Abstract

Intolerance of uncertainty (IU) can influence emotional predictions, constructed by the brain (generation stage) to prearrange action (implementation stage), and update internal models according to incoming stimuli (updating stage). However, neurocomputational mechanisms by which IU affects emotional predictions are unclear. This high-density EEG study investigated if IU predicted event-related potentials (ERPs) and brain sources activity developing along the stages of emotional predictions, as a function of contextual uncertainty. Thirty-six undergraduates underwent a S1-S2 paradigm, with emotional faces and pictures as S1s and S2s, respectively. Contextual uncertainty was manipulated across three blocks, each with 100%, 75%, or 50% S1-S2 emotional congruency. ERPs, brain sources and their relationship with IU scores were analyzed for each stage. IU did not affect prediction generation. During prediction implementation, higher IU predicted larger Contingent Negative Variation in the 75% block, and lower left anterior cingulate cortex and supplementary motor area activations. During prediction updating, as IU increased P2 to positive S2s decreased, along with P2 and Late Positive Potential in the 75% block, and right orbito-frontal cortex activity to emotional S2s. IU was therefore associated with altered uncertainty assessment and heightened attention deployment during implementation, and to uncertainty avoidance, reduced attention to safety cues and disrupted access to emotion regulation strategies during prediction updating.

Highlights

  • The world is an uncertain place, and the uncertainty we experience in everyday life can have a dramatic influence on our emotional life

  • It has been proposed that biases in the anticipation of emotional stimuli characterizing high-Intolerance of uncertainty (IU) individuals could result from a disrupted prediction error signaling, which in turn results in a failure to update emotional predictions [6]. For these reasons and given the significance of IU as a trans-diagnostic risk factor, a better understanding of how individual differences in IU affect the neural correlates of emotional predictions as a function of contextual uncertainty could represent a valuable contribution to advancing knowledge in the field, leading to promising clinical and preventive implications

  • A significant negative occipital cluster, reflecting a larger N170, was found in 100% block when comparing emotional with neutral faces (POS vs. NEU p = .024, cluster statistic (c) = -476, cluster size (s) = 153; NEG vs. NEU p = .004, c = -871, s = 246), in 75% block when comparing fearful with positive and neutral faces (NEG vs. NEU p = .002, c = -1080, s = 306; NEG vs. POS p = .018, c = -455, s = 178), and in 50% block when comparing positive with neutral faces (POS vs. NEU p = .03, c = -413, s = 164) (Fig 1, panel A)

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Summary

Introduction

The world is an uncertain place, and the uncertainty we experience in everyday life can have a dramatic influence on our emotional life. The COVID-19 pandemic outbreak, and the associated risk of contracting the virus, carried a huge amount of uncertainty, substantially impacting over the emotional experience and mental health of people worldwide. Not knowing how the plot is going to develop while watching a new TV series usually increases the rewarding value of the series itself. From both examples, it is clear how dealing with uncertainty can intensify affective experience.

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