MDS Abstracts

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

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  • 2025 International Congress

    Long-term analysis of subthalamic local field potentials (LFP) in Parkinson’s disease: Insights into circadian rhythms, medication, and personalized treatment effects

    V. Livneh, R. Naivelt, M. Zutta, Z. Katzir, R. Monteoriano, I. Strauss, K. Avirame, A. Socher, G. Morris, I. Maidan (Tel Aviv, Israel)

    Objective: investigate electrophysiological patterns related to circadian rhythms, medication intake & long-term DBS effects. Background: Deep brain stimulation (DBS) offers substantial and long-lasting motor improvements…
  • 2025 International Congress

    Organoid-Based AI Clinical Trial Platform for Phase 0 Studies in Parkinson’s Disease

    M. Choi, D. Kim (Daejoen, Republic of Korea)

    Objective: we developed an organoid-based AI-driven platform to classify patient specific molecular subtypes and predict drug efficacy through an AI-powered validation pipeline. Patient-derived induced pluripotent…
  • 2025 International Congress

    A Prospective, Observational Study to Identify Biomarkers in Parkinsonian Syndromes (proATYP).

    M. Makrygianni, D. Potamianou, T. Pipikos, M. Xilouri, C. Mourmouris, A. Sarafi, L. Florentin, M. Stamelou (Athens, Greece)

    Objective: This is a prospective observational study to identify biomarkers in parkinsonian syndromes. Background: Parkinson’s disease (PD) and atypical parkinsonian syndromes namely progressive supranuclear palsy…
  • 2025 International Congress

    Glossography – a novel, computer-vision based technique for assessing and treating involuntary tongue movements in dyskinetic episodes in Parkinson’s disease

    M. Brzezicki, M. Palczynski, E. Pilchowska-Ujma, O. Szymańska-Adamcewicz, N. Pawlak, P. Lesniak, S. Jurga (Oxford, United Kingdom)

    Objective: To develop and evaluate a novel deep learning-based computer vision approach for tracking tongue movements in Parkinson's disease (PD) patients with levodopa-induced dyskinesias to…
  • 2025 International Congress

    Daily Activity Analysis of Parkinson’s Disease Using Machine Learning with 3D Poses

    KD. Kim, S. Lyu, T. Dunn (Durham, USA)

    Objective: This study aims to find a digital behavioral marker Parkinson’s disease (PD) in activities of daily living via machine learning (ML) analysis of 3D…
  • 2025 International Congress

    Quantitative Measures of Cutaneous Phosphorylated Alpha-Synuclein: Powering a Disease Modification Clinical Trial In Parkinson’s Disease

    C. Gibbons, B. Bellaire, H. Khona, T. Levine, R. Freeman, B. Li, M. Dey, B. Henderson (Boston, USA)

    Objective: To use a novel quantitative assessment of cutaneous P-SYN in a pilot study of patients with Parkinson’s disease (PD) and healthy volunteers (HVs) to…
  • 2025 International Congress

    Repetitive Transcranial Magnetic Stimulation For Freezing Of Gait And Motor Function In Parkinson’s Disease: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials

    J. Pitton Rissardo, A. Fornari Caprara (Camden, USA)

    Objective: To evaluate the effects of repetitive transcranial magnetic stimulation (rTMS) on motor function, freezing of gait (FOG), and mobility in patients with Parkinson’s disease…
  • 2025 International Congress

    Novel Usage of Alpha Synuclein as a Biomarker for Screening Parkinson’s disease at Komfo Anokye Teaching Hospital in Ghana

    YAW. Osei, SF. Sarfo, FAY. Yeboah Agyemang (Kumasi, Ghana)

    Objective: This study aimed to assess the use of alpha-synuclein as a biomarker for PD screening and investigate its correlation with disease severity. Background: The…
  • 2025 International Congress

    Stratification study of alpha-synucleinopathy by body fluid biomarkers

    R. Kamo, A. Okuzumi, M. Iseki, T. Hatano, N. Hattori (Tokyo, Japan)

    Objective: This study aims to stratify patients with Parkinson's disease (PD) based on clinical features and several disease-associated biomarkers by analyzing the relationship between biomarkers,…
  • 2025 International Congress

    Plasma Biomarkers Predict Clinical Outcomes in Individuals with Neuronal α-Synuclein Disease and Amyloid-β Co-Pathology

    S. Lorkiewicz, C. Abdelnour, A. Smith, N. Siddiqui, L. Montoliu-Gaya, E. Wilson, N. Ashton, B. Arslan, M. Plastini, C. Young, J. Winer, M. Shahid-Besanti, H. Vossler, V. Ramirez, G. Kerchner, K. Andreasson, V. Henderson, T. Montine, L. Tian, E. Mormino, H. Zetterberg, K. Poston (Gothenburg, Sweden)

    Objective: We examined whether the plasma biomarkers pTau181, pTau217, GFAP, NfL, and Aβ42/40 are associated with cognitive, functional, and motor outcomes in individuals with neuronal…
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