ArticleFrontiers in neuroscience2022
Increased functional connectivity of white-matter in myotonic dystrophy type 1.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Cognitive decline over time in myotonic dystrophy type 1: a systematic review of longitudinal studies.Frontiers in neurology · 2026Pooled it
- Theory of Mind in Myotonic Dystrophy Type 1 Is Associated With Cortical Gyrification and White Matter Hyperintensities.European journal of neurology · 2025Article
- WhiFuN: A toolbox to map the white matter functional networks of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The Role of Brain Plasticity in Neuromuscular Disorders: Current Knowledge and Future Prospects.Brain sciences · 2024Review
- Neurocognitive disorder in Myotonic dystrophy type 1.Heliyon · 2024Article
- Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Changes in white matter functional networks across late adulthood.Frontiers in aging neuroscience · 2023Article
- Hyperconnectivity in resting-state fMRI as a marker of disease severity in Myotonic Dystrophy Type 1.Journal of neuromuscular diseasesArticle
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Myotonic dystrophy type 1 (DM1) is the most common and dominant inherited neuromuscular dystrophy disease in adults, involving multiple organs, including the brain. Although structural measurements showed that DM1 is predominantly associated with white-matter damage, they failed to reveal the dysfunction of the white-matter. Recent studies have demonstrated that the functional activity of white-matter is of great significance and has given us insights into revealing the mechanisms of brain disorders. Materials and methods: Using resting-state fMRI data, we adopted a clustering analysis to identify the white-matter functional networks and calculated functional connectivity between these networks in 16 DM1 patients and 18 healthy controls (HCs). A two-sample Results: We identified 13 white-matter functional networks by clustering analysis. These white-matter functional networks can be divided into a three-layer network (superficial, middle, and deep) according to their spatial distribution. Compared to HCs, DM1 patients showed increased FC within intra-layer white-matter and inter-layer white-matter networks. For intra-layer networks, the increased FC was mainly located in the inferior longitudinal fasciculus, prefrontal cortex, and corpus callosum networks. For inter-layer networks, the increased FC of DM1 patients is mainly located in the superior corona radiata and deep networks. Conclusion: Results demonstrated the abnormalities of white-matter functional connectivity in DM1 located in both intra-layer and inter-layer white-matter networks and suggested that the pathophysiology mechanism of DM1 may be related to the white-matter functional dysconnectivity. Furthermore, it may facilitate the treatment development of DM1.
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