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Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors

机译:用于创伤后应激障碍(PTSD)的多域潜在生物标志物在最近的创伤幸存者中严重程度

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Contemporary symptom-based diagnosis of post-traumatic stress disorder (PTSD) largely overlooks related neurobehavioral mechanisms and relies entirely on subjective interpersonal reporting. Previous studies associating biomarkers with PTSD have mostly used symptom-based diagnosis as the main outcome measure, disregarding the wide variability and richness of PTSD phenotypical features. Here, we aimed to computationally derive potential biomarkers that could efficiently differentiate PTSD subtypes among recent trauma survivors. A three-staged semi-unsupervised method (“3C”) was used to firstly categorize individuals by current PTSD symptom severity, then derive clusters based on clinical features related to PTSD (e.g. anxiety and depression), and finally to classify participants’ cluster membership using objective multi-domain features. A total of 256 features were extracted from psychometrics, cognitive functioning, and both structural and functional MRI data, obtained from 101 adult civilians (age?=?34.80?±?11.95; 51 females) evaluated within 1 month of trauma exposure. The features that best differentiated cluster membership were assessed by importance analysis, classification tree, and ANOVA. Results revealed that entorhinal and rostral anterior cingulate cortices volumes (structural MRI domain), in-task amygdala’s functional connectivity with the insula and thalamus (functional MRI domain), executive function and cognitive flexibility (cognitive testing domain) best differentiated between two clusters associated with PTSD severity. Cross-validation established the results’ robustness and consistency within this sample. The neural and cognitive potential biomarkers revealed by the 3C analytics offer objective classifiers of post-traumatic morbidity shortly following trauma. They also map onto previously documented neurobehavioral mechanisms associated with PTSD and demonstrate the usefulness of standardized and objective measurements as differentiating clinical sub-classes shortly after trauma.
机译:基于当代的症状基于症状的创伤后应激障碍(PTSD)的诊断很大程度上忽略了相关的神经兽性机制,并依赖于主观的人际关系报告。以前的研究将生物标志物与PTSD相关,主要使用基于症状的诊断作为主要结果测量,忽视了可怜的可变性功能的广泛变异性和丰富性。在这里,我们旨在计算潜在的生物标志物,可以有效地区分最近的创伤幸存者之间的PTSD亚型。使用三分阶段的半无监督方法(“3C”)首先通过当前的PTSD症状严重性分类个体,然后基于与PTSD(例如焦虑和抑郁)相关的临床特征来派生群集,最后分类参与者的集群成员资格使用客观多域功能。从精神测量学,认知功能和结构和功能MRI数据中提取了总共256个特征,从101名成年平民获得(年龄?=?34.80?±11.95; 51例)在创伤的1个月内评估。最佳差异化群集成员资格的功能是由重要性分析,分类树和ANOVA评估的。结果表明,有机和振动术前刺伤皮质体积(结构MRI结构域),任务性Amygdala与insula和丘脑的功能连通性,执行功能和认知测试域(认知测试域)最佳区分与其相关的两个集群PTSD严重程度。交叉验证在此示例中建立了结果的鲁棒性和一致性。 3C分析显示的神经和认知潜在生物标志物在创伤后不久提供了创伤后发病率的客观分类器。它们还将与PTSD相关的先前记录的神经兽性机制,并证明了标准化和客观测量的有用性,因为在创伤后不久将临床患者分化为差异。

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