOI":"10.2174\/15672050113109990146","article-title":"Impaired functional connectivity of the thalamus in Alzheimer\u2019s disease and mild cognitive impairment: a resting-state fMRI study","volume":"10","author":"Zhou","year":"2013","journal-title":"Curr Alzheimer Res."},{"issue":"7","key":"2024030508184458900_CIT0050","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1113\/EP089419","article-title":"Association between cortical thickness and distinct vascular cognitive impairment and dementia in patients with white matter lesions","volume":"106","author":"Liu","year":"2021","journal-title":"Exp Physiol."},{"issue":"1","key":"2024030508184458900_CIT0051","first-page":"1","article-title":"Glucose metabolism in the right middle temporal gyrus could be a potential biomarker for subjective cognitive decline: a study of a Han population","volume":"13","author":"Dong","year":"2021","journal-title":"Alzheimer\u2019 Res Ther"},{"issue":"12","key":"2024030508184458900_CIT0052","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1007\/s00787-020-01651-z","article-title":"Emotional intelligence mediates the association between middle temporal gyrus gray matter volume and social anxiety in late adolescence","volume":"30","author":"Wang","year":"2021","journal-title":"Eur Child Adolesc Psychiatry"},{"key":"2024030508184458900_CIT0053","first-page":"665","article-title":"A longitudinal voxel-based morphometry study of GM atrophy progression","volume-title":"Information Technology and Computer Application Engineering","author":"Tseng","year":"2013"},{"key":"2024030508184458900_CIT0054","doi-asserted-by":"crossref","first-page":"602501","DOI":"10.3389\/fnins.2020.602501","article-title":"White matter atrophy in type 2 diabetes mellitus patients with mild cognitive impairment","volume":"14","author":"Li","year":"2021","journal-title":"Front Neurosci."},{"key":"2024030508184458900_CIT0055","doi-asserted-by":"crossref","first-page":"530","DOI":"10.3389\/fneur.2017.00530","article-title":"Traumatic brain injury severity, neuropathophysiology, and clinical outcome: insights from multimodal neuroimaging","volume":"8","author":"Irimia","year":"2017","journal-title":"Front Neurol."},{"issue":"3","key":"2024030508184458900_CIT0056","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1007\/s11682-017-9743-6","article-title":"Clinical relevance of microhemorrhagic lesions in subacute mild traumatic brain injury","volume":"12","author":"Van der Horn","year":"2018","journal-title":"Brain Imag Behav"},{"issue":"2","key":"2024030508184458900_CIT0057","doi-asserted-by":"crossref","first-page":"e2214634120","DOI":"10.1073\/pnas.2214634120","article-title":"Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment","volume":"120","author":"Yin","year":"2023","journal-title":"Proc Natl Acad Sci USA."},{"issue":"1","key":"2024030508184458900_CIT0058","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1038\/nrn1809","article-title":"Neural plasticity in the ageing brain","volume":"7","author":"Burke","year":"2006","journal-title":"Nat Rev Neurosci."},{"issue":"1","key":"2024030508184458900_CIT0059","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1007\/s00429-017-1505-0","article-title":"Brain cortical characteristics of lifetime cognitive ageing","volume":"223","author":"Cox","year":"2018","journal-title":"Brain Struct Funct."},{"issue":"11","key":"2024030508184458900_CIT0060","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1001\/archneurol.2010.149","article-title":"Regionally selective atrophy after traumatic axonal injury","volume":"67","author":"Warner","year":"2010","journal-title":"Arch Neurol."},{"issue":"5","key":"2024030508184458900_CIT0061","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1080\/02699052.2017.1283537","article-title":"Longitudinal changes in brain morphology from 4 weeks to 12 months after mild traumatic brain injury: associations with cognitive functions and clinical variables","volume":"31","author":"Hellstr\u00f8m","year":"2017","journal-title":"Brain Inj."},{"issue":"12","key":"2024030508184458900_CIT0062","doi-asserted-by":"crossref","first-page":"e2410","DOI":"10.1002\/brb3.2410","article-title":"Longitudinal changes in brain parenchyma due to mild traumatic brain injury during the first year after injury","volume":"11","author":"Muller","year":"2021","journal-title":"Brain Behav"}],"container-title":["The Journals of Gerontology: Series A"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/biomedgerontology\/advance-article-pdf\/doi\/10.1093\/gerona\/glad079\/50463716\/glad079.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/biomedgerontology\/article-pdf\/78\/8\/1328\/51024504\/glad079.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/biomedgerontology\/article-pdf\/78\/8\/1328\/51024504\/glad079.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T19:16:52Z","timestamp":1729019812000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/biomedgerontology\/article\/78\/8\/1328\/7069862"}},"subtitle":[],"editor":[{"given":"David","family":"Le Couteur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2023,3,5]]},"references-count":62,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,8,2]]}},"URL":"https:\/\/doi.org\/10.1093\/gerona\/glad079","relation":{},"ISSN":["1079-5006","1758-535X"],"issn-type":[{"value":"1079-5006","type":"print"},{"value":"1758-535X","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,8,1]]},"published":{"date-parts":[[2023,3,5]]}}}