MDS Abstracts

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

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  • 2025 International Congress

    International Mentorship in PPMI Clinical Translation (IMPaCT): Engagement Initiatives for Clinical Participants in the United States (US)

    L. Lemon, B. Mcmahon, A. Cunningham, H. Hargrave, J. Ewart, N. Alam, N. Whalen, R. Gokarn (New Haven, USA)

    Objective: Describe cohort engagement strategies conducted by PPMI IMPaCT Program among US participants. Background: Retention in longitudinal studies is vital for study for data integrity/analysis.1…
  • 2025 International Congress

    Breaking Away From the Ivory Tower

    J. de (Kogarah, Australia)

    Objective: We describe the evolution of the Geriatric Flying Squad (GFS), a rapid response outreach team for residential aged care facilities (RACFs) in the local…
  • 2025 International Congress

    Specialized palliative care for advanced Parkinsonian syndromes: bridging the gap

    K. Cantu Flores, E. Mcrae, K. Waldmann, R. Kline, V. Bruno (Calgary, Canada)

    Objective: The Advanced Care Team for Parkinson’s (ACT-PD) pilot program at the Calgary Movement Disorders Clinic aimed to bridge gaps in specialized palliative care for…
  • 2025 International Congress

    Effects of an Intensive Multidisciplinary Rehabilitation Program on Patients with Spinocerebellar Ataxia

    F. Coimbra, MC. da Cunha, J. Veloso, M. da Cunha, MR. Moreno, E. Mosimann, L. Siciliani, JR. Junior, J. Caetano, CE. Del Rio, C. Couto (Rio de Janeiro, Brazil)

    Objective: To evaluate the effectiveness of an intensive multidisciplinary rehabilitation program in patients with spinocerebellar ataxia. Background: Spinocerebellar ataxias (SCAs) cause significant motor impairment, affecting…
  • 2025 International Congress

    Patient-Reported Satisfaction and Usability of a Virtual Home-Based Program for Fall Prevention in Parkinson’s Disease

    S. Dharmadhikari, V. Palakuzhy, Y. Kianirad, M. Afshari (Chicago, USA)

    Objective: To evaluate participant perspectives and satisfaction with a virtual home safety intervention to reduce environmental fall risks in persons with Parkinson’s disease (PwPs). Background: While…
  • 2025 International Congress

    Development of a Rating Instrument to Identify Catatonia by Virtual Viewing of Motor Assessments

    N. Kadubandi, A. Elshourbagy, L. Smith, A. Balousha, P. Tacik, J. Barnett, J. Brasic (Baltimore, USA)

    Objective: To develop a rating instrument to identify catatonia by virtual viewing of motor assessments Background: Catatonia is a motor comorbidity complicating mental and physical…
  • 2025 International Congress

    Ecologically Valid, Ambient, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Parkinson’s Disease (EVALUATE-PD)

    J. Kaye, E. Leonard, L. Talman, N. Rodrigues, Z. Beattie (Portland, USA)

    Objective: To determine the feasibility of using in-home digital biomarkers (DBs) and activity monitoring for clinical trials and studies of early Parkinson’s Disease (PD) and…
  • 2025 International Congress

    Application of Multi-Camera Videography for Detecting PD-related Gait Deficiencies

    R. Griesenauer, S. Dhulipalla, R. Trosch, W. Dauer (Boston, USA)

    Objective: To identify and measure PD-specific gait signals in multi-camera videos for differentiating PD vs control (non-PD), without using specialized equipment (e.g., motion capture). Background:…
  • 2025 International Congress

    Integration of Multivariate Time Series Analysis in Assessing Balance Control: A Comprehensive Review of Current Research

    M. Ali, D. W. Ismail, H. Elshazly, Y. M.HUSSEINY, S. Elrobeigi, Y. Hamdi, M. Abouelseoud, H. Abdelbar, H. Khabiry, M. M. Elsayed (Giza, Egypt)

    Objective: To review the application of multivariate time series (MTS) analysis in assessing balance control and its potential for improving rehabilitation strategies. Background: Balance control…
  • 2025 International Congress

    Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning

    V. Lavu, P. Coutinho, J. Hilliard, K. Foote, C. de Hemptinne, J. Wong, K. Johnson (Gainesville, USA)

    Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…
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