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将抑郁症状维度与晚年小脑亚区体积联系起来。

Linking depressive symptom dimensions to cerebellar subregion volumes in later life.

机构信息

Department of Psychology, Georgia State University, Atlanta, GA, USA.

Neuroscience Institute, Georgia State University, Atlanta, GA, USA.

出版信息

Transl Psychiatry. 2020 Jun 19;10(1):201. doi: 10.1038/s41398-020-00883-6.

Abstract

The present study examined the relationship between subthreshold depressive symptoms and gray matter volume in subregions of the posterior cerebellum. Structural magnetic resonance imaging data from 38 adults aged 51 to 80 years were analyzed along with participants' responses to the Center for Epidemiologic Studies Depression Scale. Subscale scores for depressed mood, somatic symptoms, and lack of positive affect were calculated, and multiple regression analyses were used to examine the relationship between symptom dimensions and cerebellar volumes. Greater total depressive symptoms and greater somatic symptoms of depression were significantly related to larger volumes of vermis VI, a region within the salience network, which is altered in depression. Exploratory analyses revealed that higher scores on the lack of positive affect subscale were related to larger vermis VIII volumes. These results support that depressive symptom profiles have unique relationships within the cerebellum that may be important as the field move towards targeted treatment approaches for depression.

摘要

本研究探讨了亚阈值抑郁症状与后小脑区域灰质体积之间的关系。分析了来自 38 名年龄在 51 岁至 80 岁之间的成年人的结构磁共振成像数据,以及参与者对流行病学研究抑郁量表的反应。计算了抑郁情绪、躯体症状和缺乏积极情绪的亚量表得分,并使用多元回归分析来研究症状维度与小脑体积之间的关系。总的抑郁症状和抑郁的躯体症状越严重,与凸显网络内的蚓部 VI 体积越大呈显著相关,而凸显网络在抑郁中发生改变。探索性分析表明,缺乏积极情绪亚量表的得分越高,与蚓部 VIII 体积越大有关。这些结果支持抑郁症状谱在小脑内具有独特的关系,这可能在该领域朝着针对抑郁的靶向治疗方法发展时很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c369/7305200/d097cad9670b/41398_2020_883_Fig1_HTML.jpg

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