scholarly journals Faculty Opinions recommendation of Neurovascular coupling and bilateral connectivity during NREM and REM sleep.

Author(s):  
Stan Leung
eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Kevin L Turner ◽  
Kyle W Gheres ◽  
Elizabeth A Proctor ◽  
Patrick J Drew

To understand how arousal state impacts cerebral hemodynamics and neurovascular coupling, we monitored neural activity, behavior, and hemodynamic signals in un-anesthetized, head-fixed mice. Mice frequently fell asleep during imaging, and these sleep events were interspersed with periods of wake. During both NREM and REM sleep, mice showed large increases in cerebral blood volume ([HbT]) and arteriole diameter relative to the awake state, two to five times larger than those evoked by sensory stimulation. During NREM, the amplitude of bilateral low-frequency oscillations in [HbT] increased markedly, and coherency between neural activity and hemodynamic signals was higher than the awake resting and REM states. Bilateral correlations in neural activity and [HbT] were highest during NREM, and lowest in the awake state. Hemodynamic signals in the cortex are strongly modulated by arousal state, and changes during sleep are substantially larger than sensory-evoked responses.


2020 ◽  
Author(s):  
Kevin L Turner ◽  
Kyle W Gheres ◽  
Elizabeth A Proctor ◽  
Patrick J Drew

2020 ◽  
Author(s):  
Kevin L. Turner ◽  
Kyle W. Gheres ◽  
Elizabeth A. Proctor ◽  
Patrick J. Drew

AbstractHemodynamic signals in the brain are used as surrogates of neural activity, but how these hemodynamic signals depend on arousal state is poorly understood. Here, we monitored neural activity and hemodynamic signals in un-anesthetized, head-fixed mice to understand how sleep and awake states impact cerebral hemodynamics. In parallel with electrophysiological recordings, we used intrinsic optical signal imaging to measure bilateral changes in cerebral hemoglobin ([HbT]), and two-photon laser scanning microscopy (2PLSM) to measure dilations of individual arterioles. We concurrently monitored body motion, whisker movement, muscle EMG, cortical LFP, and hippocampal LFP to classify the arousal state of the mouse into awake, NREM sleep, or REM sleep. We found that mice invariably fell asleep during imaging, and these sleep states were interspersed with periods of awake. During both NREM and REM sleep, mice showed large increases in [HbT] relative to the awake state, showing increase in hemoglobin and arteriole diameter two to five times larger than those seen in response to sensory stimulation. During NREM sleep, the amplitude of bilateral low-frequency oscillations in [HbT] increased markedly, and coherency between neural activity and hemodynamic signals was higher than the awake resting and REM states. Bilateral correlations in neural activity and [HbT] were highest during NREM sleep, and lowest in the awake state. Our results show that hemodynamic signals in the cortex are strongly modulated by arousal state, with hemodynamic changes during sleep being substantially larger than sensory-evoked responses. These results underscore the critical importance of behavioral monitoring during studies of spontaneous activity, as sleep-related hemodynamics dominate measures of neurovascular coupling and functional connectivity.


2000 ◽  
Vol 14 (3) ◽  
pp. 151-158 ◽  
Author(s):  
José Luis Cantero ◽  
Mercedes Atienza

Abstract High-resolution frequency methods were used to describe the spectral and topographic microstructure of human spontaneous alpha activity in the drowsiness (DR) period at sleep onset and during REM sleep. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) measurements were obtained during sleep in 10 healthy volunteer subjects. Spectral microstructure of alpha activity during DR showed a significant maximum power with respect to REM-alpha bursts for the components in the 9.7-10.9 Hz range, whereas REM-alpha bursts reached their maximum statistical differentiation from the sleep onset alpha activity at the components between 7.8 and 8.6 Hz. Furthermore, the maximum energy over occipital regions appeared in a different spectral component in each brain activation state, namely, 10.1 Hz in drowsiness and 8.6 Hz in REM sleep. These results provide quantitative information for differentiating the drowsiness alpha activity and REM-alpha by studying their microstructural properties. On the other hand, these data suggest that the spectral microstructure of alpha activity during sleep onset and REM sleep could be a useful index to implement in automatic classification algorithms in order to improve the differentiation between the two brain states.


2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S425-S425
Author(s):  
Cenk Ayata ◽  
Hwa Kyoung Shin ◽  
Phillip Jones ◽  
Andrew K Dunn ◽  
David A Boas ◽  
...  

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