MDS Abstracts

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

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  • 2024 International Congress

    Looking Away: Anxiety Interferes with the Ability of Freezers to Attend to Visual Cues

    P. Norouzian, A. Zafar, S. Lewis, K. Ehgoetz Martens (Waterloo, Canada)

    Objective: To evaluate the influence of anxiety on attentional allocation when visual cues are provided for Parkinson’s Disease patients with freezing of gait. Background: It…
  • 2024 International Congress

    Prevalence and characteristics of anxiety in Parkinson’s disease

    I. Murasan, S. Diaconu, L. Ungureanu, I. Despa, A. Zarnoveanu, B. Opritoiu, C. Falup-Pecurariu (Brasov, Romania)

    Objective: To evaluate the characteristics of anxiety in relation to motor and non-motor symptoms in a cohort of PD patients. Background: Anxiety is a frequent…
  • 2024 International Congress

    The Association between Non-Motor Symptom Burden and Quality of Life in the Nigeria Parkinson Disease Research Network Registry

    O. Odeniyi, O. Ojo, O. Agabi, N. Okubadejo, NPD. Research Network (Lagos, Nigeria)

    Objective: To determine the relationship between non-motor symptom (NMS) burden and quality of life in persons living with Parkinson’s disease (PD) recruited into the registry.…
  • 2024 International Congress

    Comparison of Motor, Non-motor, Social Aspects between Men with Parkinson’s Disease with and without Erectile Dysfunction

    K. Nobrega, B. Souza, B. Alexandre, M. Silva, A. Frazao, A. Roque, I. Nascimento, ME. Piemonte (Sao Paulo, Brazil)

    Objective: This study aimed to compare motor, non-motor, and social aspects of men with PD who have and do not have ED. Background: Sexual dysfunction…
  • 2024 International Congress

    Deep learning-based Prediction of Visual Dysfunction in Parkinson’s Disease from 31 Brain Regions of Interest using Quantitative Diffusion MRI

    C. Raimondo, L. Singanamala, M. Alizadeh (Philadelphia, USA)

    Objective: Compare the performance of deep learning and machine learning models trained on quantitative diffusion measurements in the prediction of visual dysfunction in Parkinson’s Disease…
  • 2024 International Congress

    Exploring the Influence of Sleep Disorders on Speech Intensity in Individual’s with Parkinson’s Disease

    A. Senthinathan, K. Bean (Buffalo, USA)

    Objective: This study aimed to examine the impact that sleep disorders and disturbances have on speech intensity in individuals with Parkinson’s disease (PD). Background: PD…
  • 2024 International Congress

    Listening to the Insight: The Underdiagnosis of Depression in People Living with Parkinson’s Disease

    G. Rivera-Monroy, RJ. Baños-Betancourt, K. Velázquez-Román, CF. álvarez-Hernández, AL. Guerra-Anzaldo, WF. Moguel-Cardín, A. Domínguez-García, MF. Medina-Pérez, JC. Delgado-Uriarte, NP. Moreno-Aldama, A. Uribe-León, MC. Unda-Mcfarlane, AJ. Hernández-Medrano, A. Cervantes-Arriaga, M. Rodríguez-Violante (Mexico City, Mexico)

    Objective: To determine the prevalence of risk of undiagnosed depression among people living with Parkinson's disease (PwP) without a prior depression diagnosis. Background: Parkinson's disease…
  • 2024 International Congress

    Creating a Multi-institutional, Interdisciplinary Functional Neurological Disorder (FND) Clinic in an Urban Setting

    D. Kipnis, Z. Grin, S. Leung, Z. L'Erario, C. Amlang (New York, USA)

    Objective: To describe the process to create an interdisciplinary FND clinic with independent practitioners in the New York City area. Background: Estimated 9,000 people in…
  • 2024 International Congress

    Quantitative EEG Analysis for Comparing Drug-Induced Parkinsonism and Parkinson’s Disease

    S. Seo, S. Kim, SP. Kim, J. Kim, D. Chung, SY. Kang (Ulsan, Republic of Korea)

    Objective: To know whether EEG could be a neural indicator that distinguish between Drug-induced parkinsonism (DIP) and Parkinson’s disease (PD). Background: DIP is the second…
  • 2024 International Congress

    Characteristics of Parkinson’s disease and associated healthcare resource utilization trends in a US all-payer health administrative claims database

    W. Zhang, S. Shuvo, A. Gabriel, A. Yaldo, G. Agreda, C. Goetzsche, T. Machewitz, M. Nadimi, J. Lott (Whippany, USA)

    Objective: To describe sociodemographic characteristics and healthcare resource utilization (HRU) among Parkinson’s disease (PD) patients across US health insurance plans. Background: PD affects nearly 1…
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