Misaki Masaya, Tsuchiyagaito Aki, Guinjoan Salvador M, Rohan Michael L, Paulus Martin P
Laureate Institute for Brain Research, Tulsa, OK, USA.
Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA.
bioRxiv. 2023 Jun 9:2023.03.23.533932. doi: 10.1101/2023.03.23.533932.
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)已被提出作为抑郁症中反复消极思维(RNT)的一个潜在指标。然而,确定与RSFC改变相关的具体功能过程具有挑战性,目前尚不清楚抑郁症患者RSFC的改变是直接与RNT过程相关,还是与消极思维过程本身不同的个体特征相关。为了研究重度抑郁症(MDD)患者RSFC改变与RNT过程之间的关系,我们使用基于连接组的预测建模(CPM)和全连接组关联(CWA)分析,比较了RSFC与诱发消极思维状态(NTFC)期间的功能连接在预测RNT特征及其相关全脑连接模式方面的差异。36名MDD参与者和26名健康对照参与者接受了静息态和诱发消极思维状态的功能磁共振成像扫描。CPM分析显示,RSFC和NTFC都能区分健康个体和抑郁症患者。然而,用沉思反应量表-沉思子量表测量的抑郁症患者的特质RNT仅能从NTFC预测,而不能从RSFC预测。CWA分析表明,抑郁症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中未观察到这种情况。这些发现表明,抑郁症中的RNT涉及一个活跃的心理过程,该过程包括跨功能网络的多个脑区,而这在静息状态中并未体现。虽然RSFC表明MDD患者存在脑功能改变,但它们可能无法直接反映消极思维过程。