MDS Abstracts

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

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  • 2024 International Congress

    Comparative-effectiveness of Foscarbidopa/foslevodopa (LDp/CDp) versus Oral Therapies in Advanced Parkinson’s Disease: A Propensity Matched Study

    D. Standaert, A. Fasano, F. Ory-Magne, D. Kern, O. de Fabregues, T. Oeda, D. Safarpour, Z. Baldwin, C. Yan, S. Wang, K. Onuk, P. Kukreja, L. Bergmann, V. Fung (Birmingham, USA)

    Objective: To assess long-term effectiveness outcomes in people with advanced Parkinson’s Disease (aPD) on LDp/CDp versus those on oral PD therapies (standard of care, SoC).…
  • 2024 International Congress

    The Purely Thermodynamic Anti-prionic Mode of Action for the Treatment of Parkinson’s Disease and other Neurodegenerative Diseases

    D. Willbold (Jülich, Germany)

    Objective: Demonstration of the anti-prionic MoA for α-synuclein in vitro, PoC in vivo, as well as ex vivo. Background: Neurodegenerative protein-misfolding diseases, like Alzheimer’s (AD)…
  • 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

    Multicenter study of efficacy and safety of subcutaneous foslevodopa/foscarbidopa treatment initiation or switch from LD/CD intestinal gel

    M. Morales-Casado, G. Tabar-Comellas, E. Gisbert-Tijeras, DD. García-Meléndez, J. Domínguez-Bértalo, D. Rivero-Rodríguez, N. López-Ariztegui (Toledo, Spain)

    Objective: To describe a series of patients under treatment with subcutaneous foslevodopa/foscarbidopa, either as initiation therapy or after switching from intestinal levodopa/carbidopa. Background: Treatment with…
  • 2024 International Congress

    Studying digenic Parkinson’s disease in a stem cell model carrying mutant p.N409S in the GBA1 gene and the homozygous deletion of exon 3 PARK2

    C. Oleksy, Z. Hanss, F. Massart, G. Arena, I. Boussaad, R. Krüger (Belvaux, Luxembourg)

    Objective: We aim to study the combined effect of the GBA1 p.N409S mutation and a complete loss of Parkin based on a patient-based stem cell…
  • 2024 International Congress

    iPLA2β controls ER-mitochondria tethering and Ca2+ transfer in Parkinson’s disease

    ZH. Lin, Y. Liu, NJ. Xue, BR. Zhang, JL. Pu (Hangzhou, China)

    Objective: In this study, we aimed to investigate whether Parkinson's disease (PD) associated calcium-independent phospholipase A2β (iPLA2β) regulates the integrity and functions of endoplasmic reticulum…
  • 2024 International Congress

    The role of LRRK2 in regulating microglial activity in Parkinson’s disease

    S. Brooker, A. Thomas, D. Krainc (Chicago, USA)

    Objective: To investigate the effects of pathogenic LRRK2 mutations on lysosomal function and phagocytic activity of microglia. Background: The LRRK2 G2019S mutation is one of…
  • 2024 International Congress

    The functional and lipidome signature of GBA1 mutant dopaminergic neurons

    G. Uras, S. Lucas-Del-Pozo, F. Fierli, S. Koletsi, V. Lentini, P. Caboni, C. Manis, D. Di Lisa, A. Andolfi, L. Pastorino, A. Schapira (London, United Kingdom)

    Objective: The work presented here aims to link the lipidome changes leading to functional defects, and eventual cell death, in GBA1 mutant dopaminergic neurons derived…
  • 2024 International Congress

    Diffusion MRI and Machine Learning Distinguish Alzheimer’s Disease and Dementia with Lewy Bodies

    R. Chen, W. Wang, A. Barmpoutis, D. Vaillancourt (Gainesville, USA)

    Objective: This study reports recent updates in the development of a support vector machine learning model to discriminate between dementia variants (i.e., Alzheimer’s disease (AD)…
  • 2024 International Congress

    Increased Brain-Age Gap Estimate (BrainAGE) in Neurological Wilson Disease

    A. Hausmann, J. Caspers, S. Kannenberg, S. More, K. Patil, A. Schnitzler, C. Rubbert, C. Hartmann (Duesseldorf, Germany)

    Objective: To assess grey matter (GM) volume derived brain-aging in Wilson Disease (WD) using a previously proposed machine learning (ML) algorithm. Background: GM atrophy is…
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