{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T00:25:31Z","timestamp":1790900731709,"version":"4.1.0"},"reference-count":44,"publisher":"SAGE Publications","issue":"18","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neurotrauma"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:p>\n                    Mild traumatic brain injury (mTBI) initiating long-term effects on white matter integrity resembles brain-aging changes, implying an aging process accelerated by mTBI. This longitudinal study aims to investigate the mTBI-induced acceleration of the brain-aging process by developing a neuroimaging model to predict brain age. The brain-age prediction model was defined using relevance vector regression based on fractional anisotropy from diffusion tensor imaging of 523 healthy individuals. The model was used to estimate the brain-predicted age difference (brain-PAD) between the chronological and estimated brain age in 116 acute mTBI patients and 63 healthy controls. Fifty patients were followed for 6\u2009\u223c\u200912 months to evaluate the longitudinal changes in brain-PAD. We investigated whether brain-PAD was greater in patients of older age, post-concussion complaints, and apolipoprotein E (APOE) \u025b4 genotype, and whether it had the potential to predict neuropsychological outcomes. The brain-age prediction model predicted brain age accurately (\n                    <jats:italic toggle=\"yes\">r<\/jats:italic>\n                    \u2009=\u20090.96). The brains of mTBI patients in the acute phase were estimated to be \u201colder,\u201d with greater brain-PAD (2.59\u2009\u00b1\u20095.97 years) than the healthy controls (0.12\u2009\u00b1\u20093.19 years) (\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009&lt;\u20090.05), and remained stable 6\u201312 month post-injury (2.50\u2009\u00b1\u20094.54 years). Patients who were older or who had post-concussion complaints, rather than APOE \u025b4 genotype, had greater brain-PADs (\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009&lt;\u20090.001,\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009=\u20090.024). Additionally, brain-PAD in the acute phase predicted information processing speed at the 6\u2009\u223c\u200912 month follow-up (\n                    <jats:italic toggle=\"yes\">r<\/jats:italic>\n                    \u2009=\u2009-0.36,\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009=\u20090.01). In conclusion, mTBI accelerates the brain-aging process, and brain-PAD may be capable of evaluating aging-associated issues post-injury, such as increased risks of neurodegeneration.\n                  <\/jats:p>","DOI":"10.1089\/neu.2020.7551","type":"journal-article","created":{"date-parts":[[2021,4,17]],"date-time":"2021-04-17T00:26:48Z","timestamp":1618619208000},"page":"2549-2559","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":28,"title":["Accelerated Brain Aging in Mild Traumatic Brain Injury: Longitudinal Pattern Recognition with White Matter Integrity"],"prefix":"10.1177","volume":"38","author":[{"given":"Shuoqiu","family":"Gan","sequence":"first","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China."},{"name":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China."},{"name":"Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering &amp; Instrument Science, Zhejiang University, Hangzhou, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Wang","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingxiang","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanghui","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Jia","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanzhu","family":"Sun","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Niu","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuonan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijun","family":"Bai","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,8,23]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(15)00002-2"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcz031"},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2014.2668"},{"key":"e_1_3_5_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S2215-0366(18)30065-8"},{"key":"e_1_3_5_6_2","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms13629"},{"key":"e_1_3_5_7_2","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0786"},{"issue":"21","key":"e_1_3_5_8_2","article-title":"Gray matter age prediction as a biomarker for risk of dementia","volume":"116","author":"Wang J.","year":"2019","unstructured":"Wang J., , Knol M.J., , Tiulpin A., , Dubost F., , de Bruijne M., , Vernooij M.W., , Adams H.H., , Ikram M.A., , Niessen W.J., , and Roshchupkin G.V. 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