James Lisa M, Leuthold Arthur F, Georgopoulos Apostolos P
Department of Veterans Affairs Health Care System,The PTSD Research Group, Brain Sciences Center (11B), Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, USA.
Department of Neuroscience, University of Minnesota Medical School, Minneapolis, MN, USA.
Exp Brain Res. 2022 Apr;240(4):1117-1125. doi: 10.1007/s00221-022-06320-y. Epub 2022 Feb 8.
Women veterans represent a unique population whose experiences and neurobiology differ from that of their male counterparts. Thus, while previous research has demonstrated the utility of synchronous neural interactions (SNI) as a biomarker of posttraumatic stress disorder (PTSD) in male veterans, the utility of SNI as a biomarker of PTSD in women veterans is unclear. Here we extend that line of research to evaluate classification of women veterans with and without PTSD and other trauma-related outcomes based on functional connectivity using magnetoencephalography (MEG). A total of 121 U.S. women veterans completed diagnostic interviews and underwent a task-free MEG scan from which SNI was computed. Linear discriminant analysis was used to classify PTSD and control groups according to SNI. That discriminant function was then used to classify each individual in the partial recovery and full recovery diagnostic groups as PTSD or control. All individuals were classified correctly (100% accuracy) according to their SNI in their PTSD and control groups. Seventy-seven percent of the full recovery group and 69% of the partial recovery group were classified as control. Individual staging in PTSD recovery was captured by the Mahalanobis D distances from the center of the control and PTSD centroid clusters. These findings provide compelling evidence supporting the utility of task-free SNI as a biomarker of PTSD and related outcomes in women veterans.
女性退伍军人是一个独特的群体，其经历和神经生物学与男性退伍军人不同。因此，虽然先前的研究已经证明同步神经交互作用（SNI）作为男性退伍军人创伤后应激障碍（PTSD）生物标志物的效用，但SNI作为女性退伍军人PTSD生物标志物的效用尚不清楚。在此，我们扩展该研究方向，以基于使用脑磁图（MEG）的功能连接性来评估患有和未患有PTSD及其他创伤相关结果的女性退伍军人的分类。共有121名美国女性退伍军人完成了诊断访谈，并接受了无任务的MEG扫描，从中计算出SNI。使用线性判别分析根据SNI对PTSD组和对照组进行分类。然后使用该判别函数将部分恢复和完全恢复诊断组中的每个个体分类为PTSD或对照组。所有个体在其PTSD组和对照组中根据其SNI被正确分类（准确率100%）。完全恢复组的77%和部分恢复组的69%被分类为对照组。PTSD恢复过程中的个体分期通过与对照组和PTSD质心聚类中心的马氏距离来体现。这些发现提供了令人信服的证据，支持无任务SNI作为女性退伍军人PTSD及相关结果生物标志物的效用。
