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The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis
The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between fr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593173/ https://www.ncbi.nlm.nih.gov/pubmed/26434769 http://dx.doi.org/10.1038/srep14765 |
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author | Li, Fali Tian, Yin Zhang, Yangsong Qiu, Kan Tian, Chunyang Jing, Wei Liu, Tiejun Xia, Yang Guo, Daqing Yao, Dezhong Xu, Peng |
author_facet | Li, Fali Tian, Yin Zhang, Yangsong Qiu, Kan Tian, Chunyang Jing, Wei Liu, Tiejun Xia, Yang Guo, Daqing Yao, Dezhong Xu, Peng |
author_sort | Li, Fali |
collection | PubMed |
description | The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches. |
format | Online Article Text |
id | pubmed-4593173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45931732015-10-19 The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis Li, Fali Tian, Yin Zhang, Yangsong Qiu, Kan Tian, Chunyang Jing, Wei Liu, Tiejun Xia, Yang Guo, Daqing Yao, Dezhong Xu, Peng Sci Rep Article The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches. Nature Publishing Group 2015-10-05 /pmc/articles/PMC4593173/ /pubmed/26434769 http://dx.doi.org/10.1038/srep14765 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Li, Fali Tian, Yin Zhang, Yangsong Qiu, Kan Tian, Chunyang Jing, Wei Liu, Tiejun Xia, Yang Guo, Daqing Yao, Dezhong Xu, Peng The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title | The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title_full | The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title_fullStr | The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title_full_unstemmed | The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title_short | The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis |
title_sort | enhanced information flow from visual cortex to frontal area facilitates ssvep response: evidence from model-driven and data-driven causality analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593173/ https://www.ncbi.nlm.nih.gov/pubmed/26434769 http://dx.doi.org/10.1038/srep14765 |
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