Variation in fourteen brain structure volumes in schizophrenia: A comprehensive meta-analysis of 246 studies
•Cortical and subcortical volumes are equally variable in schizophrenia and controls.•Intracranial and ventricle volumes are more variable in schizophrenia than controls.•Variance group differences consistent across demographic and clinical variables. Despite hundreds of structural MRI studies docum...
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Published in: | Neuroscience and biobehavioral reviews Vol. 98; pp. 85 - 94 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Ltd
01-03-2019
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Subjects: | |
Online Access: | Get full text |
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Summary: | •Cortical and subcortical volumes are equally variable in schizophrenia and controls.•Intracranial and ventricle volumes are more variable in schizophrenia than controls.•Variance group differences consistent across demographic and clinical variables.
Despite hundreds of structural MRI studies documenting smaller brain volumes on average in schizophrenia compared to controls, little attention has been paid to group differences in the variability of brain volumes. Examination of variability may help interpret mean group differences in brain volumes and aid in better understanding the heterogeneity of schizophrenia. Variability in 246 MRI studies was meta-analyzed for 13 structures that have shown medium to large mean effect sizes (Cohen’s d≥0.4): intracranial volume, total brain volume, lateral ventricles, third ventricle, total gray matter, frontal gray matter, prefrontal gray matter, temporal gray matter, superior temporal gyrus gray matter, planum temporale, hippocampus, fusiform gyrus, insula; and a control structure, caudate nucleus. No significant differences in variability in cortical/subcortical volumes were detected in schizophrenia relative to controls. In contrast, increased variability was found in schizophrenia compared to controls for intracranial and especially lateral and third ventricle volumes. These findings highlight the need for more attention to ventricles and detailed analyses of brain volume distributions to better elucidate the pathophysiology of schizophrenia. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
ISSN: | 0149-7634 1873-7528 1873-7528 |
DOI: | 10.1016/j.neubiorev.2018.12.030 |