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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9035177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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