Common cortical areas have different neural mechanisms for covert and overt visual pursuits

Abstract Although humans can direct their attention to visual targets with or without eye movements, it remains unclear how different brain mechanisms control visual attention and eye movements together and/or separately. Here, we measured MEG and fMRI data during covert/overt visual pursuit tasks a...

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Autores principales: Ken-ichi Morishige, Nobuo Hiroe, Masa-aki Sato, Mitsuo Kawato
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/4bbd5db87e604c43b3094a9460122c50
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spelling oai:doaj.org-article:4bbd5db87e604c43b3094a9460122c502021-12-02T16:14:55ZCommon cortical areas have different neural mechanisms for covert and overt visual pursuits10.1038/s41598-021-93259-92045-2322https://doaj.org/article/4bbd5db87e604c43b3094a9460122c502021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93259-9https://doaj.org/toc/2045-2322Abstract Although humans can direct their attention to visual targets with or without eye movements, it remains unclear how different brain mechanisms control visual attention and eye movements together and/or separately. Here, we measured MEG and fMRI data during covert/overt visual pursuit tasks and estimated cortical currents using our previously developed extra-dipole, hierarchical Bayesian method. Then, we predicted the time series of target positions and velocities from the estimated cortical currents of each task using a sparse machine-learning algorithm. The predicted target positions/velocities had high temporal correlations with actual visual target kinetics. Additionally, we investigated the generalization ability of predictive models among three conditions: control, covert, and overt pursuit tasks. When training and testing data were the same tasks, the largest reconstructed accuracies were overt, followed by covert and control, in that order. When training and testing data were selected from different tasks, accuracies were in reverse order. These results are well explained by the assumption that predictive models consist of combinations of three computational brain functions: visual information-processing, maintenance of attention, and eye-movement control. Our results indicate that separate subsets of neurons in the same cortical regions control visual attention and eye movements differently.Ken-ichi MorishigeNobuo HiroeMasa-aki SatoMitsuo KawatoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ken-ichi Morishige
Nobuo Hiroe
Masa-aki Sato
Mitsuo Kawato
Common cortical areas have different neural mechanisms for covert and overt visual pursuits
description Abstract Although humans can direct their attention to visual targets with or without eye movements, it remains unclear how different brain mechanisms control visual attention and eye movements together and/or separately. Here, we measured MEG and fMRI data during covert/overt visual pursuit tasks and estimated cortical currents using our previously developed extra-dipole, hierarchical Bayesian method. Then, we predicted the time series of target positions and velocities from the estimated cortical currents of each task using a sparse machine-learning algorithm. The predicted target positions/velocities had high temporal correlations with actual visual target kinetics. Additionally, we investigated the generalization ability of predictive models among three conditions: control, covert, and overt pursuit tasks. When training and testing data were the same tasks, the largest reconstructed accuracies were overt, followed by covert and control, in that order. When training and testing data were selected from different tasks, accuracies were in reverse order. These results are well explained by the assumption that predictive models consist of combinations of three computational brain functions: visual information-processing, maintenance of attention, and eye-movement control. Our results indicate that separate subsets of neurons in the same cortical regions control visual attention and eye movements differently.
format article
author Ken-ichi Morishige
Nobuo Hiroe
Masa-aki Sato
Mitsuo Kawato
author_facet Ken-ichi Morishige
Nobuo Hiroe
Masa-aki Sato
Mitsuo Kawato
author_sort Ken-ichi Morishige
title Common cortical areas have different neural mechanisms for covert and overt visual pursuits
title_short Common cortical areas have different neural mechanisms for covert and overt visual pursuits
title_full Common cortical areas have different neural mechanisms for covert and overt visual pursuits
title_fullStr Common cortical areas have different neural mechanisms for covert and overt visual pursuits
title_full_unstemmed Common cortical areas have different neural mechanisms for covert and overt visual pursuits
title_sort common cortical areas have different neural mechanisms for covert and overt visual pursuits
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/4bbd5db87e604c43b3094a9460122c50
work_keys_str_mv AT kenichimorishige commoncorticalareashavedifferentneuralmechanismsforcovertandovertvisualpursuits
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AT masaakisato commoncorticalareashavedifferentneuralmechanismsforcovertandovertvisualpursuits
AT mitsuokawato commoncorticalareashavedifferentneuralmechanismsforcovertandovertvisualpursuits
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