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药物治疗初发抑郁症患者楔前叶分离的大规模功能连接网络。

Dissociated large-scale functional connectivity networks of the precuneus in medication-naïve first-episode depression.

机构信息

Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.

Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham NG7 2TU, UK; Center for Translational Neuroimaging, Institute of Mental Health, Nottinghamshire Healthcare NHS Trust, Nottingham NG7 2TU, UK.

出版信息

Psychiatry Res. 2015 Jun 30;232(3):250-6. doi: 10.1016/j.pscychresns.2015.03.003. Epub 2015 Mar 20.

DOI:10.1016/j.pscychresns.2015.03.003
PMID:25957017
Abstract

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-naïve 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 (FC) was measured across the entire brain. The association between the FC 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 gyrus). 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.

摘要

大脑中大规模网络的神经活动失衡似乎是抑郁症的一个重要病理生理方面。然而,对于重度抑郁症(MDD)中默认模式网络(DMN)的异常,目前还没有达成共识。在本研究中,16 名首次发作、未经药物治疗的 MDD 患者和 16 名匹配的健康对照者在静息状态下接受了功能磁共振成像(fMRI)检查。以楔前叶(DMN 的中央节点)为种子区域,测量了整个大脑的功能连接(FC)。使用汉密尔顿抑郁评定量表评估楔前叶的 FC 与整体症状严重程度之间的关系。MDD 患者的楔前叶与非 DMN 区域(包括感觉处理区域(梭状回、中央后回)和次级运动皮层(辅助运动区和中央前回))之间的关系更为负性。此外,抑郁症状越严重,楔前叶与颞顶联合区之间的反相关越强,楔前叶与背内侧前额叶皮质之间的正相关越强。这些结果表明,楔前叶分离的大规模网络可能导致 MDD 中抑郁的临床表现。

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