Neural signal variability relates to maladaptive rumination in depression

沉思 心理学 萧条(经济学) 背外侧前额叶皮质 神经影像学 前额叶皮质 神经功能成像 神经科学 扁桃形结构 大脑活动与冥想 临床心理学 认知 听力学 脑电图 医学 经济 宏观经济学
作者
Carissa L. Philippi,Katie Leutzinger,Sally Pessin,Alexis Cassani,Olivia Mikel,Erin C. Walsh,Roxanne M. Hoks,Rasmus M. Birn,Heather C. Abercrombie
出处
期刊:Journal of Psychiatric Research [Elsevier BV]
卷期号:156: 570-578 被引量:10
标识
DOI:10.1016/j.jpsychires.2022.10.070
摘要

Rumination is a common feature of depression and predicts the onset and maintenance of depressive episodes. Maladaptive and adaptive subtypes of rumination contribute to distinct outcomes, with brooding worsening negative mood and reflection related to fewer depression symptoms in healthy populations. Neuroimaging studies have implicated several cortical midline and lateral prefrontal brain regions in rumination. Recent research indicates that blood oxygen level-dependent (BOLD) signal variability may be a novel predictor of cognitive flexibility. However, no prior studies have investigated whether brooding and reflection are associated with distinct patterns of BOLD signal variability in depression. We collected resting-state fMRI data for 79 women with different depression histories: no history, past history, and current depression. We examined differences in BOLD signal variability (BOLDSD) related to rumination subtypes for the following regions of interest previously implicated in rumination: amygdala, medial prefrontal, anterior cingulate, posterior cingulate, and dorsolateral prefrontal cortices (dlPFC). Rumination subtype was associated with BOLDSD in the dlPFC, with greater levels of brooding associated with lower BOLDSD in the dlPFC, even after controlling for depression severity. Depression history was related to BOLDSD in the dlPFC, with reduced BOLDSD in those with current depression versus no history of depression. These findings provide a novel demonstration of the neural circuitry associated with maladaptive rumination in depression and implicate decreased prefrontal neural signal variability in the pathophysiology of depression.
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