MDS Abstracts

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

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Articles tagged "Microelectrode recording"

  • 2023 International Congress

    “Grab-the-lock test “ – A novel clinical test for identification of dorsolateral Subthalamic nucleus [STN] during deep brain stimulation [DBS]

    A. Panwar, N. Sawal, M. Matta (SAS Nagar, India)

    Objective: The  target during STN DBS  for Parkinson’s disease is the dorsolateral STN which plays a major role in motor functions in contrast to the venteromedial…
  • 2023 International Congress

    Movement-related modulation of beta/high frequency oscillations and low-beta pallido-cortical coherence in Parkinson’s disease.

    J. Aman, L. Johnson, J. Wang, D. Escobar Sanabria, M. Hill, S. Alberico, K. O'Neill, R. Patriat, N. Harel, S. Cooper, D. Darrow, R. Mcgovern Iii, M. Park, J. Vitek (Minneapolis, USA)

    Objective: To characterize changes in synchronized oscillatory activity and coherence between the globus pallidus (GPi) and primary motor cortex (M1) of Parkinson’s disease (PD) patients…
  • 2023 International Congress

    Aging brain in Parkinson`s: A study through biomarkers

    V. Rama Raju (Hyderabad, India)

    Objective: Ongoing research of electrophysiological characteristics in Parkinson`s do not take aging brain into account. So, we aim is to show impact of aging on…
  • 2023 International Congress

    Deep brain stimulation and fusion technologies: a synthesis study

    V. Rama Raju (Hyderabad, India)

    Objective: The major thrust is analyzing the large amounts data computationally generated and synthesizing it into useful systems-wide models of biological processes. Background: It is…
  • 2023 International Congress

    Microelectrode recording with subthalamic nuclei deep brain stimulation encompass neuro-electro physiological beta oscillations footmarks in Parkinson`s cardinal motor symptoms sub-types

    L. Neerati, G. Rama Raju, R. Venkateshwara (Hyderabad, India)

    Objective: To examine the behavioral-activity within sub bands of β-beta-oscillated local field potentials(‘LFP’) acquired through microelectrode recording(MER) from STN sub areas offer distinctive neuro-electro physiological…
  • 2022 International Congress

    Validation of Direct/Indirect targets with intra-operative clinical assessment in the Indian population & comparison with image guided and MER based targeting for Subthalamic Nucleus(STN) based Deep Brain Stimulation(DBS) in Parkinson’s disease(PD)

    A. Uppar, D. Srinivas, R. Yadav, P. Pal, V. Holla (BANGALORE, India)

    Objective: This study attempts to validate the relationship between Direct-D, indirect-ID coordinates for STN in Indian subjects.  Also, this study tries to compare the D,…
  • 2022 International Congress

    Electrophysiology marker of levodopa induced dyskinesia in Parkinson disease

    H. Hawong, K. Chung, N. Swann (PORTLAND, USA)

    Objective: To review various electrophysiology markers of levodopa induced dyskinesia (LID) investigated in current studies and the pathophysiology of LID in the context of abnormal…
  • 2022 International Congress

    Pallidal firing rate and alpha oscillations correlate with the severity of clinical symptoms in patients with dystonia

    U. Semenova, R. Medvednik, A. Tomskiy, V. Popov, A. Sedov (Moscow, Russian Federation)

    Objective: To examined how pallidal activity correlates with symptom severity across dystonic patients. Background: The internal segment of globus pallidus (GPi) is the most common…
  • 2022 International Congress

    Oscillatory activity of pause-burst STN neurons shows an association with motor symptoms of Parkinson’s disease

    E. Belova, V. Filyushkina, I. Dzhalagoniia, A. Gamaleya, A. Tomskiy, A. Sedov (Moscow, Russian Federation)

    Objective: Here we aimed to investigate heterogeneity in the neuronal activity within the subthalamic nucleus (STN) to search the association between oscillatory activity and motor…
  • 2022 International Congress

    Machine learning supervised classification study for Parkinson`s disease progression through graph-based feature selection method

    V. Rama Raju, G. Ramaraju, V. Ramaraju (hyderabad, India)

    Objective: The model helps neuro physicians/ neurologists to improve the PD symptoms, or therapeutic-treatment planning-procedures. Background: Artificial intelligence-based machine learning (AI-ML) supervised classification systems have…
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