Evidence map›Paper›PMID 31316903›Full record

ArticleJournal of medical signals and sensors

Nonlinear Analysis of Electroencephalogram Signals while Listening to the Holy Quran.

Mahsa Vaghefi, Ali Motie Nasrabadi, Seyed Mohammad Reza Hashemi Golpayegani, Mohammad Reza Mohammadi, Shahriar Gharibzadeh

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical signals and sensors. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Neural Correlates of the Shamanic State of Consciousness.Frontiers in human neuroscience · 2021
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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

5 authors at 4 institutions in 1 country.

Mahsa VaghefiDepartment of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
Ali Motie NasrabadiDepartment of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran.
Seyed Mohammad Reza Hashemi GolpayeganiDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Mohammad Reza MohammadiDepartment of Child and Adolescent Psychiatry, Tehran University of Medical Sciences, Tehran, Iran.
Shahriar GharibzadehDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Amirkabir University of Technology · IRIslamic Azad University of Shiraz · IRShahed University · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrical activity of the brain, resulting from electrochemical signaling between neurons, is recorded by electroencephalogram (EEG). The neural network has complex behavior at different levels that strongly confirms the nonlinear nature of interactions in the human brain. This study has been designed and implemented with the aim of determining the effects of religious beliefs and the effect of listening to Holy Quran on electrical activity of the brain of the Iranian Persian-speaking Muslim volunteers.

methodsThe brain signals of 47 Persian-speaking Muslim volunteers while listening to the Holy Quran consciously, and while listening to the Holy Quran and the Arabic text unconsciously were used. Therefore, due to the nonlinear nature of EEG signals, these signals are studied using approximate entropy, sample entropy, Hurst exponent, and Detrended Fluctuation Analysis.

resultsStatistical analysis of the results has shown that listening to the Holy Quran consciously increases approximate entropy and sample entropy, and decreases Hurst Exponent and Detrended Fluctuation Analysis compared to other cases.

conclusionConsciously listening to the Holy Quran decreases self-similarity and correlation of brain signal and instead increases complexity and dynamicity in the brain.

Indexed as

ElectroencephalogramHoly Qurannonlinear analysis

Identifiers

PMID31316903
PMCPMC6601225
OpenAlexW2949028676

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.