Literature DB >> 35125044

Advanced brain age in deployment-related traumatic brain injury: A LIMBIC-CENC neuroimaging study.

Emily L Dennis1,2, Brian A Taylor3, Mary R Newsome4,5, Maya Troyanskaya4,5, Tracy J Abildskov1, Aaron M Betts6,7, Erin D Bigler1,8,9, James Cole10,11, Nicholas Davenport12,13, Timothy Duncan14, Jessica Gill15,16, Vivian Guedes15, Sidney R Hinds17, Elizabeth S Hovenden1, Kimbra Kenney17,18, Mary Jo Pugh19,20, Randall S Scheibel4,5, Pashtun-Poh Shahim1,2, Robert Shih7, William C Walker21,22, J Kent Werner17, Gerald E York23, David X Cifu24, David F Tate1,2, Elisabeth A Wilde1,2,5.   

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.

Entities:  

Keywords:  MRI; TBI; aging; mild brain injury; neuroimaging

Mesh:

Year:  2022        PMID: 35125044      PMCID: PMC9187589          DOI: 10.1080/02699052.2022.2033844

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.167


  74 in total

Review 1.  Traumatic brain injury in the US military: epidemiology and key clinical and research programs.

Authors:  Katherine M Helmick; Cynthia A Spells; Saafan Z Malik; Cathleen A Davies; Donald W Marion; Sidney R Hinds
Journal:  Brain Imaging Behav       Date:  2015-09       Impact factor: 3.978

2.  Investigating systematic bias in brain age estimation with application to post-traumatic stress disorders.

Authors:  Hualou Liang; Fengqing Zhang; Xin Niu
Journal:  Hum Brain Mapp       Date:  2019-03-28       Impact factor: 5.038

Review 3.  Cognitive changes and dementia risk after traumatic brain injury: implications for aging military personnel.

Authors:  Andrea S Vincent; Tresa M Roebuck-Spencer; Alison Cernich
Journal:  Alzheimers Dement       Date:  2014-06       Impact factor: 21.566

4.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

5.  Traumatic brain injury among female veterans: a review of sex differences in military neurosurgery.

Authors:  Lily H Kim; Jennifer L Quon; Felicia W Sun; Kristen M Wortman; Maheen M Adamson; Odette A Harris
Journal:  Neurosurg Focus       Date:  2018-12-01       Impact factor: 4.047

6.  Sex differences in aging of the human frontal and temporal lobes.

Authors:  P E Cowell; B I Turetsky; R C Gur; R I Grossman; D L Shtasel; R E Gur
Journal:  J Neurosci       Date:  1994-08       Impact factor: 6.167

7.  POINT/COUNTER-POINT-Beyond the headlines: the actual evidence that traumatic brain injury is a risk factor for later-in-life dementia.

Authors:  Christian LoBue; C Munro Cullum
Journal:  Arch Clin Neuropsychol       Date:  2020-02-20       Impact factor: 2.813

8.  Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.

Authors:  James H Cole; Rudra P K Poudel; Dimosthenis Tsagkrasoulis; Matthan W A Caan; Claire Steves; Tim D Spector; Giovanni Montana
Journal:  Neuroimage       Date:  2017-07-29       Impact factor: 6.556

9.  Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence.

Authors:  Matthias Guggenmos; Katharina Schmack; Maria Sekutowicz; Maria Garbusow; Miriam Sebold; Christian Sommer; Michael N Smolka; Hans-Ulrich Wittchen; Ulrich S Zimmermann; Andreas Heinz; Philipp Sterzer
Journal:  Transl Psychiatry       Date:  2017-12-11       Impact factor: 6.222

10.  Virtual reality-based treatment for regaining upper extremity function induces cortex grey matter changes in persons with acquired brain injury.

Authors:  Jiří Keller; Ivana Štětkářová; Vince Macri; Simone Kühn; Jakub Pětioký; Stefano Gualeni; С Douglas Simmons; Sajay Arthanat; Paul Zilber
Journal:  J Neuroeng Rehabil       Date:  2020-09-12       Impact factor: 4.262

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