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本文引用的文献

1
Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks.大规模网络中异常枢纽所暗示的重度抑郁症中紊乱的皮质厚度协方差网络。
Sci Rep. 2016 Jun 15;6:27964. doi: 10.1038/srep27964.
2
Cognitive Vulnerability to Major Depression: View from the Intrinsic Network and Cross-network Interactions.重度抑郁症的认知易损性:基于内在网络和跨网络交互的视角
Harv Rev Psychiatry. 2016 May-Jun;24(3):188-201. doi: 10.1097/HRP.0000000000000081.
3
Dimensions of depressive symptoms and cingulate volumes in older adults.老年人抑郁症状和扣带回体积的维度。
Transl Psychiatry. 2016 Apr 19;6(4):e788. doi: 10.1038/tp.2016.49.
4
Increased Default Mode Network Connectivity in Individuals at High Familial Risk for Depression.抑郁症高家族风险个体的默认模式网络连通性增加。
Neuropsychopharmacology. 2016 Jun;41(7):1759-67. doi: 10.1038/npp.2015.342. Epub 2015 Nov 23.
5
Subthreshold depression is associated with impaired resting-state functional connectivity of the cognitive control network.阈下抑郁与认知控制网络静息态功能连接受损有关。
Transl Psychiatry. 2015 Nov 17;5(11):e683. doi: 10.1038/tp.2015.174.
6
Cortical abnormalities and association with symptom dimensions across the depressive spectrum.皮质异常及其与整个抑郁谱系症状维度的关联。
J Affect Disord. 2016 Jan 15;190:529-536. doi: 10.1016/j.jad.2015.10.027. Epub 2015 Oct 30.
7
Depressive symptom severity is associated with increased cortical thickness in older adults.在老年人中,抑郁症状的严重程度与皮质厚度增加有关。
Int J Geriatr Psychiatry. 2016 Apr;31(4):325-33. doi: 10.1002/gps.4324. Epub 2015 Jul 23.
8
The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory.基于图论的静息态下抑郁症中三重网络交互改变
Biomed Res Int. 2015;2015:386326. doi: 10.1155/2015/386326. Epub 2015 Jun 9.
9
Brain structural alterations associated with young women with subthreshold depression.与阈下抑郁年轻女性相关的脑结构改变
Sci Rep. 2015 May 18;5:9707. doi: 10.1038/srep09707.
10
Depression, depressive symptoms, and rate of hippocampal atrophy in a longitudinal cohort of older men and women.老年男性和女性纵向队列中的抑郁症、抑郁症状及海马萎缩率
Psychol Med. 2015 Jul;45(9):1931-44. doi: 10.1017/S0033291714003055. Epub 2015 Apr 21.

对老年人抑郁症状维度和脑容量的顶点分析。

Vertex-wise examination of depressive symptom dimensions and brain volumes in older adults.

机构信息

Department of Clinical and Health Psychology, University of Florida, PO Box 100165, Gainesville, FL 32610-0165, USA.

Department of Clinical and Health Psychology, University of Florida, PO Box 100165, Gainesville, FL 32610-0165, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, 1149 Newell Drive, Gainesville, FL 32611, USA.

出版信息

Psychiatry Res Neuroimaging. 2017 Feb 28;260:70-75. doi: 10.1016/j.pscychresns.2016.12.008. Epub 2016 Dec 16.

DOI:10.1016/j.pscychresns.2016.12.008
PMID:28039796
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5272855/
Abstract

Differences in brain volumes have commonly been reported in older adults with both subthreshold and major depression. Few studies have examined the association between specific symptom dimensions of depression and brain volumes. This study used vertex-wise analyses to examine the association between specific symptom dimensions of depression and brain volumes in older adults with subthreshold levels of depressive symptoms. Forty-three community-dwelling adults between the ages of 55 and 81 years underwent a structural Magnetic Resonance Imaging scan and completed the Center for Epidemiologic Studies Depression Scale (CES-D). Vertex-wise analyses were conducted using Freesurfer Imaging Suite to examine the relationship between CES-D subscale scores and gray matter volumes while controlling for sex, age, and education. We found distinct associations between depressed mood, somatic symptoms, and lack of positive affect subscales with regional volumes, including primarily positive relationships in temporal regions and a negative association with the lingual gyrus. The relationship between higher depressed mood subscale scores and larger volumes in the left inferior temporal lobe withstood Monte-Carlo correction for multiple comparisons. Results from this preliminary study highlight the importance of examining depression on a symptom dimension level and identify brain regions that may be important in larger studies of depression.

摘要

在有亚临床和重度抑郁的老年人中,大脑体积的差异通常有报道。很少有研究检查抑郁的特定症状维度与大脑体积之间的关系。本研究使用顶点分析来检查亚临床抑郁症状老年人中抑郁特定症状维度与大脑体积之间的关系。43 名年龄在 55 岁至 81 岁之间的社区居民接受了结构磁共振成像扫描,并完成了流行病学研究抑郁量表(CES-D)。使用 Freesurfer 成像套件进行顶点分析,以检查 CES-D 子量表得分与灰质体积之间的关系,同时控制性别、年龄和教育。我们发现抑郁情绪、躯体症状和缺乏积极情绪子量表与区域体积之间存在明显的关联,包括颞叶区域的主要正相关关系和与舌回的负相关关系。在颞叶左下方的下颞叶体积与较高的抑郁情绪子量表评分之间存在关联,这一结果在蒙特卡罗多重比较校正后仍然成立。这项初步研究的结果强调了在症状维度层面上检查抑郁的重要性,并确定了在更大的抑郁研究中可能重要的大脑区域。