MDS Abstracts

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

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Articles tagged "Parkinson’s"

  • 2024 International Congress

    Early GBA-Related Parkinson’s Disease has a Distinct Clinical Phenotype and Cholinergic Innervation

    S. Slingerland, S. Zee, G. Carli, A. Slomp, E. D'Angremont, J. Boertien, T. Laar (Groningen, Netherlands)

    Objective: This study aims to characterize the clinical features and cholinergic innervation of early Parkinson’s disease (PD) patients with GBA mutations (GBA-PD). Background: The GBA-PD…
  • 2024 International Congress

    Synaptic Density Loss in Parkinson’s Disease Independent of Age: Preliminary Findings using [18F]SynVesT-1 PET Tracer

    S. Martin, C. Uribe, K. Desmond, N. Vasdev, A. Strafella (Toronto, Canada)

    Objective: To determine whether synaptic density differs in the brain of people with Parkinson’s disease and healthy controls using the [18F]-SynVesT-1 PET tracer. Background: The…
  • 2024 International Congress

    From Images to Insights: Subtyping Parkinson’s Disease Using Unsupervised Learning on MRI Data

    D. Teixeira-Dos-Santos, A. De-Oliveira-Franco, A. Bieger, C. Mattjie, F. Suzuki, G. Magalhães Pereira, J. Rossi Catao, L. Angi Souza, L. Silveira Kupssinskü, L. Vinícius Moura, MA. Machado Schlindwein, R. Ravazio, S. Duarte Pinto, T. Hugentobler Schlickmann, E. R. Zimmer, MA. de Bastiani, R. C. Barros, AF. Schumacher Schuh (Porto Alegre, Brazil)

    Objective: To explore the heterogeneity of Parkinson's disease (PD) using unsupervised clustering of neuroimaging data, aiming to identify distinct subtypes based on volumetric features. Background:…
  • 2024 International Congress

    Regional Brain Volume Differences Across PD Clinical Subtypes

    A. Eid, S. Grossen, A. Tanenbaum, J. Hood, H. Hwang, T. Cash, C. Lessov-Schlaggar, P. Kotzbauer, J. Perlmutter, M. Campbell (SAINT LOUIS, USA)

    Objective: To investigate brain morphometric differences across Parkinson disease (PD) clinical subtypes. Background: We developed a PD subtype classification with three subtypes that includes motor…
  • 2024 International Congress

    Deep brain stimulation Intraoperative imaging: False errors in the era of artificial intelligence

    V. Paramanandam, R. Alugolu, A. Sukumaran, R. Kandadai, R. Borgohain (Chennai,, India)

    Objective: To assess the precision of Deep Brain Stimulation (DBS) electrode placement within Subthalamic nucleus (STN) using Advanced Imaging and artificial intelligence, considering the challenges…
  • 2024 International Congress

    Deposition of phosphorylated TDP-43 around the tip of deep brain stimulation leads

    G. Beck, R. Yamashita, Y. Yonenobu, K. Maeda, S. Murayama, H. Mochizuki (Suita city, Japan)

    Objective: The objective of this study is to investigate the depositions of abnormal proteins, including phosphorylated tau (p-tau) and phosphorylated transactivation response DNA-binding protein of…
  • 2024 International Congress

    Evaluation of the results of neuromodulation of the Subthalamic Nucleus (STN) in patients with Parkinson’s Disease (PD) depending on the anesthesia used during stereotactic electrode implantation.

    V. Bayarchyk, A. Buniak (Minsk, Belarus)

    Objective: Comparison of the efficacy of STN neuromodulation after surgical intervention with Monitored Anesthesia Care (MAC) and using general anesthesia (GA). Background: The effectiveness of…
  • 2024 International Congress

    MRgFUS thalamotomy for tremor-predominant Parkinson´s disease: a single-center prospective study

    C. Ochoa-Lopez, A. Martín-Bastida, B. Garate-Andikoetxea, C. Sanchez-Catasus, A. Gorospe-Osinalde, A. Jiménez-Huete, I. Avilés-Olmos, A. Arcadi, LH. González-Quarante, J. Guridi, MC. Rodríguez-Oroz (Pamplona, Spain)

    Objective: To examine the clinical outcomes and their relationship with lesion characteristics at 6-month follow-up in TDPD patients Background: Clinical outcomes and lesion features after…
  • 2024 International Congress

    Artificial Intelligence and Visual Analysis of Movements in Parkinson’s Disease

    T. Okelberry, H. Beisar, S. Horev, E. Pinchuk, K. Lyons, R. Pahwa (Kansas City, USA)

    Objective: To evaluate the use of artificial intelligence in the analysis and classification of movements in Parkinson's disease. Background: Artificial intelligence (AI) is a powerful…
  • 2024 International Congress

    Acceptability and user experience of the electronic versions of the MDS-UPDRS and MDS-NMS scales

    M. Monje, R. Fuller, T. Turner, L. Chahine, K. Dujardin, C. Fitzer-Attas, S. Groppa, S. Perez-Lloret, J. Youn, S. Ali, P. Martinez-Martin, G. Stebbins, T. Mestre, A. Sánchez-Ferro (Chicago, USA)

    Objective: This study aims to evaluate the user experience of the newly developed electronic versions of the MDS Unified Parkinson's Disease Rating Scale (e-MDS-UPDRS) and…
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