ReviewMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2022
Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.
Review in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.
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Who cites it
82 citing papers in PubMed, 4 syntheses or guidelines pooled it, 125 citations in OpenAlex.
- Structural and Functional Neuroimaging Findings in Fibromyalgia: A Systematic Review.European journal of pain (London, England) · 2026Pooled it
- Pooled it
- Abnormalities of brain structure and function in cervical spondylosis: a multi-modal voxel-based meta-analysis.Frontiers in neuroscience · 2024Pooled it
- Joint and distinct neural structure and function deficits in major depressive disorder with suicidality: a multimodal meta-analysis of MRI studies.Journal of psychiatry & neuroscience : JPNPooled it
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.Molecular psychiatry · 2026Article
- Volume-inflation registration (INFREG) for morphometric analysis of human focal cortical dysplasia type II.iScience · 2026Article
- The cross-site reproducibility of MRI morphometric phenotypes in psychiatric disorders.Nature neuroscience · 2026Article
- Association Between Anterior Hippocampal Gyrification and Episodic Memory Performance in Neurotypical Young Adults.Hippocampus · 2026Article
- Observational
- Structural Brain Correlates of Speech Disfluency in Early Childhood: A Dimensional Analysis in a Population-Based Cohort.The European journal of neuroscience · 2026Article
- Brain Morphological Alterations in Adults with Spinal Muscular Atrophy Types 2 and 3: A CAT12-Derived Region-Based and Surface-Based Morphometry Study.Journal of clinical medicine · 2026Article
- Composite grey matter fingerprints for genetic frontotemporal dementia.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.Scientific reports · 2026Article
- Extensive frontal cortex abnormalities and cognitive impairment in methamphetamine use disorder: a comprehensive 3T structural MRI analysis.BMC psychiatry · 2026Article
- Altered gray matter volume in major depressive disorder patients with psychomotor retardation.Neuroreport · 2026Article
- Neuroanatomical signatures of chronotype in young adults.Brain imaging and behavior · 2026Article
- VR-based path integration predicts individual risk of rapid cortical decline: a one-year longitudinal study in cognitively unimpaired adults.Alzheimer's research & therapy · 2026Article
- Cortical Structure Alterations in Young People With Mild Internet Gaming Disorder.Addiction biology · 2026Article
- Reduced Whole-Brain Network Segregation and Dorsal Anterior-Cingulate Cortex Neurochemical Alterations in Chronic Smokers.Brain and behavior · 2026Article
- Frontal Lobe and Subregional Volumetric Alterations Across Alzheimer's Disease, Amnestic Mild Cognitive Impairment, and Vascular Dementia: An MRI Volumetry Study.Brain sciences · 2026Article
22 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that includes cortex measurement. In cases where SBM is used to estimate cortical morphology, it remains controversial as to whether VBM should be used in addition to estimate GM volume. Therefore, this review has two main goals. First, we summarize the differences between the two methods regarding preprocessing, statistical analysis, and reliability. Second, we review studies that estimate cortical morphological changes using VBM and/or SBM and discuss whether using VBM in conjunction with SBM produces additional values. We found cases in which detection of morphological change in either VBM or SBM was superior, and others that showed equivalent performance between the two methods. Therefore, we concluded that using VBM and SBM together can help researchers and clinicians obtain a better understanding of normal neurobiological processes of the brain. Moreover, the use of both methods may improve the accuracy of the detection of morphological changes when comparing the data of patients and controls.In addition, we introduce two other recent methods as future directions for estimating cortical morphological changes: a multi-modal parcellation method using structural and functional images, and a synthetic segmentation method using multi-contrast images (such as T1- and proton density-weighted images).
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