MDS Abstracts

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

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  • 2023 International Congress

    Metabolic modulation of mitochondrial DNA release in cellular models of Parkin-associated Parkinson’s disease

    G. Agyeah, P. Antony, K. Wasner, A. Rakovic, S. Pereira, A. Grünewald (Esch-Sur-Alzette, Luxembourg)

    Objective: Our objective in this study was to elucidate the mechanisms underlying the release of mtDNA in cellular models of Parkin-associated Parkinson’s disease and to…
  • 2023 International Congress

    Explainable deep learning based detection of Parkinson’s changes in MRI brain scans

    M. Courtman, M. Thurston, L. Mcgavin, C. Carroll, L. Sun, E. Ifeachor, S. Mullin (Plymouth, United Kingdom)

    Objective: A pilot study using an AI-based framework to classify routine brain scans as Parkinson’s disease (PD) or control. Background: Prospective neuroprotective treatments for PD…
  • 2023 International Congress

    Brain FDG-PET-MRI for early diagnosis of corticobasal syndrome

    I. Guan, C. Stahl, K. Astudillo, T. Shepherd, S. Frucht, G. Riboldi (New York, USA)

    Objective: To characterize brain fluorodeoxyglucose (FDG) PET-MRI findings in patients with corticobasal syndrome (CBS) and evaluate its utility in early diagnosis of Corticobasal Degeneration (CBD)…
  • 2023 International Congress

    Predictive model for Identification of device-aided therapy (DAT) Candidates in Parkinson´s Disease (DELIST-PD Study)

    E. Freire-Alvarez, I. Legarda Ramirez, R. Garcia-Ramos, F. Carrillo, D. Santos-Garcia, JC. Gomez-Esteban, JC. Martinez-Castrillo, I. Martinez-Torres, CJ. Madrid Navarro, MJ. Perez Navarro, F. Valero Garcia, B. Vives Pastor, L. Muñoz-Delgado, B. Tijero, C. Morata-Martinez, R. Aler, IM. Galvan, F. Escamilla-Sevilla (Elche, Spain)

    Objective: To develop a classification algorithm based on machine learning to identify candidates for device-aided therapy among patients with Parkinson's disease (PD). Background: DATs (deep…
  • 2023 International Congress

    Correlation between fatigue, sleep dysfunction and health-related quality of life in Parkinson’s disease patients

    EL. Ungureanu, S. Berzunțeanu, ș. Diaconu, A. Zârnoveanu, T. Drăgan, B. Ciocănescu, R. Filip, N. Enache, C. Falup-Pecurariu (Brasov, Romania)

    Objective: To determine the correlation between fatigue, sleep dysfunction and health-related quality of life in Parkinson’s disease (PD) patients. Background: Fatigue and sleep dysfunction are…
  • 2023 International Congress

    Obesity is a protective factor for the development of Parkinson’s disease in participants of the Framingham Heart Study Cohort

    S. O'Shea, Y. Liu, C. Liu, S. Frank, R. Au (New York, USA)

    Objective: To determine the role of obesity in the development of Parkinson's disease in a retrospective matched cohort study. Background: Parkinson’s disease (PD) is a…
  • 2023 International Congress

    How do recently diagnosed individuals with Parkinson’s self-monitor their Parkinson’s symptoms between consultations?

    J. Domingos, J. Dean, C. Godinho, J. Belo, S. Gow, D. Falconer (Nijmegen, Netherlands)

    Objective: To determine how recently diagnosed people with Parkinson's monitor their Parkinson's symptoms in between medical consultations. Background: Patients monitoring symptoms and reporting them accurately…
  • 2023 International Congress

    Safety profile of pimavanserin therapy in elderly patients with neurodegenerative disease-related neuropsychiatric symptoms: a Phase 3b study

    G. Alva, W. Cubala, A. Berrio, V. Abler, S. Pathak (Costa Mesa, USA)

    Objective: To evaluate the safety profile of pimavanserin in patients with neuropsychiatric symptoms related to neurodegenerative disease (NDD). Background: Patients with NDD including Parkinson’s disease…
  • 2023 International Congress

    Risk and protective factors in Parkinson’s disease: a simultaneous and prospective study with linear and machine learning models

    MI. de Bartolo, A. Gialluisi, S. Costanzo, D. Belvisi, S. Falciglia, M. Ricci, A. Di Castelnuovo, T. Panzera, MB. Donati, G. Fabbrini, G. de Gaetano, A. Berardelli, L. Iacoviello (Pozzilli, Italy)

    Objective: To identify which risk/protective factors influenced most incident Parkinson's disease (PD) risk in a population of almost 24,000 Italian citizens, using both classical statistical…
  • 2023 International Congress

    Potential genetic link between type I diabetes and Parkinson’s disease.

    K. Senkevich, P. Alipour, E. Chernyavskaya, E. Yu, A. Noyce, Z. Gan-Or (Montreal, Canada)

    Objective: To examine whether type 1 diabetes (T1D) is genetically or causally associated with Parkinson’s disease (PD). Background: Previous epidemiological and mendelian randomization studies demonstrated…
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