Literature DB >> 32851576

Regional brain atrophy in overactive bladder syndrome: a voxel based morphometry study.

Long Zuo1, Yang Zhou1, Shuangkun Wang2, Biao Wang3, Hua Gu1, Jingnan Chen4.   

Abstract

OBJECTIVES: To investigate whether patients with overactive bladder syndrome (OAB) have brain volume changes using voxel-based morphometry (VBM) and correlations with clinical tests.
METHODS: With institutional review board approval and after obtaining written informed consent, structural magnetic resonance imaging data were prospectively acquired in 28 patients and 28 control subjects. OAB symptoms were assessed using the OAB symptom score (OABSS) scale. The gray matter volume (GMV) of each voxel was compared between the two groups while controlling for the effects of age, sex, and education level. Correlation analysis was performed to identify correlations between abnormal GMV regions and OABSS scores in patients. Multiple comparisons were corrected using a false discovery rate (FDR) method.
RESULTS: Patients with OAB exhibited a GMV reduction in the right cerebellum, bilateral hippocampus, left insula, right superior temporal gyrus, left anterior cingulate gyrus, bilateral caudate nucleus and right middle frontal gyrus. Furthermore, there was a significant negative correlation between the local GMV of the right cerebellar hemisphere and OABSS score.
CONCLUSIONS: Patients with OAB have abnormal GMV in brain regions localized within the brain-bladder control network. It deepens our understanding of the structural changes in the brain area of the network. The patterns of structural reorganization in patients with OAB may provide useful information in the neuropathological mechanisms of the OAB.

Entities:  

Keywords:  Brain-bladder control network; Gray matter volume; Overactive bladder syndrome; Structural reorganization; Voxel-based morphometry

Mesh:

Year:  2020        PMID: 32851576     DOI: 10.1007/s11255-020-02614-8

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  14 in total

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