MDS Abstracts

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

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Articles tagged "Neurophysiology"

  • 2025 International Congress

    Are All Postural Reflexes Facilitated by Instability

    J. Colebatch, D. Hochstrasser, N. Todd, S. Govender (Sydney, Australia)

    Objective: To investigate whether postural reflexes evoked by both vestibular and axial stimuli are enhanced by instability. Background: Instability has been reported to increase vestibular-evoked…
  • 2025 International Congress

    Electrophysiology in Distinguishing Functional Tremor from Organic Tremor: A Systematic Review and Meta-Analysis of Diagnostic Accuracy

    S. Rujirussawarawong, C. Ounmuang, S. Aungsumart, C. Kasemsuk, N. Limotai (Bangkok, Thailand)

    Objective: To assess the diagnostic accuracy of various electrophysiological tests in differentiating functional tremor from organic tremor. Background: Functional tremor is the most common phenotype…
  • 2025 International Congress

    Studying the relationship between interoceptive awareness, caregiver burden, and disease perception in Parkinson’s Disease

    F. Velasco-Delgado, A. Hernandez-Medrano, E. Ramírez-Benitez, A. Cervantes-Arriaga, M. Rodríguez-Violante, D. Ulloa-Hernández, G. Martin-Mafud (Mexico City, Mexico)

    Objective: Analyze the impact of interoceptive awareness deficits on caregiver burden in Parkinson's disease. Background: Interoceptive awareness (IA) is the ability to perceive and process…
  • 2025 International Congress

    EEG connectivity in Parkinson disease: a comparative analysis of sporadic and genetic forms in ON/OFF therapy.

    M. Treddenti, V. Yahya, S. Marceglia, V. D'Onofrio, A. Guerra, T. Bocci, A. Priori (Milan, Italy)

    Objective: The study aims to compare the connectivity profile of patients affected by sporadic and genetic Parkinson's disease in different levodopa conditions through the analysis…
  • 2025 International Congress

    Characterizing the Neural Signature of Parkinsonian Freezing of Gait During an Immersive Virtual Reality Paradigm

    M. Miller Koop, A. Rosenfeldt, K. Scelina, L. Scelina, C. Waltz, A. Bazyk, V. Berki, K. Baker, N. Malan, S. Nagel, B. Walter, J. Liao, K. Baker, J. Alberts (Cleveland, USA)

    Objective: To characterize the neural signature of Freezing of gait (FOG) in Parkinson’s disease (PD) across multiple types of triggers. Background: FOG is among the…
  • 2025 International Congress

    Basal Ganglia Physiomarkers of Non-motor Symptoms in Parkinson’s Disease: a Systematic Review

    B. Keulen, M. Beudel, A. Malekzadeh, R. de Bie, B. Swinnen (Amsterdam, Netherlands)

    Objective: To systematically review the evidence linking basal ganglia local field potentials to non-motor symptoms in Parkinson’s disease. Background: Deep brain stimulation for Parkinson’s disease…
  • 2025 International Congress

    A Biomarker-Directed Approach to the Early Diagnosis of Parkinson’s Disease Using Artificial Intelligence and Machine Learning

    ME. Mellaci (SÃO PAULO, Brazil)

    Objective: The main purpose of this study was to assess how AI and ML methods integrate multiple biomarkers for diagnosing Parkinson’s Disease (PD) to improve…
  • 2025 International Congress

    Artificial Intelligence in the Early Detection of Parkinson’s Disease: Advances, Challenges, and Future Perspectives

    ME. Mellaci (SÃO PAULO, Brazil)

    Objective: This study reviews AI’s role in early PD detection, comparing AI-driven diagnostic methods with conventional clinical approaches in accuracy, reliability, and applicability. Background: Parkinson’s…
  • 2025 International Congress

    Glial interaction with Parkinsonian disorders biomarkers: alpha-synuclein, dopaminergic dysfunction and clinical stages

    L. Souza, D. Teixeira, G. Pereira, E. Zimmer, W. Borelli, A. Schuh (Porto Alegre, Brazil)

    Objective: We aim to investigated the relationship between glial markers and Parkinson's disease. Background: Neuronal α-Synuclein Disease (NSD) has recently been proposed as a framework for…
  • 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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