MDS Abstracts

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

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Articles tagged "Magnetic resonance imaging(MRI)"

  • 2023 International Congress

    Is working memory training success in Parkinson’s disease determined by cortical thickness and white matter lesions?

    K. Giehl, H. Theis, A. Ophey, J. Hammes, P. Reker, C. Eggers, E. Kalbe, T. van Eimeren (Cologne, Germany)

    Objective: We aimed to evaluate the influence of cortical thickness (CT) and white matter lesions (WML) on working memory training (WMT) success in cognitively unimpaired…
  • 2023 International Congress

    Agreement between swallow tail sign asymmetry and clinical laterality in Parkinson’s disease

    M. Rohonczi, G. Perlaki, G. Hernádi, N. Kovács (Pécs, Hungary)

    Objective: Our goal was to evaluate the concordance between asymmetry in nigral hyperintensity detected with 3T MRI and clinical symptomatology. Background: A promising MRI marker…
  • 2023 International Congress

    Investigate the association of MAPT haplotype and neuroanatomical structure and its influence on the risk of Parkinson’s disease

    E. Yu, C. Tremblay, A. Vo, Y. Sosero, Z. Gan-Or, A. Dagher, L. Liu ()

    Objective: To investigate if the vulnerability of Parkinson’s Disease (PD) can be reflected in the neuroanatomical structure in different MAPT haplotype carriers. Background: It has…
  • 2023 International Congress

    Longitudinal imaging of regional volumes, presynaptic terminals and glucose metabolism in brains of people with early Huntington’s disease

    A. Delva, K. van Laere, W. Vandenberghe (Leuven, Belgium)

    Objective: To compare the sensitivity of 11C‑UCB‑J PET, 18F-FDG PET and volumetric MRI for detection of longitudinal brain changes in early Huntington’s Disease (HD). Background:…
  • 2023 International Congress

    Parkinsonism and dilated ventricles: not all hydrocephalus is normal-pressure

    D. Tang, J. Vijayan, CH. Tan, SF. Woo, JH. Tan (Singapore, Singapore)

    Objective: We discuss a patient with rapidly progressive parkinsonism with radiological features of normal pressure hydrocephalus, who was diagnosed with obstructive hydrocephalus secondary to intracranial…
  • 2023 International Congress

    Neuroimaging analysis of postural instability in Progressive Supranuclear Palsy: a Voxel‐based morphometry approach

    C. Calomino, MG. Bianco, J. Buonocore, F. Aracri, M. de Maria, A. Sarica, A. Quattrone (Catanzaro, Italy)

    Objective: The aim of the study was to identify the mainly brain regions involved in postural instability (PI) in Progressive Supranuclear Palsy (PSP) with a…
  • 2023 International Congress

    Cognitive flexibility associates with atrophy and disrupted connectivity of the cognitive cerebellum in degenerative cerebellar ataxia

    JH. Shin, HJ. Kim, SY. Lee, WT. Yoon, SW. Park, SM. Park, D. Yoo, JY. Lee (Seoul, Republic of Korea)

    Objective: This study was to investigate the features of cognitive flexibility in patients with degenerative cerebellar ataxia, and to identify the pathophysiological correlates of cognitive…
  • 2023 International Congress

    Habenula Volume in Mood Disorders in Parkinson’s Disease

    B. Samanci, Y. Temel, M. Kuijf, S. Tan, S. Michielse (Maastricht, Netherlands)

    Objective: To assess whether dysregulation of habenula (Hb) contributes to mood disorders in Parkinson’s disease (PD). Background: PD is often accompanied by mood disorders, such…
  • 2023 International Congress

    Accelerated longitudinal brain atrophy in the ‘diffuse malignant’ Parkinson’s disease subtype

    SM. Fereshtehnejad, R. Moqadam, R. Postuma, M. Dadar, Y. Zeighami (Ottawa, Canada)

    Objective: To investigate differential pattern of brain atrophy between Parkinson’s disease (PD) clinical subtypes using longitudinally acquired brain magnetic resonance imaging (MRIs). Background: Parkinson’s disease…
  • 2023 International Congress

    Leveraging MRI and machine-learning for early detection of cognitive impairment in Parkinson’s disease

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

    Objective: To develop a machine learning model using MRI data that predicts the likelihood of cognitive impairment in newly diagnosed patients with Parkinson's disease (PD).…
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