MDS Abstracts

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

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  • 2023 International Congress

    Dynamic assessment of levels of depression and anxiety impairment in Parkinson’s disease

    O. Naimov, R. Matmurodov (Tashkent, Uzbekistan)

    Objective: To dynamic assessment of depression and anxiety disorders in Parkinson's disease. Background: One of the most common nonmotor disturbances in Parkinson's disease (PD) is…
  • 2023 International Congress

    Pareidolias and color discrimination deficits differently correlate with cognitive dysfunction in prodromal Lewy body disease

    S. Kim, JH. Choi, KA. Woo, JY. Joo, HJ. Chang, B. Jeon, JY. Lee (Seoul, Republic of Korea)

    Objective: To investigate color discrimination ability and complex visual illusions known as pareidolias, and their associating factors in patients with iRBD compared to PD and…
  • 2023 International Congress

    Caffeine Intake Interacts with Gene Variants in Parkinson’s disease

    E. Tan, Y. Ong, X. Deng, H. Li, D. Heng, K. Narasimhalu, L. Chan, P. Kumar, W. Au, P. Ratnagopal, L. Tan (Singapore, Singapore)

    Objective: We investigate interactions of caffeine intake with PD risk variants and determine PD risk estimates in caffeine-drinkers carrying these variants. Background: Caffeine intake reduces…
  • 2023 International Congress

    Altered nucleus accumbens functional connectivity precedes apathy in Parkinson’s disease

    L. Morris, S. Harrison, T. Melzer, J. Dalrymple-Alford, T. Anderson, M. Macaskill, C. Le Heron (Christchurch, New Zealand)

    Objective: To investigate whether changes in connectivity between neural regions that are associated with goal-directed behaviour predict future development of apathy in people with Parkinson’s…
  • 2023 International Congress

    Towards smart glasses for improved care of individuals with Parkinson’s disease

    I. Kiprijanovska, F. Panchevski, S. Stankoski, M. Gjoreski, J. Archer, J. Broulidakis, I. Mavridou, B. Hayes, T. Guerreiro, C. Nduka, H. Gjoreski (Brighton, United Kingdom)

    Objective: To evaluate the applicability of sensor-enabled smart glasses for remote tracking of symptoms related to Parkinson’s disease Background: Diagnosis and monitoring of PD by…
  • 2023 International Congress

    Trial protocol: Randomized double blind controlled study to investigate disease modifying effect, safety and optimal dose of oral semaglutide tablet for patients with Parkinson’s disease (MOST-ABLE study)

    Y. Kimura, T. Koda, H. Kurakami, S. Sakamoto, K. Iwasaki, H. Mochizuki (Suita, Osaka, Japan)

    Objective: This study aims to assess efficacy and disease modifying effect, safety, and optimal dose of oral semaglutide tablet, glucagon-like peptide-1 receptor agonists (GLP-1RAs), for…
  • 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…
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