MDS Abstracts

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

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Articles tagged "Magnetic resonance imaging(MRI)"

  • 2025 International Congress

    Brain Structural Impairment in Spinocerebellar Ataxia Type 6: Not Restricted to the Cerebellum

    B. Massuyama, T. Rezende, M. Junior, O. Barsottini, J. Pedroso (Campinas, Brazil)

    Objective: To characterize the structural brain signature in SCA6 patients. Background: Spinocerebellar ataxias (SCA) refer to a group of autosomal dominant ataxic disorders that result…
  • 2025 International Congress

    A Randomized Clinical Trial of Immersive Virtual Reality and Cognitive Rehabilitation for Mild Cognitive Impairment in Parkinson’s Disease

    A. Puig-Davi, A. Moreu-Valls, S. Martinez-Horta, G. Kulisevsky, J. Rodriguez-Antiguedad, A. Horta-Barba, J. Pagonabarraga, J. Kulisevsky (Barcelona, Spain)

    Objective: To investigate the efficacy of Immersive Virtual Reality (IVR) and Computerized Cognitive Training (CCT) for mild cognitive impairment in Parkinson’s disease (PD-MCI) Background: PD-MCI…
  • 2025 International Congress

    The Associations between Cognitive Reserve Proxies, Multimodal MRI Brain Measures and Cognition, Motor Function and Mood in Parkinson’s Disease

    I. Saywell, S. Sghirripa, A. Walls, A. Dwyer, B. Child, J. Salamon, S. Hansch-Maher, L. Collins-Praino, M. Jenkinson, I. Baetu (Adelaide, Australia)

    Objective: This study aimed to use multimodal MRI to explore the relative importance of cognitive reserve (CR) proxies, compared to CR- and Parkinson’s disease (PD)-related…
  • 2025 International Congress

    From Explainable AI to Biomarkers: Identifying Disease-Related Brain Regions in Spinocerebellar Ataxia Type 3

    P. Wegner, M. Ferreira, J. Theisen, T. Klockgether, J. Faber (Bonn, Germany)

    Objective: This study aims to classify healthy control (HC) participants, pre-symptomatic Spinocerebellar Ataxia Type 3 (SCA3) patients (preSCA3), and symptomatic SCA3 patients (SCA3) by processing…
  • 2025 International Congress

    A Case of CANVAS Misdiagnosed as Subacute Labyrinthitis and Meniere’s Disease

    Y. Nishonova, B. Mukhammedaminov, N. Aripova, L. Kenjaeva (Tashkent, Uzbekistan)

    Objective: To report a case of CANVAS initially misdiagnosed as subacute labyrinthitis and Meniere’s disease, highlighting the diagnostic challenges and the importance of recognizing this…
  • 2025 International Congress

    Sleep-wake Alterations are Associated with a Decreased DTI-ALPS, a Marker of Perivascular Glymphatic Functioning, in Patients with Isolated REM Sleep Behavior Disorder

    I. Roura, J. Pardo, C. Martín-Barceló, C. Falcon, R. Sala-Llonch, C. Garcia-Vicente, N. Bargalló, M. Serradell, C. Gaig, G. Mayà, A. Montini, J. Madrir, M. Rol, A. Adan, C. Junqué, A. Iranzo, B. Segura (Barcelona, Spain)

    Objective: We aimed to explore circadian disruption in iRBD and its association with the Diffusion Tensor Imaging- ALong the Perivascular Space (DTI-ALPS) index, a proxy…
  • 2025 International Congress

    Subthalamic nucleus DBS outcomes correlate with white matter tractography in Parkinson’s Disease

    I. Campbell, V. Del Bene, R. Martin, C. Gonzalez, S. Brinkerhoff, M. Wade, B. Hill, H. Walker, V. Mishra (Mobile, USA)

    Objective: To assess whether advanced diffusion magnetic resonance imaging (dMRI) techniques help to understand the outcome of Deep brain stimulation (DBS) surgery on Unified Parkinson’s…
  • 2025 International Congress

    Clinical Experience with Mixed System Deep Brain Stimulation (DBS): Retrospective Analysis

    Y. Pathak, P. Waguespack, P. Silburn (Plano, USA)

    Objective: In this retrospective analysis, we aim to evaluate adverse events with mixed system DBS and rate of off-label clinical MRI. Background: The use of…
  • 2025 International Congress

    Brainstem Subsegmentation in Spinocerebellar Ataxia Type 3 (SCA3)

    K. Teichmann (Bonn, Germany)

    Objective: The aim of our work is to create a novel protocol for manual subsegmentation of the human brainstem for creating accurate brainstem labels for…
  • 2025 International Congress

    Machine-learning Prediction of Cognition in Parkinson’s disease: Benchmarking EEG Source Functional Connectivity and Structural MRI

    A. Tetereva, G. Hall-Mcmaster, N. Slater, A. Harris, R. Shoorangiz, C. Le Heron, R. Keenan, I. Kirk, W. Meissner, T. Anderson, T. Melzer, J. Dalrymple-Alford, N. Pat (Christchurch, New Zealand)

    Objective: To develop machine-learning neural biomarkers to predict cognition in Parkinson’s disease (PD). Background: Variable levels of cognitive impairment are found in PD[1,2], but optimal…
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