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Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias
Neural mechanisms of attention are extensively studied in the neocortex; comparatively little is known about how subcortical regions contribute to attention. The superior colliculus (SC) is an evolutionarily conserved, subcortical (midbrain) structure that has been implicated in controlling visuospa...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765279/ https://www.ncbi.nlm.nih.gov/pubmed/31492811 http://dx.doi.org/10.1073/pnas.1902704116 |
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author | Sreenivasan, Varsha Sridharan, Devarajan |
author_facet | Sreenivasan, Varsha Sridharan, Devarajan |
author_sort | Sreenivasan, Varsha |
collection | PubMed |
description | Neural mechanisms of attention are extensively studied in the neocortex; comparatively little is known about how subcortical regions contribute to attention. The superior colliculus (SC) is an evolutionarily conserved, subcortical (midbrain) structure that has been implicated in controlling visuospatial attention. Yet how the SC contributes mechanistically to attention remains unknown. We investigated the role of the SC in attention, combining model-based psychophysics, diffusion imaging, and tractography in human participants. Specifically, we asked whether the SC contributes to enhancing sensitivity (d′) to attended information, or whether it contributes to biasing choices (criteria) in favor of attended information. We tested human participants on a multialternative change detection task, with endogenous spatial cueing, and quantified sensitivity and bias with a recently developed multidimensional signal detection model (m-ADC model). At baseline, sensitivity and bias exhibited complementary patterns of asymmetries across the visual hemifields: While sensitivity was consistently higher for detecting changes in the left hemifield, bias was higher for reporting changes in the right hemifield. Remarkably, white matter connectivity of the SC with the neocortex mirrored this pattern of asymmetries. Specifically, the asymmetry in SC–cortex connectivity correlated with the asymmetry in choice bias, but not in sensitivity. In addition, SC–cortex connectivity strength could predict cueing-induced modulation of bias, but not of sensitivity, across individuals. In summary, the SC may be a key node in an evolutionarily conserved network for controlling choice bias during visuospatial attention. |
format | Online Article Text |
id | pubmed-6765279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-67652792019-10-02 Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias Sreenivasan, Varsha Sridharan, Devarajan Proc Natl Acad Sci U S A Biological Sciences Neural mechanisms of attention are extensively studied in the neocortex; comparatively little is known about how subcortical regions contribute to attention. The superior colliculus (SC) is an evolutionarily conserved, subcortical (midbrain) structure that has been implicated in controlling visuospatial attention. Yet how the SC contributes mechanistically to attention remains unknown. We investigated the role of the SC in attention, combining model-based psychophysics, diffusion imaging, and tractography in human participants. Specifically, we asked whether the SC contributes to enhancing sensitivity (d′) to attended information, or whether it contributes to biasing choices (criteria) in favor of attended information. We tested human participants on a multialternative change detection task, with endogenous spatial cueing, and quantified sensitivity and bias with a recently developed multidimensional signal detection model (m-ADC model). At baseline, sensitivity and bias exhibited complementary patterns of asymmetries across the visual hemifields: While sensitivity was consistently higher for detecting changes in the left hemifield, bias was higher for reporting changes in the right hemifield. Remarkably, white matter connectivity of the SC with the neocortex mirrored this pattern of asymmetries. Specifically, the asymmetry in SC–cortex connectivity correlated with the asymmetry in choice bias, but not in sensitivity. In addition, SC–cortex connectivity strength could predict cueing-induced modulation of bias, but not of sensitivity, across individuals. In summary, the SC may be a key node in an evolutionarily conserved network for controlling choice bias during visuospatial attention. National Academy of Sciences 2019-09-24 2019-09-06 /pmc/articles/PMC6765279/ /pubmed/31492811 http://dx.doi.org/10.1073/pnas.1902704116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Sreenivasan, Varsha Sridharan, Devarajan Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title | Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title_full | Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title_fullStr | Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title_full_unstemmed | Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title_short | Subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
title_sort | subcortical connectivity correlates selectively with attention’s effects on spatial choice bias |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765279/ https://www.ncbi.nlm.nih.gov/pubmed/31492811 http://dx.doi.org/10.1073/pnas.1902704116 |
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