Gerald E. York’s research while affiliated with University of Alaska Anchorage and other places

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Publications (44)


Differences in Brain Volume in Military Service Members and Veterans After Blast-Related Mild TBI: A LIMBIC-CENC Study
  • Article

November 2024

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66 Reads

JAMA Network Open

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Importance Blast-related mild traumatic brain injuries (TBIs), the “signature injury” of post-9/11 conflicts, are associated with clinically relevant, long-term cognitive, psychological, and behavioral dysfunction and disability; however, the underlying neural mechanisms remain unclear. Objective To investigate associations between a history of remote blast-related mild TBI and regional brain volume in a sample of US veterans and active duty service members. Design, Setting, and Participants Prospective cohort study of US veterans and active duty service members from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC), which enrolled more than 1500 participants at 5 sites used in this analysis between 2014 and 2023. Participants were recruited from Veterans Affairs medical centers across the US; 774 veterans and active duty service members of the US military met eligibility criteria for this secondary analysis. Assessment dates were from January 6, 2015, to March 31, 2023; processing and analysis dates were from August 1, 2023, to January 15, 2024. Exposure All participants had combat exposure, and 82% had 1 or more lifetime mild TBIs with variable injury mechanisms. Main Outcomes and Measures Regional brain volume was calculated using tensor-based morphometry on 3-dimensional, T1-weighted magnetic resonance imaging scans; history of TBI, including history of blast-related mild TBI, was assessed by structured clinical interview. Cognitive performance and psychiatric symptoms were assessed with a battery of validated instruments. We hypothesized that regional volume would be smaller in the blast-related mild TBI group and that this would be associated with cognitive performance. Results A total of 774 veterans (670 [87%] male; mean [SD] age, 40.1 [9.8] years; 260 [34%] with blast-related TBI) were included in the sample. Individuals with a history of blast-related mild TBI had smaller brain volumes than individuals without a history of blast-related mild TBI (which includes uninjured individuals and those with non–blast-related mild TBI) in several clusters, with the largest centered bilaterally in the superior corona radiata and subcortical gray and white matter (cluster peak Cohen d range, −0.23 to −0.38; mean [SD] Cohen d , 0.28 [0.03]). Additionally, causal mediation analysis revealed that these volume differences significantly mediated the association between blast-related mild TBI and performance on measures of working memory and processing speed. Conclusions and Relevance In this cohort study of 774 veterans and active duty service members, robust volume differences associated with blast-related TBI were identified. Furthermore, these volume differences significantly mediated the association between blast-related mild TBI and cognitive function, indicating that this pattern of brain differences may have implications for daily functioning.


White Matter Hyperintensities and Mild TBI in Post-9/11 Veterans and Service Members

July 2024

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23 Reads

Military Medicine

Introduction The neurobehavioral significance of white matter hyperintensities (WMHs) seen on magnetic resonance imaging after traumatic brain injury (TBI) remains unclear, especially in Veterans and Service Members with a history of mild TBI (mTBI). In this study, we investigate the relation between WMH, mTBI, age, and cognitive performance in a large multisite cohort from the Long-term Impact of Military-relevant Brain Injury Consortium—Chronic Effects of Neurotrauma Consortium. Materials and Methods The neuroimaging and neurobehavioral assessments for 1,011 combat-exposed, post-9/11 Veterans and Service Members (age range 22-69 years), including those with a history of at least 1 mTBI (n = 813; median postinjury interval of 8 years) or negative mTBI history (n = 198), were examined. Results White matter hyperintensities were present in both mTBI and comparison groups at similar rates (39% and 37%, respectively). There was an age-by-diagnostic group interaction, such that older Veterans and Service Members with a history of mTBI demonstrated a significant increase in the number of WMHs present compared to those without a history of mTBI. Additional associations between an increase in the number of WMHs and service-connected disability, insulin-like growth factor-1 levels, and worse performance on tests of episodic memory and executive functioning-processing speed were found. Conclusions Subtle but important clinical relationships are identified when larger samples of mTBI participants are used to examine the relationship between history of head injury and radiological findings. Future studies should use follow-up magnetic resonance imaging and longitudinal neurobehavioral assessments to evaluate the long-term implications of WMHs following mTBI.


