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Altered spontaneous brain activity in type 2 diabetes mellitus: an activation likelihood estimation Meta-analysis / 中华放射学杂志
Chinese Journal of Radiology ; (12): 241-246, 2018.
Article in Chinese | WPRIM | ID: wpr-707923
ABSTRACT
Objective This meta-analysis aims to identify consistent results of vulnerable brain regions through the existing resting-state fMRI studies, thus exploring the changes of neural spontaneous brain activity in type 2 diabetes mellitus (T2DM) patients. Methods A systematic analysis of studies on brain resting-state changes in T2DM patients using ALFF, fALFF and ReHo analysis. The meta-analysis was based on the activation likelihood estimation method, using the software of Ginger ALE 2.3. Results Ten studies from 7 references (188 T2DM patients and 170 healthy controls) were included. Based on the analysis of ALFF and ReHo data, this meta-analysis identi fied the robust reduction of resting-state spontaneous brain activity in T2DM patients, including the left lingual gyrus of occipital lobe, right cerebellum posterior lobe,left postcentral gyrus and right insula(cluster size= 800,488,368,256 mm3,P<0.05 after FDR correction),while no increased spontaneous brain activation was found in any regions.The meta-analysis from ReHo studies showed reduced resting-state spontaneous brain activity in the left lingual gyrus of occipital lobe,left postcentral gyrus,right insula and posterior cingulum/lingual gyrus(cluster size=832,368,280,232 mm3,P<0.05 after FDR correction),while no increased spontaneous brain activation was found in any regions. Conclusion This meta-analysis study using the activation likelihood estimation method demonstrated that the resting-state spontaneous brain anomalies in T2DM patients might contribute to exploring machenism underlying diabetic encephalopathy.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Systematic reviews Language: Chinese Journal: Chinese Journal of Radiology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Systematic reviews Language: Chinese Journal: Chinese Journal of Radiology Year: 2018 Type: Article