ArticleNMR in biomedicine2020
Covarying structural alterations in laterality of the temporal lobe in schizophrenia: A case for source-based laterality.
Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural covariance networks in schizophrenia: A systematic review Part I.Schizophrenia research · 2022Pooled it
- Source-based morphometry analyses yield associations between large-scale structural brain networks and psychopathic traits in incarcerated adolescents.Frontiers in psychology · 2026Article
- Incarcerated adolescents scoring high on the Brown Attention-Deficit Disorder Scale are characterized by impairments within brain regions associated with executive control: A source-based morphometry study.Psychiatry research. Neuroimaging · 2025Article
- Patterns of Impaired Neurocognitive Performance on the Global Neuropsychological Assessment, and Their Brain Structural Correlates in Recent-onset and Chronic Schizophrenia.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023Article
- Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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Authors and funding
16 authors.
Funding
Abstract
The human brain is asymmetrically lateralized for certain functions (such as language processing) to regions in one hemisphere relative to the other. Asymmetries are measured with a laterality index (LI). However, traditional LI measures are limited by a lack of consensus on metrics used for its calculation. To address this limitation, source-based laterality (SBL) leverages an independent component analysis for the identification of laterality-specific alterations, identifying covarying components between hemispheres across subjects. SBL is successfully implemented with simulated data with inherent differences in laterality. SBL is then compared with a voxel-wise analysis utilizing structural data from a sample of patients with schizophrenia and controls without schizophrenia. SBL group comparisons identified three distinct temporal regions and one cerebellar region with significantly altered laterality in patients with schizophrenia relative to controls. Previous work highlights reductions in laterality (ie, reduced left gray matter volume) in patients with schizophrenia compared with controls without schizophrenia. Results from this pilot SBL project are the first, to our knowledge, to identify covarying laterality differences within discrete temporal brain regions. The authors argue SBL provides a unique focus to detect covarying laterality differences in patients with schizophrenia, facilitating the discovery of laterality aspects undetected in previous work.
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