Brain volume changes following blast-related mild TBI in service members and veterans: a LIMBIC-CENC study
  • Preprint
  • File available

February 2024

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100 Reads

Importance: Blast-related mild traumatic brain injuries (bTBI), the 'signature injury' of post-9/11 conflicts, are associated with clinically-relevant long-term cognitive, psychological, and behavioral dysfunction and disability; however, the underlying neural mechanisms remain unclear. Objective: To investigate associations between a history of remote bTBI and regional brain volume in a sample of United States (U.S.) Veterans and Active Duty Service Members (VADSM). Design: Prospective case-control study of U.S. VADSM of participants from the Long-term Impact of Military-relevant Brain Injury Consortium - Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC), which enrolled over 1,500 participants at five sites used in this analysis between 2014-2023. Setting: Participants were recruited from Veterans Affairs medical centers across the U.S. Participants: Seven hundred and seventy-four VADSM of the U.S. military met eligibility criteria for this analysis. Exposure: All participants had combat exposure, and 82% had one or more lifetime mild TBIs with variable injury mechanisms. Main Outcomes and Measures: Regional brain volume was calculated using tensor-based morphometry on 3D T1-weighted magnetic resonance imaging scans. TBI history, including history of blast-related injury (bTBI), was assessed by structured clinical interview. Cognitive performance and psychiatric symptoms were assessed with a battery of validated instruments. We hypothesized that regional volume would be smaller in the bTBI group, and that this would be associated with cognitive performance. Results: Individuals with a history of bTBI had smaller brain volumes in several clusters, with the largest centered bilaterally in the superior corona radiata and globus pallidus. Greater volume deficits were associated with a larger number of lifetime bTBIs. Additionally, causal mediation analysis revealed that these volume differences significantly mediated the association between bTBI and performance on measures of working memory and processing speed. Conclusions and Relevance: Our results reveal robust volume differences associated with bTBI. Magnetic resonance elastography atlases reveal that the specific regions affected include the stiffest tissues in the brain, which may underlie their vulnerability to pressure waves from blast exposures. Furthermore, these volume differences significantly mediated the association between bTBI and cognitive function, indicating that this may be a helpful biomarker in tracking outcome after bTBI and suggesting potential treatment targets to prevent or limit chronic dysfunction.

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FIGURE 1. Forrest plots showing the odds ratios for volumetric and diffusion brain measures and various clinical measures associated with TBI.
Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics

February 2024

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52 Reads

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4 Citations

Military Medicine

Introduction MRI represents one of the clinical tools at the forefront of research efforts aimed at identifying diagnostic and prognostic biomarkers following traumatic brain injury (TBI). Both volumetric and diffusion MRI findings in mild TBI (mTBI) are mixed, making the findings difficult to interpret. As such, additional research is needed to continue to elucidate the relationship between the clinical features of mTBI and quantitative MRI measurements. Material and Methods Volumetric and diffusion imaging data in a sample of 976 veterans and service members from the Chronic Effects of Neurotrauma Consortium and now the Long-Term Impact of Military-Relevant Brain Injury Consortium observational study of the late effects of mTBI in combat with and without a history of mTBI were examined. A series of regression models with link functions appropriate for the model outcome were used to evaluate the relationships among imaging measures and clinical features of mTBI. Each model included acquisition site, participant sex, and age as covariates. Separate regression models were fit for each region of interest where said region was a predictor. Results After controlling for multiple comparisons, no significant main effect was noted for comparisons between veterans and service members with and without a history of mTBI. However, blast-related mTBI were associated with volumetric reductions of several subregions of the corpus callosum compared to non–blast-related mTBI. Several volumetric (i.e., hippocampal subfields, etc.) and diffusion (i.e., corona radiata, superior longitudinal fasciculus, etc.) MRI findings were noted to be associated with an increased number of repetitive mTBIs versus. Conclusions In deployment-related mTBI, significant findings in this cohort were only observed when considering mTBI sub-groups (blast mechanism and total number/dose). Simply comparing healthy controls and those with a positive mTBI history is likely an oversimplification that may lead to non-significant findings, even in consortium analyses.


