Evidence map›Paper›PMID 37920551›Full record

ArticlePNAS nexus2023

Closed-loop control of anesthetic state in nonhuman primates.

Sourish Chakravarty, Jacob Donoghue, Ayan S Waite, Meredith Mahnke, Indie C Garwood, Sebastian Gallo, Earl K Miller, Emery N Brown

Abstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sourish ChakravartyThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Jacob DonoghueThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Ayan S WaiteThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID https://orcid.org/0009-0009-8571-657X
Meredith MahnkeThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Indie C GarwoodThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-7578-7480
Sebastian GalloThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Earl K MillerThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-0582-6958
Emery N BrownThe Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0003-2668-7819

Funding

Project 4: Mathematical Modeling Studies of Anesthetic ActionP01GM118269 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI BROWN, EMERY N · 2017 to 2021
$9.0M
Non-Human Primate Model for Developing Closed-Loop Anesthesia Delivery SystemsR01NS123120 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EMERY N BROWN · 2022 to 2026
$2.0M
NIGMS NIH HHS P01 GM118269NINDS NIH HHS R01 NS123120
6 · The paper itself

Abstract

Research in human volunteers and surgical patients has shown that unconsciousness under general anesthesia can be reliably tracked using real-time electroencephalogram processing. Hence, a closed-loop anesthesia delivery (CLAD) system that maintains precisely specified levels of unconsciousness is feasible and would greatly aid intraoperative patient management. The US Federal Drug Administration has approved no CLAD system for human use due partly to a lack of testing in appropriate animal models. To address this key roadblock, we implement a nonhuman primate (NHP) CLAD system that controls the level of unconsciousness using the anesthetic propofol. The key system components are a local field potential (LFP) recording system; propofol pharmacokinetics and pharmacodynamic models; the control variable (LFP power between 20 and 30 Hz), a programmable infusion system and a linear quadratic integral controller. Our CLAD system accurately controlled the level of unconsciousness along two different 125-min dynamic target trajectories for 18 h and 45 min in nine experiments in two NHPs. System performance measures were comparable or superior to those in previous CLAD reports. We demonstrate that an NHP CLAD system can reliably and accurately control in real-time unconsciousness maintained by anesthesia. Our findings establish critical steps for CLAD systems' design and testing prior to human testing.

Indexed as

closed-loop anesthesia delivery systemnonhuman primatepropofol

Identifiers

PMID37920551
PMCPMC10619513

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.