ArticleNeurology(R) neuroimmunology & neuroinflammation2021
Network Damage Predicts Clinical Worsening in Multiple Sclerosis: A 6.4-Year Study.
Article in Neurology(R) neuroimmunology & neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Disrupted and reorganized connectivity of brain networks in multiple sclerosis: a systematic review and meta-analysis of resting-state functional MRI.Journal of neurology · 2026Pooled it
- Functional connectivity changes are associated with disability progression in multiple sclerosis: a longitudinal fMRI study.Journal of neurology · 2025Article
- Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study.Pilot and feasibility studies · 2024Article
- 2.5-Year changes of connectivity dynamism are relevant for physical and cognitive deterioration in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Prognostic value of single-subject grey matter networks in early multiple sclerosis.Brain : a journal of neurology · 2024Article
- Prognostic relevance of MRI in early relapsing multiple sclerosis: ready to guide treatment decision making?Therapeutic advances in neurological disorders · 2024Review
- Functional and structural brain MRI changes associated with cognitive worsening in multiple sclerosis: a 3-year longitudinal study.Journal of neurology · 2023Article
- Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative.Journal of neurology · 2023Article
- An investigation of the association between focal damage and global network properties in cognitively impaired and cognitively preserved patients with multiple sclerosis.Frontiers in neuroscience · 2023Article
- Multiple sclerosis clinical forms classification with graph convolutional networks based on brain morphological connectivity.Frontiers in neuroscience · 2023Article
- Sensorimotor network dynamics predict decline in upper and lower limb function in people with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Article
- Slowly Expanding Lesions Predict 9-Year Multiple Sclerosis Disease Progression.Neurology(R) neuroimmunology & neuroinflammation · 2022Article
- Neural Processes of Psychological Stress and Relaxation Predict the Future Evolution of Quality of Life in Multiple Sclerosis.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn multiple sclerosis (MS), clinical impairment is likely due to both structural damage and abnormal brain function. We assessed the added value of integrating structural and functional network MRI measures to predict 6.4-year MS clinical disability deterioration.
methodsBaseline 3D T1-weighted and resting-state functional MRI scans were obtained from 233 patients with MS and 77 healthy controls. Patients underwent a neurologic evaluation at baseline and at 6.4-year median follow-up (interquartile range = 5.06-7.51 years). At follow-up, patients were classified as clinically stable/worsened according to disability changes. In relapsing-remitting (RR) MS, secondary progressive (SP) MS conversion was evaluated. Global brain volumetry was obtained. Furthermore, independent component analysis identified the main functional connectivity (FC) and gray matter (GM) network patterns.
resultsAt follow-up, 105/233 (45%) patients were clinically worsened; 26/157 (16%) patients with RRMS evolved to SPMS. The treatment-adjusted random forest model identified normalized GM and brain volumes, decreased FC between default-mode networks, increased FC of the left precentral gyrus in the sensorimotor network (SMN), and GM atrophy in the fronto-parietal network (false discovery rate [FDR]-corrected
conclusionsIntegration of MRI network measures helped determining the relative contributions of global/local GM damage and functional reorganization to clinical deterioration in MS.
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Registered trials
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