Conventional MRI-Based Structural Disconnection and Morphometric Similarity Networks and Their Clinical Correlates in Multiple Sclerosis

Neurology, Journal Year: 2025, Volume and Issue: 104(4)

Published: Jan. 23, 2025

Although multiple sclerosis (MS) can be conceptualized as a network disorder, brain analyses typically require advanced MRI sequences not commonly acquired in clinical practice. Using conventional MRI, we assessed cross-sectional and longitudinal structural disconnection morphometric similarity networks people with MS (pwMS), along their relationship disability. In this monocentric study, 3T of pwMS healthy controls (HC) was retrospectively analyzed. Physical cognitive disabilities were the expanded disability status scale (EDSS) symbol digit modalities test (SDMT), respectively. Demyelinating lesions automatically segmented, corresponding masks used to assess pairwise between atlas-defined regions based on normative tractography data. Morphometric Inverse Divergence method, computed cortical FreeSurfer surface reconstruction. network-based statistics (NBS) its extension NBS-predict, tested whether subject-level connectomes associated disease status, progression, disability, long-term confirmed progression (CDP), independently from global lesion burden atrophy. We studied 461 (age = 37.2 ± 10.6 years, F/M 324/137), 1,235 visits (mean follow-up time 1.9 2.0 range 0.1-13.3 years), 55 HC 42.4 15.7 years; 25/30). Long-term available for 285 12.4 2.8 127 whom (44.6%) exhibited CDP. At baseline, mostly centered around thalami sensory association hubs, while extensively disrupted (pFWE < 0.01). EDSS related frontothalamic 0.01) left perisylvian cortex 0.02), SDMT cortico-subcortical hemisphere Longitudinally, both disruption significantly progressed 0.04 pFWE 0.01), correlating increase (ρ 0.07, p 0.02 ρ 0.11, 0.001), baseline predicted CDP (accuracy 59% [58-60], 0.03). Structural networks, through are sensitive MS-related damage progression. They explain disease-related predict evolution atrophy, potentially adding established measures biomarkers severity

Language: Английский

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Is There Truly No Progression in NMOSD and MOGAD?

Multiple Sclerosis and Related Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 106300 - 106300

Published: Jan. 1, 2025

Language: Английский

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Mapping Structural Disconnection and Morphometric Similarity Alterations in Multiple Sclerosis

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract Whilst multiple sclerosis (MS) can be conceptualized as a network disorder, brain analyses are typically dependent on advanced MRI sequences not commonly acquired in clinical practice. Here, we used conventional to assess cross-sectional and longitudinal modifications of structural disconnection morphometric similarity networks people with MS (pwMS), along their relationship disability. In this monocentric study, 3T scans pwMS healthy controls (HC) were retrospectively analysed. Physical cognitive disabilities assessed the expanded disability status scale (EDSS) symbol digit modalities test (SDMT), respectively. Demyelinating lesions automatically segmented 3D-T1w FLAIR images and, based normative tractography data, corresponding masks compute pairwise between atlas-defined regions (100 cortical 14 subcortical). Using Morphometric Inverse Divergence (MIND) method, built matrices FreeSurfer surface reconstruction. network-based statistics (NBS) its prediction-based extension NBS-predict, tested whether subject-level connectomes associated disease status, progression, disability, long-term confirmed progression (CDP), independently from global lesion burden atrophy. The coupling was at different scales. We studied 461 (age 37.2±10.6 years, F/M 324/137), 1235 visits (mean follow-up time 1.9±2.0 range 0.1-13.3 years), 55 HC 42.4±15.7 years; 25/30). Long-term available for 285 12.4±2.8 127 whom (44.6%) exhibited CDP. At baseline, mostly centered around thalami sensory association hubs, while extensively disrupted ( p FWE <0.01). EDSS related fronto-thalamic <0.01) left perisylvian cortex 0.02), whilst SDMT cortico-subcortical hemisphere Longitudinally, both disruption significantly progressed 0.04 <0.01), correlating increase (rho 0.07, 0.02 rho 0.11, <0.001), baseline predicted CDP nearly 60% accuracy 0.03). On average, positively edge 0.18, <0.001) node 0.16, levels. Structural networks, through MRI, sensitive MS-related damage progression. They explain disease-related predict evolution atrophy, potentially adding established measures biomarkers severity

Language: Английский

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Associations of depression and perceived physical fatigability with white matter integrity in older adults

Psychiatry Research Neuroimaging, Journal Year: 2024, Volume and Issue: 340, P. 111793 - 111793

Published: Feb. 10, 2024

Language: Английский

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