Evidence map›Paper›PMID 24846704›Full record

ArticleScientific reports2014

Mapping brain injury with symmetrical-channels' EEG signal analysis--a pilot study.

Yi Li, Xiao-ping Liu, Xian-hong Ling, Jing-qi Li, Wen-wei Yang, Dan-ke Zhang, Li-hua Li, Yong Yang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Yi Li1] College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China [2].
Xiao-ping Liu1] College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China [2].
Xian-hong LingCollege of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China.
Jing-qi LiWu jing Hospital, Rehabilitation Center, Hangzhou Zhejiang 31400, China.
Wen-wei YangCollege of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China.
Dan-ke ZhangCollege of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China.
Li-hua LiCollege of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China.
Yong YangCollege of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A technique for detecting brain injury at the bedside has great clinical value, but conventional imaging techniques (such as computed tomography [CT] and magnetic resonance imaging) are impractical. In this study, a novel method-the symmetrical channel electroencephalogram (EEG) signal analysis-was developed for this purpose. The study population consisted of 45 traumatic brain injury patients and 10 healthy controls. EEG signals in resting and stimulus states were acquired, and approximate entropy (ApEn) and slow-wave coefficient were extracted to calculate the ratio values of ApEn and SWC for injured and uninjured areas. Statistical analyses showed that the ratio values for both ApEn and SWC between injured and uninjured brain areas differed significantly (P<0.05) for both resting and name call stimulus states. A set of criteria (range of ratio values) to determine whether a brain area is injured or uninjured was proposed and its reliability was verified by statistical analyses and CT images.

Indexed as

EntropySignal Processing, Computer-AssistedAdultBrainBrain InjuriesBrain MappingCase-Control StudiesElectroencephalographyFemaleFollow-Up StudiesHumansMalePilot ProjectsPrognosisYoung Adult

Identifiers

PMID24846704
PMCPMC4028679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.