10.17605/OSF.IO/5AW8V
Hamid Karimi-Rouzbahani
Hamid
Karimi-Rouzbahani
https://osf.io/upksy/
Alexandra Woolgar
Alexandra
Woolgar
https://osf.io/abkne/
Anina N. Rich
Anina
Rich
https://osf.io/5xe4p/
0000-0002-5702-6450
Macquarie University
Macquarie University
Neural signatures of vigilance decrements predict behavioural errors before they occur
Open Science Framework
2022
Open Science Framework
https://ror.org/05d5mza29/
https://grid.ac/institutes/grid.466501.0/
2020-04-30
2021-04-06
2022-08-30
Project
CC-By Attribution 4.0 International
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.