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Audience preferences are predicted by temporal reliability of neural processing

Naturalistic stimuli evoke highly reliable brain activity across viewers. Here we record neural activity from a group of naive individuals while viewing popular, previously-broadcast television content for which the broad audience response is characterized by social media activity and audience ratin...

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Detalles Bibliográficos
Autores principales: Dmochowski, Jacek P., Bezdek, Matthew A., Abelson, Brian P., Johnson, John S., Schumacher, Eric H., Parra, Lucas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Pub. Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124862/
https://www.ncbi.nlm.nih.gov/pubmed/25072833
http://dx.doi.org/10.1038/ncomms5567
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author Dmochowski, Jacek P.
Bezdek, Matthew A.
Abelson, Brian P.
Johnson, John S.
Schumacher, Eric H.
Parra, Lucas C.
author_facet Dmochowski, Jacek P.
Bezdek, Matthew A.
Abelson, Brian P.
Johnson, John S.
Schumacher, Eric H.
Parra, Lucas C.
author_sort Dmochowski, Jacek P.
collection PubMed
description Naturalistic stimuli evoke highly reliable brain activity across viewers. Here we record neural activity from a group of naive individuals while viewing popular, previously-broadcast television content for which the broad audience response is characterized by social media activity and audience ratings. We find that the level of inter-subject correlation in the evoked encephalographic responses predicts the expressions of interest and preference among thousands. Surprisingly, ratings of the larger audience are predicted with greater accuracy than those of the individuals from whom the neural data is obtained. An additional functional magnetic resonance imaging study employing a separate sample of subjects shows that the level of neural reliability evoked by these stimuli covaries with the amount of blood-oxygenation-level-dependent (BOLD) activation in higher-order visual and auditory regions. Our findings suggest that stimuli which we judge favourably may be those to which our brains respond in a stereotypical manner shared by our peers.
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spelling pubmed-41248622014-08-14 Audience preferences are predicted by temporal reliability of neural processing Dmochowski, Jacek P. Bezdek, Matthew A. Abelson, Brian P. Johnson, John S. Schumacher, Eric H. Parra, Lucas C. Nat Commun Article Naturalistic stimuli evoke highly reliable brain activity across viewers. Here we record neural activity from a group of naive individuals while viewing popular, previously-broadcast television content for which the broad audience response is characterized by social media activity and audience ratings. We find that the level of inter-subject correlation in the evoked encephalographic responses predicts the expressions of interest and preference among thousands. Surprisingly, ratings of the larger audience are predicted with greater accuracy than those of the individuals from whom the neural data is obtained. An additional functional magnetic resonance imaging study employing a separate sample of subjects shows that the level of neural reliability evoked by these stimuli covaries with the amount of blood-oxygenation-level-dependent (BOLD) activation in higher-order visual and auditory regions. Our findings suggest that stimuli which we judge favourably may be those to which our brains respond in a stereotypical manner shared by our peers. Nature Pub. Group 2014-07-29 /pmc/articles/PMC4124862/ /pubmed/25072833 http://dx.doi.org/10.1038/ncomms5567 Text en Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 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
Dmochowski, Jacek P.
Bezdek, Matthew A.
Abelson, Brian P.
Johnson, John S.
Schumacher, Eric H.
Parra, Lucas C.
Audience preferences are predicted by temporal reliability of neural processing
title Audience preferences are predicted by temporal reliability of neural processing
title_full Audience preferences are predicted by temporal reliability of neural processing
title_fullStr Audience preferences are predicted by temporal reliability of neural processing
title_full_unstemmed Audience preferences are predicted by temporal reliability of neural processing
title_short Audience preferences are predicted by temporal reliability of neural processing
title_sort audience preferences are predicted by temporal reliability of neural processing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124862/
https://www.ncbi.nlm.nih.gov/pubmed/25072833
http://dx.doi.org/10.1038/ncomms5567
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