Unbiased Segmentation and Multifeature Classification of Cortical Neuronal Activity Reveals Complex Dynamics Under Anesthesia
Zilin Wang1 · Ao Li1 · Guihua Xiao2 · Xingzheng Gu1 · Zhilei Wang1 · Shuting Guo1 · Rujin Zhang1 · Chaowei Zhuang3 · Jiangbei Cao1
1 Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
2 Department of Automation, Tsinghua University, Beijing 100084, China
3 Zhejiang Hehu Technology Co., Ltd, Hangzhou 311121, China
Abstract
Cortical layer 2/3 plays a pivotal role in regulating perception and consciousness. However, the effects of anesthetic agents on the dynamic activity patterns in this layer remain poorly understood. This study examined how neuronal activity in cortical layer 2/3 dynamically changes under anesthesia. Using high-resolution wide-field microscopy, we performed whole-brain synchronous imaging of layer 2/3 neuronal activity in mice. Using these recordings, we performed an unbiased segmentation of the awake, anesthesia, and recovery stages and classified neurons into three categories according to their activity features. Our findings revealed the characteristics of cortical dynamics under anesthesia, including a rebound effect during recovery and nonlinear changes in neuronal activity. We also confirmed the consistent and uniform characteristics of superficial cortical layer activity under anesthesia. These results increase the understanding of cortical dynamics and provide a theoretical basis for improving clinical monitoring techniques and protocols.
Keywords
Anesthesia; Layer 2/3; Wide-field imaging; Neuronal dynamics; Clustering
