Characterization of Topographically Specific Sleep Spindles in Mice
- Characterization of Topographically Specific Sleep Spindles in Mice
- 김동욱; 황은진; 이민아; 성호근; 최지현
- sleep spindles; high-density EEG; thalamic LFP; thalamocortical networks; topography; sleep slow waves; mouse
- Issue Date
- VOL 38, NO 1, 1-12
- Study Objective: Sleep spindles in humans have been classified as slow anterior and fast posterior spindles; recent findings indicate that
their profiles differ according to pharmacology, pathology, and function. However, little is known about the generation mechanisms within the
thalamocortical system for different types of spindles. In this study, we aim to investigate the electrophysiological behaviors of the topographically
distinctive spindles within the thalamocortical system by applying high-density EEG and simultaneous thalamic LFP recordings in mice.
Design: 32-channel extracranial EEG and 2-channel thalamic LFP were recorded simultaneously in freely behaving mice to acquire spindles during spontaneous sleep.
Subjects: Hybrid F1 male mice of C57BL/6J and 129S4/svJae
Measurements and Results: Spindle events in each channel were detected by spindle detection algorithm, and then a cluster analysis was
applied to classify the topographically distinctive spindles. All sleep spindles were successfully classified into 3 groups: anterior, posterior, and
global spindles. Each spindle type showed distinct thalamocortical activity patterns regarding the extent of similarity, phase synchrony, and time
lags between cortical and thalamic areas during spindle oscillation. We also found that sleep slow waves were likely to associate with all types of
sleep spindles, but also that the ongoing cortical decruitment/recruitment dynamics before the onset of spindles and their relationship with spindle
generation were also variable, depending on the spindle types.
Conclusion: Topographically specific sleep spindles show distinctive thalamocortical network behaviors.
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