Laureate Institute for Brain Research, Tulsa, OK, USA; Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA.
Laureate Institute for Brain Research, Tulsa, OK, USA; Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA.
J Affect Disord. 2023 Nov 1;340:843-854. doi: 10.1016/j.jad.2023.08.052. Epub 2023 Aug 13.
Resting-state functional connectivity (RSFC) has been proposed as a potential indicator of repetitive negative thinking (RNT) in depression. However, identifying the specific functional process associated with RSFC alterations is challenging, and it remains unclear whether alterations in RSFC for depressed individuals are directly related to the RNT process or to individual characteristics distinct from the negative thinking process per se. To investigate the relationship between RSFC alterations and the RNT process in individuals with major depressive disorder (MDD), we compared RSFC with functional connectivity during an induced negative-thinking state (NTFC) in terms of their predictability of RNT traits and associated whole-brain connectivity patterns using connectome-based predictive modeling (CPM) and connectome-wide association (CWA) analyses. Thirty-six MDD participants and twenty-six healthy control participants underwent both resting state and induced negative thinking state fMRI scans. Both RSFC and NTFC distinguished between healthy and depressed individuals with CPM. However, trait RNT in depressed individuals, as measured by the Ruminative Responses Scale-Brooding subscale, was only predictable from NTFC, not from RSFC. CWA analysis revealed that negative thinking in depression was associated with higher functional connectivity between the default mode and executive control regions, which was not observed in RSFC. These findings suggest that RNT in depression involves an active mental process encompassing multiple brain regions across functional networks, which is not represented in the resting state. Although RSFC indicates brain functional alterations in MDD, they may not directly reflect the negative thinking process.
静息态功能连接(RSFC)被提出作为抑郁患者重复性消极思维(RNT)的一个潜在指标。然而,确定与 RSFC 改变相关的特定功能过程具有挑战性,并且尚不清楚抑郁个体的 RSFC 改变是否与 RNT 过程直接相关,或者是否与消极思维过程本身不同的个体特征直接相关。为了研究重性抑郁障碍(MDD)个体中 RSFC 改变与 RNT 过程之间的关系,我们使用基于连接体的预测建模(CPM)和连接体全关联(CWA)分析,比较了 RSFC 和诱导消极思维状态下的功能连接(NTFC)在预测 RNT 特征和相关全脑连接模式方面的表现。36 名 MDD 参与者和 26 名健康对照组参与者均接受了静息态和诱导消极思维状态 fMRI 扫描。CPM 区分了健康人和抑郁个体的 RSFC 和 NTFC。然而,抑郁个体的 RNT 特质,如用反刍反应量表-沉思子量表测量的,只能从 NTFC 预测,而不能从 RSFC 预测。CWA 分析表明,抑郁中的消极思维与默认模式和执行控制区域之间更高的功能连接有关,而在 RSFC 中则没有观察到。这些发现表明,抑郁中的 RNT 涉及一个包含多个功能网络中多个脑区的主动心理过程,而这在静息状态中并未表现出来。尽管 RSFC 表明 MDD 中的大脑功能改变,但它们可能不能直接反映消极思维过程。