Cargando…

Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention

Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional s...

Descripción completa

Detalles Bibliográficos
Autores principales: Aussel, Amélie, Fiebelkorn, Ian C, Kastner, Sabine, Kopell, Nancy J, Pittman-Polletta, Benjamin Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129332/
https://www.ncbi.nlm.nih.gov/pubmed/36718998
http://dx.doi.org/10.7554/eLife.67684
_version_ 1785030710210330624
author Aussel, Amélie
Fiebelkorn, Ian C
Kastner, Sabine
Kopell, Nancy J
Pittman-Polletta, Benjamin Rafael
author_facet Aussel, Amélie
Fiebelkorn, Ian C
Kastner, Sabine
Kopell, Nancy J
Pittman-Polletta, Benjamin Rafael
author_sort Aussel, Amélie
collection PubMed
description Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β, and γ frequencies—rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility.
format Online
Article
Text
id pubmed-10129332
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher eLife Sciences Publications, Ltd
record_format MEDLINE/PubMed
spelling pubmed-101293322023-04-26 Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention Aussel, Amélie Fiebelkorn, Ian C Kastner, Sabine Kopell, Nancy J Pittman-Polletta, Benjamin Rafael eLife Neuroscience Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β, and γ frequencies—rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility. eLife Sciences Publications, Ltd 2023-01-31 /pmc/articles/PMC10129332/ /pubmed/36718998 http://dx.doi.org/10.7554/eLife.67684 Text en © 2023, Aussel et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Aussel, Amélie
Fiebelkorn, Ian C
Kastner, Sabine
Kopell, Nancy J
Pittman-Polletta, Benjamin Rafael
Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title_full Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title_fullStr Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title_full_unstemmed Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title_short Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
title_sort interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129332/
https://www.ncbi.nlm.nih.gov/pubmed/36718998
http://dx.doi.org/10.7554/eLife.67684
work_keys_str_mv AT ausselamelie interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention
AT fiebelkornianc interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention
AT kastnersabine interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention
AT kopellnancyj interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention
AT pittmanpollettabenjaminrafael interactingrhythmsenhancesensitivityoftargetdetectioninafrontoparietalcomputationalmodelofvisualattention