MDS Abstracts

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

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  • 2024 International Congress

    Characterizing levodopa-induced dyskinesias using multimodal neuroimaging, clinical and behavioral measures

    S. Shukla, S. Tinaz, N. Thirugnanasambandam (Mumbai, India)

    Objective: Our objective is to investigate potential differential modulation in motor and executive function networks among patients with LID, and to explore its correlation with…
  • 2024 International Congress

    Evaluation of Glymphatic System Function in Parkinson’s disease patients using Diffusion MRI

    M. Seki, R. Ueda, R. Okochi, Y. Sakai, T. Nukariya, S. Okusa, T. Tezuka, Y. Nihei, J. Nakahara (Tokyo, Japan)

    Objective: To investigate the activity and clinical significance of glymphatic system in Parkinson's disease (PD) patients using diffusion MRI. Background: Although much research on proteinopathies…
  • 2024 International Congress

    MR-guided focused ultrasound for essential tremor: exploratory analysis comparing unilateral and staged, bilateral thalamotomy

    HM. Eisenberg, P. Fishman, P. Ghanouni, M. Grassman, C. Ferrer, K. Gant, A. Grinspan (Baltimore, USA)

    Objective: This exploratory analysis investigated tremor-motor (TM) outcomes in patients receiving unilateral versus staged, bilateral magnetic resonance-guided focused ultrasound (MRgFUS) VIM thalamotomy for essential tremor…
  • 2024 International Congress

    Deep brain stimulation of bilateral ventral intermediate nucleus in patients with neuronal intranuclear inclusion disease

    YM. Sun, LQ. Lang, J. Hu, JJ. Wu (Shanghai, China)

    Objective: To evaluate the effect and the side effects of deep brain stimulation on the tremor of a patient with neuronal intranuclear inclusion disease (NIID).…
  • 2024 International Congress

    Assessment of Image-Guided Programming (IGP) in Bilateral STN and GPi Deep Brain Stimulation on Programming Time and Setting Outcomes

    J. Aldred, T. Zesiewicz, M. Okun, L. Verhagen Metman, O. Vaou, C. Luca, R. Ramdhani, J. Durphy, Y. Bezchilbnyk, J. Carlson, K. Foote, S. Sani, A. Papanastassiou, J. Jagid, D. Weintraub, B. Reese, L. Chen, R. Shivacharan, E. Goldberg (Spokane, USA)

    Objective: We describe assessment of Parkinson's disease (PD) patient outcomes using an image-guided programming (IGP) tool as conducted during initial Deep Brain Stimulation (DBS) programming,…
  • 2024 International Congress

    Real-world Experiences of Image-guided Programming in Subthalamic Nucleus Deep Brain Stimulation in Parkinson’s disease

    J S. Lee, J. Ha, J W. Cho, J. Lee, J. Youn (Daegu, Republic of Korea)

    Objective: We evaluated the effectiveness of image-guided programming (IGP) in patients with Parkinson’s disease (PD) who underwent bilateral subthalamic nucleus (STN) – deep brain stimulation…
  • 2024 International Congress

    Clinical and Imaging Changes in Parkinson’s Disease Patients Under Spinal Cord Stimulation: A Double Blinded Analysis

    R. Carra, L. Garcia, J. Menezes, T. Capato, E. Barbosa, K. Duarte, M. Teixeira, R. Cury (Sao Paulo, Brazil)

    Objective: Evaluate clinical and biomarker changes from spinal cord stimulation (SCS) in Parkinsons Disease (PD) under sham controlled randomized evaluation. Background: SCS has been proposed…
  • 2024 International Congress

    Is the new device Percept-Medtronic really helping clinicians identifying location of contacts within the STN in STN-DBS?

    M. Ruiz-Lopez, B. Tijero, T. Fernández, G. Bilbao, E. Ruizdegopegui (Barakaldo, Spain)

    Objective: To correlate local field potentials recording with the location of the electrodes according the images obtained with the software Lead-DBS and clinical outcome one…
  • 2024 International Congress

    Advancing Interpretability in Parkinson’s Disease Voice Analysis: A Multilingual AI Approach

    M. Wójcik-Pędziwiatr, M. Zakrzewski, M. Wodziński, J. Orozco-Arroyave, E. Nöth, M. Rudzińska-Bar, D. Sztaho, T. Rumezak, D. Hemmerling (Kraków, Poland)

    Objective: This study aims to advance the interpretability of machine learning (ML) models in the detection of Parkinson's Disease (PD) through a novel approach analyzing…
  • 2024 International Congress

    Codesigning Tech with Patients – Insights from the Quantitative and Qualitative Analysis of Three Technologies used in Patients With Parkinson’s Disease

    D. Pérez-Rangel, M. H.G. Monje, S. Grosjean, M. Srp, L. Antunes, R. Bouça-Machado, R. Cacho, S. Domínguez, J. Inocentes, T. Lynch, A. Tsakanika, D. Fotiadis, G. Rigas, E. Ruzicka, J. Ferreira, A. Antonini, N. Malpica, T. Mestre, A. Sánchez-Ferro (Madrid, Spain)

    Objective: To evaluate the usability and acceptability of three different digital health technologies developed for Parkinson's disease (PD). Background: PD care requires meeting patients' changing…
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