Evidence map›Paper›PMID 26658680›Full record

ArticlePloS one2015

Multiscale Entropy of Electroencephalogram as a Potential Predictor for the Prognosis of Neonatal Seizures.

Wen-Yu Lu, Jyun-Yu Chen, Chi-Feng Chang, Wen-Chin Weng, Wang-Tso Lee, Jiann-Shing Shieh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Computational EEG attributes predict response to therapy for epileptic spasms.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
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  7. Measuring the effects of sleep on epileptogenicity with multifrequency entropy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
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  19. Complexity of brain signals is associated with outcome in preterm infants.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017
    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.

Wen-Yu LuDepartment of Pediatrics, New Taipei City Hospital, Taipei, Taiwan.
Jyun-Yu ChenDepartment of Mechanical Engineering, Yuan Ze University, Taoyuan, Taiwan.
Chi-Feng ChangDepartment of Mechanical Engineering, Yuan Ze University, Taoyuan, Taiwan.
Wen-Chin WengDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Wang-Tso LeeDepartment of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan.
Jiann-Shing ShiehDepartment of Mechanical Engineering, Yuan Ze University, Taoyuan, Taiwan.
Yuan Ze University · TWNational Taiwan University Hospital · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncreasing animal studies supported the harmful effects of prolonged or frequent neonatal seizures in developing brain, including increased risk of later epilepsy. Various nonlinear analytic measures had been applied to investigate the change of brain complexity with age. This study focuses on clarifying the relationship between later epilepsy and the changes of electroencephalogram (EEG) complexity in neonatal seizures.

methodsEEG signals from 19 channels of the whole brain from 32 neonates below 2 months old were acquired. The neonates were classified into 3 groups: 9 were normal controls, 9 were neonatal seizures without later epilepsy, and 14 were neonatal seizures with later epilepsy. Sample entropy (SamEn), multiscale entropy (MSE) and complexity index (CI) were analyzed.

resultsAlthough there was no significant change in SamEn, the CI values showed significantly decreased over Channels C3, C4, and Cz in patients with neonatal seizures and later epilepsy compared with control group. More multifocal epileptiform discharges in EEG, more abnormal neuroimaging findings, and higher incidence of future developmental delay were noted in the group with later epilepsy.

conclusionsDecreased MSE and CI values in patients with neonatal seizures and later epilepsy may reflect the mixed effects of acute insults, underlying brain immaturity, and prolonged seizures-related injuries. The analysis of MSE and CI can therefore provide a quantifiable and accurate way to decrypt the mystery of neonatal seizures, and could be a promising predictor.

Indexed as

BrainCase-Control StudiesConvalescenceDisease ProgressionElectroencephalographyEntropyEpilepsy, Benign NeonatalFemaleHumansInfantInfant, NewbornMaleNeuroimagingPrognosisTime Factors

Identifiers

PMID26658680
PMCPMC4676749
OpenAlexW2190677612

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.