MDS Abstracts

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

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Articles tagged "Parkinson’s"

  • 2024 International Congress

    Acute and chronic effects of deep brain stimulation on gait in patients with Parkinson’s disease.

    C. Buetefisch, F. Isbaine, J. Nocera, J. Tran, S. Triche, C. Esper, P. Aia, L. Scorr, L. Higginbotham, R. Tripathi, J. Mckay, S. Miocinovic (Atlanta, USA)

    Objective: To investigate the acute and chronic effects of deep brain stimulation (DBS) of subthalamic nucleus (STN) or globus pallidus internus (GPi) on gait in…
  • 2024 International Congress

    Bilateral subthalamic nucleus deep brain stimulation as effective and sustained therapy in Juvenile Parkinson’s disease due to PTPA gene mutations

    D. Basson, P. Slabbert, M. Kakaza, C. Schutte, R. van Coller (Kimberley, South Africa)

    Objective: To report the efficacy of bilateral subthalamic nucleus (STN) Deep Brain Stimulation (DBS) in two siblings with Juvenile Parkinson’s Disease (JP) due to homozygous…
  • 2024 International Congress

    A Conversational GPT Agent for Parkinson’s Disease

    B. Várkuti, L. Manola, M. Atayi, L. Liemen, G. van Elswijk, F. Lange, M. Reich, L. Erōss, M. Okun, J. Volkmann (München, Germany)

    Objective: To create a conversational chat agent that can provide persons with Parkinson’s with information about their disease. Background: Artificial intelligence using Large Language Models…
  • 2024 International Congress

    Reliability of real-world walking activity and gait assessment in people with Parkinson’s disease – how many hours and days are needed?

    J. Buekers, J. Marchena, S. Koch, J. Lemos, J. Cherdova, C. Becker, T. Bonci, J. Braun, B. Caulfield, A. Frei, E. Gazit, J. Hausdorff, A. Mirelman, S. Del Din, L. Alcock, A. Yarnall, C. Jansen, M. Long, B. Sharrack, D. Singleton, C. Schlenstedt, W. Maetzler, H. Gassner, A. Ionescu, P. Ginis, A. Nieuwboer, L. Rochester, J. Garcia-Aymerich (Barcelona, Spain)

    Objective: To define i) the minimally required daily wear time during waking hours that constitutes a valid measurement of walking using digital mobility outcomes (DMOs)…
  • 2024 International Congress

    Prediction of falls in PD over 5 years using kinematic data and machine learning

    C. Sotirakis, M. Brzezicki, S. Patel, J. Fitzgerald, N. Conway, C. Antoniades (Oxford, United Kingdom)

    Objective: This study aims to evaluate the potential of a wearable sensor-based walking and balance assessment to predict the risk of falling in individuals with…
  • 2024 International Congress

    Distinguishing Parkinson’s disease from atypical Parkinsonian syndrome using multistage deep learning based on dopamine transporter imaging

    JS. Park, JY. Gwak (Busan, Republic of Korea)

    Objective: We made the diagnostic model using a deep learning algorithm based on dopamine transporterWe made the diagnostic model using a deep learning algorithm based…
  • 2024 International Congress

    Candidate biomarkers of EV-microRNA in detecting REM sleep behavior disorder and Parkinson’s disease

    Y. Li, J. Liu, L. Wu (shanghai, China)

    Objective: Accessible and reliable biomarkers for early diagnosis of PD and iRBD are urgently needed to identify candidate therapeutic targets and to monitor disease progression…
  • 2024 International Congress

    Association between Genetic Polymorphisms and Disease Progression in Parkinson’s disease

    TC. Fang, YJ. Guo, MH. Chang (Taichung, Taiwan)

    Objective: In this study, we aim to elucidate the association between the various haplotypes of the Catechol-O-methyltransferase (COMT) and Monoamine oxidase B (MAO-B) genes, the…
  • 2024 International Congress

    Causal effects of sarcopenia-related traits on risk and progression of Parkinson’s disease: a Mendelian randomization study

    T. Wang, J. Geng, R. Han, X. Zeng, J. Peng, YE. Huh (Xi’an, China)

    Objective: To examine causal associations between sarcopenia-related traits and the risk or progression of Parkinson’s disease (PD) using a Mendelian randomization (MR) approach. Background: Previous…
  • 2024 International Congress

    RAB32 variant p.Ser71Arg in the ROstock PArkinson’s Disease Study (ROPAD)

    C. Beetz, M. Radefeldt, K. Tripolszki, P. Bauer (Rostock, Germany)

    Objective: To identify and characterize PD patients with RAB32 variant p.Ser71Arg in the ROstock PArkinson’s Disease Study (ROPAD; ClinicalTrials.gov NCT03866603). Background: A recent preprint provided…
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