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One-year-later spontaneous EEG features predict visual exploratory human phenotypes
During visual exploration, eye movements are controlled by multiple stimulus- and goal-driven factors. We recently showed that the dynamics of eye movements –how/when the eye move– during natural scenes’ free viewing were similar across individuals and identified two viewing styles: static and dynam...
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/PMC9744741/ https://www.ncbi.nlm.nih.gov/pubmed/36509841 http://dx.doi.org/10.1038/s42003-022-04294-9 |
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author | Celli, Miriam Mazzonetto, Ilaria Zangrossi, Andrea Bertoldo, Alessandra Cona, Giorgia Corbetta, Maurizio |
author_facet | Celli, Miriam Mazzonetto, Ilaria Zangrossi, Andrea Bertoldo, Alessandra Cona, Giorgia Corbetta, Maurizio |
author_sort | Celli, Miriam |
collection | PubMed |
description | During visual exploration, eye movements are controlled by multiple stimulus- and goal-driven factors. We recently showed that the dynamics of eye movements –how/when the eye move– during natural scenes’ free viewing were similar across individuals and identified two viewing styles: static and dynamic, characterized respectively by longer or shorter fixations. Interestingly, these styles could be revealed at rest, in the absence of any visual stimulus. This result supports a role of intrinsic activity in eye movement dynamics. Here we hypothesize that these two viewing styles correspond to different spontaneous patterns of brain activity. One year after the behavioural experiments, static and dynamic viewers were called back to the lab to record high density EEG activity during eyes open and eyes closed. Static viewers show higher cortical inhibition, slower individual alpha frequency peak, and longer memory of alpha oscillations. The opposite holds for dynamic viewers. We conclude that some properties of spontaneous activity predict exploratory eye movement dynamics during free viewing. |
format | Online Article Text |
id | pubmed-9744741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97447412022-12-14 One-year-later spontaneous EEG features predict visual exploratory human phenotypes Celli, Miriam Mazzonetto, Ilaria Zangrossi, Andrea Bertoldo, Alessandra Cona, Giorgia Corbetta, Maurizio Commun Biol Article During visual exploration, eye movements are controlled by multiple stimulus- and goal-driven factors. We recently showed that the dynamics of eye movements –how/when the eye move– during natural scenes’ free viewing were similar across individuals and identified two viewing styles: static and dynamic, characterized respectively by longer or shorter fixations. Interestingly, these styles could be revealed at rest, in the absence of any visual stimulus. This result supports a role of intrinsic activity in eye movement dynamics. Here we hypothesize that these two viewing styles correspond to different spontaneous patterns of brain activity. One year after the behavioural experiments, static and dynamic viewers were called back to the lab to record high density EEG activity during eyes open and eyes closed. Static viewers show higher cortical inhibition, slower individual alpha frequency peak, and longer memory of alpha oscillations. The opposite holds for dynamic viewers. We conclude that some properties of spontaneous activity predict exploratory eye movement dynamics during free viewing. Nature Publishing Group UK 2022-12-12 /pmc/articles/PMC9744741/ /pubmed/36509841 http://dx.doi.org/10.1038/s42003-022-04294-9 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Celli, Miriam Mazzonetto, Ilaria Zangrossi, Andrea Bertoldo, Alessandra Cona, Giorgia Corbetta, Maurizio One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title | One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title_full | One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title_fullStr | One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title_full_unstemmed | One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title_short | One-year-later spontaneous EEG features predict visual exploratory human phenotypes |
title_sort | one-year-later spontaneous eeg features predict visual exploratory human phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744741/ https://www.ncbi.nlm.nih.gov/pubmed/36509841 http://dx.doi.org/10.1038/s42003-022-04294-9 |
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