MDS Abstracts

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

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  • 2022 International Congress

    Quantity detection of Substantia nigra hyperechogenicity based on digital image analysis for diagnosing Parkinson’s disease

    L. Gao, Z. Xue, X. Zhou (Nanchang, China)

    Objective: We aimed to apply digital analysis to quantify hyperechogenicity of Substantia nigra, and explore its clinical value for the diagnosis of PD. Background: Increased…
  • 2022 International Congress

    Multimodal MRI assessment of the substantia nigra in premotor and motor stages of parkinsonism

    J. Pasquini, MJ. Firbank, L. Best, V. Foster, V. Silani, G. Petrides, DJ. Brooks, KN. Anderson, N. Pavese (Newcastle upon Tyne, United Kingdom)

    Objective: To investigate substantia nigra (SN) MRI abnormalities through Neuromelanin (NM) and diffusion MRI (dMRI) with Neurite Orientation Dispersion and Density Index (NODDI) in the…
  • 2022 International Congress

    Cross-cultural validation of the Cebuano version of a screening questionnaire for Parkinson’s Disease

    D. Dakay, F. Tangcalagan, E. Villanueva Iii, J. Abejero, G. Saranza (Mandaue City, Philippines)

    Objective: To determine the validity of the Cebuano version of a PD screening questionnaire Background: In the Philippines, actual prevalence of Parkinson’s Disease (PD) is…
  • 2022 International Congress

    Selection of clinical doses for SBT101, an AAV9-hABCD1 vector for the treatment of adrenomyeloneuropathy

    D. Anderson, C. Maguire, C. Ng, Y. Gong, F. Eichler, S. Fourcase, C. Guilera, A. Pujol, A. Onieva, M. Leal-Julià, S. Verdés, A. Bosch, I. Dijkstra, S. Kemp, H. Park, T. Del Rio, T. Lutz, V. Vasireddy, S. Clark, K. Kozarsky (Bala Cynwyd, USA)

    Objective: To inform selection of doses of SBT101 for a first-in-human clinical study. SBT101 is an adeno-associated virus serotype 9 (AAV9)-based gene therapy candidate intended…
  • 2022 International Congress

    Functional validation of a mitochondria-specific polygenic risk score in patient-based models for stratification of idiopathic Parkinson’s disease

    G. Arena, Z. Landoulsi, A. Vitali, S. Delcambre, P. Antony, I. Boussaad, L. Pavelka, M. Sharma, E. Glaab, D. Grossmann, A. Grünewald, P. May, R. Krüger (Esch-sur-Alzette, Luxembourg)

    Objective: The overall objective of this project is to gain essential knowledge on the contribution of genetic variability in nuclear-encoded mitochondrial proteins to idiopathic Parkinson’s…
  • 2022 International Congress

    Biomarker based on natural language processing methods to detect the stages of Parkinson’s disease through electroencephalography

    A. Maitin, J. Morales, S. Romero-Azpitarte, J. Romero, A. Arroyo Ferrer, Y. González Zamorano, F. Sánchez Cuesta, A. García-Tejedor (Pozuelo de Alarcón, Spain)

    Objective: Stage classification of Parkinson's Disease (PD) through Electroencephalograms (EEGs) using Natural Language Processing (NLP) techniques. Background: PD is a neurodegenerative disease mainly characterized by…
  • 2022 International Congress

    Effect of levodopa-carbidopa intestinal gel on lower urinary tract symptoms in Parkinson’s disease: an Urodynamic study

    D. Rinaldi, O. Voglino, A. Tubaro, FE. Pontieri (rome, Italy)

    Objective: Here we report urodynamic results before and six months after LCIG treatment in PD patients suffering from LUTS. Background: Dopaminergic transmission plays a key…
  • 2022 International Congress

    Height and nigral neuron density in Parkinson’s disease

    L. Saari, E. Backman, P. Wahlsten, M. Gardberg, V. Kaasinen (Turku, Finland)

    Objective: To investigate the possible relationship between height and the density of neurons in the substantia nigra pars compacta (SNc). Background: The dopaminergic system modulates…
  • 2022 International Congress

    Cortical oscillatory feature-based classification of Parkinson’s disease with freezing gait

    A. Singh, S. Roy, KC. Santosh (Vermillion, USA)

    Objective: The objective of this study was to determine the resting-state cortical oscillations and the machine learning model that best classifies Parkinson’s disease (PD) patients…
  • 2022 International Congress

    Longitudinal predictors of functional dependence in a multicentric Parkinson’s Disease cohort

    S. Becker, B. Callahan (Calgary, Canada)

    Objective: To explore clinical and cognitive predictors of functional dependence in a cohort of early Parkinson’s Disease (PD) patients. Background: Parkinson’s Disease (PD) patients are…
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