Trial reportThe Journal of neuroscience : the official journal of the Society for Neuroscience2017
Connectome-Wide Phenotypical and Genotypical Associations in Focal Dystonia.
Trial report in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 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.
Brain Networks in Dystonia
Imaging Genetics of Laryngeal Dystonia
Who cites it
23 citing papers in PubMed, 31 citations in OpenAlex.
- Abnormal Brain Iron Metabolism is Linked to Altered Neural Function in Isolated Laryngeal Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Neurobiology of Dystonia: Review of Genetics, Animal Models, and Neuroimaging.Brain sciences · 2025Review
- Brain functional network topology and connectivity in primary blepharospasm.Frontiers in systems neuroscience · 2025Article
- Disordered network structure and function in dystonia: pathological connectivity vs. adaptive responses.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Graph-theoretical insights into the effects of aging on the speech production network.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Parkinson's disease speech production network as determined by graph-theoretical network analysis.Network neuroscience (Cambridge, Mass.) · 2023Article
- Clinical Implications of Dystonia as a Neural Network Disorder.Advances in neurobiology · 2023Review
- Short- and Long-term Central Action of Botulinum Neurotoxin Treatment in Laryngeal Dystonia.Neurology · 2022Article
- Laryngeal Dystonia: Multidisciplinary Update on Terminology, Pathophysiology, and Research Priorities.Neurology · 2021Review
- Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis.Frontiers in neurology · 2021Article
- Neural endophenotypes and predictors of laryngeal dystonia penetrance and manifestation.Neurobiology of disease · 2021Article
- Neural Representations of the Voice Tremor Spectrum.Movement disorders : official journal of the Movement Disorder Society · 2020Article
- A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Regional, not global, functional connectivity contributes to isolated focal dystonia.Neurology · 2020Article
- The large-scale structural connectome of task-specific focal dystonia.Human brain mapping · 2020Article
- Defining research priorities in dystonia.Neurology · 2020Review
- Top-down alteration of functional connectivity within the sensorimotor network in focal dystonia.Neurology · 2019Article
- Functional and structural neural bases of task specificity in isolated focal dystonia.Movement disorders : official journal of the Movement Disorder Society · 2019Article
- Task-specificity in focal dystonia is shaped by aberrant diversity of a functional network kernel.Movement disorders : official journal of the Movement Disorder Society · 2018Article
- Connectivity profiles of the insular network for speech control in healthy individuals and patients with spasmodic dysphonia.Brain structure & function · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Isolated focal dystonia is a debilitating movement disorder of unknown pathophysiology. Early studies in focal dystonias have pointed to segregated changes in brain activity and connectivity. Only recently has the notion that dystonia pathophysiology may lie in abnormalities of large-scale brain networks appeared in the literature. Here, we outline a novel concept of functional connectome-wide alterations that are linked to dystonia phenotype and genotype. Using a neural community detection strategy and graph theoretical analysis of functional MRI data in human patients with the laryngeal form of dystonia (LD) and healthy controls (both males and females), we identified an abnormally widespread hub formation in LD, which particularly affected the primary sensorimotor and parietal cortices and thalamus. Left thalamic regions formed a delineated functional community that highlighted differences in network topology between LD patients with and without family history of dystonia. Conversely, marked differences in the topological organization of parietal regions were found between phenotypically different forms of LD. The interface between sporadic genotype and adductor phenotype of LD yielded four functional communities that were primarily governed by intramodular hub regions. Conversely, the interface between familial genotype and abductor phenotype was associated with numerous long-range hub nodes and an abnormal integration of left thalamus and basal ganglia. Our findings provide the first comprehensive atlas of functional topology across different phenotypes and genotypes of focal dystonia. As such, this study constitutes an important step toward defining dystonia as a large-scale network disorder, understanding its causative pathophysiology, and identifying disorder-specific markers.
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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.