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Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory
Working memory is imprecise, and these imprecisions can be explained by the combined influences of random diffusive error and systematic drift toward a set of stable states (“attractors”). However, the neural correlates of diffusion and drift remain unknown. Here, we investigated how delay-period ac...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500688/ https://www.ncbi.nlm.nih.gov/pubmed/32898172 http://dx.doi.org/10.1371/journal.pbio.3000854 |
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author | Yu, Qing Panichello, Matthew F. Cai, Ying Postle, Bradley R. Buschman, Timothy J. |
author_facet | Yu, Qing Panichello, Matthew F. Cai, Ying Postle, Bradley R. Buschman, Timothy J. |
author_sort | Yu, Qing |
collection | PubMed |
description | Working memory is imprecise, and these imprecisions can be explained by the combined influences of random diffusive error and systematic drift toward a set of stable states (“attractors”). However, the neural correlates of diffusion and drift remain unknown. Here, we investigated how delay-period activity in frontal and parietal cortex, which is known to correlate with the decline in behavioral memory precision observed with increasing memory load, might relate to diffusion and drift. We analyzed data from an existing experiment in which subjects performed delayed recall for line orientation, at different loads, during functional magnetic resonance imaging (fMRI) scanning. To quantify the influence of drift and diffusion, we modeled subjects’ behavior using a discrete attractor model and calculated within-subject correlation between frontal and parietal delay-period activity and whole-trial estimates of drift and diffusion. We found that although increases in frontal and parietal activity were associated with increases in both diffusion and drift, diffusion explained the most variance in frontal and parietal delay-period activity. In comparison, a subsequent whole-brain regression analysis showed that drift, rather than diffusion, explained the most variance in delay-period activity in lateral occipital cortex. These results are consistent with a model of the differential recruitment of general frontoparietal mechanisms in response to diffusive noise and of stimulus-specific biases in occipital cortex. |
format | Online Article Text |
id | pubmed-7500688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75006882020-09-24 Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory Yu, Qing Panichello, Matthew F. Cai, Ying Postle, Bradley R. Buschman, Timothy J. PLoS Biol Short Reports Working memory is imprecise, and these imprecisions can be explained by the combined influences of random diffusive error and systematic drift toward a set of stable states (“attractors”). However, the neural correlates of diffusion and drift remain unknown. Here, we investigated how delay-period activity in frontal and parietal cortex, which is known to correlate with the decline in behavioral memory precision observed with increasing memory load, might relate to diffusion and drift. We analyzed data from an existing experiment in which subjects performed delayed recall for line orientation, at different loads, during functional magnetic resonance imaging (fMRI) scanning. To quantify the influence of drift and diffusion, we modeled subjects’ behavior using a discrete attractor model and calculated within-subject correlation between frontal and parietal delay-period activity and whole-trial estimates of drift and diffusion. We found that although increases in frontal and parietal activity were associated with increases in both diffusion and drift, diffusion explained the most variance in frontal and parietal delay-period activity. In comparison, a subsequent whole-brain regression analysis showed that drift, rather than diffusion, explained the most variance in delay-period activity in lateral occipital cortex. These results are consistent with a model of the differential recruitment of general frontoparietal mechanisms in response to diffusive noise and of stimulus-specific biases in occipital cortex. Public Library of Science 2020-09-08 /pmc/articles/PMC7500688/ /pubmed/32898172 http://dx.doi.org/10.1371/journal.pbio.3000854 Text en © 2020 Yu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Short Reports Yu, Qing Panichello, Matthew F. Cai, Ying Postle, Bradley R. Buschman, Timothy J. Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title | Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title_full | Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title_fullStr | Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title_full_unstemmed | Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title_short | Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
title_sort | delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory |
topic | Short Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500688/ https://www.ncbi.nlm.nih.gov/pubmed/32898172 http://dx.doi.org/10.1371/journal.pbio.3000854 |
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