Local field potential power of subthalamic nucleus in human brain is not related to scalp EEG topography dynamics in rest

DAMBORSKÁ, Alena, Christoph MICHEL, Marek BALÁŽ, Ivan REKTOR and Serge VULLIÉMOZ. Local field potential power of subthalamic nucleus in human brain is not related to scalp EEG topography dynamics in rest. In The 15th European Congress on Clinical Neurophysiology. 2015.

Basic information

• Original name: Local field potential power of subthalamic nucleus in human brain is not related to scalp EEG topography dynamics in rest
• Authors: DAMBORSKÁ, Alena, Christoph MICHEL, Marek BALÁŽ, Ivan REKTOR and Serge VULLIÉMOZ.
• Edition: The 15th European Congress on Clinical Neurophysiology, 2015.

Other information

• Type of outcome: Conference abstract
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Tags: International impact, Reviewed

Abstract

Objective: Subthalamic nucleus(STN) is known to have central position in basal ganglia-thalamocortical circuits. Subthalamo-cortical interactions, however, are not precisely known yet. While intracranial EEG directly explores STN, scalp EEG informs about dynamics of cortical activity, which in rest displays discrete periods of electrical stability- functional microstates. To assess subthalamo-cortical relationship, we analysed STN and scalp EEG signals. Methods: Simultaneous scalp (51-60 electrodes) and intracranial (from STNs) EEG was obtained from four Parkinson disease patients in rest. Topographic analysis was conducted to identify microstate dynamics. Correlations between scalp and STN signals were calculated. Results: Time course of mean scalp power signifi cantly correlated with that of local fi eld potential power of both STNs(STN-LFP power) in delta, theta, alpha, beta, gamma, and 1-40Hz frequency bands in all subjects (r- value from 0.07 to 0.72). Microstate analysis identifi ed typical four scalp topographies in all subjects. No correlations were found between time course of spatial correlation coeffi cients of template topographic maps and that of STN-LFP power in any frequency band (r-value<0.108). Conclusion: While STN-LFP power was related to scalp EEG power in rest, it was not related to occurrence of scalp topographies. Key message: Although maybe related to cortical activity, STN activity might not be related to occurrence of microstates.

Links

• ED1.1.00/02.0068, research and development project: Name: CEITEC - central european institute of technology