Structural imaging in late-life depression: association with mood and cognitive responses to antidepressant treatment

晚年抑郁症的结构成像:与抗抑郁治疗的情绪和认知反应的关联

阅读:1

Abstract

OBJECTIVES: Recent positron emission tomography studies of cerebral glucose metabolism have identified the functional neural circuitry associated with mood and cognitive responses to antidepressant treatment in late life depression (LLD). The structural alterations in these networks are not well understood. The present study used magnetic resonance (MR) imaging and voxel-based morphometry to evaluate the association between gray matter volumes and changes in mood symptoms and cognitive function with treatment with the antidepressant citalopram. DESIGN: Open-label trial with baseline brain MR scan. Mood and cognitive assessments performed at baseline and during citalopram treatment. SETTING: Outpatient clinics of an academic medical center. PARTICIPANTS: 17 previously unmedicated patients age 55 years or older with a major depressive episode and 17 non-depressed comparison subjects. INTERVENTION: 12-week trial of flexibly dosed citalopram. MEASUREMENTS: Gray matter volumes, Hamilton Depression Rating Scale, California Verbal Learning Test, Delis-Kaplan Executive Function System. RESULTS: In LLD, higher gray matter volumes in the cingulate gyrus, superior and middle frontal gyri, middle temporal gyrus, and precuneus was associated with greater mood improvement. Higher gray matter volumes in primarily frontal areas were associated with greater improvement in verbal memory and verbal fluency performance. CONCLUSIONS: Associations with antidepressant induced improvements in mood and cognition were observed in several brain regions previously correlated with normalization of glucose metabolism after citalopram treatment in LLD. Future studies will investigate molecular mechanisms underlying these associations (e.g., beta-amyloid, inflammation, glutamate).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。