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Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task

The diameter of the human pupil tracks working memory processing and is associated with activity in the frontoparietal network. At the same time, recent neuroimaging research has linked human pupil fluctuations to activity in the salience network. In this combined functional magnetic resonance imagi...

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Autores principales: Fietz, Julia, Pöhlchen, Dorothee, Binder, Florian P., Czisch, Michael, Sämann, Philipp G., Spoormaker, Victor I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720183/
https://www.ncbi.nlm.nih.gov/pubmed/34622518
http://dx.doi.org/10.1002/hbm.25678
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author Fietz, Julia
Pöhlchen, Dorothee
Binder, Florian P.
Czisch, Michael
Sämann, Philipp G.
Spoormaker, Victor I.
author_facet Fietz, Julia
Pöhlchen, Dorothee
Binder, Florian P.
Czisch, Michael
Sämann, Philipp G.
Spoormaker, Victor I.
author_sort Fietz, Julia
collection PubMed
description The diameter of the human pupil tracks working memory processing and is associated with activity in the frontoparietal network. At the same time, recent neuroimaging research has linked human pupil fluctuations to activity in the salience network. In this combined functional magnetic resonance imaging (fMRI)/pupillometry study, we recorded the pupil size of healthy human participants while they performed a blockwise organized working memory task (N‐back) inside an MRI scanner in order to monitor the pupil fluctuations associated neural activity during working memory processing. We first confirmed that mean pupil size closely followed working memory load. Combining this with fMRI data, we focused on blood oxygen level dependent (BOLD) correlates of mean pupil size modeled onto the task blocks as a parametric modulation. Interrogating this modulated task regressor, we were able to retrieve the frontoparietal network. Next, to fully exploit the within‐block dynamics, we divided the blocks into 1 s time bins and filled these with corresponding pupil change values (first‐order derivative of pupil size). We found that pupil change within N‐back blocks was positively correlated with BOLD amplitudes in the areas of the salience network (namely bilateral insula, and anterior cingulate cortex). Taken together, fMRI with simultaneous measurement of pupil parameters constitutes a valuable tool to dissect working memory subprocesses related to both working memory load and salience of the presented stimuli.
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spelling pubmed-87201832022-01-07 Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task Fietz, Julia Pöhlchen, Dorothee Binder, Florian P. Czisch, Michael Sämann, Philipp G. Spoormaker, Victor I. Hum Brain Mapp Research Articles The diameter of the human pupil tracks working memory processing and is associated with activity in the frontoparietal network. At the same time, recent neuroimaging research has linked human pupil fluctuations to activity in the salience network. In this combined functional magnetic resonance imaging (fMRI)/pupillometry study, we recorded the pupil size of healthy human participants while they performed a blockwise organized working memory task (N‐back) inside an MRI scanner in order to monitor the pupil fluctuations associated neural activity during working memory processing. We first confirmed that mean pupil size closely followed working memory load. Combining this with fMRI data, we focused on blood oxygen level dependent (BOLD) correlates of mean pupil size modeled onto the task blocks as a parametric modulation. Interrogating this modulated task regressor, we were able to retrieve the frontoparietal network. Next, to fully exploit the within‐block dynamics, we divided the blocks into 1 s time bins and filled these with corresponding pupil change values (first‐order derivative of pupil size). We found that pupil change within N‐back blocks was positively correlated with BOLD amplitudes in the areas of the salience network (namely bilateral insula, and anterior cingulate cortex). Taken together, fMRI with simultaneous measurement of pupil parameters constitutes a valuable tool to dissect working memory subprocesses related to both working memory load and salience of the presented stimuli. John Wiley & Sons, Inc. 2021-10-08 /pmc/articles/PMC8720183/ /pubmed/34622518 http://dx.doi.org/10.1002/hbm.25678 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Fietz, Julia
Pöhlchen, Dorothee
Binder, Florian P.
Czisch, Michael
Sämann, Philipp G.
Spoormaker, Victor I.
Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title_full Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title_fullStr Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title_full_unstemmed Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title_short Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
title_sort pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720183/
https://www.ncbi.nlm.nih.gov/pubmed/34622518
http://dx.doi.org/10.1002/hbm.25678
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