MDS Abstracts

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

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Articles tagged "Gait disorders: Clinical features"

  • 2024 International Congress

    Long-term Physical Exercise on Bone Mineral Density, Balance and Gait in Older Adults with Mild to Moderate Parkinson’s Disease

    L. Leandro, T. Zotz, O. Matos, M. Olandoski, C. Moreira (Pinhais, Brazil)

    Objective: To determine the effects of a long-term exercise program on bone health, balance and gait in older adults with mild to moderate Parkinson's disease…
  • 2024 International Congress

    Physical activity in patients with atypical parkinsonian syndromes – Collection of real-world data

    V. Sidoroff, G. Prigent, H. Moradi, S. Sapienza, F. Krismer, K. Seppi, J. Ndayisaba, F. Jagusch, H. Humer, P. Bachmann, B. Eskofier, J. Winkler, I. Teckenurg, M. Asalian, J. Klucken, A. Ionescu, D. Benninger, H. Gaßner, G. Wenning, K. Aminian, C. Raccagni (Innsruck, Austria)

    Objective: To record mobility in everyday life of patients with MSA, PSP and IPD using sensor-technology over several days. Background: Even in the early disease…
  • 2024 International Congress

    Muscle co-contraction in people with Parkinson’s disease suffering from freezing of gait

    D. Buzaglo, P. Gandhi, Y. Hanein, J. Hausdorff (Tel Aviv, Israel)

    Objective: 1) to test the feasibility of using novel, disposable EMG electrodes to study co-contraction (CC) and 2), to test if muscle CC is higher…
  • 2024 International Congress

    Does cannabis increase one’s risk for a fall in Parkinson’s disease?: cross-sectional analysis of self-report balance problems and freezing of gait

    M. Landers, A. Dockery, A. Hernandez, C. Miyashiro (Las Vegas, USA)

    Objective: To explore the effects of delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD) on self-report balance problems and freezing of gait (FOG) in Parkinson's disease (PD). Background:…
  • 2024 International Congress

    Identification of Fall Risk in Patients with Parkinson’s Disease Through Telemonitoring

    F. Kanellos, G. Rigas, A. Ntanis, N. Kostikis, S. Kontaxis, L. Liouta, C. Tsitsou, S. Konitsiotis (Ioannina, Greece)

    Objective: This work presents an analysis of real-world, device-reported outcomes from patients with Parkinson’s disease (PD) in Greece. A total of 82 patients were included…
  • 2024 International Congress

    Longitudinal Gait Speed Analysis at Prodromal and Early Stage of Parkinson’s Disease

    S. Sambin, M. Houot, F. Khoury, G. Mangone, L-L. Mariani, I. Arnulf, S. Lehericy, M. Vidailhet, J-C. Corvol (Paris, France)

    Objective: We aimed at exploring gait speed (GS) as a potential biomarker of disease evolution in early stages of PD with three objectives. 1- To…
  • 2024 International Congress

    Comparison Between the 2MWT and the 6MWT as Measures of Walking Capacity in Parkinson’s Disease

    H. Johansson, L. Rennie, W. Grooten, B. Leavy (Huddinge, Sweden)

    Objective: The objective of this study was to compare the two-minute walk test (2MWT) to the six-minute walk test (6MWT) as a measure of walking…
  • 2024 International Congress

    Sex differences of gait at self-determined speed in neurodegenerative parkinsonism

    F. Jagusch, V. Sidoroff, G. Prigent, H. Moradi, S. Sapienza, JP. Ndayisaba, F. Krismer, H. Humer, P. Bachmann, K. Seppi, I. Teckenburg, M. Asalian, D. Benninger, BM. Eskofier, J. Winkler, J. Klucken, H. Gassner, A. Ionescu, K. Aminian, C. Raccagni, GK. Wenning (Innsbruck, Austria)

    Objective: To identify sex-specific differences in observer-independent gait parameters in parkinsonian disorders. Background: Reduced mobility and gait impairment impact the quality of life and increase…
  • 2024 International Congress

    Developing composite measures that track physical activity change in people with early-stage Parkinson’s disease using machine learning and wearable sensors

    K. Ho, C. Chen, S. Shin, S. Li, N. Kowahl, L. Evers, M. Meinders, L. Shih, B. Bloem, A. Siderowf, R. Kapur (South San Francisco, USA)

    Objective: To describe an approach using machine learning (ML) to develop composite digital measures that capture changes in physical activity in people with early-stage Parkinson’s…
  • 2024 International Congress

    Gait Digital Outcomes Exploration from Continuous Real-World Recordings in Parkinson’s Disease

    M. Michaud, G. Parinello, E. Kluczka, C. Cluzeau, M-L. Brechemier, F. Bompaire, C. Tafani, M. Sallansonnet-Froment, T. Gidaro, L. Oudre, D. Ricard (Gif-Sur-Yvette, France)

    Objective: To measure how people with Parkinson's disease (PD) feel, function, and survive, derived from continuous recordings with a wearable ankle inertial device in a real-world…
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