Temporal relations between cortical network oscillations and breathing frequency during REM sleep
Nasal breathing generates a rhythmic signal which entrains cortical network oscillations in widespread brain regions on a cycle-to-cycle time scale. It is unknown, however, how respiration and neuronal network activity interact on a larger time scale: are breathing frequency and typical neuronal osc...
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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
16 June 2021
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| In: |
The journal of neuroscience
Year: 2021, Jahrgang: 41, Heft: 24, Pages: 5229-5242 |
| ISSN: | 1529-2401 |
| DOI: | 10.1523/JNEUROSCI.3067-20.2021 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1523/JNEUROSCI.3067-20.2021 Verlag, lizenzpflichtig, Volltext: https://www.jneurosci.org/content/41/24/5229 
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| Verfasserangaben: | Adriano B.L. Tort, Maximilian Hammer, Jiaojiao Zhang, Jurij Brankačk, and Andreas Draguhn |
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| 245 | 1 | 0 | |a Temporal relations between cortical network oscillations and breathing frequency during REM sleep |c Adriano B.L. Tort, Maximilian Hammer, Jiaojiao Zhang, Jurij Brankačk, and Andreas Draguhn |
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| 520 | |a Nasal breathing generates a rhythmic signal which entrains cortical network oscillations in widespread brain regions on a cycle-to-cycle time scale. It is unknown, however, how respiration and neuronal network activity interact on a larger time scale: are breathing frequency and typical neuronal oscillation patterns correlated? Is there any directionality or temporal relationship? To address these questions, we recorded field potentials from the posterior parietal cortex of mice together with respiration during REM sleep. In this state, the parietal cortex exhibits prominent θ and γ oscillations while behavioral activity is minimal, reducing confounding signals. We found that the instantaneous breathing frequency strongly correlates with the instantaneous frequency and amplitude of both θ and γ oscillations. Cross-correlograms and Granger causality revealed specific directionalities for different rhythms: changes in θ activity precede and Granger-cause changes in breathing frequency, suggesting control by the functional state of the brain. On the other hand, the instantaneous breathing frequency Granger causes changes in γ frequency, suggesting that γ is influenced by a peripheral reafference signal. These findings show that changes in breathing frequency temporally relate to changes in different patterns of rhythmic brain activity. We hypothesize that such temporal relations are mediated by a common central drive likely to be located in the brainstem. | ||
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