A computational and neural model of momentary subjective well-being
Open accessAbstract
The subjective well-being or happiness of individuals is an important metric for societies. Although happiness is influenced by life circumstances and population demographics such as wealth, we know little about how the cumulative influence of daily life events are aggregated into subjective feelings. Using computational modeling, we show that emotional reactivity in the form of momentary happiness in response to outcomes of a probabilistic reward task is explained not by current task earnings, but by the combined influence of recent reward expectations and prediction errors arising from those expectations. The robustness of this account was evident in a large-scale replication involving 18,420 participants. Using functional MRI, we show that the very same influences account for task-dependent striatal activity in a manner akin to the influences underpinning changes in happiness.
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The single-item measure of momentary affective well-being has high convergent validity, as evidenced by strong correlations with positive and negative affect.
“Adolescents’ momentary affective well-being was defined as their current feelings of happiness, a commonly used question to measure well-being21, 22, which has high convergent validity, as evidenced by the strong correlations with the presence of positive affect and absence of negative affect.”
From The effect of social media on well-being differs from adolescent to adolescent (2020) · cites this paper as [21]
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Momentary subjective well-being depends on learning and not reward
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Programming of Stress-Sensitive Neurons and Circuits by Early-Life Experiences
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Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation
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A highly replicable decline in mood during rest and simple tasks
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- Authors
- Rutledge, R. B., Skandali, N., Dayan, P., & Dolan, R. J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Gatsby Computational Neuroscience Unit (GB)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-08-04
- Volume
- 111
- Issue
- 33
- Pages
- 12252-12257
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4143018
- OpenAlex
- W1994312033
- Cited by
- 444
- References
- 57
- Citations by year
- 2026: 36 · 2025: 43 · 2024: 46 · 2023: 54 · 2022: 51 · 2021: 45 · 2020: 32 · 2019: 37 · 2018: 25 · 2017: 18 · 2016: 32 · 2015: 20 · 2014: 3
- FWCI
- 36.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Wellcome Trust (091593, 078865/Z/05/Z, 095844/Z/11/Z, 098362, 098362/Z/12/Z, 091593/Z/10/Z, 095844, 101252/Z/13/Z)
- Topics
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- subjective well-being, emotional reactivity, reward anticipation, prediction error, probabilistic reward task, daily life events, replication
- MeSH terms
- Adult, Emotions, Female, Humans, Magnetic Resonance Imaging, Male, Models, Psychological, Neurons, Probability, Reward, Computational Biology, Young Adult
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