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创伤性脑损伤后创伤后应激障碍相关的与部署获得性创伤性脑损伤后的小世界网络拓扑结构增加。

Increased Small-World Network Topology Following Deployment-Acquired Traumatic Brain Injury Associated with the Development of Post-Traumatic Stress Disorder.

机构信息

1 Research and Academic Affairs Service Line, W.G. "Bill" Hefner VA Medical Center , Salisbury, North Carolina.

2 Mid Atlantic Mental Illness Research Education and Clinical Center , Durham, North Carolina.

出版信息

Brain Connect. 2018 May;8(4):205-211. doi: 10.1089/brain.2017.0556. Epub 2018 Apr 20.

DOI:10.1089/brain.2017.0556
PMID:29634322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5946732/
Abstract

Cross-sectional and longitudinal studies in active duty and veteran cohorts have both demonstrated that deployment-acquired traumatic brain injury (TBI) is an independent risk factor for developing post-traumatic stress disorder (PTSD), beyond confounds such as combat exposure, physical injury, predeployment TBI, and pre-deployment psychiatric symptoms. This study investigated how resting-state brain networks differ between individuals who developed PTSD and those who did not following deployment-acquired TBI. Participants included postdeployment veterans with deployment-acquired TBI history both with and without current PTSD diagnosis. Graph metrics, including small-worldness, clustering coefficient, and modularity, were calculated from individually constructed whole-brain networks based on 5-min eyes-open resting-state magnetoencephalography (MEG) recordings. Analyses were adjusted for age and premorbid IQ. Results demonstrated that participants with current PTSD displayed higher levels of small-worldness, F(1,12) = 5.364, p < 0.039, partial eta squared = 0.309, and Cohen's d = 0.972, and clustering coefficient, F(1, 12) = 12.204, p < 0.004, partial eta squared = 0.504, and Cohen's d = 0.905, than participants without current PTSD. There were no between-group differences in modularity or the number of modules present. These findings are consistent with a hyperconnectivity hypothesis of the effect of TBI history on functional networks rather than a disconnection hypothesis, demonstrating increased levels of clustering coefficient rather than a decrease as might be expected; however, these results do not account for potential changes in brain structure. These results demonstrate the potential pathological sequelae of changes in functional brain networks following deployment-acquired TBI and represent potential neurobiological changes associated with deployment-acquired TBI that may increase the risk of subsequently developing PTSD.

摘要

横断面和纵向研究表明,现役和退伍军人队列中的部署性创伤性脑损伤(TBI)是导致创伤后应激障碍(PTSD)的独立风险因素,除了战斗暴露、身体损伤、部署前 TBI 和部署前精神症状等混杂因素外。这项研究调查了在经历过部署性 TBI 后出现 PTSD 和未出现 PTSD 的个体之间,静息态脑网络有何不同。参与者包括有部署性 TBI 病史的退伍军人,这些人都经历过部署,有些患有 PTSD,有些则没有。从小世界特性、聚类系数和模块性等图形指标,基于个体构建的整个大脑网络,来自 5 分钟睁眼静息状态脑磁图(MEG)记录。分析调整了年龄和发病前智商。结果表明,目前患有 PTSD 的参与者具有更高的小世界特性,F(1,12) = 5.364,p < 0.039,偏 eta 平方 = 0.309,Cohen's d = 0.972,聚类系数,F(1,12) = 12.204,p < 0.004,偏 eta 平方 = 0.504,Cohen's d = 0.905,高于没有目前 PTSD 的参与者。模块性或存在模块的数量在两组之间没有差异。这些发现与 TBI 病史对功能网络的影响的超连接假说一致,而不是断开连接假说,表明聚类系数水平升高,而不是预期的降低;然而,这些结果没有考虑到大脑结构的潜在变化。这些结果表明,经历过部署性 TBI 后,功能脑网络的变化可能导致潜在的病理后果,这代表了与部署性 TBI 相关的潜在神经生物学变化,可能会增加随后发展为 PTSD 的风险。

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