Journal
JOURNAL OF PSYCHIATRY & NEUROSCIENCE
Volume 44, Issue 2, Pages 89-101Publisher
CMA-CANADIAN MEDICAL ASSOC
DOI: 10.1503/jpn.180002
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Funding
- National Natural Science Foundation [81571637, 81771812]
- Sichuan Science and Technology Program [2018SZ0391]
- Research Funds of Sichuan Provincial Health and Family Planning Commission [16PJ052]
- Medical Research Funds of Chengdu Municipal Health and Family Planning Commission [2015114]
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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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