Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784625088662863872 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8720183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fietzjulia pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT pohlchendorothee pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT binderflorianp pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT czischmichael pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT samannphilippg pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask AT spoormakervictori pupillometrytrackscognitiveloadandsaliencenetworkactivityinaworkingmemoryfunctionalmagneticresonanceimagingtask |