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与抑郁相关的心理脆弱性组成部分的功能网络连接性

Functional Network Connectivity for Components of Depression-Related Psychological Fragility.

作者信息

Evans Ian D, Sharpley Christopher F, Bitsika Vicki, Vessey Kirstan A, Jesulola Emmanuel, Agnew Linda L

机构信息

Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia.

Department of Neurosurgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.

出版信息

Brain Sci. 2024 Aug 22;14(8):845. doi: 10.3390/brainsci14080845.

Abstract

Psychological resilience (PR) is known to be inversely associated with depression. While there is a growing body of research examining how depression alters activity across multiple functional neural networks, how differences in PR affect these networks is largely unexplored. This study examines the relationship between PR and functional connectivity in the alpha and beta bands within (and between) eighteen established cortical nodes in the default mode network, the central executive network, and the salience network. Resting-state EEG data from 99 adult participants (32 depressed, 67 non-depressed) were used to measure the correlation between the five factors of PR sourced from the Connor-Davidson Resilience Scale and eLORETA-based measures of coherence and phase synchronisation. Distinct functional connectivity patterns were seen across each resilience factor, with a notable absence of overlapping positive results across the depressed and non-depressed samples. These results indicate that depression may modulate how resilience is expressed in terms of fundamental neural activity.

摘要

心理韧性(PR)已知与抑郁症呈负相关。虽然越来越多的研究在探讨抑郁症如何改变多个功能性神经网络的活动,但PR的差异如何影响这些网络在很大程度上尚未得到探索。本研究考察了默认模式网络、中央执行网络和突显网络中18个既定皮质节点内部(以及节点之间)的α和β波段的PR与功能连接之间的关系。来自99名成年参与者(32名抑郁症患者,67名非抑郁症患者)的静息态脑电图数据用于测量源自康纳-戴维森韧性量表的PR的五个因素与基于eLORETA的相干性和相位同步测量之间的相关性。在每个韧性因素中都观察到了不同的功能连接模式,在抑郁症患者和非抑郁症患者样本中明显没有重叠的阳性结果。这些结果表明,抑郁症可能会调节韧性在基本神经活动方面的表达方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/414d/11352653/5a2f70c298f1/brainsci-14-00845-g001.jpg

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