MDS Abstracts

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

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  • 2024 International Congress

    Treatment of status dystonicus in children using pallidal deep brain stimulation

    A. Gamaleya, A. Poddubskaya, E. Makashova, S. Asriyants, A. Tomskiy (Moscow, Russian Federation)

    Objective: To study the implication of pallidal DBS in treatment of pediatric status dystonicus (SD). Background: SD or dystonic storm is an emergency condition caused…
  • 2024 International Congress

    Real-world Programming and Sensing from Adaptive Deep Brain Stimulation for Parkinson’s Disease in Japan

    G. Oyama, K. Kimura, H. Kishima, N. Murase, Y. Tsuboi, T. Tsuboi, T. Takezaki, Y. Higuchi, T. Hashimoto, Y. Shimo, T. Brionne, I. Buffin, K. Hidaka, F. Coletti, R. Amit, N. Morelli, H. Mure, H. Oshima (Tokyo, Japan)

    Objective: To characterize programming configurations and local field potentials (LFP) control parameters in a multicenter, real-world cohort of patients receiving deep brain stimulation (DBS) for…
  • 2024 International Congress

    Long-term follow up of unilateral deep brain stimulation for Parkinson’s disease

    F. Sarmento, A. Daga, A. Wang, T. de Araujo, S. Aghili-Mehrizi, J. K. Wong (Gainesville, USA)

    Objective: To assess long-term effectiveness of unilateral Deep Brain Stimulation (DBS) in Parkinson’s disease (PD) patients with up to 14 months of follow-up Background: DBS…
  • 2024 International Congress

    Viability and Accuracy of Visual Estimation in Determining Directional Deep Brain Stimulation Lead Orientation

    GA. Brandt, C. Vander Linden, C. Schedlich-Teufer, V. Visser-Vandevalle, MT. Barbe, TA. Dembek (Köln, Germany)

    Objective: To assess the viability and accuracy of visual estimation in determining directional deep brain stimulation (DBS) lead orientation. Background: Directional DBS leads show large…
  • 2024 International Congress

    12-month long-term outcomes of adaptive DBS using LFP sensing technology

    K. Kimura, H. Kishida, T. Kawasaki, N. Ueda, F. Tanaka (Yokohama, Japan)

    Objective: The aim of this study was to clarify the 12-month long-term outcome of Parkinson’s disease (PD) patients receiving adaptive DBS therapy. Background: During the…
  • 2024 International Congress

    Hierarchical Machine Learning Classification of Parkinsonian Disorders using Saccades

    O. Bredemeyer, S. Patel, J. Fitzgerald, C. Antoniades (Oxford, United Kingdom)

    Objective: To evaluate the discriminative power of a novel saccade waveform reconstruction approach compared to conventional saccadic metrics in differentiating Parkinson's disease (PD), progressive supranuclear…
  • 2024 International Congress

    Automatic detection of Freezing of gait in Parkinson’s disease with IMU: validation of a deep learning algorithm in the home.

    M. Goris, P. Yang, P. Ginis, B. Filtjens, B. Vanrumste, A. Nieuwboer, M. Gilat (Leuven, Belgium)

    Objective: To validate a deep learning (DL) algorithm to detect Freezing of gait (FOG) at home. Background: FOG is an episodic gait symptom of Parkinson’s…
  • 2024 International Congress

    Prediction of falls in PD over 5 years using kinematic data and machine learning

    C. Sotirakis, M. Brzezicki, S. Patel, J. Fitzgerald, N. Conway, C. Antoniades (Oxford, United Kingdom)

    Objective: This study aims to evaluate the potential of a wearable sensor-based walking and balance assessment to predict the risk of falling in individuals with…
  • 2024 International Congress

    Creating myPPMI: an Online Portal to Deliver Study Participant Content

    C. Stanley, J. Talarico, C. Fitzgerald, C. Destro, M. Mcguire Kuhl, J. Schulze, L. Heathers, E. Flagg, B. Mcmahon, T. Foroud, T. Tropea, K. Fabrizio, K. Marek (New Haven, USA)

    Objective: Building a centralized platform to collect patient reported outcomes and provide educational and informational content to participants Background: Patient portals are a valued healthcare…
  • 2024 International Congress

    White Matter Tractography in Spinocerebellar Ataxia type 1 and 2 in comparison with Healthy Controls

    P. Pankaj, A. Srivastava, M. Kumar, S. Kumaran, A. Garg, R. Agarwal, A. Nehra (New Delhi, India)

    Objective: To assess and quantify microstructural white matter atrophy in brain of spinocerebellar ataxia (SCA) types SCA1 and SCA2 patients in comparison with healthy subjects.…
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