ArticleNeuroscience bulletin2026
Unbiased Segmentation and Multifeature Classification of Cortical Neuronal Activity Reveals Complex Dynamics Under Anesthesia.
Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Mapping Brain Spatial Metabolic Atlas Reveals Anesthesia-Induced Region-Specific Alterations.Neuroscience bulletin · 2026Article
- Evolution and Reorganization of the Hierarchical Brain-wide Neuronal Network Through Anesthesia.Neuroscience bulletin · 2026Article
- Real-Time Monitoring of Anaesthetic-Induced Change of Consciousness States Associated with Brain Biophoton Information Integration.Neuroscience bulletin · 2026Article
- Joint Encoding Represents Fine-Scale Functional Specialization in Mouse Higher Visual Areas.Neuroscience bulletin · 2026Article
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Authors and funding
9 authors.
Funding
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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.
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