MDS Abstracts

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

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  • MDS Virtual Congress 2020

    Effect of herbal medicine against Parkinson’s Diseases- An in silico studies

    S. Subramani, Y. Gupta, R. Sharma, P. Prasad (Gwalior, India)

    Objective: To evaluate the effect of the bioactive compounds of Gymnema sylvestre on treatment of Parkinson’s diseases. Background: Neurodegenerative diseases, such as Parkinson’s and Alzheimer’s,…
  • MDS Virtual Congress 2020

    Comparison of 123I-MIBG myocardial scintigraphy and 123I-FP-CIT SPECT between dementia with Lewy bodies and Parkinson’s disease

    Y. Asahara, S. Miyagawa, M. Suzuki (Tokyo, Japan)

    Objective: ​​​​​The objective of this study was to compare the nuclear medicine images of dementia with Lewy bodies (DLB) ​​and Parkinson's disease (PD) patients and to extract findings…
  • MDS Virtual Congress 2020

    Dyskinesia and bradykinesia severity patterns in Parkinson’s disease using a wearable sensor

    D. van Wamelen, T. Bendriss-Otiko, A. Podlewska, V. Leta, C. Lazcano Ocampo, D. Trivedi, K. Ray Chaudhuri (London, United Kingdom)

    Objective: To determine if dyskinesia and bradykinesia severity has a diurnal pattern in Parkinson’s disease (PD) using wearable sensor data. Background: Diurnal fluctuations in PD…
  • MDS Virtual Congress 2020

    The role of attention networks in walking in Parkinson’s disease

    R. Drake, G. Eskes (Halifax, NS, Canada)

    Objective: To better understand how different attention networks contribute to walking. Background: Parkinson’s disease (PD) is often characterized by effortful, fall-prone walking. PD can also…
  • MDS Virtual Congress 2020

    Object and action naming test in cognitive subtypes in nondemented patients with Parkinson´s disease

    A. Kušnírová, Z. Košutzká, M. Hajdúk, M. Králová, M. Pápayová, M. Egryová, P. Valkovič, Z. Cséfalvay (Bratislava, Slovakia)

    Objective: The aim of our study was to identify more homogenous profiles of patients with Parkinson´s disease (PD) without cognitive decline and to compare language…
  • MDS Virtual Congress 2020

    Premature Cognitive Decline in Young Veterans with mTBI: A Possible Prodromal Signature of Early Stage Parkinson’s Disease

    V. Nejtek, M. Salvatore, R. James, H. Alphonso (Fort Worth, TX, USA)

    Objective: To investigate the hypothesis that young veterans with (+) mTBI will show premature cognitive decline that is similar to executive functioning of Parkinson’s disease…
  • MDS Virtual Congress 2020

    Cognitive function and quality of life in Parkinson’s disease: A cross-sectional study

    Y.L Tang, X.L Liang, LL. Han, J.T Yu, J. Wang (Shanghai, China)

    Objective: We aimed to determine how the cognitive domains affect quality of life (QoL) in different cognitive states in PD. Background: Parkinson’s disease with mild…
  • MDS Virtual Congress 2020

    The study of the role of genetic risk factors in levodopa-induced dyskinesia development in Russian patients with Parkinson’s disease: a pilot study

    G. Akhmadeeva, I. Khidiyatova, I. Gilyazova, A. Baitimerov, G. Tayupova, R. Magzhanov (Ufa, Russian Federation)

    Objective: The aim of our study is to search for genetic risk factors for the development of motor side effects of dopaminergic therapy, such as…
  • MDS Virtual Congress 2020

    Virtual Assessment of LRRK2 Carriers to Optimize Research in Parkinson Disease (VALOR-PD): A Comparison to Traditional Cohorts

    S. Jensen-Roberts, T. Myers, K. Amodeo, S. Sharma, R. Alcalay, E. Dorsey, R. Holloway, R. Schneider (Rochester, NY, USA)

    Objective: To compare a national virtual cohort of LRRK2 G2019S carriers, identified via a personal genetics company, to existing traditional cohorts. Background: Advancements in personal…
  • MDS Virtual Congress 2020

    Biomarker Discovery in Parkinson’s disease using Machine Learning on Public Multi-omic Datasets: A Pilot Study

    M. Makarious, H. Iwaki, C. Blauwendraat, H. Leonard, S. Hashemi, J. Kim, K. Van Keuren-Jensen, D. Craig, E. Appelmans, L. Smolensky, M. Bookman, A. Singleton, F. Faghri, M. Nalls (Bethesda, MD, USA)

    Objective: In this study, we use machine learning (ML) as a framework for biomarker studies to assess if multiple modalities in the same model perform…
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