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Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction
Prediction is essential for the efficiency of many cognitive processes; however, this process is not always perfect. Predictive coding theory suggests that the brain generates and updates a prediction to respond to an upcoming event. Although an electrophysiological index of prediction, the stimulus...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947806/ https://www.ncbi.nlm.nih.gov/pubmed/33716697 http://dx.doi.org/10.3389/fnhum.2021.630288 |
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author | Ono, Kentaro Hashimoto, Junya Hiramoto, Ryosuke Sasaoka, Takafumi Yamawaki, Shigeto |
author_facet | Ono, Kentaro Hashimoto, Junya Hiramoto, Ryosuke Sasaoka, Takafumi Yamawaki, Shigeto |
author_sort | Ono, Kentaro |
collection | PubMed |
description | Prediction is essential for the efficiency of many cognitive processes; however, this process is not always perfect. Predictive coding theory suggests that the brain generates and updates a prediction to respond to an upcoming event. Although an electrophysiological index of prediction, the stimulus preceding negativity (SPN), has been reported, it remains unknown whether the SPN reflects the prediction accuracy, or whether it is associated with the prediction error, which corresponds to a mismatch between a prediction and an actual input. Thus, the present study aimed to investigate this question using electroencephalography (EEG). Participants were asked to predict the original pictures from pictures that had undergone different levels of pixelation. The SPN amplitude was affected by the level of pixelation and correlated with the subjective evaluation of the prediction accuracy. Furthermore, late positive components (LPC) were negatively correlated with SPN. These results suggest that the amplitude of SPN reflects the prediction accuracy; more accurate prediction increases the SPN and reduces the prediction error, resulting in reduced LPC amplitudes. |
format | Online Article Text |
id | pubmed-7947806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79478062021-03-12 Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction Ono, Kentaro Hashimoto, Junya Hiramoto, Ryosuke Sasaoka, Takafumi Yamawaki, Shigeto Front Hum Neurosci Human Neuroscience Prediction is essential for the efficiency of many cognitive processes; however, this process is not always perfect. Predictive coding theory suggests that the brain generates and updates a prediction to respond to an upcoming event. Although an electrophysiological index of prediction, the stimulus preceding negativity (SPN), has been reported, it remains unknown whether the SPN reflects the prediction accuracy, or whether it is associated with the prediction error, which corresponds to a mismatch between a prediction and an actual input. Thus, the present study aimed to investigate this question using electroencephalography (EEG). Participants were asked to predict the original pictures from pictures that had undergone different levels of pixelation. The SPN amplitude was affected by the level of pixelation and correlated with the subjective evaluation of the prediction accuracy. Furthermore, late positive components (LPC) were negatively correlated with SPN. These results suggest that the amplitude of SPN reflects the prediction accuracy; more accurate prediction increases the SPN and reduces the prediction error, resulting in reduced LPC amplitudes. Frontiers Media S.A. 2021-02-25 /pmc/articles/PMC7947806/ /pubmed/33716697 http://dx.doi.org/10.3389/fnhum.2021.630288 Text en Copyright © 2021 Ono, Hashimoto, Hiramoto, Sasaoka and Yamawaki. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Ono, Kentaro Hashimoto, Junya Hiramoto, Ryosuke Sasaoka, Takafumi Yamawaki, Shigeto Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title | Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title_full | Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title_fullStr | Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title_full_unstemmed | Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title_short | Modulatory Effects of Prediction Accuracy on Electroencephalographic Brain Activity During Prediction |
title_sort | modulatory effects of prediction accuracy on electroencephalographic brain activity during prediction |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947806/ https://www.ncbi.nlm.nih.gov/pubmed/33716697 http://dx.doi.org/10.3389/fnhum.2021.630288 |
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