ArticleCognitive, affective & behavioral neuroscience2018
Smiling faces and cash bonuses: Exploring common affective coding across positive and negative emotional and motivational stimuli using fMRI.
Article in Cognitive, affective & behavioral neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Exploring distinct and joint contributions of the locus coeruleus and the substantia nigra/ventral tegmental area complex to reward and valence processing using high-resolution fMRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The relationship between self, value-based reward, and emotion prioritisation effects.Quarterly journal of experimental psychology (2006) · 2023Article
- Automatic and controlled attentional orienting toward emotional faces in patients with Parkinson's disease.Cognitive, affective & behavioral neuroscience · 2023Article
- Neural heterogeneity underlying late adolescent motivational processing is linked to individual differences in behavioral sensation seeking.Journal of neuroscience research · 2022Article
- Neural Connectivity Underlying Reward and Emotion-Related Processing: Evidence From a Large-Scale Network Analysis.Frontiers in systems neuroscience · 2022Article
- Arousal-driven interactions between reward motivation and categorization of emotional facial expressions.Frontiers in psychology · 2022Article
- Effect of non-instructed instrumental contingency of monetary reward and positive affect in a cognitive control task.Royal Society open science · 2021Article
- Examining the effect of perceived performance-contingent gains, losses and errors on arithmetic.PloS one · 2021Article
- Dissociable Effects of Monetary, Liquid, and Social Incentives on Motivation and Cognitive Control.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although it is clear that emotional and motivational manipulations yield a strong influence on cognition and behaviour, these domains have mostly been investigated in independent research lines. Therefore, it remains poorly understood how far these affective manipulations overlap in terms of their underlying neural activations, especially in light of previous findings that suggest a shared valence mechanism across multiple affective processing domains (e.g., monetary incentives, primary rewards, emotional events). This is particularly interesting considering the commonality between emotional and motivational constructs in terms of their basic affective nature (positive vs. negative), but dissociations in terms of instrumentality, in that only reward-related stimuli are typically associated with performance-contingent outcomes. Here, we aimed to examine potential common neural processes triggered by emotional and motivational stimuli in matched tasks within participants using functional magnetic resonance imaging (fMRI). Across tasks, we found shared valence effects in the ventromedial prefrontal cortex and left inferior frontal gyrus (part of dorsolateral prefrontal cortex), with increased activity for positive and negative stimuli, respectively. Despite this commonality, emotion and reward tasks featured differential behavioural patterns in that negative valence effects (performance costs) were exclusive to emotional stimuli, while positive valence effects (performance benefits) were only observed for reward-related stimuli. Overall, our data suggest a common affective coding mechanism across different task domains and support the idea that monetary incentives entail signed basic valence signals, above and beyond the instruction to perform both gain and loss trials as accurately as possible to maximise the outcome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.