ArticleFrontiers in neurology2018
Functional Connectivity Alterations Reveal Complex Mechanisms Based on Clinical and Radiological Status in Mild Relapsing Remitting Multiple Sclerosis.
Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 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
- An automated pipeline for obtaining labeled ICA-templates corresponding to functional brain systems.Human brain mapping · 2023Article
- Brain Under Fatigue - Can Perceived Fatigability in Multiple Sclerosis Be Seen on the Level of Functional Brain Network Architecture?Frontiers in human neuroscience · 2022Article
- Automated Classification of Resting-State fMRI ICA Components Using a Deep Siamese Network.Frontiers in neuroscience · 2022Article
- Increased functional sensorimotor network efficiency relates to disability in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2021Article
- Mind the gap: from neurons to networks to outcomes in multiple sclerosis.Nature reviews. Neurology · 2021Review
- Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis.Brain imaging and behavior · 2021Article
- Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study.Brain sciences · 2021Article
- Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?Brain communications · 2021Article
- Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p.Frontiers in cellular neuroscience · 2021Article
- Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS.BMC neuroscience · 2020Article
- Cortical topological network changes following optic neuritis.Neurology(R) neuroimmunology & neuroinflammation · 2020Article
- Robustness of Brain Structural Networks Is Affected in Cognitively Impaired MS Patients.Frontiers in neurology · 2020Article
- Should We Use Clinical Tools to Identify Disease Progression?Frontiers in neurology · 2020Review
- Both Stationary and Dynamic Functional Interhemispheric Connectivity Are Strongly Associated With Performance on Cognitive Tests in Multiple Sclerosis.Frontiers in neurology · 2020Article
- Cognitive Impairment and Brain Reorganization in MS: Underlying Mechanisms and the Role of Neurorehabilitation.Frontiers in neurology · 2020Review
- Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis.Frontiers in cellular neuroscience · 2019Article
- Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis.Frontiers in neuroscience · 2019Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resting state functional MRI (rs-fMRI) has provided important insights into functional reorganization in subjects with Multiple Sclerosis (MS) at different stage of disease. In this cross-sectional study we first assessed, by means of rs-fMRI, the impact of overall T2 lesion load (T2LL) and MS severity score (MSSS) on resting state networks (RSNs) in 62 relapsing remitting MS (RRMS) patients with mild disability (MSSS < 3). Independent Component Analysis (ICA) followed by dual regression analysis confirmed functional connectivity (FC) alterations of many RSNs in RRMS subjects compared to healthy controls. The anterior default mode network (DMNa) and the superior precuneus network (PNsup) showed the largest areas of decreased FC, while the sensory motor networks area M1 (SMNm1) and the medial visual network (MVN) showed the largest areas of increased FC. In order to better understand the nature of these alterations as well as the mechanisms of functional alterations in MS we proposed a method, based on linear regression, that takes into account FC changes and their correlation with T2LL and MSSS. Depending on the sign of the correlation between FC and T2LL, and furthermore the sign of the correlation with MSSS, we suggested the following possible underlying mechanisms to interpret altered FC: (1) FC reduction driven by MS lesions, (2) "true" functional compensatory mechanism, (3a) functional compensation attempt, (3b) "false" functional compensation, (4a) neurodegeneration, (4b) pre-symptomatic condition (damage precedes MS clinical manifestation). Our data shows areas satisfying 4 of these 6 conditions (i.e., 1,2,3b,4b), supporting the suggestion that increased FC has a complex nature that may exceed the simplistic assumption of an underlying compensatory mechanism attempting to limit the brain damage caused by MS progression. Exploring differences between RRMS subjects with short disease duration (MS
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