ArticleBrain imaging and behavior2020
Voxel-based morphometry results in first-episode schizophrenia: a comparison of publicly available software packages.
Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- No reliable gray matter alterations in idiopathic dystonia.Frontiers in neurology · 2025Pooled it
- Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation.Frontiers in psychiatry · 2022Pooled it
- Association Between Urban Upbringing and Cortical Gyrification in Persons with Schizophrenia.Indian journal of psychological medicine · 2025Article
- MRI Voxel Morphometry Shows Brain Volume Changes in Breast Cancer Survivors: Implications for Treatment.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025Article
- CBMAT: a MATLAB toolbox for data preparation and post hoc analyses in neuroimaging meta-analyses.Behavior research methods · 2024Article
- Investigating White Matter Abnormalities Associated with Schizophrenia Using Deep Learning Model and Voxel-Based Morphometry.Brain sciences · 2023Article
- Grey matter volume and its association with cognitive impairment and peripheral cytokines in excited individuals with schizophrenia.Brain imaging and behavior · 2022Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Investigations of brain structure in schizophrenia using magnetic resonance imaging (MRI) have identified variations in regional grey matter (GM) volume throughout the brain but the results are mixed. This study aims to investigate whether the inconsistent voxel-based morphometry (VBM) findings in schizophrenia are due to the use of different software packages. T1 MRI images were obtained from 86 first-episode schizophrenia (FESZ) patients and 86 age- and gender-matched Healthy controls (HCs). VBM analysis was carried out using FMRIB software library (FSL) 5.0 and statistical parametric mapping 8 (SPM8). All images were processed using the default parameter settings as provided by these software packages. FSL-VBM revealed widespread GM volume reductions in FESZ patients compared with HCs, however, for SPM-VBM, only increased and circumscribed GM volume changes were found, both software revealed increased GM volume within cerebellum. Significant correlations between Positive and Negative Syndrome Scale (PANSS) and GM volume were mainly found in frontal regions. Algorithms of GM tissue segmentation, image registration and statistical strategies might contribute to these disparate results.
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