Dynamic modulation of theta–gamma coupling during rapid eye movement sleep. Issue 12 (14th August 2019)

• Record Type: Journal Article
• Authors: Bandarabadi, Mojtaba; Boyce, Richard; Gutierrez Herrera, Carolina; Bassetti, Claudio L; Williams, Sylvain; Schindler, Kaspar; Adamantidis, Antoine
• Is Part Of: Sleep. Volume 42:Issue 12(2019)
• Publication Date: 2019-08-14
• Subjects: REM sleep -- active wake -- theta–gamma coupling -- optogenetics -- hippocampus; Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsz182
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Theta phase modulates gamma amplitude in hippocampal networks during spatial navigation and rapid eye movement (REM) sleep. This cross-frequency coupling has been linked to working memory and spatial memory consolidation; however, its spatial and temporal dynamics remains unclear. Here, we first investigate the dynamics of theta–gamma interactions using multiple frequency and temporal scales in simultaneous recordings from hippocampal CA3, CA1, subiculum, and parietal cortex in freely moving mice. We found that theta phase dynamically modulates distinct gamma bands during REM sleep. Interestingly, we further show that theta–gamma coupling switches between recorded brain structures during REM sleep and progressively increases over a single REM sleep episode. Finally, we show that optogenetic silencing of septohippocampal GABAergic projections significantly impedes both theta–gamma coupling and theta phase coherence. Collectively, our study shows that phase-space (i.e. cross-frequency coupling) coding of information during REM sleep is orchestrated across time and space consistent with region-specific processing of information during REM sleep including learning and memory.