Evidence map›Paper›PMID 26738009›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2015

Spatial variation in automated burst suppression detection in pharmacologically induced coma.

Jingzhi An, Durga Jonnalagadda, Valdery Moura, Patrick L Purdon, Emery N Brown, M Brandon Westover

Open access · greenAbstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-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.

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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Observational
  9. Article
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

6 authors at 3 institutions in 1 country.

Jingzhi An
Durga Jonnalagadda
Valdery Moura
Patrick L Purdon
Emery N Brown
M Brandon Westover
Massachusetts Institute of Technology · USHarvard University · USMontgomery General Hospital · US

Funding

Redesigning General Anesthesia (Admin Supp)R01GM104948 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., BROWN, EMERY N · 2012 to 2016
$4.4M
A Neural Systems Approach to Monitoring and Drug-Delivery for General AnesthesiaDP2OD006454 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI PURDON, PATRICK L. · 2009 to 2009
$2.7M
Quantitative Monitoring and Control of Sedation and Pain in the ICU EnvironmentK23NS090900 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2014 to 2018
$988k
NIGMS NIH HHS R01 GM104948NIGMS NIH HHS TR01-GM104948NIH HHS DP2 OD006454NIH HHS DP2-OD006454NINDS NIH HHS K23 NS090900
6 · The paper itself

Abstract

Burst suppression is actively studied as a control signal to guide anesthetic dosing in patients undergoing medically induced coma. The ability to automatically identify periods of EEG suppression and compactly summarize the depth of coma using the burst suppression probability (BSP) is crucial to effective and safe monitoring and control of medical coma. Current literature however does not explicitly account for the potential variation in burst suppression parameters across different scalp locations. In this study we analyzed standard 19-channel EEG recordings from 8 patients with refractory status epilepticus who underwent pharmacologically induced burst suppression as medical treatment for refractory seizures. We found that although burst suppression is generally considered a global phenomenon, BSP obtained using a previously validated algorithm varies systematically across different channels. A global representation of information from individual channels is proposed that takes into account the burst suppression characteristics recorded at multiple electrodes. BSP computed from this representative burst suppression pattern may be more resilient to noise and a better representation of the brain state of patients. Multichannel data integration may enhance the reliability of estimates of the depth of medical coma.

Indexed as

AlgorithmsAnestheticsBrainComaDose-Response Relationship, DrugElectroencephalographyEpilepsyHumansReproducibility of ResultsRetrospective StudiesSpatial AnalysisAnesthetics

Identifiers

PMID26738009
PMCPMC4876722
OpenAlexW2294539581

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.