ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022
Cortical and white matter lesion topology influences focal corpus callosum atrophy in multiple sclerosis.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Elevated Corpus Callosum T1rho Reflects Disease Burden and Structural Atrophy in Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2026Article
- Smoldering neuroinflammation in progressive multiple sclerosis: mechanisms, imaging biomarkers, and therapeutic opportunities.Frontiers in immunology · 2026Review
- Review
- Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures.Journal of clinical medicine · 2024Article
- Cortical and white matter lesion topology influences focal corpus callosum atrophy in multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
background and purposeCorpus callosum (CC) atrophy is a strong predictor of multiple sclerosis (MS) disability but the contributing pathological mechanisms remain uncertain. We aimed to apply advanced MRI to explore what drives the often nonuniform callosal atrophy.
methodsProspective brain 7 Tesla and 3 Tesla Human Connectom Scanner MRI were performed in 92 MS patients. White matter, leukocortical, and intracortical lesions were manually segmented. FreeSurfer was used to segment the CC and topographically classify lesions per lobe or as deep white matter lesions. Regression models were calculated to predict focal CC atrophy.
resultsThe frontal and parietal lobes contained the majority (≥80%) of all lesion classifications in both relapsing-remitting and secondary progressive MS subtypes. The anterior subsection of the CC had the smallest proportional volume difference between subtypes (11%). Deep, temporal, and occipital white matter lesions, and occipital intracortical lesions were the strongest predictors of middle-posterior callosal atrophy (adjusted R
conclusionsBoth white matter and cortical lesions contribute to regional corpus callosal atrophy. The lobe-specific lesion topology does not fully explain the inhomogeneous CC atrophy.
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Registered trials
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