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

    Contribution of MRI and machine learning approaches to the diagnosis of patients with early-stage parkinsonism in a situation of clinical uncertainty

    L. Chougar, A. Faucher, J. Faouzi, FX. Lejeune, F. Cormier, M. Vidailhet, O. Colliot, S. Lehericy, D. Grabli, B. Degos (PARIS, France)

    Objective: To determine whether MRI and machine learning approaches improve diagnostic accuracy in patients with early-stage parkinsonism compared to clinical criteria Background: Parkinson’s disease (PD)…
  • 2023 International Congress

    Imaging the noradrenergic system in Parkinson’s disease: A [11C]Yohimbine PET and neuromelanin MRI study

    C. Laurencin, S. Lancelot, M. Huddlestone, S. Brosse, I. Merida, N. Costes, J. Redouté, S. Thobois, P. Boulinguez, B. Ballanger (Lyon, France)

    Objective: To assess two aspects of the noradrenergic system using multimodal in vivo imaging in a sample of Parkinson’s disease (PD) patients and healthy controls…
  • 2023 International Congress

    Diagnosis of Parkinson’s disease, multiple system atrophy, and progressive supranuclear palsy with 7T-MRI substantia nigra imaging

    D. Su, Z. Zhang, Z. Zhang, T. Wu, J. Jing, T. Feng (Beijing, China)

    Objective: To detect the signal change of nigrosome-1 in 7T-MRI and its diagnostic and differential diagnostic efficacy as the imaging biomarker of PD, MSA-P, MSA-C…
  • 2023 International Congress

    White matter integrity in patients with PSP-RS and VaP: A TBSS Study

    K. Chatterjee, M. Tiwari, P. Basu, S. Choudhury, H. Kumar (Kolkata, India)

    Objective: The purpose of the present study was to compare alterations of brain white-matter microstructure and tissue integrity in PSP-RS and VaP patients using Diffusion…
  • 2023 International Congress

    Unique consecutive order of brain atrophy in spinocerebellar ataxia type 3 (SCA3)

    J. Faber, T. Klockgether, H. Baumeister, D. Berron (Bonn, Germany)

    Objective: The aim was to identify the sequence of brain regions becoming atrophic in the early phase of spinocerebellar ataxia type 3 (SCA3). Background: SCA3…
  • 2023 International Congress

    Neuromelanin related 7T MRI of the locus coeruleus differs between Parkinson’s disease and controls

    A. Wolters, M. Heijmans, N. Priovoulos, H. Jacobs, A. Postma, Y. Temel, M. Kuijf, S. Michielse (Maastricht, Netherlands)

    Objective: To compare the signal intensity of the substantia nigra and locus coeruleus on Magnetization Transfer 7T MRI between PD patients and healthy controls (HC)…
  • 2023 International Congress

    Neurological symptom severity in Wilson disease is associated with increased white matter mean diffusivity

    A. Hausmann, S. Kannenberg, C. Hartmann, J. Caspers, C. Rubbert, A. Schnitzler (Duesseldorf, Germany)

    Objective: To evaluate the relationship between white matter (WM) changes and neurological impairment in Wilson disease (WD). Background: Neuroimaging biomarkers derived from diffusion tensor imaging…
  • 2023 International Congress

    Explainable deep learning based detection of Parkinson’s changes in MRI brain scans

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

    Objective: A pilot study using an AI-based framework to classify routine brain scans as Parkinson’s disease (PD) or control. Background: Prospective neuroprotective treatments for PD…
  • 2023 International Congress

    Structural MRI and tremor analysis in the differential diagnosis of rest tremor

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

    Objective: This study aimed to differentiate between essential tremor with rest tremor (rET) and tremor-dominant Parkinson’s disease (td-PD) patients through a machine learning (ML) approach…
  • 2023 International Congress

    Artificial intelligence for the improvement of imaging biomarkers in Parkinson’s disease

    V. Dzialas, E. Doering, K. Simonyan, A. Strafella, D. Vaillancourt, T. van Eimeren (Cologne, Germany)

    Objective: To systematically review the current literature on the application of artificial intelligence (AI) for imaging biomarkers in Parkinson's disease (PD) and to identify translational…
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