Evidence map›Paper›PMID 36329725›Full record

ArticlePNAS nexus2022

An electroencephalogram biomarker of fentanyl drug effects.

Gustavo A Balanza, Kishore M Bharadwaj, Andrew C Mullen, Amanda M Beck, Erin C Work, Francis J McGovern, Timothy T Houle, T Pierce Eric, Patrick L Purdon

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06699953 (Characterizing the EEG Signature of Fentanyl and Its Association With Drug Liking), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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.

NCT06699953 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Characterizing the EEG Signature of Fentanyl and Its Association With Drug Liking

TypeobservationalSponsorStanford UniversityRan2025 to 2027Enrolled20ConditionsBrain Activity Related to Opioid Administration, Brain Activity Related to Drug LikingArmsObservational study in patients receiving fentanyl for surgery
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Gustavo A BalanzaDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-2414-3607
Kishore M BharadwajDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Andrew C MullenDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Amanda M BeckDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Erin C WorkDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Francis J McGovernDepartment of Urology, Massachusetts General Hospital, Boston, MA 02114, USA.
Timothy T HouleDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
T Pierce EricDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Patrick L PurdonDepartment of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-0080-3340
Massachusetts General Hospital · USHarvard University · US

Funding

A pilot study to characterize brain dynamic biomarkers of fentanyl for opioid overdose monitoringR21DA048323 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI PURDON, PATRICK L. · 2019 to 2020
$462k
NIDA NIH HHS R21 DA048323
6 · The paper itself

Abstract

Opioid drugs influence multiple brain circuits in parallel to produce analgesia as well as side effects, including respiratory depression. At present, we do not have real-time clinical biomarkers of these brain effects. Here, we describe the results of an experiment to characterize the electroencephalographic signatures of fentanyl in humans. We find that increasing concentrations of fentanyl induce a frontal theta band (4 to 8 Hz) signature distinct from slow-delta oscillations related to sleep and sedation. We also report that respiratory depression, quantified by decline in an index of instantaneous minute ventilation, occurs at ≈1700-fold lower concentrations than those that produce sedation as measured by reaction time. The electroencephalogram biomarker we describe could facilitate real-time monitoring of opioid drug effects and enable more precise and personalized opioid administration.

Indexed as

EEG monitoringOIRDopioid anesthesiaopioids

Identifiers

PMID36329725
PMCPMC9615126
OpenAlexW4293582206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.