Dennis, EL;
Taylor, BA;
Newsome, MR;
Troyanskaya, M;
Abildskov, TJ;
Betts, AM;
Bigler, ED;
... Wilde, EA; + view all
(2022)
Advanced brain age in deployment-related traumatic brain injury: A LIMBIC-CENC neuroimaging study.
Brain Injury
, 36
(5)
pp. 662-672.
10.1080/02699052.2022.2033844.
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Abstract
Objective: To determine if history of mild traumatic brain injury (mTBI) is associated with advanced or accelerated brain aging among the United States (US) military Service Members and Veterans. / Methods: Eight hundred and twenty-two participants (mean age = 40.4 years, 714 male/108 female) underwent MRI sessions at eight sites across the US. Two hundred and one participants completed a follow-up scan between five months and four years later. Predicted brain ages were calculated using T1-weighted MRIs and then compared with chronological ages to generate an Age Deviation Score for cross-sectional analyses and an Interval Deviation Score for longitudinal analyses. Participants also completed a neuropsychological battery, including measures of both cognitive functioning and psychological health. / Result: In cross-sectional analyses, males with a history of deployment-related mTBI showed advanced brain age compared to those without (t(884) = 2.1, p = .038), while this association was not significant in females. In follow-up analyses of the male participants, severity of posttraumatic stress disorder (PTSD), depression symptoms, and alcohol misuse were also associated with advanced brain age. / Conclusion: History of deployment-related mTBI, severity of PTSD and depression symptoms, and alcohol misuse are associated with advanced brain aging in male US military Service Members and Veterans.
| Type: | Article |
|---|---|
| Title: | Advanced brain age in deployment-related traumatic brain injury: A LIMBIC-CENC neuroimaging study |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/02699052.2022.2033844 |
| Publisher version: | https://doi.org/10.1080/02699052.2022.2033844 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | MRI, TBI, aging, mild brain injury, neuroimaging |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10144592 |
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