Microstructural Organization of Distributed White Matter Associated With Fine Motor Control in US Service Members With Mild Traumatic Brain Injury

September 2023

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33 Reads

Journal of Neurotrauma

Mild traumatic brain injury (mTBI) is the most common form of brain injury. While most individuals recover from mTBI, roughly 20% experience persistent symptoms, potentially including reduced fine motor control. We investigate relationships between regional white matter organization and subcortical volumes associated with performance on the Grooved Pegboard (GPB) test in a large cohort of military Service Members and Veterans (SM&Vs) with and without a history of mTBI(s). Participants were enrolled in the Long-term Impact of Military-relevant Brain Injury Consortium- Chronic Effects of Neurotrauma Consortium. SM&Vs with a history of mTBI(s) (n=847) and without mTBI (n=190) underwent MRI and the GPB test. We first examined between-group differences in GPB completion time. We then investigated associations between GPB performance and regional structural imaging measures (tractwise diffusivity, subcortical volumes, and cortical thickness) in SM&Vs with a history of mTBI(s). Lastly, we explored whether mTBI history moderated associations between imaging measures and GPB performance. SM&Vs with mTBI(s) performed worse than those without mTBI(s) on the non-dominant hand GPB test at a trend level (p<0.1). Higher FA of tracts including the posterior corona radiata, superior longitudinal fasciculus, and uncinate fasciculus were associated with better GPB performance in the dominant hand in SM&Vs with mTBI(s). These findings support that the organization of several white matter bundles are associated with fine motor performance in SM&Vs. We did not observe that mTBI history moderated associations between regional FA and GPB test completion time, suggesting that chronic mTBI may not significantly influence fine motor control.


Discriminating Mild Traumatic Brain Injury and Posttraumatic Stress Disorder Using Latent Neuroimaging and Neuropsychological Profiles in Active-Duty Military Service Members

January 2023

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72 Reads

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5 Citations

Journal of Head Trauma Rehabilitation

Objective: Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) commonly occur among military Service Members and Veterans and have heterogenous, but also overlapping symptom presentations, which often complicate the diagnoses of underlying impairments and development of effective treatment plans. Thus, we sought to examine whether the combination of whole brain gray matter (GM) and white matter (WM) structural measures with neuropsychological performance can aid in the classification of military personnel with mTBI and PTSD. Methods: Active-Duty US Service Members (n = 156; 87.8% male) with a history of mTBI, PTSD, combined mTBI+PTSD, or orthopedic injury completed a neuropsychological battery and T1- and diffusion-weighted structural neuroimaging. Cortical, subcortical, ventricular, and WM volumes and whole brain fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were calculated. Latent profile analyses were performed to determine how the GM and WM indicators, together with neuropsychological indicators, classified individuals. Results: For both GM and WM, respectively, a 4-profile model was the best fit. The GM model identified greater ventricular volumes in Service Members with cognitive symptoms, including those with a diagnosis of mTBI, either alone or with PTSD. The WM model identified reduced FA and elevated RD in those with psychological symptoms, including those with PTSD or mTBI and comorbid PTSD. However, contrary to expectation, a global neural signature unique to those with comorbid mTBI and PTSD was not identified. Conclusions: The findings demonstrate that neuropsychological performance alone is more robust in differentiating Active-Duty Service Members with mTBI and PTSD, whereas global neuroimaging measures do not reliably differentiate between these groups.


Comparing resting-state connectivity of working memory networks in U.S. Service members with mild traumatic brain injury and posttraumatic stress disorder

December 2022

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43 Reads

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3 Citations

Brain Research

Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) are prevalent among military populations, and both have been associated with working memory (WM) impairments. Previous resting-state functional connectivity (rsFC) research conducted separately in PTSD and mTBI populations suggests that there may be similar and distinct abnormalities in WM-related networks. However, no studies have compared rsFC of WM brain regions in participants with mTBI versus PTSD. We used resting-state fMRI to investigate rsFC of WM networks in U.S. Service Members (n = 127; ages 18–59) with mTBI only (n = 46), PTSD only (n = 24), and an orthopedically injured (OI) control group (n = 57). We conducted voxelwise rsFC analyses with WM brain regions to test for differences in WM network connectivity in mTBI versus PTSD. Results revealed reduced rsFC between ventrolateral prefrontal cortex (vlPFC), lateral premotor cortex, and dorsolateral prefrontal cortex (dlPFC) WM regions and brain regions in the dorsal attention and somatomotor networks in both mTBI and PTSD groups versus controls. When compared to those with mTBI, individuals with PTSD had lower rsFC between both the lateral premotor WM seed region and middle occipital gyrus as well as between the dlPFC WM seed region and paracentral lobule. Interestingly, only vlPFC connectivity was significantly associated with WM performance across the samples. In conclusion, we found primarily overlapping patterns of reduced rsFC in WM brain regions in both mTBI and PTSD groups. Our finding of decreased vlPFC connectivity associated with WM is consistent with previous clinical and neuroimaging studies. Overall, these results provide support for shared neural substrates of WM in individuals with either mTBI or PTSD.


