MDS Abstracts

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

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Articles tagged "Gait disorders: Clinical features"

  • 2026 International Congress

    Functional Connectivity Subtypes Predict Longitudinal Motor Progression and Gait Disturbance in Parkinson’s Disease

    S. Wang, Y. Xiao, Y. Hou, C. Li, R. Ou, J. Lin, T. Yang, Q. Jiang, X. Zheng, J. Liu, H. Shang (chengdu, China)

    Objective: In this study, we aimed to identify network-defined subtypes of Parkinson’s Disease (PD) using resting-state functional connectivity (FC) features and to determine whether these…
  • 2026 International Congress

    Single-Camera AI Pose Estimation Predicts Clinician-Rated Gait Severity in Cerebellar Ataxia

    H. Keane, S. Kho, K. Tsutsumi, J. Allred, R. Hankin, S. Attaripour Isfahani (Irvine, USA)

    Objective: We validated a single-camera AI pipeline to predict clinician-rated gait severity in cerebellar ataxia from standard video recordings. Background: Gait instability is among the…
  • 2026 International Congress

    High Step Marching Dyskinesia: A Case Series

    N. Pulley, I. Bledsoe, P. Hoang (San Francisco, USA)

    Objective: To describe high step marching dyskinesia in two patients with Parkinson's disease (PD) Background: Levodopa-induced dyskinesias can interfere with gait in patients with Parkinson’s…
  • 2026 International Congress

    Digitizing PD Rating Scales Increases Reliability and Accessibility

    Z. Yekutieli, Y. Yahalom, P. Lewitt (Tel-Aviv, Israel)

    Objective: Eliminate intra- and inter-rater variability by using digital means for rating scales and making them accessible for all. Background: Conventional clinician-rated scales like UPDRS…
  • 2026 International Congress

    Cholinergic Systems Changes Associated with Freezing of Gait in Progressive Supranuclear Palsy

    P. Kanel, G. Carli, S. Roytman, J. Barr, R. Vangel, A. van Hout, C. Spears, P. Scott, R. Albin, N. Bohnen (Ann. Arbor, USA)

    Objective: To investigate whether distinctive cholinergic system changes are associated with FoG in PSP patients. Background: Freezing of gait (FoG) is a profound mobility disturbance…
  • 2026 International Congress

    Gait Kinematics as Biomarkers of Preclinical Parkinson’s Disease: A Systematic Review of Sensor-Based Studies

    K. Makhoul, N. Elayan, K. Fisher, R. Ramdhani (New York, USA)

    Objective: To systematically review existing literature on gait kinematics in individuals at increased risk for Parkinson’s disease (PD) and evaluate the role of sensor-based kinematic…
  • 2026 International Congress

    Assessment of Postural abnormalities in Early-stage Parkinson’s Disease Using a Posture Analyzing and Virtual Reconstruction Device

    HW. Yang, SI. Choi, WH. Lee, NY. Kim (Yongin, Republic of Korea)

    Objective: To investigate whether an RGB camera-based system with AI-driven analysis, the posture-analyzing and virtual reconstructing system (PAViR), can effectively assess postural abnormalities in early-stage…
  • 2026 International Congress

    The 360° Turn Test as a Single and Dual Task in people with Parkinson’s disease and cognitively unimpaired controls

    M. Lindh-Rengifo, S. Fors, S. Palmqvist, E. Stomrud, N. Mattsson-Carlgren, M. Nilsson (Lund, Sweden)

    Objective: To investigate the effects of adding a cognitive subtraction task on the duration of the 360° turn test, and to compare the performance between…
  • 2026 International Congress

    Digital Gait Biomarkers Reveal a Distinct Motor Prodrome Up to Five Years Before Parkinson’s Disease Diagnosis in the General Population

    P. Pelicioni, S. Waller, L. Chan, A. Krishnan, S. Lord, M. Brodie (Randwick, Australia)

    Objective: To assess whether novel digital gait biomarkers can predict incident Parkinson’s disease (PD) in a large cohort of middle-aged and older adults; and (ii)…
  • 2026 International Congress

    Passive Lumbar Accelerometry Reveals Motor and Behavioral Signatures Associated with High Risk for Parkinson’s Disease

    A. Ziv, R. Vaknin Greenblatt, L. Yahimovich, Y. Lachberg, A. Thaler, JM. Hausdorff, A. Mirelman (Tel Aviv, Israel)

    Objective: To identify mobility-derived digital features that distinguish PD risk and track progression. Background: Parkinson's disease (PD) is marked by progressive motor decline, yet subtle…
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