MDS Abstracts

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

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  • MDS Virtual Congress 2021

    LFP spectral features associated with therapy complications in typical and early onset Parkinson’s disease

    E. Belova, U. Semenova, A. Gamaleya, A. Tomskiy, A. Sedov (Moscow, Russian Federation)

    Objective: The aim of this study was to search for potential markers in the subthalamic nucleus activity of parkinsonian patients associated with levodopa-induced dyskinesias in…
  • MDS Virtual Congress 2021

    Emotional stress exacerbates parkinsonian resting tremor

    R. Blakemore, M. Pascoe, D. Myall, M. Macaskill, T. Anderson (Dunedin, New Zealand)

    Objective: To examine the role emotions may play in modulating the characteristics of parkinsonian resting tremor. Background: There is ample evidence showing cognitive stress can…
  • MDS Virtual Congress 2021

    Impact of the postural function сhanges on quality of life and daily activity in patients with Parkinson’s disease during DBS

    A. Buniak, S. Likhachev (Minsk, Belarus)

    Objective: Quality of life (QOL) and activity of daily living (ADL) in PD patients depends on the severity of motor disorders, including changes of postural…
  • MDS Virtual Congress 2021

    The aperiodic component of cortical Local Field Potentials is affected in Parkinson’s Disease and Essential Tremor.

    A. Bush, J. Zou, W. Lipski, RM. Richardson (Boston, USA)

    Objective: Characterize the pathophysiology of Parkinson’s Disease (PD) and Essential Tremor (ET) in terms of cortical and subcortical aperiodic neural activity. Background: Classical analysis of…
  • MDS Virtual Congress 2021

    Patient classification for adaptive deep brain stimulation

    W. Chen, R. Gilron, S. Burden, B. Pepin, P. Starr (San Francisco, USA)

    Objective: To explore a control theory modeling framework to classify which Parkinson’s disease patients may benefit from adaptive deep brain stimulation. Background: Deep brain stimulation…
  • MDS Virtual Congress 2021

    Decrease in STN high frequency activity after microelectrode insertion during DBS surgery for Parkinson’s disease

    A. Clark, A. Izadi, J. Overton, K. O'Connor, G. Gurkoff, I. Saez, K. Shahlaie (Sacramento, USA)

    Objective: To examine the effects of microelectrode penetration into the STN on local field potential recordings in patients with PD undergoing bilateral STN DBS implantation.…
  • MDS Virtual Congress 2021

    Movement vigor is differentially encoded in motor cortex and globus pallidus in Parkinson disease

    K. Cross, E. Koenig, J. Choi, N. Pouratian (Los Angeles, USA)

    Objective: To test the hypothesis that pallidocortical local field potential (LFP) beta oscillations encode movement vigor. Background: Recent work suggests the motor basal ganglia adjusts…
  • MDS Virtual Congress 2021

    Long-term effect of safinamide on primary motor cortex excitability and plasticity in Parkinson’s disease: a TMS study

    V. D'Onofrio, A. Guerra, F. Asci, G. Fabbrini, A. Berardelli, A. Suppa (Rome, Italy)

    Objective: To examine the long-term effect of chronic treatment with safinamide 100 mg/day on specific Transcranial Magnetic Stimulation (TMS) measures of primary motor cortex (M1)…
  • MDS Virtual Congress 2021

    Beta synchronization of the subthalamic nucleus during self-initiated and externally generated movement in parkinsonian patients in OFF and ON states

    V. Filyushkina, E. Belova, S. Usova, A. Tomskiy, A. Sedov (Moscow, Russian Federation)

    Objective: The aim of this study is to estimate the level of beta synchronization of the subthalamic nucleus (STN) evoked by internally and externally generated…
  • MDS Virtual Congress 2021

    Preoperative EEG-based Machine Learning predicts cognitive deterioration after STN DBS in Parkinson’s Disease patients

    V. Geraedts, M. Koch, R. Kuiper, M. Kefalas, T. Bäck, J. van Hilten, H. Wang, H. Middelkoop, N. vd Gaag, MF. Contarino, M. Tannemaat (Leiden, Netherlands)

    Objective: To develop an automated Machine Learning model based on preoperative electroencephalography data to predict cognitive deterioration one year after subthalamic Deep Brain Stimulation (STN…
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