Solé-Padullés Cristina, Cattaneo Gabriele, Marchant Natalie L, Cabello-Toscano María, Mulet-Pons Lídia, Solana Javier, Bargalló Núria, Tormos Josep M, Pascual-Leone Álvaro, Bartrés-Faz David
Department of Medicine, Faculty of Medicine and Health Sciences; Institute of Neurosciences, University of Barcelona, Barcelona, Spain.
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Front Aging Neurosci. 2022 Dec 15;14:1062887. doi: 10.3389/fnagi.2022.1062887. eCollection 2022.
Repetitive Negative Thinking (RNT) includes negative thoughts about the future and past, and is a risk factor for depression and anxiety. Prefrontal and anterior cingulate cortices have been linked to RNT but several regions within large-scale networks are also involved, the efficiency of which depends on their ability to remain segregated.
Associations between RNT and system segregation (SyS) of the Anterior Salience Network (ASN), Default Mode Network (DMN) and Executive Control Network (ECN) were explored in healthy middle-aged adults ( = 341), after undergoing resting-state functional magnetic resonance imaging. Regression analyses were conducted with RNT as outcome variable. Explanatory variables were: SyS, depression, emotional stability, cognitive complaints, age and sex.
Analyses indicated that RNT was associated with depression, emotional stability, cognitive complaints, age and segregation of the left ECN (LECN) and ASN. Further, the ventral DMN (vDMN) presented higher connectivity with the ASN and decreased connectivity with the LECN, as a function of RNT.
Higher levels of perseverative thinking were related to increased segregation of the LECN and decreased segregation of the ASN. The dissociative connectivity of these networks with the vDMN may partially account for poorer cognitive control and increased self-referential processes characteristic of RNT.
重复性消极思维(RNT)包括对未来和过去的消极想法,是抑郁和焦虑的一个风险因素。前额叶和前扣带回皮质与RNT有关,但大规模网络中的几个区域也参与其中,其效率取决于它们保持分离的能力。
在341名健康中年成年人接受静息态功能磁共振成像后,探讨RNT与前凸显网络(ASN)、默认模式网络(DMN)和执行控制网络(ECN)的系统分离(SyS)之间的关联。以RNT作为结果变量进行回归分析。解释变量包括:SyS、抑郁、情绪稳定性、认知主诉、年龄和性别。
分析表明,RNT与抑郁、情绪稳定性、认知主诉、年龄以及左侧ECN(LECN)和ASN的分离有关。此外,腹侧DMN(vDMN)与ASN的连接性增加,与LECN的连接性降低,这是RNT的一个函数。
更高水平的执着性思维与LECN分离增加和ASN分离减少有关。这些网络与vDMN的分离性连接可能部分解释了RNT中较差的认知控制和增加的自我参照过程。