Casali, G. | Search bioRxiv

bioRxiv2024

Link between respiratory pauses and vigilance states in freely moving mice

Brain activity and breathing rate influence each other but it remains unclear how fine respiratory features vary across vigilance states. Using simultaneous nasal pressure and hippocampal local field potential recordings in freely-moving mice, we show that the position of respiratory pauses within breathing cycles distinguish Wake, Rapid Eye Movement (REM) and non-REM (NREM) sleep states. Model-based predictions of vigilance states based on respiratory features perform well even on animals outside of the training set, suggesting the rules are generalized. Respiratory features underwent specific changes at state transitions, such as progressive elimination of pauses after inhalation foreshadowing REM. During NREM, respiratory changes predicted moment-to moment sigma power variations beyond movement-defined packets delineated by micro-arousals, as pauses after inhalation fragmented NREM sleep into [~]30s windows of high sigma power. Overall, our findings reveal that respiratory features structure the macro- and micro-architecture of sleep, opening new windows into brain states through respiration.

neuroscience↗

bioRxiv2018

Entorhinal neurons exhibit cue locking in rodent VR

The regular firing pattern exhibited by medial entorhinal (mEC) grid cells of locomoting rodents is hypothesized to provide spatial metric information relevant for navigation. The development of virtual reality (VR) for head-fixed mice confers a number of experimental advantages and has become increasingly popular as a method for investigating spatially-selective cells. Recent experiments using 1D VR linear tracks have shown that some mEC cells have multiple fields in virtual space, analogous to grid cells on real linear tracks. We recorded from the mEC as mice traversed virtual tracks featuring regularly spaced repetitive cues and identified a population of cells with multiple firing fields, resembling the regular firing of grid cells. However, further analyses indicated that many of these were not, in fact, grid cells because: 1) When recorded in the open field they did not display discrete firing fields with six-fold symmetry; 2) In different VR environments their firing fields were found to match the spatial frequency of repetitive environmental cues. In contrast, cells identified as grid cells based on their open field firing patterns did not exhibit cue locking. In light of these results we highlight the importance of controlling the periodicity of the visual cues in VR and the necessity of identifying grid cells from real open field environments in order to correctly characterise spatially modulated neurons in VR experiments.

neuroscience↗