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Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies
BACKGROUND: Photosensitive epilepsy is a type of reflexive epilepsy triggered by various visual stimuli including colourful ones. Despite the ubiquitous presence of colorful displays, brain responses against different colour combinations are not properly studied. METHODOLOGY/PRINCIPAL FINDINGS: Here...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747006/ https://www.ncbi.nlm.nih.gov/pubmed/19779630 http://dx.doi.org/10.1371/journal.pone.0007173 |
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author | Bhagat, Mayank Bhushan, Chitresh Saha, Goutam Shimjo, Shinsuke Watanabe, Katsumi Bhattacharya, Joydeep |
author_facet | Bhagat, Mayank Bhushan, Chitresh Saha, Goutam Shimjo, Shinsuke Watanabe, Katsumi Bhattacharya, Joydeep |
author_sort | Bhagat, Mayank |
collection | PubMed |
description | BACKGROUND: Photosensitive epilepsy is a type of reflexive epilepsy triggered by various visual stimuli including colourful ones. Despite the ubiquitous presence of colorful displays, brain responses against different colour combinations are not properly studied. METHODOLOGY/PRINCIPAL FINDINGS: Here, we studied the photosensitivity of the human brain against three types of chromatic flickering stimuli by recording neuromagnetic brain responses (magnetoencephalogram, MEG) from nine adult controls, an unmedicated patient, a medicated patient, and two controls age-matched with patients. Dynamical complexities of MEG signals were investigated by a family of wavelet entropies. Wavelet entropy is a newly proposed measure to characterize large scale brain responses, which quantifies the degree of order/disorder associated with a multi-frequency signal response. In particular, we found that as compared to the unmedicated patient, controls showed significantly larger wavelet entropy values. We also found that Renyi entropy is the most powerful feature for the participant classification. Finally, we also demonstrated the effect of combinational chromatic sensitivity on the underlying order/disorder in MEG signals. CONCLUSIONS/SIGNIFICANCE: Our results suggest that when perturbed by potentially epileptic-triggering stimulus, healthy human brain manages to maintain a non-deterministic, possibly nonlinear state, with high degree of disorder, but an epileptic brain represents a highly ordered state which making it prone to hyper-excitation. Further, certain colour combination was found to be more threatening than other combinations. |
format | Text |
id | pubmed-2747006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27470062009-09-25 Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies Bhagat, Mayank Bhushan, Chitresh Saha, Goutam Shimjo, Shinsuke Watanabe, Katsumi Bhattacharya, Joydeep PLoS One Research Article BACKGROUND: Photosensitive epilepsy is a type of reflexive epilepsy triggered by various visual stimuli including colourful ones. Despite the ubiquitous presence of colorful displays, brain responses against different colour combinations are not properly studied. METHODOLOGY/PRINCIPAL FINDINGS: Here, we studied the photosensitivity of the human brain against three types of chromatic flickering stimuli by recording neuromagnetic brain responses (magnetoencephalogram, MEG) from nine adult controls, an unmedicated patient, a medicated patient, and two controls age-matched with patients. Dynamical complexities of MEG signals were investigated by a family of wavelet entropies. Wavelet entropy is a newly proposed measure to characterize large scale brain responses, which quantifies the degree of order/disorder associated with a multi-frequency signal response. In particular, we found that as compared to the unmedicated patient, controls showed significantly larger wavelet entropy values. We also found that Renyi entropy is the most powerful feature for the participant classification. Finally, we also demonstrated the effect of combinational chromatic sensitivity on the underlying order/disorder in MEG signals. CONCLUSIONS/SIGNIFICANCE: Our results suggest that when perturbed by potentially epileptic-triggering stimulus, healthy human brain manages to maintain a non-deterministic, possibly nonlinear state, with high degree of disorder, but an epileptic brain represents a highly ordered state which making it prone to hyper-excitation. Further, certain colour combination was found to be more threatening than other combinations. Public Library of Science 2009-09-25 /pmc/articles/PMC2747006/ /pubmed/19779630 http://dx.doi.org/10.1371/journal.pone.0007173 Text en Bhagat et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bhagat, Mayank Bhushan, Chitresh Saha, Goutam Shimjo, Shinsuke Watanabe, Katsumi Bhattacharya, Joydeep Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title | Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title_full | Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title_fullStr | Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title_full_unstemmed | Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title_short | Investigating Neuromagnetic Brain Responses against Chromatic Flickering Stimuli by Wavelet Entropies |
title_sort | investigating neuromagnetic brain responses against chromatic flickering stimuli by wavelet entropies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2747006/ https://www.ncbi.nlm.nih.gov/pubmed/19779630 http://dx.doi.org/10.1371/journal.pone.0007173 |
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