Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry

Mind wandering reflects the shift in attentional focus from task-related cognition driven by external stimuli toward self-generated and internally-oriented thought processes. Although such task-unrelated thoughts (TUTs) are pervasive and detrimental to task performance, their underlying neural mecha...

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Main Authors: Josephine M Groot, Nya M Boayue, Gábor Csifcsák, Wouter Boekel, René Huster, Birte U Forstmann, Matthias Mittner
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920308971
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author Josephine M Groot
Nya M Boayue
Gábor Csifcsák
Wouter Boekel
René Huster
Birte U Forstmann
Matthias Mittner
author_facet Josephine M Groot
Nya M Boayue
Gábor Csifcsák
Wouter Boekel
René Huster
Birte U Forstmann
Matthias Mittner
author_sort Josephine M Groot
collection DOAJ
description Mind wandering reflects the shift in attentional focus from task-related cognition driven by external stimuli toward self-generated and internally-oriented thought processes. Although such task-unrelated thoughts (TUTs) are pervasive and detrimental to task performance, their underlying neural mechanisms are only modestly understood. To investigate TUTs with high spatial and temporal precision, we simultaneously measured fMRI, EEG, and pupillometry in healthy adults while they performed a sustained attention task with experience sampling probes. Features of interest were extracted from each modality at the single-trial level and fed to a support vector machine that was trained on the probe responses. Compared to task-focused attention, the neural signature of TUTs was characterized by weaker activity in the default mode network but elevated activity in its anticorrelated network, stronger functional coupling between these networks, widespread increase in alpha, theta, delta, but not beta, frequency power, predominantly reduced amplitudes of late, but not early, event-related potentials, and larger baseline pupil size. Particularly, information contained in dynamic interactions between large-scale cortical networks was predictive of transient changes in attentional focus above other modalities. Together, our results provide insight into the spatiotemporal dynamics of TUTs and the neural markers that may facilitate their detection.
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spelling doaj.art-2b997aacb7e94f14925ff3b809821ed92022-12-21T18:53:03ZengElsevierNeuroImage1095-95722021-01-01224117412Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometryJosephine M Groot0Nya M Boayue1Gábor Csifcsák2Wouter Boekel3René Huster4Birte U Forstmann5Matthias Mittner6Department of Psychology, UiT – The Arctic University of Norway, 9037 Tromsø, Norway; Department of Psychology, University of Amsterdam, 1001 NK Amsterdam, The NetherlandsDepartment of Psychology, UiT – The Arctic University of Norway, 9037 Tromsø, NorwayDepartment of Psychology, UiT – The Arctic University of Norway, 9037 Tromsø, NorwayInstitute of Psychology, Leiden University, 2333 AK Leiden, The NetherlandsDepartment of Psychology, University of Oslo, 0317 Oslo, NorwayDepartment of Psychology, University of Amsterdam, 1001 NK Amsterdam, The NetherlandsDepartment of Psychology, UiT – The Arctic University of Norway, 9037 Tromsø, Norway; Corresponding author.Mind wandering reflects the shift in attentional focus from task-related cognition driven by external stimuli toward self-generated and internally-oriented thought processes. Although such task-unrelated thoughts (TUTs) are pervasive and detrimental to task performance, their underlying neural mechanisms are only modestly understood. To investigate TUTs with high spatial and temporal precision, we simultaneously measured fMRI, EEG, and pupillometry in healthy adults while they performed a sustained attention task with experience sampling probes. Features of interest were extracted from each modality at the single-trial level and fed to a support vector machine that was trained on the probe responses. Compared to task-focused attention, the neural signature of TUTs was characterized by weaker activity in the default mode network but elevated activity in its anticorrelated network, stronger functional coupling between these networks, widespread increase in alpha, theta, delta, but not beta, frequency power, predominantly reduced amplitudes of late, but not early, event-related potentials, and larger baseline pupil size. Particularly, information contained in dynamic interactions between large-scale cortical networks was predictive of transient changes in attentional focus above other modalities. Together, our results provide insight into the spatiotemporal dynamics of TUTs and the neural markers that may facilitate their detection.http://www.sciencedirect.com/science/article/pii/S1053811920308971Mind wanderingDefault mode networkSimultaneous fMRI-EEGDynamic functional connectivityPupillometrySupport vector machine
spellingShingle Josephine M Groot
Nya M Boayue
Gábor Csifcsák
Wouter Boekel
René Huster
Birte U Forstmann
Matthias Mittner
Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
NeuroImage
Mind wandering
Default mode network
Simultaneous fMRI-EEG
Dynamic functional connectivity
Pupillometry
Support vector machine
title Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
title_full Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
title_fullStr Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
title_full_unstemmed Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
title_short Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry
title_sort probing the neural signature of mind wandering with simultaneous fmri eeg and pupillometry
topic Mind wandering
Default mode network
Simultaneous fMRI-EEG
Dynamic functional connectivity
Pupillometry
Support vector machine
url http://www.sciencedirect.com/science/article/pii/S1053811920308971
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