Detailed Information on Publication Record
2019
Impairment of brain functions in Parkinson's disease reflected by alterations in neural connectivity in EEG studies: A viewpoint
BOČKOVÁ, Martina and Ivan REKTORBasic information
Original name
Impairment of brain functions in Parkinson's disease reflected by alterations in neural connectivity in EEG studies: A viewpoint
Authors
BOČKOVÁ, Martina (203 Czech Republic, belonging to the institution) and Ivan REKTOR (203 Czech Republic, guarantor, belonging to the institution)
Edition
Clinical Neurophysiology, Clare, Elsevier Ireland, 2019, 1388-2457
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30210 Clinical neurology
Country of publisher
Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.214
RIV identification code
RIV/00216224:14740/19:00108608
Organization unit
Central European Institute of Technology
UT WoS
000456164600006
Keywords in English
Parkinson's disease; EEG; Local field potentials; Functional connectivity; Graph theory; Deep brain stimulation
Tags
Tags
International impact, Reviewed
Změněno: 12/5/2020 13:35, Mgr. Pavla Foltynová, Ph.D.
Abstract
V originále
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. (C) 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V.
Links
NV16-33798A, research and development project |
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