J 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
Name: 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
90129, large research infrastructures
Name: Czech-BioImaging II