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Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses
BACKGROUND: One common criterion for classifying electrophysiological brain responses is based on the distinction between transient (i.e. event-related potentials, ERPs) and steady-state responses (SSRs). The generation of SSRs is usually attributed to the entrainment of a neural rhythm driven by th...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022588/ https://www.ncbi.nlm.nih.gov/pubmed/21267081 http://dx.doi.org/10.1371/journal.pone.0014543 |
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author | Capilla, Almudena Pazo-Alvarez, Paula Darriba, Alvaro Campo, Pablo Gross, Joachim |
author_facet | Capilla, Almudena Pazo-Alvarez, Paula Darriba, Alvaro Campo, Pablo Gross, Joachim |
author_sort | Capilla, Almudena |
collection | PubMed |
description | BACKGROUND: One common criterion for classifying electrophysiological brain responses is based on the distinction between transient (i.e. event-related potentials, ERPs) and steady-state responses (SSRs). The generation of SSRs is usually attributed to the entrainment of a neural rhythm driven by the stimulus train. However, a more parsimonious account suggests that SSRs might result from the linear addition of the transient responses elicited by each stimulus. This study aimed to investigate this possibility. METHODOLOGY/PRINCIPAL FINDINGS: We recorded brain potentials elicited by a checkerboard stimulus reversing at different rates. We modeled SSRs by sequentially shifting and linearly adding rate-specific ERPs. Our results show a strong resemblance between recorded and synthetic SSRs, supporting the superposition hypothesis. Furthermore, we did not find evidence of entrainment of a neural oscillation at the stimulation frequency. CONCLUSIONS/SIGNIFICANCE: This study provides evidence that visual SSRs can be explained as a superposition of transient ERPs. These findings have critical implications in our current understanding of brain oscillations. Contrary to the idea that neural networks can be tuned to a wide range of frequencies, our findings rather suggest that the oscillatory response of a given neural network is constrained within its natural frequency range. |
format | Text |
id | pubmed-3022588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30225882011-01-25 Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses Capilla, Almudena Pazo-Alvarez, Paula Darriba, Alvaro Campo, Pablo Gross, Joachim PLoS One Research Article BACKGROUND: One common criterion for classifying electrophysiological brain responses is based on the distinction between transient (i.e. event-related potentials, ERPs) and steady-state responses (SSRs). The generation of SSRs is usually attributed to the entrainment of a neural rhythm driven by the stimulus train. However, a more parsimonious account suggests that SSRs might result from the linear addition of the transient responses elicited by each stimulus. This study aimed to investigate this possibility. METHODOLOGY/PRINCIPAL FINDINGS: We recorded brain potentials elicited by a checkerboard stimulus reversing at different rates. We modeled SSRs by sequentially shifting and linearly adding rate-specific ERPs. Our results show a strong resemblance between recorded and synthetic SSRs, supporting the superposition hypothesis. Furthermore, we did not find evidence of entrainment of a neural oscillation at the stimulation frequency. CONCLUSIONS/SIGNIFICANCE: This study provides evidence that visual SSRs can be explained as a superposition of transient ERPs. These findings have critical implications in our current understanding of brain oscillations. Contrary to the idea that neural networks can be tuned to a wide range of frequencies, our findings rather suggest that the oscillatory response of a given neural network is constrained within its natural frequency range. Public Library of Science 2011-01-18 /pmc/articles/PMC3022588/ /pubmed/21267081 http://dx.doi.org/10.1371/journal.pone.0014543 Text en Capilla 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 Capilla, Almudena Pazo-Alvarez, Paula Darriba, Alvaro Campo, Pablo Gross, Joachim Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title | Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title_full | Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title_fullStr | Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title_full_unstemmed | Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title_short | Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses |
title_sort | steady-state visual evoked potentials can be explained by temporal superposition of transient event-related responses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022588/ https://www.ncbi.nlm.nih.gov/pubmed/21267081 http://dx.doi.org/10.1371/journal.pone.0014543 |
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