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静息状态下默认模式和额顶叶网络连接可区分双相障碍和重性抑郁障碍的无症状患者。

Default-mode and fronto-parietal network connectivity during rest distinguishes asymptomatic patients with bipolar disorder and major depressive disorder.

机构信息

Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.

School of Psychology, University of New South Wales, Sydney, NSW, Australia.

出版信息

Transl Psychiatry. 2021 Oct 23;11(1):547. doi: 10.1038/s41398-021-01660-9.

Abstract

Bipolar disorder (BD) is commonly misdiagnosed as major depressive disorder (MDD). This is understandable, as depression often precedes mania and is otherwise indistinguishable in both. It is therefore imperative to identify neural mechanisms that can differentiate the two disorders. Interrogating resting brain neural activity may reveal core distinguishing abnormalities. We adopted an a priori approach, examining three key networks documented in previous mood disorder literature subserving executive function, salience and rumination that may differentiate euthymic BD and MDD patients. Thirty-eight patients with BD, 39 patients with MDD matched for depression severity, and 39 age-gender matched healthy controls, completed resting-state fMRI scans. Seed-based and data-driven Independent Component analyses (ICA) were implemented to examine group differences in resting-state connectivity (pFDR < 0.05). Seed analysis masks were target regions identified from the fronto-parietal (FPN), salience (SN) and default-mode (DMN) networks. Seed-based analyses identified significantly greater connectivity between the subgenual cingulate cortex (DMN) and right dorsolateral prefrontal cortex (FPN) in BD relative to MDD and controls. The ICA analyses also found greater connectivity between the DMN and inferior frontal gyrus, an FPN region in BD relative to MDD. There were also significant group differences across the three networks in both clinical groups relative to controls. Altered DMN-FPN functional connectivity is thought to underlie deficits in the processing, management and regulation of affective stimuli. Our results suggest that connectivity between these networks could potentially distinguish the two disorders and could be a possible trait mechanism in BD persisting even in the absence of symptoms.

摘要

双相情感障碍(BD)常被误诊为重度抑郁症(MDD)。这是可以理解的,因为抑郁通常先于躁狂,而且两者在其他方面也无法区分。因此,必须确定可以区分这两种疾病的神经机制。研究静息大脑神经活动可能会揭示核心的区别异常。我们采用了一种先验的方法,检查了之前心境障碍文献中记录的三个关键网络,这些网络支持执行功能、突显和反刍,这些可能可以区分双相情感障碍和 MDD 患者。38 名双相情感障碍患者、39 名抑郁严重程度与双相情感障碍患者相匹配的 MDD 患者和 39 名年龄性别匹配的健康对照者完成了静息态 fMRI 扫描。实施了基于种子的和数据驱动的独立成分分析(ICA),以检查静息状态连接的组间差异(pFDR<0.05)。种子分析掩模是从前额顶叶(FPN)、突显(SN)和默认模式(DMN)网络中确定的目标区域。基于种子的分析确定,与 MDD 和对照组相比,BD 患者的扣带回下皮质(DMN)与右侧背外侧前额叶皮层(FPN)之间的连接性显著更高。ICA 分析还发现,BD 患者的 DMN 与下额叶之间的连接性比 MDD 患者更强,这也是 FPN 区域。在两个临床组中,与对照组相比,这三个网络在两组中均存在显著的组间差异。认为 DMN-FPN 功能连接的改变是情感刺激处理、管理和调节缺陷的基础。我们的结果表明,这些网络之间的连接性可能可以区分这两种疾病,并且可能是 BD 中持续存在的潜在特征机制,即使没有症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9b/8542033/c10e5a63f7f7/41398_2021_1660_Fig1_HTML.jpg

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