ReviewInternational journal of molecular sciences2015
Physiological Dynamics in Demyelinating Diseases: Unraveling Complex Relationships through Computer Modeling.
Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- The Hypothesis of Myelinodegeneration as an Initial Risk of Neuropathic Pain.Neuroscience bulletin · 2026Review
- Current status and future prospects of brain-computer interfaces in the field of neurological disease rehabilitation.Frontiers in rehabilitation sciences · 2026Review
- Axon collateralization and focal myelin dystrophy alter action potential propagation in multicompartment pyramidal neuron models.PLoS computational biology · 2025Article
- Mechanosensitive Piezo1 channel: an emerging target in demyelination disease.Frontiers in cellular neuroscience · 2025Review
- The Role of Phytochemicals in Managing Neuropathic Pain: How Much Progress Have We Made?Nutrients · 2024Review
- Article
- β-carbolines that enhance GABAFrontiers in cellular neuroscience · 2024Article
- Metabolic implications of axonal demyelination and its consequences for synchronized network activity: AnJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Myelin dystrophy in the aging prefrontal cortex leads to impaired signal transmission and working memory decline: a multiscale computational study.bioRxiv : the preprint server for biology · 2023Article
- From Reductionistic Approach to Systems Immunology Approach for the Understanding of Tumor Microenvironment.International journal of molecular sciences · 2023Review
- Review
- A scoping review of neurodegenerative manifestations in explainable digital phenotyping.NPJ Parkinson's disease · 2023Article
- Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience.Briefings in bioinformatics · 2023Article
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Evaluation of the response to electric pulp testing in multiple sclerosis patients without a history of trigeminal neuralgia: a case-control study.BMC neurology · 2021Article
- Extreme Glycemic Fluctuations Debilitate NRG1, ErbB Receptors and Olig1 Function: Association with Regeneration, Cognition and Mood Alterations During Diabetes.Molecular neurobiology · 2021Article
- Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging.Journal of neuroscience methods · 2021Review
- Theoretical and Therapeutic Implications of the Spasticity-Plus Syndrome Model in Multiple Sclerosis.Frontiers in neurology · 2021Article
- Iron Oxide Nanoparticles Affects Behaviour and Monoamine Levels in Mice.Neurochemical research · 2019Article
- A method to deliver patterned electrical impulses to Schwann cells cultured on an artificial axon.Neural regeneration research · 2019Article
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 at 3 institutions in 3 countries.
Funding
Abstract
Despite intense research, few treatments are available for most neurological disorders. Demyelinating diseases are no exception. This is perhaps not surprising considering the multifactorial nature of these diseases, which involve complex interactions between immune system cells, glia and neurons. In the case of multiple sclerosis, for example, there is no unanimity among researchers about the cause or even which system or cell type could be ground zero. This situation precludes the development and strategic application of mechanism-based therapies. We will discuss how computational modeling applied to questions at different biological levels can help link together disparate observations and decipher complex mechanisms whose solutions are not amenable to simple reductionism. By making testable predictions and revealing critical gaps in existing knowledge, such models can help direct research and will provide a rigorous framework in which to integrate new data as they are collected. Nowadays, there is no shortage of data; the challenge is to make sense of it all. In that respect, computational modeling is an invaluable tool that could, ultimately, transform how we understand, diagnose, and treat demyelinating diseases.
Indexed as
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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.