MDS Abstracts

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

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Articles tagged "Magnetic resonance imaging(MRI)"

  • 2022 International Congress

    Artificial Intelligence based detection of Parkinson’s disease in Magnetic Resonance Imaging brain scans

    M. Courtman, M. Thurston, L. Mcgavin, C. Carroll, L. Sun, E. Ifeachor, S. Mullin (Plymouth, United Kingdom)

    Objective: To use an artificial intelligence (AI) based framework to detect Parkinson's disease (PD) in Magnetic Resonance Imaging (MRI) brain scans. Background: Candidate neuroprotective treatments…
  • 2022 International Congress

    Patient-specific multivariate gray matter volumetric distance to predict disease severity in Parkinson’s disease

    A. Vijayakumari, H. Fernandez, B. Walter (Cleveland, USA)

    Objective: Identifying novel biomarkers to predict disease progression is of paramount importance in patients with Parkinson’s disease (PD). In this study, we utilized Structural Magnetic…
  • 2022 International Congress

    White matter microstructural differences between essential tremor and Parkinson’s disease evaluated using advanced MRI biomarkers

    M. Bergamino, S. Aslam, J. Knittel, M. Olson, A. Stokes (Phoenix, USA)

    Objective: To study white matter differences between essential tremor (ET) and Parkinson’s disease (PD) using standard diffusion tensor magnetic resonance imaging (DTI) and fixel-based analysis.…
  • 2022 International Congress

    Distinct Patterns of Tremor Network Microstructure for Essential Tremor and Parkinson’s Disease

    T. Welton, A. Ong, S. Hartono, Y-C. Shih, A. Lee, E-K. Tan, L-L. Chan (Singapore, Singapore)

    Objective: We aimed to identify differential patterns of aberrant tremor network microstructure using DSI among the following groups: (1) ET, (2) PD, and (3) healthy…
  • 2022 International Congress

    Efficacy of Magnetic resonance-guided focused ultrasound thalamotomy (MRgFUS thalamotomy) for refractory essential tremor (ET)-single center experience.

    T. Fay-Karmon, U. Kozlov, S. Anis, R. Shpigelman, S. Israeli-Korn, S. Hassin-Baer, Z. Zivli (Ramat Gan, Israel)

    Objective: To assess the efficacy of MRgFUS thalamotomy in patients with ET. Background: MRgFUS thalamotomy can improve tremor in patients with  refractory ET[1]. Method: Data…
  • 2022 International Congress

    Juvenile Huntington’s Disease in Tunisia: Clinical Diversity and Literature review

    H. Nehdi, E. Chebbi, F. Nabli, Z. Saied, S. Ben Sassi, R. Amouri (Tunis, Tunisia)

    Objective: We conducted the first JHD clinical and molecular features in Tunisia and North Africa, contributing to better understanding the diverse manifestation of the disease…
  • 2022 International Congress

    Volumetric analysis of the Corpus Callosum in Hereditary Cerebellar Ataxia

    A. Adarmes Gomez, M. Reina, M. Grothe, M. Labrador-Espinosa, S. Jesus, D. Garcia, L. Muñoz-Delgado, F. Carrillo-Garcia, P. Mir (Sevilla, Spain)

    Objective: To analyze corpus callosum (CC) volumes on MRI in patients under follow-up for confirmed or suspected hereditary cerebellar ataxia Background: It is recognized that…
  • 2022 International Congress

    Alterations of the gustatory circuit underly taste disturbances after lesional tremor therapy with MRgFUS

    V. Purrer, N. Upadhyay, V. Borger, C. Schmeel, H. Boecker, U. Wuellner (Bonn, Germany)

    Objective: Identification of structural brain alterations in patients with essential tremor (ET) reporting taste disturbances after magnetic resonance-guided focused ultrasound (MRgFUS) treatment. Background: Paraesthesias and…
  • 2022 International Congress

    Delayed Osmotic Demyelination Syndrome- An Evolving Spectrum

    S. Garg, K. Shetty (Bengaluru, India)

    Objective: To report a case of osmotic demyelination syndrome (ODS) with continuing clinical and radiological worsening beyond its previously established temporal course. Background: ODS is…
  • 2022 International Congress

    CerebNet: Deep learning cerebellar subsegmentation for fast and reliable atrophy quantification

    J. Faber, D. Kuegler, E. Bahrami, L. Heinz, D. Timmann, T. Ernst, K. Deike-Hofmann, B. Vande Warrenburg, G. Oz, J. van Gaalen, J. Joers, K. Reetz, T. Klockgether, M. Reuter (Bonn, Germany)

    Objective: Establish a fast and reliable automatic tool for cerebellar subsegmentation. Background: Quantifying the volume of the cerebellum and its lobes is of profound interest…
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