MDS Abstracts

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

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Articles tagged "Electroencephalogram(EEG)"

  • 2023 International Congress

    Data-driven Clustering of Neurodegenerative diseases based on EEG Spectrum power-law decay: the DaCNES Study.

    G. Mostile, R. Terranova, G. Carlentini, C. Terravecchia, G. Donzuso, G. Sciacca, C. Cicero, A. Luca, A. Nicoletti, M. Zappia (Catania, Italy)

    Objective: To test accuracy of the power law exponent β applied to EEG in differentiating neurodegenerative diseases and to explore differences in neuronal connectivity among…
  • 2023 International Congress

    Tai Chi training of people with Parkinson’s disease (PD) – neuropsychological and electrophysiological analyses

    U. Gschwandtner, K. Toloraia, M. Atanasova, TM. Al Tawil, S. Elsas, P. Fuhr (Basel, Switzerland)

    Objective: To analyze the influence of Tai Chi training on neurological changes, neuropsychology, quality of life (QoL) and EEG in PD patients. Background: Besides pharmacological…
  • 2023 International Congress

    Neuropathic mechanism of paroxysmal kinesigenic dyskinesia based on EEG

    XJ. Huang, HC. Luo, TF. Yuan, L. Cao (Shanghai, China)

    Objective: To disclose the neural mechanism of paroxysmal kinesigenic dyskinesia (PKD) based on the findings from high-density electroencephalogram (hd-EEG) and to explore a neural biomarker for…
  • 2023 International Congress

    Utility of quantitative EEG during sleep as a potential biomarker of Lewy body disease progression

    E. Matar, K. Ehgoetz Martens, R. Grunstein, A. D'Rozario, S. Lewis (Sydney, Australia)

    Objective: Objective: To assess whether progression from isolated REM sleep behaviour disorder (iRBD), established Parkinson’s disease (PD) and Dementia with Lewy bodies (DLB) are accompanied…
  • 2023 International Congress

    Linking volume of tissue activated to neural oscillations in deep brain stimulation

    A. Kutuzova, C. Graef, B. Lonergan, Y. Tai, S. Haar (London, United Kingdom)

    Objective: Exploring the effect of deep brain stimulation (DBS) settings on neural oscillations in Parkinson’s disease (PD) patients with subthalamic nucleus (STN) DBS and their…
  • 2023 International Congress

    Cognitive Interference in Postural Control as a Diagnostic and Prognostic Biomarker in Parkinsonian Disorders.

    R. Lloyd, C. Fearon, R. Reilly (Dublin, Ireland)

    Objective: The purpose of this research is to explore whether Progressive supranuclear palsy (PSP) patients display distinct sway patterns compared to idiopathic Parkinson's disease (PD)…
  • 2023 International Congress

    Mobile Brain / Body Imaging in early Parkinson’s Disease: the Twin Brain project

    M. Ajcevic, A. Buoite Stella, A. Miladinovic, M. Peskar, M. Kalc, T. Lombardo, M. Deodato, M. Catalan, U. Marusic, P. Manganotti (Trieste, Italy)

    Objective: We aimed to setup a novel Mobile Brain / Body Imaging (MoBI) system and to perform a feasibility study for the future investigations of…
  • 2023 International Congress

    Chronic sensorimotor cortex sensing using permanently implanted subgaleal leads in a patient receiving deep brain stimulation for Parkinson’s disease

    S. Sandoval-Pistorius, R. Fernandez-Gajardo, S. Cernera, P. Starr (San Francisco, USA)

    Objective: Assess the feasibility of chronic subgaleal cortical sensing using two distinct recording leads. Background: Pathological oscillatory activity in cortico-basal ganglia (BG) circuits is implicated…
  • 2022 International Congress

    Role of surface EMG analysis in distinguishing clonic seizures from tremors

    H. Ticku, N. Fotedar (Cleveland, USA)

    Objective: To compare surface EMG characteristics of clonic seizures with tremors. Background: Clonic seizures can clinically mimic tremors. In cases with poor or no EEG…
  • 2022 International Congress

    Cortical oscillatory feature-based classification of Parkinson’s disease with freezing gait

    A. Singh, S. Roy, KC. Santosh (Vermillion, USA)

    Objective: The objective of this study was to determine the resting-state cortical oscillations and the machine learning model that best classifies Parkinson’s disease (PD) patients…
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