Abstract

Ketamine is known to induce psychotic-like symptoms, including delirium and visual hallucinations. It also causes neuronal damage and cell death in the retrosplenial cortex (RSC), an area that is thought to be a part of high visual cortical pathways and at least partially responsible for ketamine’s psychotomimetic activities. However, the basic physiological properties of RSC cells as well as their response to ketamine in vivo remained largely unexplored. Here, we combine a computational method, the Inter-Spike Interval Classification Analysis (ISICA), and in vivo recordings to uncover and profile excitatory cell subtypes within layers 2&3 and 5&6 of the RSC in mice within both conscious, sleep, and ketamine-induced unconscious states. We demonstrate two distinct excitatory principal cell sub-populations, namely, high-bursting excitatory principal cells and low-bursting excitatory principal cells, within layers 2&3, and show that this classification is robust over the conscious states, namely quiet awake, and natural unconscious sleep periods. Similarly, we provide evidence of high-bursting and low-bursting excitatory principal cell sub-populations within layers 5&6 that remained distinct during quiet awake and sleep states. We further examined how these subtypes are dynamically altered by ketamine. During ketamine-induced unconscious state, these distinct excitatory principal cell subtypes in both layer 2&3 and layer 5&6 exhibited distinct dynamics. We also uncovered different dynamics of local field potential under various brain states in layer 2&3 and layer 5&6. Interestingly, ketamine administration induced high gamma oscillations in layer 2&3 of the RSC, but not layer 5&6. Our results show that excitatory principal cells within RSC layers 2&3 and 5&6 contain multiple physiologically distinct sub-populations, and they are differentially affected by ketamine.

Highlights

  • Using our Interval Classification Analysis (ISICA) computational classification method, we investigated neural activity datasets recorded from layers 2&3 and layers 5&6 on the retrosplenial cortex (RSC) in freely behaving mice during quiet awake and two unconscious states, namely, sleep and ketamine-induced anesthesia

  • Isolated units (215 well-separated neurons recorded from RSC layer 2&3 of nine mice and 262 well-separated neurons recorded from RSC layer 5&6 of 13 mice) were classified as either putative excitatory principal cells or interneurons based on their spike waveforms

  • We observed that the burst index and the mean firing rate of these two RSC pyramidal cell subpopulations were in negative correlation during the quiet awake (Fig 4A) and sleep (Fig 4B) states. We found that these two RSC principal cell subtypes showed significant differences in burst indexes under the quiet awake state (0.748±0.011 vs. 0.469±0.014, p

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Summary

Introduction

Using our ISICA computational classification method, we investigated neural activity datasets recorded from layers 2&3 and layers 5&6 on the RSC in freely behaving mice during quiet awake and two unconscious states, namely, sleep and ketamine-induced anesthesia. We measured the relationship between the burst index and the mean firing rate of these two-layer 2&3 principal cell sub-populations during the quiet awake and sleep states.

Results
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