Older age, male sex, and cerebral microbleeds predict white matter loss after traumatic brain injury

Robles, David; Dharani, Ammar; Rostowsky, Kenneth A.; Chaudhari, Nikhil; Ngo, Van; Zhang, Fan; O’Donnell, Lauren J.; Green, Lauren; Sheikh‐Bahaei, Nasim; Chui, Helena C.; Irimia, Andrei

doi:10.1007/s11357-021-00459-2

Cited by 14 publications

(5 citation statements)

References 54 publications

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“…We also observed that the typical magnitude of FC changes in males is larger than in females ( Figure 9 and Supplementary Figure 1 ). For these reasons, we highlight male sex as an independent risk factor for functional network degradation after mTBI, in agreement with previous work ( Gupte et al, 2019 ; Robles et al, 2021 ). Tables 5 – 11 provide systematic interpretations for each result, cluster by cluster.…”

Section: Discussionsupporting

confidence: 92%

Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex

Amgalan

Maher

Imms

et al. 2022

Front. Aging Neurosci.

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Neural and cognitive deficits after mild traumatic brain injury (mTBI) are paralleled by changes in resting state functional correlation (FC) networks that mirror post-traumatic pathophysiology effects on functional outcomes. Using functional magnetic resonance images acquired both acutely and chronically after injury (∼1 week and ∼6 months post-injury, respectively), we map post-traumatic FC changes across 136 participants aged 19–79 (52 females), both within and between the brain’s seven canonical FC networks: default mode, dorsal attention, frontoparietal, limbic, somatomotor, ventral attention, and visual. Significant sex-dependent FC changes are identified between (A) visual and limbic, and between (B) default mode and somatomotor networks. These changes are significantly associated with specific functional recovery patterns across all cognitive domains (p < 0.05, corrected). Changes in FC between default mode, somatomotor, and ventral attention networks, on the one hand, and both temporal and occipital regions, on the other hand, differ significantly by age group (p < 0.05, corrected), and are paralleled by significant sex differences in cognitive recovery independently of age at injury (p < 0.05, corrected). Whereas females’ networks typically feature both significant (p < 0.036, corrected) and insignificant FC changes, males more often exhibit significant FC decreases between networks (e.g., between dorsal attention and limbic, visual and limbic, default-mode and somatomotor networks, p < 0.0001, corrected), all such changes being accompanied by significantly weaker recovery of cognitive function in males, particularly older ones (p < 0.05, corrected). No significant FC changes were found across 35 healthy controls aged 66–92 (20 females). Thus, male sex and older age at injury are risk factors for significant FC alterations whose patterns underlie post-traumatic cognitive deficits. This is the first study to map, systematically, how mTBI impacts FC between major human functional networks.

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Section: Discussionsupporting

confidence: 92%

Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex

Amgalan

Maher

Imms

et al. 2022

Front. Aging Neurosci.

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“…We recommend the inclusion of a susceptibility weighted imaging (SWI) scan as part of fMRI acquisition protocols, because T2*-weighted signal drop-out is produced by ferritin and/or hemosiderin accumulation during acute hemorrhage and/or chronic bleeds should be considered as additional factors that can alter the BOLD signal. Lesion boundaries can be difficult to delineate on typical T1- or T2*-weighted scans, but the synergy of SWI as part of a standard fMRI acquisition protocol for TBI patients with rsfMRI protocols can be helpful for lesion delineation ( Robles et al, 2022 ). Because the intensity profile of SWIs is very different from that of fMRI scans, these should not be coregistered directly.…”

Section: Part 2: Recommendationsmentioning

confidence: 99%

ENIGMA’s simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury

Caeyenberghs,

Imms,

Irimia

et al. 2024

NeuroImage: Clinical

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“…This method is significantly improved compared to previous automated fiber tracking methods, which can only extract the main fiber tracts, failing to cover the entire brain's white matter (i.e., including the cerebellum and superficial tracts). In addition, it was successfully applied in several recent studies [85][86][87][88][89][90][91][92][93][94], demonstrating high test-retest reproducibility [95] and robustness to anatomical variability [96].…”

Section: Wm Fiber Clusteringmentioning

confidence: 99%

Sleep Quality Disturbances Are Associated with White Matter Alterations in Veterans with Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury

Rojczyk

Seitz-Holland

Kaufmann

et al. 2023

JCM

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Sleep disturbances are strongly associated with mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). PTSD and mTBI have been linked to alterations in white matter (WM) microstructure, but whether poor sleep quality has a compounding effect on WM remains largely unknown. We evaluated sleep and diffusion magnetic resonance imaging (dMRI) data from 180 male post-9/11 veterans diagnosed with (1) PTSD (n = 38), (2) mTBI (n = 25), (3) comorbid PTSD+mTBI (n = 94), and (4) a control group with neither PTSD nor mTBI (n = 23). We compared sleep quality (Pittsburgh Sleep Quality Index, PSQI) between groups using ANCOVAs and calculated regression and mediation models to assess associations between PTSD, mTBI, sleep quality, and WM. Veterans with PTSD and comorbid PTSD+mTBI reported poorer sleep quality than those with mTBI or no history of PTSD or mTBI (p = 0.012 to <0.001). Poor sleep quality was associated with abnormal WM microstructure in veterans with comorbid PTSD+mTBI (p < 0.001). Most importantly, poor sleep quality fully mediated the association between greater PTSD symptom severity and impaired WM microstructure (p < 0.001). Our findings highlight the significant impact of sleep disturbances on brain health in veterans with PTSD+mTBI, calling for sleep-targeted interventions.

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Older age, male sex, and cerebral microbleeds predict white matter loss after traumatic brain injury

Cited by 14 publications

References 54 publications

Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex

Functional Connectome Dynamics After Mild Traumatic Brain Injury According to Age and Sex

ENIGMA’s simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury

Sleep Quality Disturbances Are Associated with White Matter Alterations in Veterans with Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury

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