ReviewInternational journal of molecular sciences2019
Modeling Resilience to Damage in Multiple Sclerosis: Plasticity Meets Connectivity.
Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05811013 (Effects of Transcranial Static Magnetic Field Stimulation), which is not on this map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Effects of Transcranial Static Magnetic Field Stimulation (tSMS) in Progressive Multiple Sclerosis
Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Multi-compartment Myelin Streamline Decomposition reveals tract-specific and global brain network myelination in Multiple Sclerosis.Neuroimage. Reports · 2026Article
- From Phenotypes to Spectrum: Rethinking RRMS, SPMS and PPMS in the Era of PIRA-A Framework Integrating PIRA, Smouldering-Associated Worsening, and Neurologic Reserve to Facilitate Earlier Recognition of Progression.Neurology international · 2026Review
- RegenerativeAesthetic plastic surgery · 2025Article
- Disease-Modifying Symptomatic Treatment (DMST) Potential of Cannabinoids in Patients with Multiple Sclerosis.Current neuropharmacology · 2025Review
- Hub overload and failure as a final common pathway in neurological brain network disorders.Network neuroscience (Cambridge, Mass.) · 2024Review
- Cytokines, synaptic plasticity and network dynamics: a matter of balance.Neural regeneration research · 2023Review
- Molecular Mechanisms of Synaptic Plasticity: Dynamic Changes in Neuron Functions.International journal of molecular sciences · 2023Article
- Menopausal transition in multiple sclerosis: relationship with disease activity and brain volume measurements.Frontiers in neurology · 2023Article
- The Pathophysiology of Rett Syndrome With a Focus on Breathing Dysfunctions.Physiology (Bethesda, Md.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by demyelinating white matter lesions and neurodegeneration, with a variable clinical course. Brain network architecture provides efficient information processing and resilience to damage. The peculiar organization characterized by a low number of highly connected nodes (hubs) confers high resistance to random damage. Anti-homeostatic synaptic plasticity, in particular long-term potentiation (LTP), represents one of the main physiological mechanisms underlying clinical recovery after brain damage. Different types of synaptic plasticity, including both anti-homeostatic and homeostatic mechanisms (synaptic scaling), contribute to shape brain networks. In MS, altered synaptic functioning induced by inflammatory mediators may represent a further cause of brain network collapse in addition to demyelination and grey matter atrophy. We propose that impaired LTP expression and pathologically enhanced upscaling may contribute to disrupting brain network topology in MS, weakening resilience to damage and negatively influencing the disease course.
Indexed as
Identifiers
What OpenQuestion holds
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.