Detailed Information on Publication Record
2023
The effect of deep brain stimulation in Parkinson's disease reflected in EEG microstates
LAMOŠ, Martin, Martina BOČKOVÁ, Sabina GOLDEMUNDOVÁ, Marek BALÁŽ, Jan CHRASTINA et. al.Basic information
Original name
The effect of deep brain stimulation in Parkinson's disease reflected in EEG microstates
Authors
LAMOŠ, Martin (203 Czech Republic, belonging to the institution), Martina BOČKOVÁ (203 Czech Republic, belonging to the institution), Sabina GOLDEMUNDOVÁ (203 Czech Republic, belonging to the institution), Marek BALÁŽ (703 Slovakia, belonging to the institution), Jan CHRASTINA (203 Czech Republic, belonging to the institution) and Ivan REKTOR (203 Czech Republic, guarantor, belonging to the institution)
Edition
NPJ PARKINSONS DISEASE, BERLIN, NATURE PORTFOLIO, 2023, 2373-8057
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 8.700 in 2022
RIV identification code
RIV/00216224:14740/23:00132933
Organization unit
Central European Institute of Technology
UT WoS
000989780900001
Keywords in English
deep brain stimulation; high-density EEG; Parkinson's disease; EEG microstates
Tags
International impact, Reviewed
Změněno: 17/10/2024 08:55, Mgr. Adéla Pešková
Abstract
V originále
Mechanisms of deep brain stimulation (DBS) on cortical networks were explored mainly by fMRI. Advanced analysis of high-density EEG is a source of additional information and may provide clinically useful biomarkers. The presented study evaluates EEG microstates in Parkinson's disease and the effect of DBS of the subthalamic nucleus (STN). The association between revealed spatiotemporal dynamics of brain networks and changes in oscillatory activity and clinical examination were assessed. Thirty-seven patients with Parkinson's disease treated by STN-DBS underwent two sessions (OFF and ON stimulation conditions) of resting-state EEG. EEG microstates were analyzed in patient recordings and in a matched healthy control dataset. Microstate parameters were then compared across groups and were correlated with clinical and neuropsychological scores. Of the five revealed microstates, two differed between Parkinson's disease patients and healthy controls. Another microstate differed between ON and OFF stimulation conditions in the patient group and restored parameters in the ON stimulation state toward to healthy values. The mean beta power of that microstate was the highest in patients during the OFF stimulation condition and the lowest in healthy controls; sources were localized mainly in the supplementary motor area. Changes in microstate parameters correlated with UPDRS and neuropsychological scores. Disease specific alterations in the spatiotemporal dynamics of large-scale brain networks can be described by EEG microstates. The approach can reveal changes reflecting the effect of DBS on PD motor symptoms as well as changes probably related to non-motor symptoms not influenced by DBS.
Links
NU21-04-00445, research and development project |
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90129, large research infrastructures |
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