<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Heffner J</submitter><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>1391-1401</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8544818</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>5(10)</volume><pubmed_abstract>People make decisions based on deviations from expected outcomes, known as prediction errors. Past work has focused on reward prediction errors, largely ignoring violations of expected emotional experiences-emotion prediction errors. We leverage a method to measure real-time fluctuations in emotion as people decide to punish or forgive others. Across four studies (N = 1,016), we reveal that emotion and reward prediction errors have distinguishable contributions to choice, such that emotion prediction errors exert the strongest impact during decision-making. We additionally find that a choice to punish or forgive can be decoded in less than a second from an evolving emotional response, suggesting that emotions swiftly influence choice. Finally, individuals reporting significant levels of de</pubmed_abstract><journal>Nature human behaviour</journal><pubmed_title>Emotion prediction errors guide socially adaptive behaviour.</pubmed_title><pmcid>PMC8544818</pmcid><funding_grant_id>P20 GM103645</funding_grant_id><funding_grant_id>P20GM103645</funding_grant_id><pubmed_authors>Heffner J</pubmed_authors><pubmed_authors>FeldmanHall O</pubmed_authors><pubmed_authors>Son JY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Emotion prediction errors guide socially adaptive behaviour.</name><description>People make decisions based on deviations from expected outcomes, known as prediction errors. Past work has focused on reward prediction errors, largely ignoring violations of expected emotional experiences-emotion prediction errors. We leverage a method to measure real-time fluctuations in emotion as people decide to punish or forgive others. Across four studies (N = 1,016), we reveal that emotion and reward prediction errors have distinguishable contributions to choice, such that emotion prediction errors exert the strongest impact during decision-making. We additionally find that a choice to punish or forgive can be decoded in less than a second from an evolving emotional response, suggesting that emotions swiftly influence choice. Finally, individuals reporting significant levels of de</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-05-29T20:02:38.856Z</modification><creation>2025-04-06T16:23:46.908Z</creation></dates><accession>S-EPMC8544818</accession><cross_references><pubmed>34667302</pubmed><doi>10.1038/s41562-021-01213-6</doi></cross_references></HashMap>