학술논문
Age‐dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury
Document Type
article
Author
Bouchard, Heather C; Sun, Delin; Dennis, Emily L; Newsome, Mary R; Disner, Seth G; Elman, Jeremy; Silva, Annelise; Velez, Carmen; Irimia, Andrei; Davenport, Nicholas D; Sponheim, Scott R; Franz, Carol E; Kremen, William S; Coleman, Michael J; Williams, M Wright; Geuze, Elbert; Koerte, Inga K; Shenton, Martha E; Adamson, Maheen M; Coimbra, Raul; Grant, Gerald; Shutter, Lori; George, Mark S; Zafonte, Ross D; McAllister, Thomas W; Stein, Murray B; Thompson, Paul M; Wilde, Elisabeth A; Tate, David F; Sotiras, Aristeidis; Morey, Rajendra A
Source
Human Brain Mapping. 43(8)
Subject
Language
Abstract
Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age-related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non-negative matrix factorization (NMF) is a data-driven approach that detects covarying patterns (components) within high-dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self-reported TBI history. NMF identified 12 independent components derived from fractional anisotropy (FA) in a large dataset (n = 1,475) gathered through the ENIGMA (Enhancing Neuroimaging Genetics through Meta-Analysis) Military Brain Injury working group. Regressions were used to examine TBI- and mTBI-related associations in NMF-derived components while adjusting for age, sex, post-traumatic stress disorder, depression, and data acquisition site/scanner. We found significantly stronger age-dependent effects of lower FA in Veterans with TBI than Veterans without in four components (q