Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states
IntroductionThe relationship between brain activity and respiration is recently attracting increasing attention, despite being studied for a long time. Respiratory modulation was evidenced in both single-cell activity and field potentials. Among EEG and intracranial measurements, the effect of respi...
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2025-01-01
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| author | Aleksandar Kalauzi Zoran Matić Edin Suljovrujić Tijana Bojić |
| author_facet | Aleksandar Kalauzi Zoran Matić Edin Suljovrujić Tijana Bojić |
| author_sort | Aleksandar Kalauzi |
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| description | IntroductionThe relationship between brain activity and respiration is recently attracting increasing attention, despite being studied for a long time. Respiratory modulation was evidenced in both single-cell activity and field potentials. Among EEG and intracranial measurements, the effect of respiration was prevailingly studied on amplitude/power in all frequency bands.MethodsSince phases of EEG oscillations received less attention, we applied our previously published carrier frequency (CF) mathematical model of human alpha oscillations on a group of 10 young healthy participants in wake and drowsy states, using a 14-channel average reference montage. Since our approach allows for a more precise calculation of CF phase shifts (CFPS) than any individual Fourier component, by using a 2-s moving Fourier window, we validated the new method and studied, for the first time, temporal waveforms CFPS(t) and their oscillatory content through FFT (CFPS(t)).ResultsAlthough not appearing equally in all channel pairs and every subject, a clear peak in the respiratory frequency region, 0.21–0.26 Hz, was observed (max at 0.22 Hz). When five channel pairs with the most prominent group averaged amplitudes at 0.22 Hz were plotted in both states, topographic distributions changed significantly—from longitudinal, connecting frontal and posterior channels in the wake state to topographically split two separate regions—frontal and posterior in the drowsy state. In addition, in the drowsy state, 0.22-Hz amplitudes decreased for all pairs, while statistically significant reduction was obtained for 20/91 (22%) pairs.DiscussionThese results potentially evidence, for the first time, the respiratory frequency modulation of alpha phase shifts, as well as the significant impact of wakeful consciousness on the observed oscillations. |
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| series | Frontiers in Physiology |
| spelling | doaj-art-1cd6ce378a8f44a784081fee16f7e87a2025-01-06T06:59:24ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2025-01-011510.3389/fphys.2024.15119981511998Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy statesAleksandar Kalauzi0Zoran Matić1Edin Suljovrujić2Tijana Bojić3Department for Life Sciences, Institute for Multidisciplinary Research, University of Belgrade, Belgrade, SerbiaLaboratory for Radiation Chemistry and Physics-030, Institute for Nuclear Sciences Vinča-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, SerbiaLaboratory for Radiation Chemistry and Physics-030, Institute for Nuclear Sciences Vinča-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, SerbiaLaboratory for Radiation Chemistry and Physics-030, Institute for Nuclear Sciences Vinča-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, SerbiaIntroductionThe relationship between brain activity and respiration is recently attracting increasing attention, despite being studied for a long time. Respiratory modulation was evidenced in both single-cell activity and field potentials. Among EEG and intracranial measurements, the effect of respiration was prevailingly studied on amplitude/power in all frequency bands.MethodsSince phases of EEG oscillations received less attention, we applied our previously published carrier frequency (CF) mathematical model of human alpha oscillations on a group of 10 young healthy participants in wake and drowsy states, using a 14-channel average reference montage. Since our approach allows for a more precise calculation of CF phase shifts (CFPS) than any individual Fourier component, by using a 2-s moving Fourier window, we validated the new method and studied, for the first time, temporal waveforms CFPS(t) and their oscillatory content through FFT (CFPS(t)).ResultsAlthough not appearing equally in all channel pairs and every subject, a clear peak in the respiratory frequency region, 0.21–0.26 Hz, was observed (max at 0.22 Hz). When five channel pairs with the most prominent group averaged amplitudes at 0.22 Hz were plotted in both states, topographic distributions changed significantly—from longitudinal, connecting frontal and posterior channels in the wake state to topographically split two separate regions—frontal and posterior in the drowsy state. In addition, in the drowsy state, 0.22-Hz amplitudes decreased for all pairs, while statistically significant reduction was obtained for 20/91 (22%) pairs.DiscussionThese results potentially evidence, for the first time, the respiratory frequency modulation of alpha phase shifts, as well as the significant impact of wakeful consciousness on the observed oscillations.https://www.frontiersin.org/articles/10.3389/fphys.2024.1511998/fullrespirationelectroencephalographyalpha activityphase shiftwake and drowsymind–body interaction |
| spellingShingle | Aleksandar Kalauzi Zoran Matić Edin Suljovrujić Tijana Bojić Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states Frontiers in Physiology respiration electroencephalography alpha activity phase shift wake and drowsy mind–body interaction |
| title | Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states |
| title_full | Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states |
| title_fullStr | Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states |
| title_full_unstemmed | Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states |
| title_short | Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states |
| title_sort | detection of respiratory frequency rhythm in human alpha phase shifts topographic distributions in wake and drowsy states |
| topic | respiration electroencephalography alpha activity phase shift wake and drowsy mind–body interaction |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2024.1511998/full |
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