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Evidence for a theta‐band behavioural oscillation in rapid face detection

Theories of rhythmic perception propose that perceptual sampling operates in a periodic way, with alternating moments of high and low responsiveness to sensory inputs. This rhythmic sampling is linked to neural oscillations and thought to produce fluctuations in behavioural outcomes. Previous studie...

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Autores principales: Liu, Xiaoyi, Balestrieri, Elio, Melcher, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805000/
https://www.ncbi.nlm.nih.gov/pubmed/35943892
http://dx.doi.org/10.1111/ejn.15790
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author Liu, Xiaoyi
Balestrieri, Elio
Melcher, David
author_facet Liu, Xiaoyi
Balestrieri, Elio
Melcher, David
author_sort Liu, Xiaoyi
collection PubMed
description Theories of rhythmic perception propose that perceptual sampling operates in a periodic way, with alternating moments of high and low responsiveness to sensory inputs. This rhythmic sampling is linked to neural oscillations and thought to produce fluctuations in behavioural outcomes. Previous studies have revealed theta‐ and alpha‐band behavioural oscillations in low‐level visual tasks and object categorization. However, less is known about fluctuations in face perception, for which the human brain has developed a highly specialized network. To investigate this, we ran an online study (N = 179) incorporating the dense sampling technique with a dual‐target rapid serial visual presentation (RSVP) paradigm. In each trial, a stream of object images was presented at 30 Hz and participants were tasked with detecting whether or not there was a face image in the sequence. On some trials, one or two (identical) face images (the target) were embedded in each stream. On dual‐target trials, the targets were separated by an interstimulus interval (ISI) that varied between 0 to 633 ms. The task was to indicate the presence of the target and its gender if present. Performance varied as a function of ISI, with a significant behavioural oscillation in the face detection task at 7.5 Hz, driven mainly by the male target faces. This finding is consistent with a high theta‐band‐based fluctuation in visual processing. Such fluctuations might reflect rhythmic attentional sampling or, alternatively, feedback loops involved in updating top‐down predictions.
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spelling pubmed-98050002023-01-06 Evidence for a theta‐band behavioural oscillation in rapid face detection Liu, Xiaoyi Balestrieri, Elio Melcher, David Eur J Neurosci Cognitive Neuroscience Theories of rhythmic perception propose that perceptual sampling operates in a periodic way, with alternating moments of high and low responsiveness to sensory inputs. This rhythmic sampling is linked to neural oscillations and thought to produce fluctuations in behavioural outcomes. Previous studies have revealed theta‐ and alpha‐band behavioural oscillations in low‐level visual tasks and object categorization. However, less is known about fluctuations in face perception, for which the human brain has developed a highly specialized network. To investigate this, we ran an online study (N = 179) incorporating the dense sampling technique with a dual‐target rapid serial visual presentation (RSVP) paradigm. In each trial, a stream of object images was presented at 30 Hz and participants were tasked with detecting whether or not there was a face image in the sequence. On some trials, one or two (identical) face images (the target) were embedded in each stream. On dual‐target trials, the targets were separated by an interstimulus interval (ISI) that varied between 0 to 633 ms. The task was to indicate the presence of the target and its gender if present. Performance varied as a function of ISI, with a significant behavioural oscillation in the face detection task at 7.5 Hz, driven mainly by the male target faces. This finding is consistent with a high theta‐band‐based fluctuation in visual processing. Such fluctuations might reflect rhythmic attentional sampling or, alternatively, feedback loops involved in updating top‐down predictions. John Wiley and Sons Inc. 2022-08-18 2022-10 /pmc/articles/PMC9805000/ /pubmed/35943892 http://dx.doi.org/10.1111/ejn.15790 Text en © 2022 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Cognitive Neuroscience
Liu, Xiaoyi
Balestrieri, Elio
Melcher, David
Evidence for a theta‐band behavioural oscillation in rapid face detection
title Evidence for a theta‐band behavioural oscillation in rapid face detection
title_full Evidence for a theta‐band behavioural oscillation in rapid face detection
title_fullStr Evidence for a theta‐band behavioural oscillation in rapid face detection
title_full_unstemmed Evidence for a theta‐band behavioural oscillation in rapid face detection
title_short Evidence for a theta‐band behavioural oscillation in rapid face detection
title_sort evidence for a theta‐band behavioural oscillation in rapid face detection
topic Cognitive Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805000/
https://www.ncbi.nlm.nih.gov/pubmed/35943892
http://dx.doi.org/10.1111/ejn.15790
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