A Novel Visualization Method for Sleep Spindles Based on Source Localization of High Density EEG

Title
A Novel Visualization Method for Sleep Spindles Based on Source Localization of High Density EEG
Authors
최지현이수현Seunghwan Kim
Keywords
high density EEG; mice; sleep spindles
Issue Date
2017-12
Publisher
Experimental Neurobiology
Citation
VOL 26, NO 6-e28-7
Abstract
Equivalent dipole source localization is a well-established approach to localizing the electrical activity in electroencephalogram (EEG). So far, source localization has been used primarily in localizing the epileptic source in human epileptic patients. Currently, source localization techniques have been applied to account for localizing epileptic source among the epileptic patients. Here, we present the first application of source localization in the field of sleep spindle in mouse brain. The spatial distribution of cortical potential was obtained by high density EEG and then the anterior and posterior sleep spindles were classified based on the K-mean clustering algorithm. To solve the forward problem, a realistic geometry brain model was produced based on boundary element method (BEM) using mouse MRI. Then, we applied four different source estimation algorithms (minimum norm, eLORETA, sLORETA, and LORETA) to estimate the spatial location of equivalent dipole source of sleep spindles. The estimated sources of anterior and posterior spindles were plotted in a cine-mode that revealed different topographic patterns of spindle propagation. The characterization of sleep spindles may be better be distinguished by our novel visualization method.
URI
http://pubs.kist.re.kr/handle/201004/67161
ISSN
1226-2560
Appears in Collections:
KIST Publication > Article
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