Reward-driven modulation of spatial attention in the human frontal eye-field

From learned value to sustained bias: how reward conditioning changes attentional priority

Introduction

Attentional bias to reward-associated stimuli can occur even when it interferes with goal-driven behavior. One theory posits that dopaminergic signaling in the striatum during reward conditioning leads to changes in visual cortical and parietal representations of the stimulus used, and this, in turn, sustains attentional bias even when reward is discontinued. However, only a few studies have examined neural activity during both rewarded and unrewarded task phases.

Methods

In the current study, participants first completed a reward-conditioning phase, during which responses to certain stimuli were associated with monetary reward. These stimuli were then included as non-predictive cues in a spatial cueing task. Participants underwent functional brain imaging during both task phases.

Results

The results show that striatal activity during the learning phase predicted increased visual cortical and parietal activity and decreased ventro-medial prefrontal cortex activity in response to conditioned stimuli during the test. Striatal activity was also associated with anterior cingulate cortex activation when the reward-conditioned stimulus directed attention away from the target.

Discussion

Our findings suggest that striatal activity during reward conditioning predicts the degree to which reward history biases attention through learning-induced changes in visual and parietal activities.

Motivated cognitive control during cued anticipation and receipt of unfamiliar musical themes: An fMRI study

Principal themes, particularly choruses in pop songs, hold a central place in human music. Singing along with a familiar chorus tends to elicit pleasure and a sense of belonging, especially in group settings. These principal themes, which frequently serve as musical rewards, are commonly preceded by distinctive musical cues. Such cues guide listeners' attention and amplify their motivation to receive the impending themes. Despite the significance of cue-theme sequences in music, the neural mechanisms underlying the processing of these sequences in unfamiliar songs remain underexplored. To fill this research gap, we employed fMRI to examine neural activity during the cued anticipation of unfamiliar musical themes and the subsequent receipt of their opening phrase. Twenty-three Taiwanese participants underwent fMRI scans while listening to excerpts of Korean slow pop songs unfamiliar to them, with lyrics they could not understand. Our findings revealed distinct temporal dynamics in lateral frontal activity, with posterior regions being more active during theme anticipation and anterior regions during theme receipt. During anticipation, participants reported substantial increases in arousal levels, aligning with the observed enhanced activity in the midbrain, ventral striatum, inferior frontal junction, and premotor regions. We posit that when motivational musical cues are detected, the ventral striatum and inferior frontal junction played a role in attention allocation, while premotor regions may be engaged in monitoring the theme's entry. Notably, both the anticipation and receipt of themes were associated with pronounced activity in the frontal eye field, dorsolateral prefrontal cortex, posterior parietal cortex, dorsal caudate, and salience network. Overall, our results highlight that within a naturalistic music-listening context, the dynamic interplay between the frontoparietal, dopaminergic midbrain-striatal, and salience networks could allow for precise adjustments of control demands based on the cue-theme structure in unfamiliar songs.

Neural correlates of value-driven spatial orienting

Reward learning has been shown to habitually guide overt spatial attention to specific regions of a scene. However, the neural mechanisms that support this bias are unknown. In the present study, participants learned to orient themselves to a particular quadrant of a scene (a high-value quadrant) to maximize monetary gains. This learning was scene-specific, with the high-value quadrant varying across different scenes. During a subsequent test phase, participants were faster at identifying a target if it appeared in the high-value quadrant (valid), and initial saccades were more likely to be made to the high-value quadrant. fMRI analyses during the test phase revealed learning-dependent priority signals in the caudate tail, superior colliculus, frontal eye field, anterior cingulate cortex, and insula, paralleling findings concerning feature-based, value-driven attention. In addition, ventral regions typically associated with scene selection and spatial information processing, including the hippocampus, parahippocampal gyrus, and temporo-occipital cortex, were also implicated. Taken together, our findings offer new insights into the neural architecture subserving value-driven attention, both extending our understanding of nodes in the attention network previously implicated in feature-based, value-driven attention and identifying a ventral network of brain regions implicated in reward's influence on scene-dependent spatial orienting.