MDS Abstracts

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

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Articles tagged "Parkinson’s"

  • 2026 International Congress

    Occupational Solvent Exposure and Parkinson’s Disease: An Observational Study in PPMI Online

    F. Luna-Rangel, H. Martinez, O. Gutierrez-Treviño, C. Armengol-Garcia, J. Luna, B. Perez Martinez, J. Figueroa-Sanchez (San Pedro, Mexico)

    Objective: To investigate the association between occupational solvent exposure and Parkinson’s disease using data from the PPMI Online cohort. Background: Environmental toxicant exposure has been…
  • 2026 International Congress

    Urate Levels and Risk of Parkinson’s Disease:A Two-Sample Mendelian Randomization Study

    P. Tang, Y. Liu (Xi'an, China)

    Objective: To investigate the causal relationship between circulating serum urate levels and the risk of Parkinson's disease (PD) using a two-sample Mendelian randomization (MR) approach.…
  • 2026 International Congress

    Evaluating Parkinson’s Disease Telehealth in Residential Aged Care

    J. Ponce, E. Pepper, E. Collins (New Lambton Heights, Australia)

    Objective: To evaluate the use, barriers, outcomes, and clinician perspectives of specialist telehealth for Parkinson’s disease (PD) care in residential aged care facilities. Background: Specialist…
  • 2026 International Congress

    Linear-Time RWKV Multimodal Fusion of Smartphone Audio and Wearable Signals for Mild Cognitive Impairment Screening

    D. Hemmerling, JH. Yun, J. Krzywdziak, B. Eljasiak, A. Pruszek, L. Lazarski, M. Grzeszczyk, T. Brzózka, W. Szecówka, W. średniawa, H. Lee, W. Baek, S. Yoon, M. Matuszewski (Krakow, Poland)

    Objective: To evaluate linear-time RWKV-based multimodal fusion for classifying mild cognitive impairment (MCI) from synchronized smartphone audio and consumer wearable signals, and to compare alternative…
  • 2026 International Congress

    Real-World Mobile Voice Classification for Parkinson’s Disease Using Convolutional Neural Networks and Mel-Spectrogram Features

    N. Leabthong, J. Sringean, T. Laosombut, N. Jeh-Voh1, Z. Win, P. Rattanajun, S. Phumphid, C. Anan, J. Meesri, S. Wekhinhiran, O. Phokaewvarangkul, P. Panyakaew, S. Maytharakcheep, P. Jagota, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To evaluate the performance of deep learning approach based on Mel-spectrogram features in classifying PD using two real-world speech tasks - sustained phonation and…
  • 2026 International Congress

    Digital Innovation in Parkinson’s Disease – Governing Care and Managing Autonomy

    B. Schmitz-Luhn (Bonn, Germany)

    Objective: The study analyzes the regulatory implications of digital technologies in Parkinson’s disease, with particular focus on (1) improvement of care and reduction of intensive…
  • 2026 International Congress

    Intestinal Dysbiosis in Parkinson’s Disease: Mechanisms, Clinical Implications, and Therapeutic Perspectives (2015–2025)

    H. Harifi (Kenitra, Morocco)

    Objective: This narrative review aims to consolidate research published from 2015 to 2025 regarding abnormalities in gut microbiota in patients with Parkinson’s disease, emphasizing potential…
  • 2026 International Congress

    Exploring Usability and Feasibility of an Optimised Smartwatch to Monitor Medication Intake in Parkinson’s Disease

    E. Packer, K. Scott, P. Brown, J. Sarvestan, A. Smalley, O. Brugna, N. Ireson, V. Lanfranchi, L. Rochester, A. Yarnall, L. Alcock, M. Peeters, S. Del Din (United Kingdom)

    Objective: Explore usability and feasibility of an optimised smartwatch to monitor medication intake in people with Parkinson’s disease (PwP). Background: Digital health technology (DHT) can…
  • 2026 International Congress

    Family Caregivers and eHealth in Parkinson’s Disease: Insights From a Qualitative Study

    H. Johansson, A. Alvariza, B. Leavy (Stockholm, Sweden)

    Objective: To explore family caregivers’ views on the role of eHealth in formal care and in supporting physical activity and exercise for people with Parkinson’s…
  • 2026 International Congress

    Distinct Patterns of Perivascular Diffusivity and Choroid Plexus Volume in De Novo Parkinson’s Disease and Type 2 Diabetes

    YJ. Bae, C. Shin, H. Jeong, SJ. Cho, SH. Baik, DH. Lee, Y. Jeong, JM. Kim (Seongnam-si, Republic of Korea)

    Objective: This study aimed to investigate the differences in perivascular water diffusivity and structural neurofluid markers using diffusion tensor image-analysis along the perivascular space (DTI-ALPS),…
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International Parkinson and Movement Disorder Society

The Society that manages the annual International Congress »

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The official website for the International Congress of Parkinson’s and Movement Disorders® »

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