2010
DOI: 10.1177/0883073810371828
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Visual Feedback Reduces Co-contraction in Children With Dystonia

Abstract: Inappropriate muscle activation and co-contraction are important features in childhood dystonia, and clinical interventions are often targeted to reduce the excess muscle activation. Previous research has shown that visual biofeedback of muscle activity can help people to reduce excess muscle activation in a variety of motor disorders. To investigate the effectiveness of similar techniques for dystonia, we had participants perform a tracking task with and without visual feedback of co-contraction. Children wit… Show more

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Cited by 33 publications
(28 citation statements)
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“…77 Two recent studies investigated the effectiveness of visual biofeedback of hand muscle activity in children with dystonia. 37,78 Children with dystonia significantly reduced their co-contraction, as well as their overflow of the non-task muscle activity when visual feedback was provided. These results indicate that children with dystonia are at least partially able to control co-contraction and reduce overflow.…”
Section: Interventionmentioning
confidence: 95%
“…77 Two recent studies investigated the effectiveness of visual biofeedback of hand muscle activity in children with dystonia. 37,78 Children with dystonia significantly reduced their co-contraction, as well as their overflow of the non-task muscle activity when visual feedback was provided. These results indicate that children with dystonia are at least partially able to control co-contraction and reduce overflow.…”
Section: Interventionmentioning
confidence: 95%
“…Additional file 6 provides an overview of studies used an instrumented method assessing the effects of an intervention (e.g. physical exercise [43], biofeedback [47,64,71,76] splints [57], deep brain stimulation [62], botulinum Toxin Type B [63], different seating types [66,80] and transcranial direct current stimulation [72][73][74].…”
Section: Assessment Of Methodological Qualitymentioning
confidence: 99%
“…(d) sEMG was also used to assess voluntary muscle activation to control tracking games on a (computer) screen e.g. tracking a target by activating biceps and triceps [47], keeping an indicator in a central position by biceps activation [43], control of position and movement of a line by left and right biceps activation [64] or tracking a target by isometrically activating intrinsic muscles [71][72][73][74].…”
Section: Movement Functionsmentioning
confidence: 99%
“…The previous work provides evidence (in the form of comparing signal-to-noise ratios and graphs of force and various filtered EMG outputs) that Bayesian filtering improves the estimation of torque. This algorithm has been used in studies of biofeedback (Bloom et al 2010) and motor control (Young et al 2011(Young et al , 2014. While one might expect the higher signal-to-noise ratio of the Bayesian filter (Sanger 2007) to translate into better control, it cannot be assumed that subjects will make appropriate use of the filtering method, nor can we determine a priori whether the magnitude of the improvement will be sufficient to have a significant effect on performance.…”
Section: Introductionmentioning
confidence: 99%