LAMOŠ, Martin, Martina BOČKOVÁ, Sabina GOLDEMUNDOVÁ, Marek BALÁŽ, Jan CHRASTINA and Ivan REKTOR. The effect of deep brain stimulation in Parkinson's disease reflected in EEG microstates. NPJ PARKINSONS DISEASE. BERLIN: NATURE PORTFOLIO, 2023, vol. 9, No 1, p. 1-7. ISSN 2373-8057. Available from: https://dx.doi.org/10.1038/s41531-023-00508-x.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 8.700 in 2022
RIV identification code RIV/00216224:14740/23:00132933
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1038/s41531-023-00508-x
UT WoS 000989780900001
Keywords in English deep brain stimulation; high-density EEG; Parkinson's disease; EEG microstates
Tags 14110127, 14110131, CF MAFIL, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Dubská, učo 77638. Changed: 7/4/2024 11:08.
Abstract
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
LM2018129, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování Czech-BioImaging
Investor: Ministry of Education, Youth and Sports of the CR
LM2023050, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR, Czech BioImaging: National research infrastructure for biological and medical imaging
NU21-04-00445, research and development projectName: Klinická odpovídavost na STN-DBS u Parkinsonovy nemoci: vliv vaskulárních, kardiovaskulárních, metabolických a zánětlivých komorbidit (Acronym: DBScomorbidities)
Investor: Ministry of Health of the CR, STN-DBS outcomes in Parkinson´s disease: the influence of vascular, cardiovascular, metabolic, and inflammatory co-morbidities., Subprogram 1 - standard
90250, large research infrastructuresName: Czech-BioImaging III
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