MDS Abstracts

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

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  • 2025 International Congress

    Efficacy and Feasibility of Telemedicine-Based Dietary Intervention vs. Outpatient Supervision for Drug-Resistant Multiple System Atrophy in Postmenopausal Women During COVID-19

    M. Sharma, S. Sinha (Pimpri, India)

    Objective: This study aimed to evaluate the feasibility, safety, and patient satisfaction of initiating and following up on MAD via telemedicine using the Telegram app,…
  • 2025 International Congress

    Examining Disparities and Device Usage in Outpatient Telemedicine Visits Amongst Movement Disorders Patients

    V. Palakuzhy, B. Ouyang, G. Stebbins, C. Goetz, M. Afshari (Chicago, USA)

    Objective: To characterize trends in device usage (mobile-device vs. personal computer (PC)) across demographic factors for video-based telemedicine visits in an urban tertiary Movement Disorders…
  • 2025 International Congress

    Predicting Parkinson’s Disease Motor Progression Using Clinical and Digital Data

    T. Aubourg, K. Gunter, C. Lo, J. Welch, K. Groenewald, J. Klein, J. Razzaque, L. van Hillegondsberg, PL. Ratti, A. Nastasa, G. Auld, R. Mccomish, A. King, K. Chowdhury, N. Vijiaratnam, C. Girges, T. Foltynie, S. Arora, M. Hu (Sheffield, United Kingdom)

    Objective: To define motor progression subphenotypes in Parkinson’s disease (PD) and evaluates the predictive power of clinical and smartphone data in distinguishing slow from fast…
  • 2025 International Congress

    Expanding the Scope Beyond Neurosurgery: A Systematic Review on MRgFUS Complications

    K. Heintzelman, D. Fletcher, J. Melott, K. Gelman, B. Mendelson, A. Memon (Morgantown, USA)

    Objective: This systematic review aims to investigate the complications associated with MRgFUS (magnetic resonance-guided high intensity focused ultrasound) for neurological disorders and determine their frequency…
  • 2025 International Congress

    Bridging the Digital Gap: A Global Survey of Technology Adoption by the MDS Technology Study Group

    S. Hirczy, H. Sarva, S. Paul, A. Lane, C. Antoniades, W. Maetzler, A. Mirelman, R. Schneider, J. Hausdorff, J. Vizcarra, J. Klucken, M. Monje, M. Mancini, P. Bonato, A. Nieuwboer, F. Horak, L. Rochester, A. Sanchez-Ferro, M. Fabbri, T. Mestre, R. Reilmann, A. Espay, B. Bloem, R. Bhidayasiri, A. Pilotto (Dallas, USA)

    Objective: To enhance our understanding of the clinical use of digital diagnostic and monitoring technologies among movement disorders clinicians worldwide. Background: The field of movement…
  • 2025 International Congress

    Feasibility of Telemedicine Approaches in the OxQUIP Study

    N. Conway, J. Huxley, C. Sotirakis, M. Gibbs, A. D'Souza, B. Cooley, J. Fitzgerald, C. Antoniades (Oxford, United Kingdom)

    Objective: To evaluate the feasibility of remote telehealth and digital monitoring telemedicine approaches in a longitudinal study of people living with Parkinson’s disease (PwP) and…
  • 2025 International Congress

    Machine Learning Model using Eye Movements for the Differential Diagnosis of iPD and Atypical Parkinsonian Syndromes

    A. Sekar, D. Kaski (London, United Kingdom)

    Objective: To develop a machine learning (ML) model to first between differentiate between healthy controls, idiopathic PD, Atypical Parkinsonian syndromes and then further subclassify as…
  • 2025 International Congress

    A Novel Quantitative Assessment to Evaluate Functional Impairment in Parkinson’s Disease

    V. Vanchinathan, M. Farah, A. Singh, C. Zhang, N. Osei-Owusu, R. Desai, R. Palani, J. Hamkins, M. Zwernemann, S. Grill, A. Pantelyat, J. Brašić (Baltimore, USA)

    Objective: To investigate if motion data collected from inertial measurement units (IMUs) mounted on implements used in activities of daily living (ADLs) can characterize the…
  • 2025 International Congress

    Traditional Deep Brain Stimulation Programming versus Automated Image-Guided Algorithm in Patients with Parkinson’s Disease

    H. Maghzi, C. Kim, S. Worthge, C. Malatt, M. Tagliati (Los Angeles, USA)

    Objective: To compare traditional initial deep brain stimulation (DBS) programming with artificial intelligence (AI)-assisted automated image-guided DBS programming algorithm. Background: DBS programming is a complex,…
  • 2025 International Congress

    Effect of Sensory Feedback Vibration Stimulation Using an In-Sole Foot Pressure Monitor on Gait

    K. Kakegawa, T. Matsuda, J. Ogawa, Y. Yamaguchi, K. Fujinawa (Bunkyo-ku, Tokyo, Japan)

    Objective: To investigate the effects of a sensory feedback vibration stimulation device that integrates an insole foot pressure sensor on gait. Background: Foot pressure during…
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