High-Fidelity Measures of Whole-Brain Functional Connectivity and White Matter Integrity Mediate Relationships between Traumatic Brain Injury and Post-Traumatic Stress Disorder Symptoms.
High-Fidelity Measures of Whole-Brain Functional Connectivity and White Matter Integrity Mediate Relationships between Traumatic Brain Injury and Post-Traumatic Stress Disorder Symptoms.
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DOI:
10.1089/neu.2017.5428
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发表时间:
2018-03-01
影响因子:
4.2
通讯作者:
Nelson SM
中科院分区:
文献类型:
--
作者:
Gordon EM;Scheibel RS;Zambrano-Vazquez L;Jia-Richards M;May GJ;Meyer EC;Nelson SM
Traumatic brain injury (TBI) disrupts brain communication and increases risk for posttraumatic stress disorder (PTSD). However, mechanisms by which TBI-related disruption of brain communication confers PTSD risk have not been successfully elucidated in humans. This may be in part because functional magnetic resonance imaging (fMRI), the most common technique for measuring functional brain communication, is unreliable for characterizing individual patients. However, this unreliability can be overcome with sufficient within-individual data. Here, we examined whether relationships could be observed between TBI, structural and functional brain connectivity, and PTSD severity by collecting ~3.5 hours of resting-state fMRI and DTI data in each of 26 US military veterans. We observed that a TBI history was associated with decreased whole-brain resting-state functional connectivity (RSFC), while the number of lifetime TBIs was associated with reduced whole-brain fractional anisotropy (FA). Both RSFC and FA explained independent variance in PTSD severity, with RSFC mediating the TBI-PTSD relationship. Finally, we showed that large amounts of per-individual data produced highly reliable RSFC measures, and that relationships between TBI, RSFC/FA, and PTSD could not be observed with typical data quantities. These results demonstrate links between TBI, brain connectivity, and PTSD severity, and illustrate the need for precise characterization of individual patients using high-data fMRI scanning.
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影响因子:
5.7
作者:
Fischl, B;Sereno, MI;Dale, AM
通讯作者:
Dale, AM
DOI:
10.1523/jneurosci.2180-11.2011
发表时间:
2011-08-10
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Glasser MF;Van Essen DC
通讯作者:
Van Essen DC
影响因子:
2.9
作者:
Bharath RD;Munivenkatappa A;Gohel S;Panda R;Saini J;Rajeswaran J;Shukla D;Bhagavatula ID;Biswal BB
通讯作者:
Biswal BB
影响因子:
5.3
作者:
Bonnelle, Valerie;Leech, Robert;Sharp, David J.
通讯作者:
Sharp, David J.
影响因子:
2.4
作者:
Bazarian, Jeffrey J.;Donnelly, Kerry;Zhong, Jianhui
通讯作者:
Zhong, Jianhui