Computational EEG modelling of decision making under ambiguity reveals spatio-temporal dynamics of outcome evaluation

•Complex human cognition is reflected in dynamic spatio-temporal activity.•We combined event-related potentials with computational modelling.•A general linear model created a three-dimensional map of neural dynamics. Complex human cognition, such as decision-making under ambiguity, is reflected in d...

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Bibliographic Details
Published in:Behavioural brain research 2017-03, Vol.321, p.28-35
Main Authors: Jollans, Lee, Whelan, Robert, Venables, Louise, Turnbull, Oliver H., Cella, Matteo, Dymond, Simon
Format: Article
Language:English
Subjects:
Adult
Analysis of Variance
Brain - physiology
Computational models
Computer Simulation
Decision making
Decision Making - physiology
EEG
Electroencephalography
Evoked Potentials
Female
Gambling - physiopathology
Humans
Iowa gambling task
Linear Models
Male
Models, Neurological
Neuropsychological Tests
Probability
Time Factors
Young Adult
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Summary:•Complex human cognition is reflected in dynamic spatio-temporal activity.•We combined event-related potentials with computational modelling.•A general linear model created a three-dimensional map of neural dynamics. Complex human cognition, such as decision-making under ambiguity, is reflected in dynamic spatio-temporal activity in the brain. Here, we combined event-related potentials with computational modelling of the time course of decision-making and outcome evaluation during the Iowa Gambling Task. Measures of choice probability generated using the Prospect Valence Learning Delta (PVL-Delta) model, in addition to objective trial outcomes (outcome magnitude and valence), were applied as regressors in a general linear model of the EEG signal. The resulting three-dimensional spatio-temporal characterization of task-related neural dynamics demonstrated that outcome valence, outcome magnitude, and PVL-Delta choice probability were expressed in distinctly separate event related potentials. Our findings showed that the P3 component was associated with an experience-based measure of outcome expectancy.
ISSN:0166-4328
1872-7549
DOI:10.1016/j.bbr.2016.12.033