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Developing a personalized closed-loop controller of medically-induced coma in a rodent model.

Yuxiao Yang1, Justin T Lee2,3, Jennifer A Guidera2,3

  • 1Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States of America.

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This summary is machine-generated.

A new personalized closed-loop anesthetic delivery system precisely controls medically-induced coma by tracking brain response variabilities in real-time. This system enhances control precision and offers a novel tool for studying anesthetic effects on the brain.

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Area of Science:

  • Neuroscience
  • Anesthesiology
  • Biomedical Engineering

Background:

  • Medically-induced coma requires precise anesthetic control, but current systems struggle with patient variability, necessitating offline adjustments that interrupt therapy.
  • Real-time tracking of both inter- and intra-subject brain response variabilities is crucial for personalized control and studying anesthetic dynamics.

Purpose of the Study:

  • To develop and evaluate a personalized closed-loop anesthetic delivery (CLAD) system capable of real-time variability tracking and anesthetic control.
  • To assess the CLAD system's ability to eliminate the need for offline model fitting and its efficacy in studying brain response dynamics.

Main Methods:

  • Developed a CLAD system for rodent models to control electroencephalogram (EEG) burst suppression via propofol infusion.
  • Tested the CLAD system's ability to track inter- and intra-subject variabilities in real-time without offline model fitting.
  • Utilized the CLAD to investigate how brain response to anesthetic infusion rate changes with coma depth.

Main Results:

  • The CLAD system achieved precise EEG burst suppression control without offline experiments.
  • Discovered that brain response to anesthetic infusion rate varied during therapy and correlated with coma depth.
  • Tracking these variations reduced control bias and error by over 70% compared to previous systems.

Conclusions:

  • The personalized CLAD system offers a novel tool for investigating brain response dynamics to anesthetic infusion.
  • This system significantly advances the potential for clinically feasible, automatic control of medically-induced coma.