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A brain network model for depression: From symptom understanding to disease intervention

机译:抑郁症的大脑网络模型:从症状理解到疾病干预

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Understanding the neural substrates of depression is crucial for diagnosis and treatment. Here, we review recent studies of functional and effective connectivity in depression, in terms of functional integration in the brain. Findings from these studies, including our own, point to the involvement of at least four networks in patients with depression. Elevated connectivity of a ventral limbic affective network appears to be associated with excessive negative mood (dysphoria) in the patients; decreased connectivity of a frontal‐striatal reward network has been suggested to account for loss of interest, motivation, and pleasure (anhedonia); enhanced default mode network connectivity seems to be associated with depressive rumination; and diminished connectivity of a dorsal cognitive control network is thought to underlie cognitive deficits especially ineffective top‐down control of negative thoughts and emotions in depressed patients. Moreover, the restoration of connectivity of these networks—and corresponding symptom improvement—following antidepressant treatment (including medication, psychotherapy, and brain stimulation techniques) serves as evidence for the crucial role of these networks in the pathophysiology of depression.
机译:了解抑郁症的神经基础对于诊断和治疗至关重要。在这里,我们回顾了关于抑郁症的功能和有效连通性的最新研究,就大脑中的功能整合而言。这些研究(包括我们自己的研究)的发现表明,抑郁症患者至少涉及四个网络。腹侧边缘情感网络的连通性升高似乎与患者过度的负面情绪(烦躁不安)有关;有人建议减少额叶纹状体奖励网络的连通性,以消除兴趣,动力和愉悦感的丧失(快感缺乏症);增强的默认模式网络连接似乎与沮丧的沉思有关;背侧认知控制网络的连通性降低被认为是认知缺陷的根源,尤其是抑郁症患者负面思想和情绪的自上而下的无效控制。此外,在抗抑郁治疗(包括药物治疗,心理治疗和脑刺激技术)之后,这些网络的连接性恢复以及相应的症状改善,可作为这些网络在抑郁症病理生理学中至关重要的证据。

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