ArticleBiological cybernetics2015
A multifactorial conceptual model of peripheral neuromusculoskeletal predisposing factors in task-specific focal hand dystonia in musicians: etiologic and therapeutic implications.
Article in Biological cybernetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Video-based diagnosis support system for pianists with Musician's dystonia.Frontiers in neurology · 2024Article
- Intact finger representation within primary sensorimotor cortex of musician's dystonia.Brain : a journal of neurology · 2023Article
- Is Behavioural Therapy a New Treatment Option for Task-Specific Dystonia in Athletes? A Case Series.Tremor and other hyperkinetic movements (New York, N.Y.) · 2023Article
- Prevalence of the Linburg-Comstock variation through clinical evaluation.Surgical and radiologic anatomy : SRA · 2019Article
- Resting-state basal ganglia network codes a motor musical skill and its disruption From dystonia.Movement disorders : official journal of the Movement Disorder Society · 2018Article
- A unifying motor control framework for task-specific dystonia.Nature reviews. Neurology · 2018Review
- Focal task specific dystonia: a review and update.Journal of neurology · 2017Review
- Research Priorities in Limb and Task-Specific Dystonias.Frontiers in neurology · 2017Review
- Is failed predictive control a risk factor for focal dystonia?Movement disorders : official journal of the Movement Disorder Society · 2016Review
- Losing dexterity: patterns of impaired coordination of finger movements in musician's dystonia.Scientific reports · 2015Article
- Differences in active range of motion measurements in the upper extremity of patients with writer's cramp compared with healthy controls.Journal of hand therapy : official journal of the American Society of Hand TherapistsArticle
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
A model is presented showing how peripheral factors may cause a process of movement adaptation that leads to task-specific focal hand dystonia in musicians (FHDM). To acquire a playing technique, the hand must find effective and physiologically sustainable movements within a complex set of functional demands and anatomic, ergonomic, and physiological constraints. In doing so, individually discriminating constraints may become effective, such as limited anatomic independence of finger muscles/tendons, limited joint ranges of motion, or (subclinical) neuromusculoskeletal defects. These factors may, depending on the instrument-specific playing requirements, compromise or exclude functional playing movements. The controller (i.e., the brain) then needs to develop alternative motions to execute the task, which is called compensation. We hypothesize that, if this compensation process does not converge to physiologically sustainable muscle activation patterns that satisfy all constraints, compensation could increase indefinitely under the pressure of practice. Dystonic symptoms would become manifest when overcompensation occurs, resulting in motor patterns that fail in proper task execution. The model presented in this paper only concerns the compensatory processes preceding such overcompensations and does not aim to explain the nature of the dystonic motions themselves. While the model considers normal learning processes in the development of compensations, neurological predispositions could facilitate developing overcompensations or further abnormal motor programs. The model predicts that if peripheral factors are involved, FHDM symptoms would be preceded by long-term gradual changes in playing movements, which could be validated by prospective studies. Furthermore, the model implies that treatment success might be enhanced by addressing the conflict between peripheral factors and playing tasks before decompensating/retraining the affected movements.
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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.