ReviewFrontiers in neurology2018
Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.
Review 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 46 papers, 3 of them syntheses that pooled it.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review and meta-analysis of the impact of transcranial electrical stimulation (TES) on cognitive dysfunction in patients with multiple sclerosis.Neurodegenerative disease management · 2026Pooled it
- Neuroplasticity and Motor Rehabilitation in Multiple Sclerosis: A Systematic Review on MRI Markers of Functional and Structural Changes.Frontiers in neuroscience · 2021Pooled it
- Localised grey matter atrophy in multiple sclerosis is network-based: a coordinate-based meta-analysis.Clinical radiology · 2019Pooled it
- Repeated prefrontal tDCS for improving mental health and cognitive deficits in multiple sclerosis: a randomized, double-blind, parallel-group study.Journal of translational medicine · 2024Trial
- PET-MRI effects of N-acetylcysteine in patients with multiple sclerosis.IBRO neuroscience reports · 2026Article
- Exploring Links between Brain Image-Derived Phenotypes and Accelerometer-Measured Physical Activity in the UK Biobank.bioRxiv : the preprint server for biology · 2026Article
- Mild cognitive impairment impacts association of functional brain connectivity with cognition in older adults with and without multiple sclerosis.GeroScience · 2026Article
- Resting-state functional connectivity correlates of gait and turning performance in multiple sclerosis: a multivariate pattern analysis.Scientific reports · 2025Article
- Complexity of intrinsic brain activity in relapsing-remitting multiple sclerosis patients: patterns, association with structural damage, and clinical disability.La Radiologia medica · 2025Observational
- Associations between connectivity in functional brain networks and gait speed in older adults with and without multiple sclerosis.Journal of neurology · 2025Article
- System-level hypothesis of dopamine imbalance in early multiple sclerosis.Frontiers in neurology · 2025Article
- Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review.Journal of neurology · 2024Review
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Brain network topology and its cognitive impact in adult glioma survivors.Scientific reports · 2024Article
- The Relationship Between Cortical Morphological and Functional Topological Properties and Clinical Manifestations in Patients with Posttraumatic Diffuse Axonal Injury: An Individual Brain Network Study.Brain topography · 2023Article
- Article
- Classification of multiple sclerosis women with voiding dysfunction using machine learning: Is functional connectivity or structural connectivity a better predictor?BJUI compass · 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
- Clinical-Radiological Mismatch in Multiple Sclerosis Patients during Acute Relapse: Discrepancy between Clinical Symptoms and Active, Topographically Fitting MRI Lesions.Journal of clinical medicine · 2023Article
- Differences in resting state functional connectivity relative to multiple sclerosis and impaired information processing speed.Frontiers in neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central nervous system. Because of the high variability of the lesion patterns between patients, it is difficult to relate existing biomarkers to symptoms and their progression. The scattered nature of lesions in multiple sclerosis offers itself to be studied through the lens of network analyses. Recent research into multiple sclerosis has taken such a network approach by making use of functional connectivity. In this review, we briefly introduce measures of functional connectivity and how to compute them. We then identify several common observations resulting from this approach: (a) high likelihood of altered connectivity in deep-gray matter regions, (b) decrease of brain modularity, (c) hemispheric asymmetries in connectivity alterations, and (d) correspondence of behavioral symptoms with task-related and task-unrelated networks. We propose incorporating such connectivity analyses into longitudinal studies in order to improve our understanding of the underlying mechanisms affected by multiple sclerosis, which can consequently offer a promising route to individualizing imaging-related biomarkers for multiple sclerosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.