MDS Abstracts

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

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Articles tagged "Chorea (also see specific diagnoses, Huntingtons disease, etc): Clinical features"

  • MDS Virtual Congress 2021

    Extending the spectrum of non-motor symptoms in pre-motor Huntington’s disease – a pilot study

    B. Heim, D. Valent, F. Carbone, S. Spielberger, F. Krismer, A. Djamshidian, K. Seppi (Innsbruck, Austria)

    Objective: The aim of this pilot study was to investigate change of olfactory functions in Huntington's disease. Background: Huntington's disease (HD) is a neurodegenerative disease…
  • MDS Virtual Congress 2021

    Fine-grained prediction of Huntington’s disease stage using a meta-model approach

    M. Kohli, S. Gregory, R. Scahill, S. Tabrizi, D. Alexander, P. Wijeratne (London, United Kingdom)

    Objective: We developed a machine learning (ML) framework that facilitates prediction of individual-level Huntington’s disease (HD) stage. The proposed meta-model approach classifies participants according to…
  • MDS Virtual Congress 2021

    Atypical gait in a patient with Huntington’s Disease (HD): Functional movement disorders in the spectrum of motor phenotypes in HD

    H. Leal Bailey, K. Block, E. Furr-Stimming, S. Chandra (Houston, USA)

    Objective: We describe a case of Huntington’s disease (HD) associated chorea and concurrent functional movement disorder (FMD). Background: HD is a neurodegenerative disorder characterized by…
  • MDS Virtual Congress 2021

    A screening tool to assess telehealth suitability among patients with Huntington’s disease

    S. Lee, L. Hale, K. Mcdonell (Nashville, USA)

    Objective: To evaluate a screening tool to assess telehealth (TH) suitability among Huntington’s disease (HD) patients Background: Extenuating patient circumstances [1] and COVID-19 necessitate greater…
  • MDS Virtual Congress 2020

    A Young Patient with Paroxysmal Choreoathetosis

    D. Di Luca, A. Milesi-Halle (Miami, FL, USA)

    Objective: To describe a rare pediatric movement disorders. Background: The differential diagnosis of paroxysmal movement disorders in children are broad and challenging. Early recognition by…
  • MDS Virtual Congress 2020

    Burden of Huntington’s disease (HD) on loss of employment status and its association with disease stage

    J. Ko, X. Lu, A. Exuzides, R. Fuller, J. Luo (South San Francisco, CA, USA)

    Objective: To evaluate the impact of HD on patients’ employment status and understand its association with disease stage. Background: Work disability is an important outcome…
  • MDS Virtual Congress 2020

    Remote monitoring of physical activity and falls in patients with Huntington’s disease using wearable sensors

    J. Adams, R. Dorsey, E. Waddell, M. Coffey, C. Tarolli, R. Schneider, M. Zahiri, A. Varizi, H. Nguyen (Rochester, NY, USA)

    Objective: To investigate the use of a novel tele-health system to remotely monitor physical activity and falls in patients with Huntington’s disease. Background: Increased physical…
  • MDS Virtual Congress 2020

    Chorea: A Case Series

    L. Diaz-Feliz, C. Feliz-Feliz, J. Lopez delVal, P. Garcia-Ruiz, M. Ruiz-Lopez (Madrid, Spain)

    Objective: To investigate and characterize the different causes of chorea in our cohort of patients and to compare phenotypically those with a positive and negative…
  • MDS Virtual Congress 2020

    TAU pathology contributes to specific patterns of structural brain damage and neuropsychological heterogeneity in Huntington’s disease

    S. Martinez-Horta, J. Perez-Perez, R. Perez-Gonzalez, A. Horta-Barba, F. Sampedro, E. Rivas-Asensio, T. Xucla, M. Guasch, A. Campolongo, C. Izquierdo-Barrionuevo, J. Pagonabarraga, J. Kulisevsky (Barcelona, Spain)

    Objective: Explore the associations between CSF levels of neurofilament light chain (Nfl), total TAU (tTAU) and phosphorylated TAU (pTAU), structural brain damage and cognitive performance…
  • MDS Virtual Congress 2020

    Automatic classification of abnormal movement in Huntington’s disease using wearable sensors and machine learning

    S. Aradi, R. Pierson, B. Scheid, S. Baldassano, B. Litt, P. Gonzalez-Alegre (Tampa, FL, USA)

    Objective: To integrate wearable sensors into brief clinical assessments and use machine learning to infer HD disease status and predict UHDRS motor subscores for specific…
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