Literature DB >> 30580247

Impairment of brain functions in Parkinson's disease reflected by alterations in neural connectivity in EEG studies: A viewpoint.

Martina Bočková1, Ivan Rektor2.   

Abstract

Clinical symptoms of Parkinson's disease (PD) are accompanied by pathological phenomena detected locally in the basal ganglia (BG) as changes in local field potentials (LFPs) and also in cortical regions by electroencephalography (EEG). The literature published mainly between 2000 and 2017 was reviewed with an emphasis on approaches emerging after 2000, in particular on oscillatory dynamics, connectivity studies, and deep brain stimulation. Eighty-five articles were reviewed. The main observations were a general slowing of background activity, excessive synchronization of beta activity, and disturbed movement-related gamma oscillations in the BG and in the cortico-subcortical and cortico-cortical motor loops, suppressible by dopaminergic medication as well as by high-frequency deep brain stimulation (DBS). Non-motor symptoms are related mainly to changes in the alpha frequency range. EEG parameters can be useful in defining the risk of dementia in PD. Further progress was reported recently using advanced analytical technologies and high-performance computing (graph theory). Detailed knowledge of LFPs in PD enabled progress particularly in DBS therapy, which requires optimizing the clinical effect and minimizing adverse side effects. The neurocognitive networks and their dysfunction in PD and DBS therapy are promising targets for future research.
Copyright © 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Deep brain stimulation; EEG; Functional connectivity; Graph theory; Local field potentials; Parkinson’s disease

Mesh:

Year:  2018        PMID: 30580247     DOI: 10.1016/j.clinph.2018.11.013

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

1.  Resting-State Phase-Amplitude Coupling Between the Human Subthalamic Nucleus and Cortical Activity: A Simultaneous Intracranial and Scalp EEG Study.

Authors:  Alena Damborská; Martin Lamoš; Denis Brunet; Serge Vulliemoz; Martina Bočková; Barbora Deutschová; Marek Baláž; Ivan Rektor
Journal:  Brain Topogr       Date:  2021-01-29       Impact factor: 3.020

Review 2.  Electrophysiological biomarkers for deep brain stimulation outcomes in movement disorders: state of the art and future challenges.

Authors:  Martina Bočková; Ivan Rektor
Journal:  J Neural Transm (Vienna)       Date:  2021-07-10       Impact factor: 3.575

3.  Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease.

Authors:  Sebastián Castaño-Candamil; Tobias Piroth; Peter Reinacher; Bastian Sajonz; Volker A Coenen; Michael Tangermann
Journal:  Neuroimage Clin       Date:  2020-08-12       Impact factor: 4.881

4.  Effects of motor imagery training of Parkinson's disease: a protocol for a randomized clinical trial.

Authors:  Isaíra Almeida Pereira da Silva Nascimento; Lorenna Marques de Melo Santiago; Aline Alves de Souza; Camila de Lima Pegado; Tatiana Souza Ribeiro; Ana Raquel Rodrigues Lindquist
Journal:  Trials       Date:  2019-11-09       Impact factor: 2.279

5.  A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells.

Authors:  Nada Yousif; Peter G Bain; Dipankar Nandi; Roman Borisyuk
Journal:  Front Hum Neurosci       Date:  2020-03-05       Impact factor: 3.169

6.  EEG-Derived Functional Connectivity Patterns Associated with Mild Cognitive Impairment in Parkinson's Disease.

Authors:  Alejandro Armando Peláez Suárez; Sheila Berrillo Batista; Ivonne Pedroso Ibáñez; Enrique Casabona Fernández; Marinet Fuentes Campos; Lilia Morales Chacón
Journal:  Behav Sci (Basel)       Date:  2021-03-23

Review 7.  Brain Connectivity and Graph Theory Analysis in Alzheimer's and Parkinson's Disease: The Contribution of Electrophysiological Techniques.

Authors:  Francesca Miraglia; Fabrizio Vecchio; Chiara Pappalettera; Lorenzo Nucci; Maria Cotelli; Elda Judica; Florinda Ferreri; Paolo Maria Rossini
Journal:  Brain Sci       Date:  2022-03-18
  7 in total

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