ArticleEuropean journal of neurology2016
Cortical sensorimotor alterations classify clinical phenotype and putative genotype of spasmodic dysphonia.
Article in European journal of neurology, 2016. 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 41 papers, 2 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.
Imaging Genetics of Laryngeal Dystonia
Central Mechanisms and Treatment Response of Sodium Oxybate in Spasmodic Dysphonia and Voice Tremor
Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- Structural and functional brain alterations in laryngeal dystonia: A coordinate-based activation likelihood estimation meta-analysis.Human brain mapping · 2024Pooled it
- Altered brain connectivity in hyperkinetic movement disorders: A review of resting-state fMRI.NeuroImage. Clinical · 2023Pooled it
- A novel therapeutic agent, sodium oxybate, improves dystonic symptoms via reduced network-wide activity.Scientific reports · 2018Trial
- Connectome-Wide Phenotypical and Genotypical Associations in Focal Dystonia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Trial
- Characterization of brain microstructural abnormalities in spasmodic dysphonia using diffusion kurtosis imaging.Scientific reports · 2025Article
- 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
- Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025Article
- Temporal Signature of Task-Specificity in Isolated Focal Laryngeal Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2023Article
- Clinical Implications of Dystonia as a Neural Network Disorder.Advances in neurobiology · 2023Review
- Temporal specificity of abnormal neural oscillations during phonatory events in laryngeal dystonia.Brain communications · 2022Article
- Laryngeal Dystonia: Multidisciplinary Update on Terminology, Pathophysiology, and Research Priorities.Neurology · 2021Review
- Functional connectivity of the motor system in dystonia due to PKAN.eNeurologicalSci · 2021Article
- Dystonia Management: What to Expect From the Future? The Perspectives of Patients and Clinicians Within DystoniaNet Europe.Frontiers in neurology · 2021Review
- Deep Learning for the Assisted Diagnosis of Movement Disorders, Including Isolated Dystonia.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
- Hyperactive sensorimotor cortex during voice perception in spasmodic dysphonia.Scientific reports · 2020Article
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 2 institutions in 1 country.
Funding
Abstract
background and purposeSpasmodic dysphonia (SD), or laryngeal dystonia, is a task-specific isolated focal dystonia of unknown causes and pathophysiology. Although functional and structural abnormalities have been described in this disorder, the influence of its different clinical phenotypes and genotypes remains scant, making it difficult to explain SD pathophysiology and to identify potential biomarkers.
methodsWe used a combination of independent component analysis and linear discriminant analysis of resting-state functional magnetic resonance imaging data to investigate brain organization in different SD phenotypes (abductor versus adductor type) and putative genotypes (familial versus sporadic cases) and to characterize neural markers for genotype/phenotype categorization.
resultsWe found abnormal functional connectivity within sensorimotor and frontoparietal networks in patients with SD compared with healthy individuals as well as phenotype- and genotype-distinct alterations of these networks, involving primary somatosensory, premotor and parietal cortices. The linear discriminant analysis achieved 71% accuracy classifying SD and healthy individuals using connectivity measures in the left inferior parietal and sensorimotor cortices. When categorizing between different forms of SD, the combination of measures from the left inferior parietal, premotor and right sensorimotor cortices achieved 81% discriminatory power between familial and sporadic SD cases, whereas the combination of measures from the right superior parietal, primary somatosensory and premotor cortices led to 71% accuracy in the classification of adductor and abductor SD forms.
conclusionsOur findings present the first effort to identify and categorize isolated focal dystonia based on its brain functional connectivity profile, which may have a potential impact on the future development of biomarkers for this rare disorder.
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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.