MDS Abstracts

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

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  • 2024 International Congress

    Longitudinal Relationship Between Brain Metabolism and Clinical Changes in Huntington’s Disease

    A. Gravier, S. Lavisse, R. Massart, A. Gil-Salcedo, P. Lemercier, O. Barret, V. Gaura, AC. Bachoud-Levi, P. Remy (Créteil, France)

    Objective: To understand the relationship between progression of the clinical symptoms and patterns of brain hypometabolism progression in a large cohort of Huntington’s disease (HD)…
  • 2024 International Congress

    Indentifying Key Features for Predicting Clinical Status in Huntington’s Disease Patients Using Raw Speech Samples: a Lightweight Machine Learning Approach

    T. Le Ludec, C. Le Moine, A-C. Bachoud-Lévi, R. Massart (Creteil, France)

    Objective: This study aims to identify key features relevant for predicting the clinical status of patients with Huntington’s Disease (HD) using machine learning techniques applied…
  • 2024 International Congress

    Muscle mass, body fat mass, and nutrition in patients with Huntington´s Disease

    M. Peball, P. Schörghuber, F. Carbone, P. Mahlknecht, F. Krismer, A. Djamshidian, K. Schwarzova, K. Seppi, B. Heim (Innsbruck, Austria)

    Objective: To assess skeletal muscle and fat mass, sarcopenia, and nutritional status in Huntington ́s Disease (HD) patients in different disease stages. Background: HD is…
  • 2024 International Congress

    Non-motor symptoms in people with Huntington’s disease: use and validation of the MDS Non-Motor Scale (MDS-NMS)

    JM. Valera-Bermejo, N. Martins, O. Makos, J. Badenoch, M. Hartmann, A. Rangel-Cristales, A. Rizos, K. Ray Chaudhuri, D. van Wamelen (London, United Kingdom)

    Objective: The primary objective of this project is to validate and personalise the existing MDS-NMS scale, originally developed for Parkinson’s disease, for use in people…
  • 2024 International Congress

    Association between Morbidity and Social Vulnerability in Patients with Huntington Disease

    J. Patino, N. Rocha, S. Zadegan, B. Duncan, R. Ramphul, A. Sharrief, E. Furr Stimming (Houston, USA)

    Objective: To investigate how social vulnerability affects clinical outcomes in Huntington disease (HD) gene expansion carriers (HDGECs). Background: Social determinants of health (SDOH) are nonmedical…
  • 2024 International Congress

    Two Cases of Moyamoya Syndrome-Associated Chorea and Dystonia

    M. Qureshi, S. Radmard (Albany, USA)

    Objective: To report on two cases of mixed movement disorder presentation of chorea and dystonia due to moyamoya syndrome for which one case was successfully…
  • 2024 International Congress

    Relationship Between Non-Motor Symptoms, Kinematic Features, and Quality of Life in Cervical Dystonia

    T. Hart, L. Heideman, D. Martino, M. Beudel, A. Sadnicka, F. Morgante (London, United Kingdom)

    Objective: To assess the extent of non-motor symptoms (NMS) in Cervical Dystonia (CD) and investigate the interaction between NMS, kinematic metrics of motor severity, and…
  • 2024 International Congress

    Effects of Transpinal Magnetic Stimulation (TsMS) in Patients Diagnosed with Spinocerebellar Ataxia 3 (SCA 3)

    K. Silveira Massruha, R. Bernhart Carra, J. Simões, G. Nunes Simões, J. Reis Menezes, V. Zanesi Maciel, M. Belo Silva, P. Medeiros Lacerda, T. Gonçalves Guimarães, E. Reis Barbosa, R. Gisbert Cury (São Paulo, Brazil)

    Objective: Ataxia is a neurological condition characterized by impaired coordination, balance, and motor control. While physiotherapy remains a cornerstone in SCA 3 management, emerging therapies such…
  • 2024 International Congress

    Connectivity-Based Analysis of the Impact of GPi Deep Brain Stimulation on the Freezing of Gait in Parkinson’s Disease

    S. Jo, J. Lee, M. Choi, H. Lee, SJ. Chung (Seoul, Republic of Korea)

    Objective: We aim to investigate the association between structural connectivity and its influence on the freezing of gait (FOG) after globus pallidus internus (GPi) deep…
  • 2024 International Congress

    Developing a Supervised Machine Learning Model for Long-Term Cognitive Status Prediction in Parkinson Disease

    L. Saadatpour, A. Vijayakumari, D. Floden, H. Fernandez, B. Walter (Cleveland, USA)

    Objective: The study aims to develop a supervised machine learning (ML) model to predict long-term cognitive outcome in patients with Parkinson disease (PD). Background: Cognitive…
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