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Regional homogeneity in depression:a meta-analysis of resting-state functional-MRI studies / 中华行为医学与脑科学杂志
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 379-384, 2017.
Artículo en Chino | WPRIM | ID: wpr-609569
ABSTRACT
Objective To effectively combine the results of resting state regional homogeneity(ReHo) fMRI studies in depression.Methods Literatures between 2003-2016 on fMRI of depression in PubMed,Web of Knowledge,EBSCO host medline,CNKI,CQVIP and Wanfang Med Online were taken as research objects.Screening the relevant data according to the included and excluded standard,then,software of AES-SDM was employed to do Meta analysis,in addition,the age,gender,duration of disease,the year of education and treatment were also analyzed.Results 23 articles met the standard,including 1 036 cases,of which 507 for the depression group,529 for the control group.Meta analysis showed the significant ReHo abnormalities of Default Mode Network(DMN) which centers on left precuneus,left superior frontal gyrus and right cingulate gyrus,in addition,left lenticular nucleus,left postcentral gyrus,left cerebellum and left fusiform gyrus had significant ReHo differences.In the regression analysis,gender,age,duration of disease,years of education,disease severity were all affected factors.The difference of cingulate gyrus was the most stable,and the duration of the disease significantly affected cingulate gyrus (SDM =2.777).Conclusion The abnormalities of DMN which centers on left precuneus,left,medial superior frontal gyrus and right cingulate gyrus are the most consistent in depression,the DMN is closely related to depression.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Revisiones Sistemáticas Evaluadas Idioma: Chino Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2017 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Revisiones Sistemáticas Evaluadas Idioma: Chino Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2017 Tipo del documento: Artículo