MDS Abstracts

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

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Articles tagged "Parkinson’s"

  • 2024 International Congress

    Deep brain stimulation contact selection using Neurophysiology and Artificial intelligence

    V. Lavu, J. Cagle, T. de Araujo, C. de Hemptinne, J. Wong (Gainesville, USA)

    Objective: To develop a machine learning (ML) algorithm capable of predicting the optimal deep brain stimulation (DBS) contact based on neurophysiology. Background: DBS is an…
  • 2024 International Congress

    The impact of long-term continuous subcutaneous apomorphine infusion on the reduction of remaining medications in levodopa equivalent dosage and on increasing plasma vitamin B12 levels in patients with advanced Parkinson’s disease

    O. Phokaewvarangkul, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To evaluate the plasma levels of vitamin B and homocysteine among 28 advanced PD patients with motor complications before and after continued used of…
  • 2024 International Congress

    Pathological Mechanisms Associated with Atrazine-Induced Parkinson’s Disease Pathogenesis in Rat Model: The Rescue Role of Myricetin

    C. Ikeji, E. Farombi (Ibadan, Nigeria)

    Objective: This study aimed at investigating the mechanisms involved in the pathogenesis of Parkinson’s Disease in atrazine rat model of Parkinson’s Disease and the neuroprotective…
  • 2024 International Congress

    Discriminating alpha-synuclein strains in Parkinson’s disease

    I. Schniewind, S. Bräuer, E. Dinter, BH. Falkenburger (Dresden, Germany)

    Objective: To evaluate possible differences in the biological properties of alpha-synuclein fibrils derived from different patients with Parkinson's disease. Background: Parkinson’s disease (PD) is a…
  • 2024 International Congress

    The role of extracellular vesicles in the progression of Parkinson’s disease

    T. Tsunemi, Y. Ishiguro, A. Yoroisaka, T. Shimada, F. Feng, W. Akamatsu, N. Hattori (Tokyo, Japan)

    Objective: The objective of this study is to investigate the role of extracellular vesicles (EVs) in the progression of Parkinson’s disease Background: Parkinson’s disease (PD)…
  • 2024 International Congress

    White matter abnormalities in motor subtypes of Parkinson’s disease

    S. Prasad, T. Nagaraj, S. Bhat, S. Purushotham, R. Taneja, V. Holla, R. Mahale, N. Kamble, R. Yadav, J. Saini, P. Pal (Bengaluru, India)

    Objective: To evaluate white matter microstructural integrity in Tremor dominant Parkinson’s disease (TDPD) and postural instability and gait disturbance (PIGD) subtypes of PD to ascertain…
  • 2024 International Congress

    Habenular Structural Connectivity Changes in Parkinson’s Disease: A 7T MRI Study

    B. Samanci, A. Bayram, S. Tan, M. Wanders, M. Kuijf, Y. Temel (Maastricht, Netherlands)

    Objective: To assess if the structural connectivity of habenula (Hb) differs between Parkinson’s disease (PD) patients and healthy controls (HCs). Background: PD is marked by…
  • 2024 International Congress

    Severity of Motor Symptoms Correlates with Asymmetric Changes in Globus Pallidus Internus and Caudate Nuclei in Parkinson’s Disease

    J. Martinez-Lemus, E. Tharp, T. Ellmore, C. Adams, R. Abuamouneh, E. Rodarte, M. Schiess (Houston, USA)

    Objective: Explore the relationship between MDS-UPDRS motor sub-scores (MDS-UPDRS-III) and cerebral perfusion in different Regions of Interest (ROI) in patients with Parkinson’s disease (PwP). Background:…
  • 2024 International Congress

    Enlarged Perivascular Spaces in the Temporal Lobe as a Predictor for Incident Dementia in Parkinson’s Disease

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

    Objective: To evaluate the whether regional burden of enlarged perivascular space (EPVS) hold prognostic value in predicting the dementia conversion in Parkinson's disease (PD). Background:…
  • 2024 International Congress

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

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

    Objective: Compare the performance of two deep learning models trained on quantitative diffusion measurements from brain network ROIs in the prediction of gait dysfunction in…
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