MDS Abstracts

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

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Articles tagged "Parkinson’s"

  • MDS Virtual Congress 2021

    Structural and functional cerebellar alterations in Parkinson’s disease with postural instability and gait disorders

    A. Gardoni, E. Sarasso, S. Basaia, MA. Volonté, M. Filippi, F. Agosta (Milan, Italy)

    Objective: This study aimed at assessing structural and functional cerebellar alterations in Parkinson’s disease patients with postural instability and gait disorders (PD-PIGD). Background: Brain structures…
  • MDS Virtual Congress 2021

    Relationship Between Hyposmia and Olfactory Network Connectivity in Patients With Parkinson’s Disease

    L. Pesantez Pacheco, S. Horovitz (Bethesda, USA)

    Objective: To examine resting-state functional Magnetic Resonance Imaging in a group of Parkinson’s Disease patients, used to characterize changes in functional connectivity of the olfactory…
  • MDS Virtual Congress 2021

    Regional brain iron and gene expression variation in Parkinson’s disease

    G. Thomas, A. Zarkali, M. Ryten, K. Shmueli, AL. Gil Martinez, LA. Leyland, P. Mccolgan, J. Acosta-Cabronero, A. Lees, R. Weil (London, United Kingdom)

    Objective: To shed light on the genes underlying increased cortical iron deposition in Parkinson’s disease (PD). Background: Oxidative stress secondary to brain iron accumulation is…
  • MDS Virtual Congress 2021

    The Effect of Darkness on Gait Parameters in Patients with Parkinson’s disease.

    P. Anukoolwittaya, P. Panyakaew, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To determine the effect of light on gait parameters in PD and compare to controls. Background: Falling in patients with Parkinson’s disease (PD) mostly…
  • MDS Virtual Congress 2021

    Surface EMG signal features of Parkinson’s disease may support interpretation of home-based measurement data

    S. Rissanen, M. Koivu, P. Hartikainen, A. Sinokki, P. Karjalainen, E. Pekkonen (Kuopio, Finland)

    Objective: To define reference values for surface electromyography (EMG) -based signal parameters in Parkinson's disease (PD) based on previously measured data. These reference values may…
  • MDS Virtual Congress 2021

    Is dopamine replacement therapy an addictive drug?

    V. Fleury, E. Pirondini, C. Provins, D. Benis, D. Vandeville, P. Krack (Geneva, Switzerland)

    Objective: To identify common clinical and imaging abnormalities in Parkinson's disease patients and heroin-dependent patients compared with healthy controls in order to better understand the pathophysiology…
  • MDS Virtual Congress 2021

    Obstructive sleep apnea and other vascular risk factors’ impact on Non-motor Symptoms in Parkinson’s Disease

    B. Meira, M. Fernandes, M. Salavisa, M. Saraiva, L. Conceiçao, C. Borbinha, F. Ladeira, JP. Marto, R. Barbosa, M. Mendonça, P. Bugalho (Lisbon, Portugal)

    Objective: To investigate the relationship between vascular comorbidity and non-motor symptoms in Parkinson’s Disease (PD) patients. Background: Previous studies suggested a significant association between the…
  • MDS Virtual Congress 2021

    Can we predict the development of REM sleep behavior disorder (RBD) in military veterans with Parkinson’s disease?

    A. Sarwar (Houston, USA)

    Objective: To study the predictive factors of REM sleep behavior disorder (RBD) in military veterans with Parkinson’s disease (PD. Background: REM sleep behavior disorder (RBD)…
  • MDS Virtual Congress 2021

    Improvement of excessive daytime sleepiness with low frequency repetitive transcranial magnetic stimulation in Parkinson’s disease: a preliminary sham-controlled study

    S. Zhuang, JJ. Wu, X. Gu, LX. Wang, XY. Zhang, CJ. Mao, J. Chen, CF. Liu (Suzhou, China)

    Objective: To explore whether repetitive transcranial magnetic stimulation (rTMS) can improve excessive daytime sleepiness (EDS) in individuals with Parkinson’s disease (PD). Background: Excessive daytime sleepiness…
  • MDS Virtual Congress 2021

    Gut microbiota in patients with Parkinson’s disease (PD) predicts disease progression better than clinical features

    H. Nishiwaki, M. Ito, T. Hamaguchi, T. Maeda, K. Kashihara, Y. Tsuboi, M. Masahisa, M. Hirayama, K. Ohno (Nagoya City, Japan)

    Objective: To compare machine-learning models to predict the progression of PD using gut microbiota and clinical features. Background: A total of 21 studies including ours…
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