Theta-gamma coupling during REM sleep depends on breathing rate
Temporal coupling between theta and gamma oscillations is a hallmark activity pattern of several cortical networks and becomes especially prominent during REM sleep. In a parallel approach, nasal breathing has been recently shown to generate phase-entrained network oscillations which also modulate g...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
23 July 2021
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| In: |
Sleep
Year: 2021, Jahrgang: 44, Heft: 12, Pages: 1-12 |
| ISSN: | 1550-9109 |
| DOI: | 10.1093/sleep/zsab189 |
| Online-Zugang: | Resolving-System, teilw. kostenfrei, Volltext: https://doi.org/10.1093/sleep/zsab189 Verlag, teilw. kostenfrei, Volltext: https://academic.oup.com/sleep/article/44/12/zsab189/6326772 |
| Verfasserangaben: | Maximilian Hammer, Chrysovalandis Schwale, Jurij Brankačk, Andreas Draguhn and Adriano B.L. Tort |
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| 520 | |a Temporal coupling between theta and gamma oscillations is a hallmark activity pattern of several cortical networks and becomes especially prominent during REM sleep. In a parallel approach, nasal breathing has been recently shown to generate phase-entrained network oscillations which also modulate gamma. Both slow rhythms (theta and respiration-entrained oscillations) have been suggested to aid large-scale integration but they differ in frequency, display low coherence, and modulate different gamma sub-bands. Respiration and theta are therefore believed to be largely independent. In the present work, however, we report an unexpected but robust relation between theta-gamma coupling and respiration in mice. Interestingly, this relation takes place not through the phase of individual respiration cycles, but through respiration rate: the strength of theta-gamma coupling exhibits an inverted V-shaped dependence on breathing rate, leading to maximal coupling at breathing frequencies of 4–6 Hz. Noteworthy, when subdividing sleep epochs into phasic and tonic REM patterns, we find that breathing differentially relates to theta-gamma coupling in each state, providing new evidence for their physiological distinctiveness. Altogether, our results reveal that breathing correlates with brain activity not only through phase-entrainment but also through rate-dependent relations with theta-gamma coupling. Thus, the link between respiration and other patterns of cortical network activity is more complex than previously assumed. | ||
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