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Publication - Dr Conor Houghton

    Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats

    Modelling Decision Making during Negative Affect

    Citation

    Hales, CA, Robinson, ESJ & Houghton, CJ, 2016, ‘Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats: Modelling Decision Making during Negative Affect’. PLoS ONE, vol 11.

    Abstract

    Human decision making is modified by emotional state. Rodents exhibit similar biases during interpretation of ambiguous cues that can be altered by affective state manipulations. In this study, the impact of negative affective state on judgement bias in rats was measured using an ambiguous-cue interpretation task. Acute treatment with an anxiogenic drug (FG7142), and chronic restraint stress and social isolation both induced a bias towards more negative interpretation of the ambiguous cue. The diffusion model was fit to behavioural data to allow further analysis of the underlying decision making processes. To uncover the way in which parameters vary together in relation to affective state manipulations, independent component analysis was conducted on rate of information accumulation and distances to decision threshold parameters for control data. Results from this analysis were applied to parameters from negative affective state manipulations. These projected components were compared to control components to reveal the changes in decision making processes that are due to affective state manipulations. Negative affective bias in rodents induced by either FG7142 or chronic stress is due to a combination of more negative interpretation of the ambiguous cue, reduced anticipation of the high reward and increased anticipation of the low reward.

    Full details in the University publications repository