Latent Neuropsychological Profiles to Discriminate Mild Traumatic Brain Injury and Posttraumatic Stress Disorder in Active-Duty Service Members

April 2022

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78 Reads

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5 Citations

Journal of Head Trauma Rehabilitation

Objective: To determine whether cognitive and psychological symptom profiles differentiate clinical diagnostic classifications (eg, history of mild traumatic brain injury [mTBI] and posttraumatic stress disorder [PTSD]) in military personnel. Methods: US Active-Duty Service Members (N = 209, 89% male) with a history of mTBI (n = 56), current PTSD (n = 23), combined mTBI + PTSD (n = 70), or orthopedic injury controls (n = 60) completed a neuropsychological battery assessing cognitive and psychological functioning. Latent profile analysis was performed to determine how neuropsychological outcomes of individuals clustered together. Diagnostic classifications (ie, mTBI, PTSD, mTBI + PTSD, and orthopedic injury controls) within each symptom profile were examined. Results: A 5-profile model had the best fit. The profiles differentiated subgroups with high (34.0%) or normal (21.5%) cognitive and psychological functioning, cognitive symptoms (19.1%), psychological symptoms (15.3%), and combined cognitive and psychological symptoms (10.0%). The symptom profiles differentiated participants as would generally be expected. Participants with PTSD were mainly represented in the psychological symptom subgroup, while orthopedic injury controls were mainly represented in the high-functioning subgroup. Further, approximately 79% of participants with comorbid mTBI and PTSD were represented in a symptomatic group (∼24% = cognitive symptoms, ∼29% = psychological symptoms, and 26% = combined cognitive/psychological symptoms). Our results also showed that approximately 70% of military personnel with a history of mTBI were represented in the high- and normal-functioning groups. Conclusions: These results demonstrate both overlapping and heterogeneous symptom and performance profiles in military personnel with a history of mTBI, PTSD, and/or mTBI + PTSD. The overlapping profiles may underscore why these diagnoses are often difficult to diagnose and treat, but suggest that advanced statistical models may aid in identifying profiles representing symptom and cognitive performance impairments within patient groups and enable identification of more effective treatment targets.


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

February 2022

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205 Reads

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13 Citations

Brain Injury

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.



Citations (28)


... highlights the cumulative and insidious effects of repeated low-level blast exposure on the central nervous system (CNS) [6][7][8][9][10][11]. Chronic exposure to blast waves is associated with transient neurological symptoms as well as enduring structural and functional brain changes, contributing to persistent neuroinflammation, long-term cognitive impairments, and an elevated risk of neurodegenerative conditions [12][13][14][15][16][17][18]. An emerging focus in neurotrauma research is the role of autoantibodies targeting brain-specific proteins-such as glial fibrillary acidic protein (GFAP), myelin basic protein (MBP), and pituitary (PIT) antigens-in the pathophysiology of repetitive head impacts and blast-induced neurotrauma [19][20][21][22][23][24][25][26][27]. ...

Reference:

Circulating Brain-Reactive Autoantibody Profiles in Military Breachers Exposed to Repetitive Occupational Blast
Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics

Military Medicine

... Finally, the Brain Injury WGs will interface with other disease-specific WGs where comorbidity with brain injury is high (e.g., substance use, PTSD, MDD, ADHD), as well as with methods-focused WGs (e.g., diffusion imaging, etc.). A preliminary report on 117 participants with military-relevant blast-related versus 227 participants with non-blast related injury revealed higher FA in veterans and service members with blast-related injuries, and altered subcortical volumes in the group with military TBI overall 117 . Work is ongoing to study the effects of injuries sustained during and outside deployment, and severity and mechanisms of injury. ...

