MDS Abstracts

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

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  • 2024 International Congress

    Alpha-Synuclein and Mitochondria Quality Control in Parkinson’s Disease: A Literature Review

    L. Shen (State College, USA)

    Objective: To provide an overview of the current knowledge on alpha-synuclein (αS) interactions with mitochondrial quality control (MQC) pathways in Parkinson’s disease (PD). Background: The…
  • 2024 International Congress

    Association of Retinol Binding Protein (RBP) and the Risk of Parkinson’s disease (PD): A Narrative Literature Review

    V. Sharma (Urban, India)

    Objective: This review aimed to investigate the association between RBP levels and the risk of Parkinson’s disease Background: RBP facilitates retinol transport from the liver…
  • 2024 International Congress

    Developing a Supervised Machine Learning Model for Long-Term Cognitive Status Prediction in Parkinson Disease

    L. Saadatpour, A. Vijayakumari, D. Floden, H. Fernandez, B. Walter (Cleveland, USA)

    Objective: The study aims to develop a supervised machine learning (ML) model to predict long-term cognitive outcome in patients with Parkinson disease (PD). Background: Cognitive…
  • 2024 International Congress

    Exploring Quantitative Susceptibility Mapping in Wilson’s Disease- A Prospective Cohort Study

    A. Aliyar, D. Radhakrishnan, A. Garg, A. Srivastava, R. Rajan, A. Pandit, A. Das, A. Agarwal (Delhi, India)

    Objective: To describe the quantitative magnetic susceptibility(QSM) in Wilson’s disease (WD) and healthy controls Background: Quantitative susceptibility mapping (QSM) is a post processing technique that…
  • 2024 International Congress

    STN-DBS Frequency Effects in Parkinson’s: An fMRI Study

    A. Vijayakumari, C. Piccinin, J. Alberts, P. Bhattacharya, M. Lowe, B. Walter (Cleveland, USA)

    Objective: The study aimed to investigate the impact of deep brain stimulation (DBS) at varying frequencies on brain activation patterns during a motor (force-tracking [FT])…
  • 2024 International Congress

    Motion-robust high-resolution imaging of nigrosome-1 in Parkinson’s disease

    M. Skorpil, O. Norbeck, P. Svenningsson, S. Skare, A. van Niekerk (Stockholm, Sweden)

    Objective: To develop a motion-insensitive high-resolution susceptibility weighted imaging (SWI) sequence for evaluating nigrosome-1 in substantia nigra. Background: In Parkinson's disease (PD) increased amounts of…
  • 2024 International Congress

    MRI Predictive Marker of the Vestibular Galvanic Stimulation Effectiveness in the Postural Instability Treatment in Parkinson’s Disease.

    O. Alenikova, A. Chumak A, G. Zobnina, D. Antonenka (Minsk, Belarus)

    Objective: To assess the galvanic vestibular stimulation (GVS) effect on axial symptoms and cervical vestibular evoked myogenic potential (cVEMP) depending on the Magnetic Resonance Parkinsonism…
  • 2024 International Congress

    Visual Hallucinations and Pareidolias Across the Lewy Body Disease Spectrum

    S. Kim, B. Jin, S. Lee, KA. Woo, R. Kim, H. Kim, YK. Kim, EJ. Yoon, JY. Lee (Seoul, Republic of Korea)

    Objective: To systemically evaluate visual hallucinations and illusions in patients across the LBD spectrum and to discover the underlying neural mechanism behind these visual symptoms.…
  • 2024 International Congress

    Association Between Cerebral Glucose Metabolism and Amyloid Deposition in Parkinson’s Disease

    HK. Na, Y. Sun, JH. Lee, CW. Park, YH. Sohn, CH. Lyoo, PH. Lee (Seoul, Republic of Korea)

    Objective: To investigate the potential association between cerebral amyloid (Aβ) deposition and regional brain metabolism in patients with Parkinson's disease (PD) Background: Although Parkinson's disease (PD)…
  • 2024 International Congress

    Predicting Freezing of Gait (FoG) in Parkinson’s Disease from Conventional T1-Weighted MRI

    G. Rathi, A. Gardner, Z. Mari, V. Mishra (Birmingham, USA)

    Objective: To predict freezing of gait in individuals with Parkinson's disease using T1-weighted MRI and machine learning techniques. Background: Freezing-of-gait (FoG) is a debilitating condition…
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