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改变的小脑-大脑静息态功能连接可靠地识别重度抑郁症。

Altered cerebellar-cerebral resting-state functional connectivity reliably identifies major depressive disorder.

机构信息

College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, PR China.

出版信息

Brain Res. 2013 Feb 7;1495:86-94. doi: 10.1016/j.brainres.2012.12.002. Epub 2012 Dec 7.


DOI:10.1016/j.brainres.2012.12.002
PMID:23228724
Abstract

In recent years, the cerebellum has been demonstrated to be involved in cognitive control and emotional processing and to play an important role in the pathology of major depressive disorder (MDD). The current study aims to explore the potential utility of selecting the altered cerebellar-cerebral functional connectivity as a classification feature to discriminate depressed patients from healthy controls. Twenty-four medication-free patients with major depression and 29 matched, healthy controls underwent resting-state functional magnetic resonance imaging. A promising classification accuracy of 90.6% was achieved using resting-state functional connectivity between predefined cerebellar seed regions and the voxels within the cerebrum as features. Moreover, the most discriminating functional connections were mainly located between the cerebellum and the anterior cingulate cortex, the ventromedial prefrontal cortex, the ventrolateral prefrontal cortex, the temporal lobe and the fusiform gyrus, which may contribute to the emotional and cognitive impairments observed in major depression. The current findings imply that the cerebellum might be considered as a node in the distributed disease-related brain network in major depression.

摘要

近年来,小脑被证明参与认知控制和情绪处理,并在重度抑郁症(MDD)的病理学中发挥重要作用。本研究旨在探索选择改变的小脑-大脑功能连接作为分类特征来区分抑郁患者和健康对照的潜在效用。24 名未经药物治疗的重度抑郁症患者和 29 名匹配的健康对照者接受了静息态功能磁共振成像。使用小脑预定种子区域与大脑内体素之间的静息态功能连接作为特征,实现了高达 90.6%的有希望的分类准确性。此外,最具区分性的功能连接主要位于小脑和前扣带皮层、腹内侧前额叶皮层、腹外侧前额叶皮层、颞叶和梭状回之间,这可能有助于解释重度抑郁症中观察到的情绪和认知障碍。目前的研究结果表明,小脑可能被视为重度抑郁症相关疾病脑网络中的一个节点。

相似文献

[1]
Altered cerebellar-cerebral resting-state functional connectivity reliably identifies major depressive disorder.

Brain Res. 2012-12-7

[2]
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Brain. 2012-3-14

[3]
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Prog Neuropsychopharmacol Biol Psychiatry. 2013-1-23

[4]
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Prog Neuropsychopharmacol Biol Psychiatry. 2013-6-23

[5]
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Brain. 2011-7-11

[6]
Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients.

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[7]
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Int J Neuropsychopharmacol. 2015-3-5

[8]
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Schizophr Res. 2013-6-25

[9]
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Eur J Radiol. 2012-8-29

[10]
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Neuroreport. 2012-8-1

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[3]
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[4]
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[5]
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[7]
A review of resting-state fMRI and its use to examine psychiatric disorders.

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[8]
Resting-state functional connectivity of the cerebellum-cerebrum in older women with depressive symptoms.

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[9]
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[10]
Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity.

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