Sensing the Depths: Unveiling Anesthetic Monitoring with Machine Learning!

Published on September 12, 2022

Imagine you’re scuba diving and need to know how deep you are. You can’t just rely on your senses, right? Well, the same goes for mice under anesthesia! In this exciting study, researchers used machine learning to uncover a new indicator of anesthetic depth in mice. By analyzing electrocorticogram recordings coupled with peripheral stimulation, they identified a reliable feature called interhemispheric somatosensory coherence. It’s like using a special gauge to measure the depth of your dive! This coherence reflects the concentration of isoflurane, the anesthetic, being administered to the mice. By understanding how this coherence changes, scientists can develop better protocols and closed-loop systems for monitoring anesthesia during animal surgeries. It’s an important step towards ensuring the well-being of our furry lab friends! To dive into the details of this fascinating research, check out the full article.

The goal of this study was to identify features in mouse electrocorticogram recordings that indicate the depth of anesthesia as approximated by the administered anesthetic dosage. Anesthetic depth in laboratory animals must be precisely monitored and controlled. However, for the most common lab species (mice) few indicators useful for monitoring anesthetic depth have been established. We used electrocorticogram recordings in mice, coupled with peripheral stimulation, in order to identify features of brain activity modulated by isoflurane anesthesia and explored their usefulness in monitoring anesthetic depth through machine learning techniques. Using a gradient boosting regressor framework we identified interhemispheric somatosensory coherence as the most informative and reliable electrocorticogram feature for determining anesthetic depth, yielding good generalization and performance over many subjects. Knowing that interhemispheric somatosensory coherence indicates the effectively administered isoflurane concentration is an important step for establishing better anesthetic monitoring protocols and closed-loop systems for animal surgeries.

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