ArticleAnnals of clinical and translational neurology2020
Gray matter network reorganization in multiple sclerosis from 7-Tesla and 3-Tesla MRI data.
Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Reduced Gray-White Matter Contrast in Chronic Posttraumatic Stress Disorder in World Trade Center Responders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders.Brain : a journal of neurology · 2025Review
- Prognostic value of single-subject grey matter networks in early multiple sclerosis.Brain : a journal of neurology · 2024Article
- Graph theoretical approach to brain remodeling in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2023Article
- Analysis of the extent of limbic system changes in multiple sclerosis using FreeSurfer and voxel-based morphometry approaches.PloS one · 2022Article
- Sex-specific signatures of intrinsic hippocampal networks and regional integrity underlying cognitive status in multiple sclerosis.Brain communications · 2021Article
- Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?Brain communications · 2021Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe objective of this study was to determine the ability of 7T-MRI for characterizing brain tissue integrity in early relapsing-remitting MS patients compared to conventional 3T-MRI and to investigate whether 7T-MRI improves the performance for detecting cortical gray matter neurodegeneration and its associated network reorganization dynamics.
methodsSeven early relapsing-remitting MS patients and seven healthy individuals received MRI at 7T and 3T, whereas 30 and 40 healthy controls underwent separate 3T- and 7T-MRI sessions, respectively. Surface-based cortical thickness (CT) and gray-to-white contrast (GWc) measures were used to model morphometric networks, analyzed with graph theory by means of modularity, clustering coefficient, path length, and small-worldness.
results7T-MRI had lower CT and higher GWc compared to 3T-MRI in MS. CT and GWc measures robustly differentiated MS from controls at 3T-MRI. 7T- and 3T-MRI showed high regional correspondence for CT (r = 0.72, P = 2e-78) and GWc (r = 0.83, P = 5.5e-121) in MS patients. MS CT and GWc morphometric networks at 7T-MRI showed higher modularity, clustering coefficient, and small-worldness than 3T, also compared to controls.
interpretation7T-MRI allows to more precisely quantify morphometric alterations across the cortical mantle and captures more sensitively MS-related network reorganization. Our findings open new avenues to design more accurate studies quantifying brain tissue loss and test treatment effects on tissue repair.
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