Pilot investigation of a novel white matter imaging technique in Veterans with and without history of mild traumatic brain injury

Brain Injury ◽  
2018 ◽  
Vol 32 (10) ◽  
pp. 1255-1264 ◽  
Author(s):  
Sarah M. Jurick ◽  
Samantha N. Hoffman ◽  
Scott Sorg ◽  
Amber V. Keller ◽  
Nicole D. Evangelista ◽  
...  
Author(s):  
Scott F. Sorg ◽  
Victoria C. Merritt ◽  
Alexandra L. Clark ◽  
Madeleine L. Werhane ◽  
Kelsey A. Holiday ◽  
...  

Abstract Objective: We examined whether intraindividual variability (IIV) across tests of executive functions (EF-IIV) is elevated in Veterans with a history of mild traumatic brain injury (mTBI) relative to military controls (MCs) without a history of mTBI. We also explored relationships among EF-IIV, white matter microstructure, and posttraumatic stress disorder (PTSD) symptoms. Method: A total of 77 Veterans (mTBI = 43, MCs = 34) completed neuropsychological testing, diffusion tensor imaging (DTI), and PTSD symptom ratings. EF-IIV was calculated as the standard deviation across six tests of EF, along with an EF-Mean composite. DSI Studio connectometry analysis identified white matter tracts significantly associated with EF-IIV according to generalized fractional anisotropy (GFA). Results: After adjusting for EF-Mean and PTSD symptoms, the mTBI group showed significantly higher EF-IIV than MCs. Groups did not differ on EF-Mean after adjusting for PTSD symptoms. Across groups, PTSD symptoms significantly negatively correlated with EF-Mean, but not with EF-IIV. EF-IIV significantly negatively correlated with GFA in multiple white matter pathways connecting frontal and more posterior regions. Conclusions: Veterans with mTBI demonstrated significantly greater IIV across EF tests compared to MCs, even after adjusting for mean group differences on those measures as well as PTSD severity. Findings suggest that, in contrast to analyses that explore effects of mean performance across tests, discrepancy analyses may capture unique variance in neuropsychological performance and more sensitively capture cognitive disruption in Veterans with mTBI histories. Importantly, findings show that EF-IIV is negatively associated with the microstructure of white matter pathways interconnecting cortical regions that mediate executive function and attentional processes.


2017 ◽  
Vol 11 (1) ◽  
pp. 46-57 ◽  
Author(s):  
Michael N. Dretsch ◽  
Rael T. Lange ◽  
Jeffery S. Katz ◽  
Adam Goodman ◽  
Thomas A. Daniel ◽  
...  

Background:There is a high comorbidity of posttraumatic stress (PTS) and mild traumatic brain injury (mTBI), with largely overlapping symptomatology, in military service members.Objective:To examine white matter integrity associated with PTS and mTBI as assessed using diffusion tensor imaging (DTI).Method:Seventy-four active-duty U.S. soldiers with PTS (n = 16) and PTS with co-morbid history of mTBI (PTS/mTBI; n = 28) were compared to a military control group (n = 30). Participants received a battery of neurocognitive and clinical symptom measures. The number of abnormal DTI values was determined (>2 SDs from the mean of the control group) for fractional anisotropy (FA) and mean diffusivity (MD), and then compared between groups. In addition, mean DTI values from white matter tracts falling into three categories were compared between groups: (i) projection tracts: superior, middle, and inferior cerebellar peduncles, pontine crossing tract, and corticospinal tract; (ii) association tracts: superior longitudinal fasciculus; and (iii) commissure tracts: cingulum bundle (cingulum-cingulate gyrus and cingulum-hippocampus), and corpus callosum.Results:The comorbid PTS/mTBI group had significantly greater traumatic stress, depression, anxiety, and post-concussive symptoms, and they performed worse on neurocognitive testing than those with PTS alone and controls. The groups differed greatly on several clinical variables, but contrary to what we hypothesized, they did not differ greatly on primary and exploratory analytic approaches of hetero-spatial whole brain DTI analyses.Conclusion:The findings suggest that psychological health conditions rather than pathoanatomical changes may be contributing to symptom presentation in this population.


Brain Injury ◽  
2016 ◽  
Vol 30 (12) ◽  
pp. 1491-1500 ◽  
Author(s):  
Nicholas D. Davenport ◽  
Greg J. Lamberty ◽  
Nathaniel W. Nelson ◽  
Kelvin O. Lim ◽  
Michael T. Armstrong ◽  
...  

2015 ◽  
Vol 32 (22) ◽  
pp. 1796-1804 ◽  
Author(s):  
Max J. Hilz ◽  
Felix Aurnhammer ◽  
Steven R. Flanagan ◽  
Tassanai Intravooth ◽  
Ruihao Wang ◽  
...  

Brain Injury ◽  
2016 ◽  
Vol 30 (12) ◽  
pp. 1501-1514 ◽  
Author(s):  
Ramtilak Gattu ◽  
Faith W. Akin ◽  
Anthony T. Cacace ◽  
Courtney D. Hall ◽  
Owen D. Murnane ◽  
...  

Brain ◽  
2014 ◽  
Vol 137 (7) ◽  
pp. 1876-1882 ◽  
Author(s):  
Tero Ilvesmäki ◽  
Teemu M. Luoto ◽  
Ullamari Hakulinen ◽  
Antti Brander ◽  
Pertti Ryymin ◽  
...  

2017 ◽  
Vol 34 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Juan J. Herrera ◽  
Kurt Bockhorst ◽  
Shakuntala Kondraganti ◽  
Laura Stertz ◽  
João Quevedo ◽  
...  

2021 ◽  
Author(s):  
Paulo Branco ◽  
Noam Bosak ◽  
Jannis Bielefeld ◽  
Olivia Cong ◽  
Yelena Granovsky ◽  
...  

Mild traumatic brain injury, mTBI, is a leading cause of disability worldwide, with acute pain manifesting as one of its most debilitating symptoms. Understanding acute post-injury pain is important since it is a strong predictor of long-term outcomes. In this study, we imaged the brains of 172 patients with mTBI, following a motorized vehicle collision and used a machine learning approach to extract white matter structural and resting state fMRI functional connectivity measures to predict acute pain. Stronger white matter tracts within the sensorimotor, thalamic-cortical, and default-mode systems predicted 20% of the variance in pain severity within 72 hours of the injury. This result generalized in two independent groups: 39 mTBI patients and 13 mTBI patients without whiplash symptoms. White matter measures collected at 6-months after the collision still predicted mTBI pain at that timepoint (n = 36). These white-matter connections were associated with two nociceptive psychophysical outcomes tested at a remote body site – namely conditioned pain modulation and magnitude of suprathreshold pain–, and with pain sensitivity questionnaire scores. Our validated findings demonstrate a stable white-matter network, the properties of which determine a significant amount of pain experienced after acute injury, pinpointing a circuitry engaged in the transformation and amplification of nociceptive inputs to pain perception.


Sign in / Sign up

Export Citation Format

Share Document