Cognition-Related Brain Networks Underpin Cognitive, Emotional, and Somatic Symptom Dimensions of Depression

G. Rayner
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引用次数: 1

Abstract

The latest functional neuroimaging evidence suggests that the abnormal activation and connectivity of cognition-related brain networks may account for different symptom dimensions of unipolar depression. In particular, abnormal functioning of the autobiographic memory network (AMN) and cognitive control network (CCN) is central to the emotional, somatic, and cognitive symptomatology of depression. Chronic hyperactivity of the self-focused AMN is linked to pathological introspection; namely, brooding, self-blame, and rumination. In parallel, underengagement of the CCN is associated with indecisiveness, negative thoughts, poor concentration, and distorted cognitive processing. Downstream effects include dysregulation of networks linked to the somatic and emotional symptoms of depression, namely the cortico–subcortical affective network and salience network. AMN–CCN dynamics can change between individuals and over time, plausibly accounting for both the pleomorphic presentation of depression and its fluctuating course. Framing depression as a disorder of neurocognitive networks directly links clinical features to neurobiology, in line with gold standard psychiatric research guidelines.
认知相关的大脑网络支持抑郁症的认知、情绪和躯体症状维度
最新的功能神经影像学证据表明,认知相关脑网络的异常激活和连接可能是单极抑郁症不同症状维度的原因。特别是,自传体记忆网络(AMN)和认知控制网络(CCN)的异常功能是抑郁症情绪、躯体和认知症状学的核心。自我关注型AMN的慢性过度活跃与病理性内省有关;也就是说,沉思、自责和沉思。同时,CCN的投入不足与优柔寡断、消极思想、注意力不集中和认知加工扭曲有关。下游影响包括与抑郁的躯体和情绪症状相关的网络失调,即皮质-皮质下情感网络和显著性网络。AMN-CCN动态可以在个体和时间之间发生变化,合理地解释了抑郁症的多形性表现及其波动过程。将抑郁症定义为一种神经认知网络紊乱,直接将临床特征与神经生物学联系起来,这与精神病学研究指南的黄金标准是一致的。
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