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Periodic attention operates faster during more complex visual search

Attention has been found to sample visual information periodically, in a wide range of frequencies below 20 Hz. This periodicity may be supported by brain oscillations at corresponding frequencies. We propose that part of the discrepancy in periodic frequencies observed in the literature is due to d...

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Autores principales: Merholz, Garance, Grabot, Laetitia, VanRullen, Rufin, Dugué, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035177/
https://www.ncbi.nlm.nih.gov/pubmed/35461325
http://dx.doi.org/10.1038/s41598-022-10647-5
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author Merholz, Garance
Grabot, Laetitia
VanRullen, Rufin
Dugué, Laura
author_facet Merholz, Garance
Grabot, Laetitia
VanRullen, Rufin
Dugué, Laura
author_sort Merholz, Garance
collection PubMed
description Attention has been found to sample visual information periodically, in a wide range of frequencies below 20 Hz. This periodicity may be supported by brain oscillations at corresponding frequencies. We propose that part of the discrepancy in periodic frequencies observed in the literature is due to differences in attentional demands, resulting from heterogeneity in tasks performed. To test this hypothesis, we used visual search and manipulated task complexity, i.e., target discriminability (high, medium, low) and number of distractors (set size), while electro-encephalography was simultaneously recorded. We replicated previous results showing that the phase of pre-stimulus low-frequency oscillations predicts search performance. Crucially, such effects were observed at increasing frequencies within the theta-alpha range (6–18 Hz) for decreasing target discriminability. In medium and low discriminability conditions, correct responses were further associated with higher post-stimulus phase-locking than incorrect ones, in increasing frequency and latency. Finally, the larger the set size, the later the post-stimulus effect peaked. Together, these results suggest that increased complexity (lower discriminability or larger set size) requires more attentional cycles to perform the task, partially explaining discrepancies between reports of attentional sampling. Low-frequency oscillations structure the temporal dynamics of neural activity and aid top-down, attentional control for efficient visual processing.
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spelling pubmed-90351772022-04-27 Periodic attention operates faster during more complex visual search Merholz, Garance Grabot, Laetitia VanRullen, Rufin Dugué, Laura Sci Rep Article Attention has been found to sample visual information periodically, in a wide range of frequencies below 20 Hz. This periodicity may be supported by brain oscillations at corresponding frequencies. We propose that part of the discrepancy in periodic frequencies observed in the literature is due to differences in attentional demands, resulting from heterogeneity in tasks performed. To test this hypothesis, we used visual search and manipulated task complexity, i.e., target discriminability (high, medium, low) and number of distractors (set size), while electro-encephalography was simultaneously recorded. We replicated previous results showing that the phase of pre-stimulus low-frequency oscillations predicts search performance. Crucially, such effects were observed at increasing frequencies within the theta-alpha range (6–18 Hz) for decreasing target discriminability. In medium and low discriminability conditions, correct responses were further associated with higher post-stimulus phase-locking than incorrect ones, in increasing frequency and latency. Finally, the larger the set size, the later the post-stimulus effect peaked. Together, these results suggest that increased complexity (lower discriminability or larger set size) requires more attentional cycles to perform the task, partially explaining discrepancies between reports of attentional sampling. Low-frequency oscillations structure the temporal dynamics of neural activity and aid top-down, attentional control for efficient visual processing. Nature Publishing Group UK 2022-04-23 /pmc/articles/PMC9035177/ /pubmed/35461325 http://dx.doi.org/10.1038/s41598-022-10647-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Merholz, Garance
Grabot, Laetitia
VanRullen, Rufin
Dugué, Laura
Periodic attention operates faster during more complex visual search
title Periodic attention operates faster during more complex visual search
title_full Periodic attention operates faster during more complex visual search
title_fullStr Periodic attention operates faster during more complex visual search
title_full_unstemmed Periodic attention operates faster during more complex visual search
title_short Periodic attention operates faster during more complex visual search
title_sort periodic attention operates faster during more complex visual search
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035177/
https://www.ncbi.nlm.nih.gov/pubmed/35461325
http://dx.doi.org/10.1038/s41598-022-10647-5
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