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Record W7033575484

Representation of pain affect in the central nervous system under nitrous oxide-induced anesthesia

2024· other· en· W7033575484 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2024
Typeother
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchUniversity of California, San FranciscoNational Institutes of HealthOpen Philanthropy Project
KeywordsNitrous oxideNociceptionAnestheticMidbrainAnterior cingulate cortexCentral nervous systemSensory systemUnconsciousnessPropofol
DOInot available

Abstract

fetched live from OpenAlex

Approximately 0.2% of patients undergoing surgery with general anesthesia report experiencing intraoperative awareness, wherein they are aware of their surroundings and the procedure despite not showing signs of consciousness. These experiences are traumatic, can hinder recovery, and are underreported as general anesthetics cause amnesia. Improving both our understanding of mechanisms by which general anesthesia induces analgesia, separately from unresponsiveness or unconsciousness, and methods of accurately monitoring levels of consciousness in patients are necessary to ensure that patients receive adequate analgesia.Nitrous oxide is a fast-acting general anesthetic that produces analgesia but does not induce loss of consciousness or impair sensory thresholds. As such, nitrous oxide anesthesia presents a unique opportunity to concurrently study the sensory-discriminative and the affective-motivational components of the pain experience. Interestingly, descriptions of nitrous oxide-induced analgesia match those of anterior cingulate cortex (ACC) lesions, which selectively inhibit pain aversion but not sensory-discrimination. Past studies agree that neuronal activity in the ACC correlates strongly with perceived pain intensity. We therefore predicted that nitrous oxide anesthesia, a known analgesic, would decrease neuronal activity in the ACC. Surprisingly, nitrous oxide exposure results in rapid, robust activation of ACC neurons. The ACC is highly interconnected to anesthesia- and pain-processing regions in the brain, including the midbrain periaqueductal gray (PAG), which has been hypothesized to mediate nitrous oxide analgesia by engaging descending inhibition of nociceptive input from the spinal cord. However, whether nitrous oxide directly acts on PAG neurons, or indirectly via upstream structures like the ACC, is currently unknown.\nOur objective is to investigate the circuit mechanisms by which nitrous oxide activates ACC neurons, which we hypothesize is critical for maintaining nitrous oxide-induced analgesia. To this end, we perform in vivo calcium imaging in the ACC of mice exposed to air or nitrous oxide before and after painful stimuli to characterize real-time changes in neuronal activity. We also use immunohistochemistry, in situ hybridization, and viral tracing techniques to characterize the pattern of nitrous oxide-induced neuronal activation throughout the central nervous system, using probes against the Fos protein (or c-Fos messenger ribonucleic acid) as a proxy for neuronal activation. We find that nitrous oxide-induced analgesia likely arises from activation of the ACC itself and not through PAG-mediated descending inhibition of the spinal cord. We propose that monitoring ACC activity can therefore be an effective way to determine that a patient is receiving sufficient analgesia even under intraoperative awareness where other metrics fail to do so.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.255
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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