ENIGMA Military Brain Injury: Altered Subcortical Volume in Chronic TBI Revealed by Mega-Analysis (P2.9-061)
  • Citing Article
  • April 2019

Neurology

... Model fitting procedures were performed in MPlus Version 8.6 and were described previously. 22,33 Briefly, a series of LPA models were fit with increasing numbers of profiles until the best-fitting model was identified based on fit indices, including the Akaike information criterion (AIC), Bayesian information criterion (BIC), sample size-adjusted BIC (SABIC), entropy, Lo-Mendell-Rubin likelihood ratio test, bootstrapped likelihood ratio test (BLRT), and interpretability and clinical relevance of the resulting profiles. Postestimation provided information on the proportion of each mTBI group within each profile and was statistically compared with a χ 2 test. ...

Discriminating Mild Traumatic Brain Injury and Posttraumatic Stress Disorder Using Latent Neuroimaging and Neuropsychological Profiles in Active-Duty Military Service Members
  • Citing Article
  • January 2023

Journal of Head Trauma Rehabilitation

... Additionally, other research has demonstrated that veterans with mTBI objectively have lasting functional and cognitive changes that align with executive functioning difficulties seen on cognitive assessments [48][49][50][51]. Furthermore, veterans with PTSD and/or comorbid PTSD and mTBI/TBI have demonstrated executive dysfunction on objective assessments [52][53][54]. Among individuals with an mTBI/TBI history, the most subjectively reported cognitive complaints include memory as well as areas of executive functioning (EF), specifically working memory, inhibition, set shifting, planning and organizing, and task monitoring [46,[55][56][57]. ...

Latent Neuropsychological Profiles to Discriminate Mild Traumatic Brain Injury and Posttraumatic Stress Disorder in Active-Duty Service Members
  • Citing Article
  • April 2022

Journal of Head Trauma Rehabilitation

... 14 Brain age prediction modeling shows that, within the first several years after cmsTBI, there is increased atrophy in gray and white matter equivalent to about half a decade in chronological age in msTBI, [15][16][17][18] and 1-3 years in mild TBI. 2,19,20 The extent to which posttraumatic atrophy may evolve as individuals transition through various stages of life, continuing into senescence for years and even decades, remains to be established. ...

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

Brain Injury

... Based on these criteria, no participants were excluded due to excessive motion. As in previous work [56,60,61], we also calculated average root-mean-squared (RMS) displacement as a summary of participant motion. There were no significant differences in RMS motion based on depression history group (F(2,58) = 0.20, p =.82) and no correlation with depression symptom severity (r = − 0.13, p =.30). ...

Distinct patterns of resting-state connectivity in U.S. service members with mild traumatic brain injury versus posttraumatic stress disorder

Brain Imaging and Behavior

... Деніс та Діснер [27] в 2019 році описали збільшення значень FA в мозолистому тілі та його покриві. ...

Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium

Molecular Psychiatry

... One group that has been successful in receiving grant support is the Post-Traumatic Stress Disorder (PTSD) working group. The PTSD working group has considerable overlap in membership with the Military Brain Injury subgroup and has also published papers on subcortical volume (Logue et al. 2017) and white matter microstructure (Dennis et al. 2019). The ENIGMA Addiction working group has similarly received grant support, and recently published a paper of 3,240 8 individuals examining multiple substances. ...

Altered White Matter Microstructural Organization in Post-Traumatic Stress Disorder across 3,049 Adults: Results from the PGC-ENIGMA PTSD Consortium

... In a survey paper, Martin Cenek et al. explored different medical image processing algorithms for brain tumor analysis and traumatic brain injury diagnoses. They summarized AI frameworks that are built as multi-stage, hybrid, hierarchical information processing workflows that could help medical diagnosis by working as a physician's intelligent decision support system [30]. Monteiro et al. showed the ability of a CNN to segment, quantify, and detect multiclass hemorrhagic lesions and perilesional edema in TBI using CT images for analysis of lesion burden and progression [31]. ...

Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities

... Additionally, we cannot achieve a single image of the entire tissue as it has a limited field of view. Therefore, multiple scanning and longer screening periods affect different regions of the brain and result in images being susceptible to various artifacts, such as motion artifacts, data misinterpretation, fine structure with false information, etc. Besides, the influence of image post-processing techniques on image quality and diagnostic consistency cannot be overlooked with the risk of overinterpretation (Cenek et al. 2018). Furthermore, HR-MRI primarily focuses on anatomical details and does not provide functional information. ...

Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities

Frontiers in Robotics and AI