Literature DB >> 30354038

Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis

Xiuli Wang1, Qiang Luo, Fangfang Tian, Bochao Cheng, Lihua Qiu, Song Wang, Manxi He, Hongming Wang, Mingjun Duan, Zhiyun Jia.   

Abstract

Background: The literature on grey-matter volume alterations in bipolar disorder is heterogeneous in its findings.
Methods: Using effect-size differential mapping, we conducted a meta-analysis of grey-matter volume alterations in patients with bipolar disorder compared with healthy controls.
Results: We analyzed data from 50 studies that included 1843 patients with bipolar disorder and 2289 controls. Findings revealed lower grey-matter volumes in the bilateral superior frontal gyri, left anterior cingulate cortex and right insula in patients with bipolar disorder and in patients with bipolar disorder type I. Patients with bipolar disorder in the euthymic and depressive phases had spatially distinct regions of altered grey-matter volume. Meta-regression revealed that the proportion of female patients with bipolar disorder or bipolar disorder type I was negatively correlated with regional grey-matter alteration in the right insula; the proportion of patients with bipolar disorder or bipolar disorder type I taking lithium was positively correlated with regional grey-matter alterations in the left anterior cingulate/paracingulate gyri; and the proportion of patients taking antipsychotic medications was negatively correlated with alterations in the anterior cingulate/paracingulate gyri. Limitations: This study was cross-sectional; analysis techniques, patient characteristics and clinical variables in the included studies were heterogeneous.
Conclusion: Structural grey-matter abnormalities in patients with bipolar disorder and bipolar disorder type I were mainly in the prefrontal cortex and insula. Patients' mood state might affect grey-matter alterations. Abnormalities in regional grey-matter volume could be correlated with patients' specific demographic and clinical features.
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Year:  2019        PMID: 30354038      PMCID: PMC6397036          DOI: 10.1503/jpn.180002

Source DB:  PubMed          Journal:  J Psychiatry Neurosci        ISSN: 1180-4882            Impact factor:   6.186


  89 in total

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