MDS Abstracts

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

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Articles tagged "Gait disorders: Clinical features"

  • 2019 International Congress

    Is sprint running exercise feasible, safe and enjoyable to subjects with mild-to-moderate Parkinson’s disease?

    E. Monteiro, L. Peyré-Tartaruga, E. da Silva, A. Zanardi, P. Jimenez-Reyes, J. Morin, A. Pagnussat (Porto Alegre, Brazil)

    Objective: To test the feasibility, safety, and acceptance of sprint running exercise in subjects with mild-to-moderate Parkinson’s disease (PD). Background: Positive effects of sprint running…
  • 2019 International Congress

    The effects of obstacle size and timing on prefrontal cortex activation in patients with Parkinson’s disease

    I. Maidan, T. Sharon, I. Kurz, H. Bernad-Elazari, S. Shustak, I. Galperin, N. Giladi, A. Mirelman, J. Hausdorff (Tel Aviv, Israel)

    Objective: To evaluate the effects of obstacle height and anticipation time on prefrontal cortex (PFC) activation in patients with Parkinson's disease (PD) and older adults.…
  • 2019 International Congress

    Clinical, motor and global cognition in patients with in early stages of Parkinson disease

    J. Orozco, J. Valderrama, Y. Castaño, J. Arango, A. Navarro, B. Muñoz (Cali, Colombia)

    Objective: To explore if balance and freezing of gait correlate with global cognition in patients with Parkinson disease in early stages. Background: Early alterations in…
  • 2019 International Congress

    Effectiveness on the balance and the walking of a program of home-rehabilitation by digital support versus paper book on Parkinson’s patients: a randomized controlled trial.

    M. Moreau, B. Fraudet, P. Gallien, B. Nicolas, E. Leblong (Rennes, France)

    Objective: The objective is to evaluate the effects on the balance and the walk of a program of 3 months of home-rehabilitation guided by digital…
  • 2019 International Congress

    Longitudinal progression of spatiotemporal parameters of turning in idiopathic Parkinson’s disease patients with Freezing of Gait

    L. Pillai, A. Glover, T. Virmani (Little Rock, AR, USA)

    Objective: To develop predictive algorithms for freezing of gait (FOG) in Parkinson’s disease (PD) using longitudinal objective assessment of turning behaviors. Background: Freezing of Gait…
  • 2019 International Congress

    Relationship between cognitive performance and mobility in patients with Parkinson´s disease: A cross-sectional study

    N. Sousa, R. Macedo, S. Brucki (Salvador, Brazil)

    Objective: To investigate the relationships between cognitive ability (global and single domain-executive functions) and gait performance (balance, gait speed and mobility) in patients with Parkinson's…
  • 2019 International Congress

    Assessment of the risk of falls in patients with Parkinson’s disease using Time Up and Go

    F. Sattolo, L. Rodrigues, L. Lima, M. Diogo, R. Guimarães (Campinas, Brazil)

    Objective: This study aimed to evaluate the risk of falls in patients participating in the group of physical activities for Parkinson's of UNICAMP using the…
  • 2019 International Congress

    Levodopa-carbidopa intestinal gel infusion: a video analysis of long-term effect on gait and posture

    C. Pongmala, M. Fabbri, CA. Artusi, M. Zibetti, L. Lopiano (Turin, Italy)

    Objective: To investigate the long-term effect of levodopa-carbidopa intestinal gel (LCIG) on gait and posture by means of both clinical and objective measures in Parkinson’s…
  • 2019 International Congress

    Associations of gait disorders and future falls in the elderly: a prospective population-based study

    K. Marini, P. Mahlknecht, O. Schorr, M. Baumgartner, A. Djamshidian, A. Gasperi, S. Kiechl, G. Rungger, H. Stockner, J. Willeit, W. Poewe, K. Seppi (Innsbruck, Austria)

    Objective: The aim of this prospective study was to investigate the association of gait disorders (GDs) and quantitative gait measures with future falls in an…
  • 2019 International Congress

    Identifying In-Clinic Wearable Sensor Features that Predict Parkinson’s Disease Severity

    A. Dowling, A. Mirelman, J. Hausdorff, M. Sela, O. Assais, N. Giladi, J. Cedarbaum (Cambridge, MA, USA)

    Objective: To identify features from wearable sensors that can predict disease severity as measured by the MDS-UPDRS. Background: Wearable sensors can provide quantitative assessments of…
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