MDS Abstracts

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

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2025 International Congress

October 5-9, 2025. Honolulu, Hawaii.

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  • Advancing Hypomimia Assessment in Parkinson’s Disease by Integrating a Continuous Monitoring Device into Clinical Practice

    A. Wiederhold, C. Gundler (Hamburg, Germany)

  • Advancing LBD Diagnosis: EEG Biomarkers for Cognitive Fluctuations

    H. Mayo, A. Negida, M. Ahsan, S. Lageman, N. Mukhopadhyay, M. Barrett (Richmond, USA)

  • Advancing MDS Guidelines for Electronic Clinical Outcome Assessments: Best Practices for Validation and Implementation

    R. Fuller, M. Skorvanek, M. Monje, M. Tosin, S. Ali, A. Lofald, A. Sanchez Ferro, T. Mestre (Princeton, USA)

  • Advancing the Quality of Life of Parkinson’s Disease (PD) Patients in Ethiopia: The Impact of Self-Management and Coping Skills Training Programs on Patients in a Resource Constrained Settings

    T. Yinesu, Z. Bayu (Addis Ababa, Ethiopia)

  • Advancing the regulatory maturity of digital health technologies with focus on early intervention, Critical Path for Parkinson’s 3DT initiative

    D. Stephenson, C. Coon, J. Cosman, M. Dockendorf, S. Dolan, J. Edgerton, L. Gaetano, E. Goikoetxea, D. Hill, G. Jones, S. Jorgensen, T. Kangarloo, C. Kopil, G. Lee, J. Mammen, A. Mirelman, C. Ollivier, K. Romero, S. Sardar, Y. Xiao, M. Müller, J. Adams (Tucson, USA)

  • Affordable Aspect of Artificial Intelligence Applied to Tremor’s Analysis Features Extraction Approach based on Archimede’s Spiral Processing

    M. Abid, A. Rekik, R. Guizani, S. Laatoui, I. Rekik, S. Ben Amor (Sousse, Tunisia)

  • Age-related Trends in Amyloid Positivity in Parkinson’s Disease without Dementia

    K. Hatano, M. Kameyama, M. Kurihara, K. Ohse, R. Goto, R. Ihara, M. Higashihara, R. Sengoku, Y. Nishina, K. Kanemaru, Y. Saito, S. Murayama, A. Iwata (Tokyo, Japan)

  • AI-Based Detection of Tremor and Dystonia Using Deep Learning Models: A Novel Approach

    A. Mansour, Y. Hassan, H. Afify, A. Naguib (Cairo, Egypt)

  • AI-Driven Prediction Models for Advanced Parkinson’s Disease: A Data-Driven Approach Using PPMI and CDEPA Criteria

    I. Gabilondo, A. Saenz, S. Seijo, A. Ochoa, U. Zalabarria, I. Cuenca, B. Tijero, T. Fernandez, M. Ruiz, M. Acera, J. Gomez, R. Del Pino (Barakaldo, Spain)

  • AI-Driven Wearable Sensor Monitoring for Improved Assessment of Advanced Treatment Readiness in Parkinson’s Disease – A pilot study

    N. Karottki, M. Sander, T. Hørmann Thomsen, B. Biering-Sørensen (Glostrup, Denmark)

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