MDS Abstracts

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

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  • 2019 International Congress

    “Poised for Parkinson’s”: Group classes in Alexander technique for managing symptoms of Parkinson’s disease

    M. Gross, R. Ravichandra, M. Norcia, R. Cohen (Moscow, ID, USA)

    Objective: To develop and test a group course using Alexander technique (AT) principles to improve functional mobility and quality of life for people living with…
  • 2019 International Congress

    The spectrum of involuntary vocalizations in humans

    T. Mainka, B. Balint, F. Gövert, L. Kurvits, C. van Riesen, A. Kühn, M. Tijssen, A. Lees, K. Müller-Vahl, K. Bhatia, C. Ganos (London, United Kingdom)

    Objective: To provide a detailed overview of the wide spectrum of involuntary vocalizations in humans, their etiologies and treatment recommendations. Background: Abnormal vocalizing behaviors are…
  • 2019 International Congress

    Assessment, identification and classification of movement disorders in 22q11.2 deletion syndrome

    W. Fung, A. Cunningham, T. Massey, J. Hall, M. Owen, M. Van-Den-Bree, K. Peall (Newport, United Kingdom)

    Objective: To assess the nature and frequency of movement disorders in children with molecularly confirmed 22q11.2 Deletion Syndrome. Background: 22q11.2 Deletion Syndrome (22q11.2DS) is a…
  • 2019 International Congress

    The Role of Environmental Toxins (Rotenone) in Parkinson’s Disease

    Z. Akbarkhodjaeva, DJ. Tursunov (Tashkent, Uzbekistan)

    Objective: Learn the role of environmental toxins - rotenone in development of Parkinson's disease Background: Rotenone is a powerful pesticide. It is also a lipophilic…
  • 2019 International Congress

    The Relationship of Neuropsychiatric Symptoms and Cognitive Impairment in Parkinson’s Disease

    B. Bernard, G. Stebbins, A. Negron, D. Merkitch, J. Goldman (Chicago, IL, USA)

    Objective: To assess the relationship between individual items from the Neuropsychiatric Inventory and five cognitive domains in patients with Parkinson's disease (PD) and normal cognitive…
  • 2019 International Congress

    The Influence of Sociodemographic Factors on Post-DBS Impulse Control Symptom Severity in Parkinson’s Disease

    H. Combs, A. Strutt, J. Jimenez-Shahed, N. Niemann, A. Viswanathan, M. York (Houston, TX, USA)

    Objective: To develop a model to predict changes in impulse control symptom severity (ICSS) following deep brain stimulation (DBS) in patients with Parkinson’s disease (PD).…
  • 2019 International Congress

    Relationships of gender, care models, and neuropsychiatric symptoms in Parkinson’s disease

    J. Goldman, S. Wu, C. Martinez-Rubio, V. Todaro (New York, NY, USA)

    Objective: To examine relationships among gender, care models, and presence and management of neuropsychiatric symptoms of Parkinson’s disease (PD). Background: Neuropsychiatric symptoms such as depression…
  • 2019 International Congress

    Cognitive impairment in patients with Parkinson’s Disease

    E. Kolupaeva, I. Zhukova, N. Zhukova, M. Nikitina, O. Izhboldina, I. Mironova, Z. Kislukhina (Tomsk, Russian Federation)

    Objective: The objective is to study the relation between cognitive impairment with the form and stage of PD. Background: Currently, there is a tendency of…
  • 2019 International Congress

    The radiofrequency (RF)-induced heating profile of an externalized, directional DBS lead using functional imaging sequences in an Intraoperative Magnetic Resonance Imaging Suite (IMRIS)

    P. Bhattacharyya, S. Jones, M. Lowe, M. Deblock, A. Machado, K. Baker (Cleveland, OH, USA)

    Objective: To characterize the RF-induced heating profile of the St. Jude Infinity lead within an IMRIS using a configuration that emulates intraoperative functional MRI during…
  • 2019 International Congress

    Classify Parkinson’s Disease with Mild Cognitive Impairment: Machine Learning Approach

    SS. Cho, C. Li, Y. Koshimori, J. Kim, L. Christopher, M. Dı´ez-Cirarda, M. Valli, A. Mihaescu, S. Houle, A. Strafella (Toronto, ON, Canada)

    Objective: To determine how multimodal neuroimaging data can contribute to the classification of Parkinson’s disease (PD) patients with mild cognitive impairment (MCI) from PD without…
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