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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
Variation in fourteen brain structure volumes in schizophrenia: A comprehensive meta-analysis of 246 studies
Susan S Kuo1, Michael F Pogue-Geile2
1Department of Psychology, University of Pittsburgh, 4209 Sennott Square, 210 South Bouquet St., Pittsburgh PA 15260, USA.
Abstract:
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.
Insights
Schizophrenia patients show increased variability in brain ventricle size, not cortical/subcortical volumes, compared to controls. This finding suggests a need for further research into brain volume distributions in schizophrenia.
Area of Science:
- Neuroimaging
- Psychiatry
- Radiology
Background:
- Structural MRI studies consistently show reduced average brain volumes in schizophrenia.
- Group differences in brain volume variability remain under-explored in schizophrenia research.
- Understanding variability may clarify schizophrenia heterogeneity and pathophysiology.
Purpose of the Study:
- To meta-analyze brain volume variability across multiple structures in schizophrenia.
- To compare variability in intracranial, total brain, ventricular, gray matter, and specific regional volumes between schizophrenia patients and controls.
- To investigate if variability differences contribute to understanding schizophrenia.
Main Methods:
- Meta-analysis of 246 MRI studies focusing on brain volume variability.
- Inclusion of 13 brain structures with medium to large mean effect sizes (Cohen's d≥0.4).
- Comparison of variability in 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 caudate nucleus.
Main Results:
- No significant differences in variability were found for cortical and subcortical gray matter volumes.
- Increased variability in intracranial volume was observed in schizophrenia.
- Significantly increased variability was detected in lateral and third ventricle volumes in schizophrenia patients compared to controls.
Conclusions:
- Schizophrenia is characterized by increased variability in ventricular and intracranial volumes, not cortical/subcortical structures.
- These findings emphasize the importance of analyzing brain volume distributions, particularly ventricles, in schizophrenia.
- Further research into brain volume variability is crucial for elucidating schizophrenia pathophysiology and heterogeneity.
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