Large-Scale Functional Brain Network Architecture Changes Associated With Trauma-Related Dissociation.
Large-Scale Functional Brain Network Architecture Changes Associated With Trauma-Related Dissociation.
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DOI：
10.1176/appi.ajp.2020.19060647
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发表时间：
2021-02-01
期刊：
影响因子：
--
通讯作者：
Kaufman ML
中科院分区：
文献类型：
--
作者：
Lebois LAM;Li M;Baker JT;Wolff JD;Wang D;Lambros AM;Grinspoon E;Winternitz S;Ren J;Gönenç A;Gruber SA;Ressler KJ;Liu H;Kaufman ML
解离体验通常发生在创伤反应中，虽然它们的存在强烈影响创伤后谱系障碍的治疗方法，但其病因尚不清楚，其现象学尚未完全表征。可靠地评估分离症状严重程度的方法，而不仅仅依赖于自我报告，将具有巨大的临床应用价值。基于大脑的测量有可能增加症状报告，尽管目前尚不清楚基于大脑功能的解离测量是否足够敏感和稳健，以实现基于脑功能的个体水平解离严重程度的估计。作者试图测试一种基于大脑的分离严重程度测量方法的稳健性和敏感性。研究人员对65名患有童年虐待史和创伤后应激障碍（PTSD）的女性进行了功能性MRI扫描，并对其进行了内在网络连通性分析。作者使用多维解离量表测试了创伤相关解离的连续测量。连接估计是通过一种新的机器学习技术推导出来的，该技术使用每个参与者单独定义的同源功能区域。在控制了童年创伤和创伤后应激障碍的严重程度后，这些模型获得了中等程度的解离能力。对估计贡献最大的连接主要涉及默认模式和额顶叶控制网络。相比之下，当使用传统的基于组的网络分割时，所有模型都在偶然水平上执行。与创伤相关的分离症状，不同于创伤后应激障碍和童年创伤，可以根据网络连通性来估计。此外，脑网络之间的连接可以提供对症状严重程度的无偏估计，为更客观、临床有用的分离生物标志物铺平道路，并促进我们对其神经机制的理解。
Dissociative experiences commonly occur in response to trauma, and while their presence strongly affects treatment approaches in posttraumatic spectrum disorders, their etiology remains poorly understood and their phenomenology incompletely characterized. Methods to reliably assess the severity of dissociation symptoms, without relying solely on self-report, would have tremendous clinical utility. Brain-based measures have the potential to augment symptom reports, although it remains unclear whether brain-based measures of dissociation are sufficiently sensitive and robust to enable individual-level estimation of dissociation severity based on brain function. The authors sought to test the robustness and sensitivity of a brain-based measure of dissociation severity. An intrinsic network connectivity analysis was applied to functional MRI scans obtained from 65 women with histories of childhood abuse and current posttraumatic stress disorder (PTSD). The authors tested for continuous measures of trauma-related dissociation using the Multidimensional Inventory of Dissociation. Connectivity estimates were derived with a novel machine learning technique using individually defined homologous functional regions for each participant. The models achieved moderate ability to estimate dissociation, after controlling for childhood trauma and PTSD severity. Connections that contributed the most to the estimation mainly involved the default mode and frontoparietal control networks. By contrast, all models performed at chance levels when using a conventional group-based network parcellation. Trauma-related dissociative symptoms, distinct from PTSD and childhood trauma, can be estimated on the basis of network connectivity. Furthermore, between-network brain connectivity may provide an unbiased estimate of symptom severity, paving the way for more objective, clinically useful biomarkers of dissociation and advancing our understanding of its neural mechanisms.
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影响因子：
3.1
作者：
Harricharan, Sherain;Rabellino, Daniela;Frewen, Paul A.;Densmore, Maria;Theberge, Jean;McKinnon, Margaret C.;Schore, Allan N.;Lanius, Ruth A.
通讯作者：
Lanius, Ruth A.
影响因子：
9.8
作者：
Holmes, Avram J.;Hollinshead, Marisa O.;O'Keefe, Timothy M.;Petrov, Victor I.;Fariello, Gabriele R.;Wald, Lawrence L.;Fischl, Bruce;Rosen, Bruce R.;Mair, Ross W.;Roffman, Joshua L.;Smoller, Jordan W.;Buckner, Randy L.
通讯作者：
Buckner, Randy L.
DOI：
10.1038/s41583-018-0039-7
发表时间：
2018-09
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Fenster RJ;Lebois LAM;Ressler KJ;Suh J
通讯作者：
Suh J
影响因子：
5.7
作者：
Gordon EM;Laumann TO;Adeyemo B;Gilmore AW;Nelson SM;Dosenbach NUF;Petersen SE
通讯作者：
Petersen SE
DOI：
10.1016/j.bpsc.2018.07.014
发表时间：
2019-01
期刊：
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子：
--
作者：
Brennan BP;Wang D;Li M;Perriello C;Ren J;Elias JA;Van Kirk NP;Krompinger JW;Pope HG Jr;Haber SN;Rauch SL;Baker JT;Liu H
通讯作者：
Liu H