MDS Abstracts

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

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Articles tagged "Gait disorders: Clinical features"

  • 2025 International Congress

    Gait Variability is Associated with Executive Function in Progressive Supranuclear Palsy

    A. D'Souza, C. Sotirakis, J. Fitzgerald, C. Antoniades (Oxford, United Kingdom)

    Objective: This study aims to investigate the relationship between executive function and gait in PSP using clinical assessments and objective gait analysis with wearable sensors.…
  • 2025 International Congress

    Retro walking: A Potential Indicator of Physical Frailty in Parkinson’s Disease.

    M. van Emde-Boas, C. Stonsaovapak, N. Bohnen, C. Pongmala (Ann Arbor, USA)

    Objective: To examine the associations between retro walking and frailty parameters such as low grip strength, exhaustion, low physical activity and weight loss and compare…
  • 2025 International Congress

    Association Between Trait Impulsivity and Freezing of Gait in People with Parkinson’s Disease

    H. Cavalcanti, D. Dos Santos, G. Valença, E. Pinto, J. Oliveira-Filho, L. de Almeida (Cachoeira, Brazil)

    Objective: To analyze the association between motor, attentional and non-planning impulsivity and freezing of gait in people with PD Background: Freezing of gait is a…
  • 2025 International Congress

    Quantitative Gait Evaluation in Multiple System Atrophy: Supervised versus Unsupervised Analysis

    F. Marchand, J. Labreuche, T. Ollivier, D. Guehl, A. Delval, L. Defebvre, AK. Berger, J. Wiedemann, L. Kjaersgaard, T. Warlop, A. Fasano, BR. Bloem, D. Devos, C. Moreau (Lille, France)

    Objective: This study aims to compare gait parameters in real-world (RW) home settings with supervised clinical assessments on 6-minutes walking test (6MWT) in MSA patients…
  • 2025 International Congress

    Gait Analysis in Parkinson’s Disease with Mixed Reality

    M. Wójcik-Pędziwiatr, D. Hemmerling, J. Stępień, M. Yufan, M. Kaczmarska, W. Szecówka, A. Srinivasa, M. Rudzińska-Bar (Cracow, Poland)

    Objective: This study aims to analyze gait differences between individuals with Parkinson’s disease (PD) and healthy participants using the Timed Up-and-Go (TUG) test, exploring the…
  • 2025 International Congress

    Muscle Coactivation in subjects with Parkinson’s Disease: a Healthy-matched analysis of the Sub-Phases of Gait Cycle

    D. Bonacina, D. Tosatto, M. Leonardi, C. Perin, C. Alessandro, D. Piscitelli (Milano, Italy)

    Objective: To compare lower limb muscle coactivation (MC) during gait between Parkinson’s disease (PD) and healthy controls (HC). Background: MC increases with aging as a…
  • 2025 International Congress

    The Sedentary Index (SI) for Daily Life Activity Monitoring in Progressive Supranuclear Palsy (PSP)

    M. Dale, C. Silva-Batista, A. Ragothaman, Z. Nhem, A. Lawston, G. Harker, D. Maxwell, C. Speirs, D. Loudon, M. Mancini (Portland, USA)

    Objective: To confirm the feasibility of daily life physical activity monitoring in PSP using a single activPAL sensor, and to examine preliminary associations between overall…
  • 2025 International Congress

    Harnessing Digital Biomarkers to Monitor Early Parkinson’s Disease Progression

    V. Shah, C. Silva-Batista, D. Engel, A. Ragothaman, P. Burgos, P. Carlson-Kuhta, F. Horak, M. Mancini (Philadelphia, USA)

    Objective: This study aimed to identify gait metrics capable of capturing disease progression in individuals with early Parkinson’s disease (PD). Background: Digital gait assessments have…
  • 2025 International Congress

    Center of Mass and Center of Pressure interactions during Gait in people with Parkinson’s Disease

    D. Tosatto, D. Bonacina, F. D'Andrea, C. Perin, C. Alessandro, D. Piscitelli (Milano, Italy)

    Objective: To compare lateral stability during gait in people with Parkinson’s Disease (PD), compared to healthy controls (HC). Background: PD is a progressive neurodegenerative disorder[1],…
  • 2025 International Congress

    Clustering and Identification of Parkinson’s Disease Severity Subtypes Using Multimodal Data and Machine Learning Approaches

    H. Park, C. Youm, H. Choi, J. Hwang, M. Kim (Busan, Republic of Korea)

    Objective: This study aimed to classify Parkinson’s disease (PD) severity subtypes by integrating objective multimodal data with machine learning (ML) techniques. We applied unsupervised clustering…
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