Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease

We investigated the effect of deep brain stimulation on dynamic balance during gait in Parkinson's disease with motion sensor measurements and predicted their values from disease-related factors. We recruited twenty patients with Parkinson's disease treated with bilateral subthalamic stimu...

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Main Authors: Andrea Kelemen, László Halász, Muthuraman Muthuraman, Loránd Erőss, Péter Barsi, Dénes Zádori, Bence Laczó, Dávid Kis, Péter Klivényi, Gábor Fekete, László Bognár, Dániel Bereczki, Gertrúd Tamás
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neurology
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Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.917187/full
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author Andrea Kelemen
László Halász
Muthuraman Muthuraman
Loránd Erőss
Péter Barsi
Dénes Zádori
Bence Laczó
Dávid Kis
Péter Klivényi
Gábor Fekete
László Bognár
Dániel Bereczki
Gertrúd Tamás
author_facet Andrea Kelemen
László Halász
Muthuraman Muthuraman
Loránd Erőss
Péter Barsi
Dénes Zádori
Bence Laczó
Dávid Kis
Péter Klivényi
Gábor Fekete
László Bognár
Dániel Bereczki
Gertrúd Tamás
author_sort Andrea Kelemen
collection DOAJ
description We investigated the effect of deep brain stimulation on dynamic balance during gait in Parkinson's disease with motion sensor measurements and predicted their values from disease-related factors. We recruited twenty patients with Parkinson's disease treated with bilateral subthalamic stimulation for at least 12 months and 24 healthy controls. Six monitors with three-dimensional gyroscopes and accelerometers were placed on the chest, the lumbar region, the two wrists, and the shins. Patients performed the instrumented Timed Up and Go test in stimulation OFF, stimulation ON, and right- and left-sided stimulation ON conditions. Gait parameters and dynamic balance parameters such as double support, peak turn velocity, and the trunk's range of motion and velocity in three dimensions were analyzed. Age, disease duration, the time elapsed after implantation, the Hoehn-Yahr stage before and after the operation, the levodopa, and stimulation responsiveness were reported. We individually calculated the distance values of stimulation locations from the subthalamic motor center in three dimensions. Sway values of static balance were collected. We compared the gait parameters in the OFF and stimulation ON states and controls. With cluster analysis and a machine-learning-based multiple regression method, we explored the predictive clinical factors for each dynamic balance parameter (with age as a confounder). The arm movements improved the most among gait parameters due to stimulation and the horizontal and sagittal trunk movements. Double support did not change after switching on the stimulation on the group level and did not differ from control values. Individual changes in double support and horizontal range of trunk motion due to stimulation could be predicted from the most disease-related factors and the severity of the disease; the latter also from the stimulation-related changes in the static balance parameters. Physiotherapy should focus on double support and horizontal trunk movements when treating patients with subthalamic deep brain stimulation.
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spelling doaj.art-374116975a724406a4fac846de0ca4002022-12-22T04:26:01ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-09-011310.3389/fneur.2022.917187917187Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's diseaseAndrea Kelemen0László Halász1Muthuraman Muthuraman2Loránd Erőss3Péter Barsi4Dénes Zádori5Bence Laczó6Dávid Kis7Péter Klivényi8Gábor Fekete9László Bognár10Dániel Bereczki11Gertrúd Tamás12Department of Neurology, Semmelweis University, Budapest, HungaryNational Institute of Clinical Neurosciences, Budapest, HungaryBiomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, University Medical Center of Johannes Gutenberg University Mainz, Mainz, GermanyNational Institute of Clinical Neurosciences, Budapest, HungaryDepartment of Neuroradiology, Medical Imaging Centre, Semmelweis University, Budapest, HungaryDepartment of Neurology, University of Szeged, Szeged, HungaryDepartment of Neurology, University of Szeged, Szeged, HungaryDepartment of Neurosurgery, University of Szeged, Szeged, HungaryDepartment of Neurology, University of Szeged, Szeged, HungaryDepartment of Neurosurgery, University of Debrecen, Debrecen, HungaryDepartment of Neurosurgery, University of Debrecen, Debrecen, HungaryDepartment of Neurology, Semmelweis University, Budapest, HungaryDepartment of Neurology, Semmelweis University, Budapest, HungaryWe investigated the effect of deep brain stimulation on dynamic balance during gait in Parkinson's disease with motion sensor measurements and predicted their values from disease-related factors. We recruited twenty patients with Parkinson's disease treated with bilateral subthalamic stimulation for at least 12 months and 24 healthy controls. Six monitors with three-dimensional gyroscopes and accelerometers were placed on the chest, the lumbar region, the two wrists, and the shins. Patients performed the instrumented Timed Up and Go test in stimulation OFF, stimulation ON, and right- and left-sided stimulation ON conditions. Gait parameters and dynamic balance parameters such as double support, peak turn velocity, and the trunk's range of motion and velocity in three dimensions were analyzed. Age, disease duration, the time elapsed after implantation, the Hoehn-Yahr stage before and after the operation, the levodopa, and stimulation responsiveness were reported. We individually calculated the distance values of stimulation locations from the subthalamic motor center in three dimensions. Sway values of static balance were collected. We compared the gait parameters in the OFF and stimulation ON states and controls. With cluster analysis and a machine-learning-based multiple regression method, we explored the predictive clinical factors for each dynamic balance parameter (with age as a confounder). The arm movements improved the most among gait parameters due to stimulation and the horizontal and sagittal trunk movements. Double support did not change after switching on the stimulation on the group level and did not differ from control values. Individual changes in double support and horizontal range of trunk motion due to stimulation could be predicted from the most disease-related factors and the severity of the disease; the latter also from the stimulation-related changes in the static balance parameters. Physiotherapy should focus on double support and horizontal trunk movements when treating patients with subthalamic deep brain stimulation.https://www.frontiersin.org/articles/10.3389/fneur.2022.917187/fullParkinson's diseasedynamic balanceITUGsubthalamic nucleusdeep brain stimulationdouble support
spellingShingle Andrea Kelemen
László Halász
Muthuraman Muthuraman
Loránd Erőss
Péter Barsi
Dénes Zádori
Bence Laczó
Dávid Kis
Péter Klivényi
Gábor Fekete
László Bognár
Dániel Bereczki
Gertrúd Tamás
Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
Frontiers in Neurology
Parkinson's disease
dynamic balance
ITUG
subthalamic nucleus
deep brain stimulation
double support
title Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
title_full Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
title_fullStr Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
title_full_unstemmed Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
title_short Clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in Parkinson's disease
title_sort clinical parameters predict the effect of bilateral subthalamic stimulation on dynamic balance parameters during gait in parkinson s disease
topic Parkinson's disease
dynamic balance
ITUG
subthalamic nucleus
deep brain stimulation
double support
url https://www.frontiersin.org/articles/10.3389/fneur.2022.917187/full
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