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Abnormal EEG-based functional connectivity under a face-word stroop task in depression

机译：情绪低落的人脸表情压力下基于脑电图的功能连接异常

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Identifying and evaluating functionally connected regions in the brain has become a challenging problem to solve in many studies of neurological and psychiatric disorders. In particular, functional connectivity of brain mechanisms underlying disturbed cognition in depression is still not well understood in current neuroscience research. Based on the Stroop paradigm, specifically, the face-word Stroop task, we aimed to analyze task-based electroencephalography (EEG) functional connectivity in subjects with depression and in healthy controls, using concepts from time series clustering. In this study, EEG signals of 10 healthy subjects and 10 depressive patients were collected. Then EEG signals were segmented into temporal window corresponding to the event-related potentials (ERPs). For each duration, hierarchical clustering (HC) along with optimizations for the dynamic time warping (DTW) were employed to identify meaningful functionally connected regions and examine changes in depression. It was demonstrated that our method had the potential to become a useful tool for clinical investigators to identify the underlying impairments of brain functional connections in the patients with depression. One of the most representative functional connections obtained in the present study indicated that during the N450 component, the left and right frontal brain parts may discriminate depressive patients from healthy controls. This finding was interpreted by valence-hypothesis, which can prove the validity of the theory of emotional conflict in major depression.
机译：在许多神经系统和精神疾病研究中，识别和评估大脑中功能连接的区域已成为一个具有挑战性的问题。尤其是，在当前的神经科学研究中，关于抑郁症中认知障碍的大脑机制的功能连通性仍然不甚了解。基于Stroop范式，特别是面部表情Stroop任务，我们旨在使用时间序列聚类的概念来分析患有抑郁症的受试者和健康对照者的基于任务的脑电图（EEG）功能连接性。在这项研究中，收集了10位健康受试者和10位抑郁症患者的EEG信号。然后将EEG信号分割为与事件相关电位（ERP）相对应的时间窗口。对于每个持续时间，采用层次聚类（HC）以及动态时间规整（DTW）的优化来识别有意义的功能连接区域并检查抑郁症的变化。结果表明，我们的方法有可能成为临床研究者识别抑郁症患者脑功能连接潜在障碍的有用工具。在本研究中获得的最具代表性的功能联系之一表明，在N450成分期间，左额和右额脑部分可能会将抑郁症患者与健康对照区分开。价假设解释了这一发现，可以证明重度抑郁症中的情绪冲突理论是正确的。

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