Evidence map›Paper›PMID 30671894›Full record

ArticleJournal of clinical monitoring and computing2019

Non-sinusoidal waves in the EEG and their simulated effect on anaesthetic quantitative EEG monitors.

Rebecca M Pullon, Samuel McCabe, Amy Gaskell, Jamie W Sleigh

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. SedlineAnimals : an open access journal from MDPI · 2023
    Article
  2. Article
  3. Article
  4. End of year summary 2019: anaesthesia and airway management.Journal of clinical monitoring and computing · 2020
    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

4 authors at 1 institution in 1 country.

Rebecca M PullonDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand. r.pullon@auckland.ac.nz.ORCID http://orcid.org/0000-0002-9216-471X
Samuel McCabeDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand.
Amy GaskellDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand.
Jamie W SleighDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland, Hamilton, New Zealand.
University of Auckland · NZ

Funding

E G Shrimpton Fund 3713695James S. McDonnell Foundation 220020484
6 · The paper itself

Abstract

The effect of anaesthetic drugs on the cortex are commonly estimated from the electroencephalogram (EEG) by quantitative EEG monitors such as the Bispectral Index (BIS). These monitors use ratios of high to low frequency power which assumes that each neurological process contributes a unique frequency pattern. However, recent research of the effect of deep brain stimulation on EEG beta oscillations suggests that wave shape, a non-sinusoidal feature that is only measurable in the time-domain, can change the frequency 'signature' of a neurological rhythmical process by the inclusion or removal of harmonic frequencies. If wave shape variations are present in the EEG of anaesthetised patients, then quantitative EEG monitors likely overestimate the anaesthetic drug effect. The purpose of this paper is to investigate alpha-wave shape in the EEG of anaesthetised patients and demonstrate the effect of wave shape on the frequency ratios that are commonly utilised in the BIS quantitative EEG monitor. EEG data, demographic information, and surgery details were collected prospectively from 305 patients undergoing a general anaesthetic for elective surgery. Alpha-wave shape was categorised by triangularity of the EEG extrema, a measure of how peaked (towards a sawtooth wave) or flat (towards a square wave) the extremum was. The alpha-wave was then artificially modified to either a sawtooth wave or square wave, and BetaRatio and PowerFastSlow metrics calculated. Age was found to be the only significant predictor of alpha wave triangularity. The artificially modified square-alpha waves increased the power in the frequency spectrum at 26 Hz by 1-5 dB, and increased the BetaRatio by 0.7. The alpha-wave of anaesthetised patients contains non-sinusoidal components which likely impact depth of anaesthesia calculations.

Indexed as

Consciousness MonitorsAdolescentAdultAgedAnesthesia, GeneralAnesthesiologyAnestheticsDeep Brain StimulationElectroencephalographyFemaleFourier AnalysisHumansMaleMiddle AgedMonitoring, IntraoperativeOscillometryAnestheticsDepth of anaesthesiaEEGNon-sinusoidal wavesTriangularityWave shape

Identifiers

PMID30671894
OpenAlexW2911868298

What OpenQuestion holds

Textmetadata
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.