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首页> 外文期刊>Psychiatry Research. Neuroimaging >Dissociated large-scale functional connectivity networks of the precuneus in medication-naive first-episode depression
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Dissociated large-scale functional connectivity networks of the precuneus in medication-naive first-episode depression

机译：未使用药物的首发抑郁患者早产儿的游离大型功能连接网络

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An imbalance in neural activity within large-scale networks appears to be an important pathophysiological aspect of depression. Yet, there is little consensus regarding the abnormality within the default mode network (DMN) in major depressive disorder (MDD). In the present study, 16 first-episode, medication-naive patients with MDD and 16 matched healthy controls underwent functional magnetic resonance imaging (fMRI) at rest. With the precuneus (a central node of the DMN) as a seed region, functional connectivity (PC) was measured across the entire brain. The association between the PC of the precuneus and overall symptom severity was assessed using the Hamilton Depression Rating Scale. Patients with MDD exhibited a more negative relationship between the precuneus and the non-DMN regions, including the sensory processing regions (fusiform gyrus, postcentral gyrus) and the secondary motor cortex (supplementary motor area and precentral gyms). Moreover, greater severity of depression was associated with greater anti-correlation between the precuneus and the temporo-parietal junction as well as stronger positive connectivity between the precuneus and the dorsomedial prefrontal cortex. These results indicate that dissociated large-scale networks of the precuneus may contribute to the clinical expression of depression in MDD. (C) 2015 Published by Elsevier Ireland Ltd.
机译：大型网络中神经活动的失衡似乎是抑郁症的重要病理生理方面。然而，关于重度抑郁症（MDD）的默认模式网络（DMN）内的异常，几乎没有共识。在本研究中，对16例首发，未经药物治疗的MDD患者和16例匹配的健康对照者在休息时进行了功能磁共振成像（fMRI）。以足前神经（DMN的中央节点）作为种子区域，在整个大脑中测量功能连接性（PC）。使用汉密尔顿抑郁评估量表评估了胎前PC与总体症状严重程度之间的关联。患有MDD的患者在前突神经区和非DMN区域之间表现出更负相关的关系，包括感觉处理区域（梭形回，中央后回）和次级运动皮层（辅助运动区和中央前体育馆）。此外，抑郁症的严重程度与前胎与颞顶结之间的抗相关性以及前胎与背阔肌前额叶皮层之间更强的正连通性有关。这些结果表明游离的precuneus的大规模网络可能有助于MDD中抑郁症的临床表达。 （C）2015由爱思唯尔爱尔兰有限公司出版。

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