Neural signatures of vigilance decrements predict behavioural errors before they occur

Hamid Karimi-Rouzbahani*, Alexandra Woolgar, Anina N. Rich

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
10 Downloads (Pure)

Abstract

There are many monitoring environments, such as railway control, in which lapses of attention can have tragic consequences. Problematically, sustained monitoring for rare targets is difficult, with more misses and longer reaction times over time. What changes in the brain underpin these ‘vigilance decrements’? We designed a multiple-object monitoring (MOM) paradigm to examine how the neural representation of information varied with target frequency and time performing the task. Behavioural performance decreased over time for the rare target (monitoring) condition, but not for a frequent target (active) condition. This was mirrored in neural decoding using magnetoencephalography: coding of critical information declined more during monitoring versus active conditions along the experiment. We developed new analyses that can predict behavioural errors from the neural data more than a second before they occurred. This facilitates pre-empting behavioural errors due to lapses in attention and provides new insight into the neural correlates of vigilance decrements.

Original languageEnglish
Article numbere60563
Pages (from-to)1-27
Number of pages27
JournaleLife
Volume10
DOIs
Publication statusPublished - 8 Apr 2021

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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