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Retracted

BioMed Research International has retracted the article titled “Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal” [1] due to concerns about the ethical approval. An institutional investigation found that the human subjects’ research was not approved by the Internal Review Board of Nanyang Technological University, where the first and last authors were affiliated.

The authors say the research was approved and conducted at Dr. Ahmadian Clinic, 3/22 St., Third Niroo Havaie Ave., Piroozi Ave., Tehran, in September 2015. This was not stated in the article and we cannot find further details of this clinic or Dr. Ahmadian. An ethical approval document for the project “Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal” was provided by the first author, dated July 2, 2015, with the approval number D/A/36990 and signed by Dr. Shahaab Ahmadian. The authors also provided blank consent forms in English and Farsi. The institution asked for the article to be retracted and this is supported by the editorial board. The authors do not agree with retraction.

View the full Retraction here.

References

  1. H. Namazi, A. Akrami, S. Nazeri, and V. V. Kulish, “Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal,” BioMed Research International, vol. 2016, Article ID 5469587, 2016.
BioMed Research International
Volume 2016, Article ID 5469587, 5 pages
http://dx.doi.org/10.1155/2016/5469587
Research Article

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

1School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
2School of Metallurgy and Material Engineering, University of Tehran, Tehran, Iran
3Faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia

Received 22 June 2016; Accepted 22 August 2016

Academic Editor: Jongsang Son

Copyright © 2016 Hamidreza Namazi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.