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Functional Connectivity Within the Fronto-Parietal Network Predicts Complex Task Performance: A fNIRS Study.

Authors :
Chenot Q
Lepron E
De Boissezon X
Scannella S
Source :
Frontiers in neuroergonomics [Front Neuroergon] 2021 Aug 10; Vol. 2, pp. 718176. Date of Electronic Publication: 2021 Aug 10 (Print Publication: 2021).
Publication Year :
2021

Abstract

Performance in complex tasks is essential for many high risk operators. The achievement of such tasks is supported by high-level cognitive functions arguably involving functional activity and connectivity in a large ensemble of brain areas that form the fronto-parietal network. Here we aimed at determining whether the functional connectivity at rest within this network could predict performance in a complex task: the Space Fortress video game. Functional Near Infrared Spectroscopy (fNIRS) data from 32 participants were recorded during a Resting-State period, the completion of a simple version of Space Fortress (monotask) and the original version (multitask). The intrinsic functional connectivity within the fronto-parietal network (i.e., during the Resting-State) was a significant predictor of performance at Space Fortress multitask but not at its monotask version. The same pattern was observed for the functional connectivity during the task. Our overall results suggest that Resting-State functional connectivity within the fronto-parietal network could be used as an intrinsic brain marker for performance prediction of a complex task achievement, but not for simple task performance.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Chenot, Lepron, De Boissezon and Scannella.)

Details

Language :
English
ISSN :
2673-6195
Volume :
2
Database :
MEDLINE
Journal :
Frontiers in neuroergonomics
Publication Type :
Academic Journal
Accession number :
38235214
Full Text :
https://doi.org/10.3389/fnrgo.2021.718176