Characterizing PTSD Using Electrophysiology: Towards A Precision Medicine Approach.

Natasha Kovacevic, Amir Meghdadi, Chris Berka
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Abstract

Objective. Resting-state EEG measures have shown potential in distinguishing individuals with PTSD from healthy controls. ERP components such as N2, P3, and late positive potential have been consistently linked to cognitive abnormalities in PTSD, especially in tasks involving emotional or trauma-related stimuli. However, meta-analyses have reported inconsistent findings. The understanding of biomarkers that can classify the varied symptoms of PTSD remains limited. This study aimed to develop a concise set of electrophysiological biomarkers, using neutral cognitive tasks, that could be applied across psychiatric conditions, and to identify biomarkers associated with the anxiety and depression dimensions of PTSD. Approach. Continuous simultaneous recordings of EEG and electrocardiogram (ECG) were obtained in veterans with PTSD (n = 29) and healthy controls (n = 62) during computerized tasks. EEG, ERP, and heart rate measures were evaluated in terms of their ability to discriminate between the groups or correlate with psychological measures. Results. The PTSD cohort exhibited faster alpha oscillations, reduced alpha power, and a flatter power spectrum. Furthermore, stronger reduction in alpha power was associated with higher trait anxiety, while a flatter slope was related to more severe depression symptoms in individuals with PTSD. In ERP tasks of visual memory and sustained attention, the PTSD cohort demonstrated delayed and exaggerated early components, along with attenuated LPP amplitudes. The three tasks revealed distinct and complementary EEG signatures PTSD. Significance. Multimodal individualized biomarkers based on EEG, cognitive ERPs, and ECG show promise as objective tools for assessing mood and anxiety disturbances within the PTSD spectrum.

使用电生理学表征创伤后应激障碍:走向精确医学方法。
目标。静息状态脑电图测量已显示出区分PTSD患者与健康对照者的潜力。ERP成分如N2、P3和晚期正电位一直与PTSD的认知异常有关,特别是在涉及情绪或创伤相关刺激的任务中。然而,荟萃分析报告了不一致的发现。对创伤后应激障碍各种症状分类的生物标志物的了解仍然有限。本研究旨在开发一套简洁的电生理生物标志物,使用中性认知任务,可应用于各种精神疾病,并确定与PTSD焦虑和抑郁维度相关的生物标志物。的方法。对患有PTSD的退伍军人(n = 29)和健康对照(n = 62)在计算机化任务中连续同时记录的脑电图和心电图(ECG)进行分析。脑电图、ERP和心率测量是根据它们区分各组的能力或与心理测量的相关性来评估的。结果。PTSD组表现出更快的α振荡、更低的α功率和更平坦的功率谱。此外,α功率的更强的降低与更高的特质焦虑有关,而更平坦的斜率与PTSD患者更严重的抑郁症状有关。在视觉记忆和持续注意的ERP任务中,PTSD队列表现出延迟和夸大的早期成分,以及减弱的LPP振幅。三个任务显示出不同的和互补的EEG特征PTSD。的意义。基于脑电图、认知erp和心电图的多模式个性化生物标志物有望成为评估PTSD谱系中情绪和焦虑障碍的客观工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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