MDS Abstracts

Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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Articles tagged "Bradykinesia"

  • 2022 International Congress

    Pallidal beta activity correlates with stimulation-induced bradykinesia in dystonia patients

    R. Lofredi, U. Scheller, A. Mindermann, J. Krauss, A. Saryyeva, GH. Schneider, A. Kühn (Berlin, Germany)

    Objective: Identify a neurophysiological correlate of stimulation-induced bradykinesia in dystonia Background: Bradykinesia is a known side-effect of pallidal deep brain stimulation (DBS) in dystonia patients…
  • 2022 International Congress

    Determinants of symptom severity in Parkinson’s disease: the International Vacation Survey

    J. Janssen Daalen, J. Hubbers, M. Sharifi Bonab, S. Mathur, D. Thijssen, B. Bloem, M. Meinders (Nijmegen, Netherlands)

    Objective: As insight in the drivers of varying symptom severity might help manage symptoms, this study investigates the association between symptom severity and contextual factors…
  • 2022 International Congress

    Effects of Virtual Reality Immersion Level on Exercise Intensity and Motivation for Persons with Parkinson Disease

    J. Palmieri, R. Gallagher, J. Donoghue, N. Volino, H. Damodaran, J. Deutsch (Newark, USA)

    Objective: The purpose of this study was to determine the effect of immersion level in virtual reality (VR) on exercise intensity and motivation for persons…
  • 2022 International Congress

    Neurophysiological Assessment of Juvenile Parkinsonism due to Primary Monoamine Neurotransmitters Disorders

    M. Passaretti, L. Pollini, G. Paparella, A. de Biase, D. Colella, S. Galosi, F. Manti, A. Guerra, V. Leuzzi, A. Berardelli, M. Bologna (Rome, Italy)

    Objective: No previous studies investigated voluntary movements abnormalities and their neurophysiological correlates in primary monoamine neurotransmitters (NT) disorders. Background: Juvenile parkinsonism is a rare condition…
  • 2022 International Congress

    Deep learning to distinguish Parkinson’s from controls in video, without human-defined measures

    J. Yang, S. Williams, D. Hogg, J. Alty, S. Relton ()

    Objective: We aimed to apply a deep learning neural network directly to video of finger tapping, without human-defined measures or features, for a computer to…
  • 2022 International Congress

    Computer vision can detect changes in bradykinesia associated with dopaminergic state in Parkinson’s disease

    JF. Martín-Rodríguez, S. Camba Fernandez, D. Rodriguez Gordo, S. Garcia-Ojeda, B. Benitez Zamora, L. Muñoz-Delgado, F. Carrillo, P. Mir (Sevilla, Spain)

    Objective: To evaluate the classification accuracy of a computer vision-based feature extraction and classifier method to detect changes in finger tap bradykinesia associated with dopaminergic…
  • 2022 International Congress

    Comparison between clinical and kinematic assessment of bradykinesia

    G. Paparella, A. de Biase, L. Angelini, A. Cannavacciuolo, D. Colella, A. Guerra, D. Alunni Fegatelli, A. Berardelli, M. Bologna (Pozzilli, Italy)

    Objective: To compare the clinical and kinematic assessment of bradykinesia (movement slowness). Background: Bradykinesia may be present not only in Parkinson’s disease (PD), but also…
  • 2022 International Congress

    A case of levodopa responsive parkinsonism due to methanol toxicity, an impact of COVID-19 crisis

    M. Shah, L. Patil, M. Bhatt (Mumbai, India)

    Objective: To report the clinical course of secondary parkinsonism due to methanol toxicity with good levodopa responsiveness in the background of COVID-19 crisis. Background: The…
  • 2022 International Congress

    Frequency dependent interindividual variability of the deep brain stimulation effect on upper-limb bradykinesia

    P. Dorin, D. Brogle, S. Hägele-Link, M. Krüger, G. Kägi, F. Brugger (St. Gallen, Switzerland)

    Objective: To demonstrate that there are interindividual differences in the response of upper limb bradykinesia to subthalamic deep brain stimulation (STN-DBS) in patients with Parkinson’s…
  • 2022 International Congress

    High-beta Oscillations Predict Outcome of Subthalamic Deep Brain Stimulation in Parkinson’s Disease

    P-L. Chen, Y-C. Chen, P-H. Tu, T-C. Liu, H-T. Wu, M-C. Yeap, C-H. Yeh, C-S. Lu, C-C. Chen (Taoyuan City, Taiwan)

    Objective: We evaluated whether low-β and high-β band activity recorded from the subthalamic nucleus (STN) region predicts efficacy of deep brain stimulation (DBS) in Parkinson's…
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