Evidence map›Paper›PMID 30112395›Full record

ArticleBioMed research international2018

Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia Using Hilbert-Huang Transform.

Quan Liu, Li Ma, Shou-Zen Fan, Maysam F Abbod, Qingsong Ai, Kun Chen, Jiann-Shing Shieh

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Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 21 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

7 authors at 4 institutions in 3 countries.

Quan LiuSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China.
Li MaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China.
Shou-Zen FanDepartment of Anesthesiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Maysam F AbbodDepartment of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK.ORCID 0000-0002-8515-7933
Qingsong AiSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China.
Kun ChenSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China.
Jiann-Shing ShiehDepartment of Mechanical Engineering, and Innovation Center for Big Data and Digital Convergence, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan.ORCID 0000-0002-6407-5090
Wuhan University of Technology · CNBrunel University of London · GBNational Taiwan University · TWYuan Ze University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalogram (EEG) signal analysis is commonly employed to extract information on the brain dynamics. It mainly targets brain status and communication, thus providing potential to trace differences in the brain's activity under different anesthetics. In this article, two kinds of gamma-amino butyric acid (type A -GABAA) dependent anesthetic agents, propofol and desflurane (28 and 23 patients), were studied and compared with respect to EEG spectrogram dynamics. Hilbert-Huang Transform (HHT) was employed to compute the time varying spectrum for different anesthetic levels in comparison with Fourier based method. Results show that the HHT method generates consistent band power (slow and alpha) dominance pattern as Fourier method does, but exhibits higher concentrated power distribution within each frequency band than the Fourier method during both drugs induced unconsciousness. HHT also finds slow and theta bands peak frequency with better convergence by standard deviation (propofol-slow: 0.46 to 0.24; theta: 1.42 to 0.79; desflurane-slow: 0.30 to 0.25; theta: 1.42 to 0.98) and a shift to relatively lower values for alpha band (propofol: 9.94 Hz to 10.33 Hz, desflurane 8.44 Hz to 8.84 Hz) than Fourier one. For different stage comparisons, although HHT shows significant alpha power increases during unconsciousness stage as the Fourier did previously, it finds no significant high frequency (low gamma) band power difference in propofol whereas it does in desflurane. In addition, when comparing the HHT results within two groups during unconsciousness, high beta band power in propofol is significantly larger than that of desflurane while delta band power behaves oppositely. In conclusion, this study convincingly shows that EEG analyzed here considerably differs between the HHT and Fourier method.

Indexed as

ElectroencephalographyAdultAnesthesiaAnesthetics, IntravenousDesfluraneFemaleHumansIsofluraneMalePropofolTaiwanYoung AdultAnesthetics, IntravenousDesfluraneIsofluranePropofol

Identifiers

PMID30112395
PMCPMC6077548
OpenAlexW2883197457

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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.