Evidence map›Paper›PMID 27699169›Full record

ArticleBioMed research international2016

Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal.

Hamidreza Namazi, Amin Akrami, Sina Nazeri, Vladimir V Kulish

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hamidreza NamaziSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.ORCID 0000-0003-2711-2080
Amin AkramiSchool of Metallurgy and Material Engineering, University of Tehran, Tehran, Iran.
Sina NazeriFaculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia.
Vladimir V KulishSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.ORCID 0000-0001-9978-5423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important challenge in brain research is to make out the relation between the features of olfactory stimuli and the electroencephalogram (EEG) signal. Yet, no one has discovered any relation between the structures of olfactory stimuli and the EEG signal. This study investigates the relation between the structures of EEG signal and the olfactory stimulus (odorant). We show that the complexity of the EEG signal is coupled with the molecular complexity of the odorant, where more structurally complex odorant causes less fractal EEG signal. Also, odorant having higher entropy causes the EEG signal to have lower approximate entropy. The method discussed here can be applied and investigated in case of patients with brain diseases as the rehabilitation purpose.

Indexed as

AdultBrain DiseasesElectroencephalographyEntropyFemaleHumansMaleOdorantsOlfactory CortexOlfactory PathwaysRehabilitationSmellYoung Adult

Identifiers

PMID27699169
PMCPMC5031905

What OpenQuestion holds

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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.