title: Computational EEG modelling of decision making under ambiguity reveals spatio-temporal dynamics of outcome evaluation.
abstract: 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.
authors.affiliation: School of Psychology, Trinity College Dublin, Dublin 2, Ireland.
authors.forename: Lee
authors.initials: L
authors.lastname: Jollans
authors.affiliation: School of Psychology, Trinity College Dublin, Dublin 2, Ireland.
authors.forename: Robert
authors.initials: R
authors.lastname: Whelan
authors.affiliation: Department of Psychology, Swansea University, Singleton Campus, Swansea SA2 8PP, United Kingdom.
authors.forename: Louise
authors.initials: L
authors.lastname: Venables
authors.affiliation: School of Psychology, Bangor University, Bangor, Gwynedd LL57 2DG, United Kingdom.
authors.forename: Oliver H
authors.initials: OH
authors.lastname: Turnbull
authors.affiliation: Department of Psychology, Swansea University, Singleton Campus, Swansea SA2 8PP, United Kingdom; Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF London, United Kingdom.
authors.forename: Matteo
authors.initials: M
authors.lastname: Cella
authors.affiliation: Department of Psychology, Swansea University, Singleton Campus, Swansea SA2 8PP, United Kingdom; Department of Psychology, Reykjavík University, Menntavegur 1, Nauthólsvík, 101 Reykjavík, Iceland. Electronic address: s.o.dymond@swansea.ac.uk.
authors.forename: Simon
authors.initials: S
authors.lastname: Dymond
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D003657:Decision Making / Q000502:physiology*; D004569:Electroencephalography; D005071:Evoked Potentials; D005260:Female; D005715:Gambling / Q000503:physiopathology; D006801:Humans; D016014:Linear Models; D008297:Male; D008959:Models, Neurological; D009483:Neuropsychological Tests; D011336:Probability; D013997:Time Factors; D055815:Young Adult
keywords: Computational models; Decision making; EEG; Iowa gambling task