ArticleNeuroImage2012
An MEG signature corresponding to an axiomatic model of reward prediction error.
Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 45 citations in OpenAlex.
- Non-invasive stimulation reveals ventromedial prefrontal cortex function in reward prediction and reward processing.Frontiers in neuroscience · 2023Article
- The effects of trauma on feedback processing: an MEG study.Frontiers in neuroscience · 2023Article
- Magnetoencephalographic correlates of mood and reward dynamics in human adolescents.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Cooperative update of beliefs and state-transition functions in human reinforcement learning.Scientific reports · 2019Article
- Feedback-Related Negativity and Frontal Midline Theta Reflect Dissociable Processing of Reinforcement.Frontiers in human neuroscience · 2019Article
- Article
- Local context influences memory for emotional stimuli but not electrophysiological markers of emotion-dependent attention.Psychophysiology · 2018Article
- Correlation of cue-locked FRN and feedback-locked FRN in the auditory monetary incentive delay task.Experimental brain research · 2018Article
- Electrophysiological correlates reflect the integration of model-based and model-free decision information.Cognitive, affective & behavioral neuroscience · 2017Article
- MEG Signatures of a Perceived Match or Mismatch between Individual and Group Opinions.Frontiers in neuroscience · 2017Article
- Does the processing of sensory and reward-prediction errors involve common neural resources? Evidence from a frontocentral negative potential modulated by movement execution errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Neural evidence for description dependent reward processing in the framing effect.Frontiers in neuroscience · 2014Article
- The feedback-related negativity signals salience prediction errors, not reward prediction errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Neural dynamics of reward probability coding: a Magnetoencephalographic study in humans.Frontiers in neuroscience · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Optimal decision-making is guided by evaluating the outcomes of previous decisions. Prediction errors are theoretical teaching signals which integrate two features of an outcome: its inherent value and prior expectation of its occurrence. To uncover the magnetic signature of prediction errors in the human brain we acquired magnetoencephalographic (MEG) data while participants performed a gambling task. Our primary objective was to use formal criteria, based upon an axiomatic model (Caplin and Dean, 2008a), to determine the presence and timing profile of MEG signals that express prediction errors. We report analyses at the sensor level, implemented in SPM8, time locked to outcome onset. We identified, for the first time, a MEG signature of prediction error, which emerged approximately 320 ms after an outcome and expressed as an interaction between outcome valence and probability. This signal followed earlier, separate signals for outcome valence and probability, which emerged approximately 200 ms after an outcome. Strikingly, the time course of the prediction error signal, as well as the early valence signal, resembled the Feedback-Related Negativity (FRN). In simultaneously acquired EEG data we obtained a robust FRN, but the win and loss signals that comprised this difference wave did not comply with the axiomatic model. Our findings motivate an explicit examination of the critical issue of timing embodied in computational models of prediction errors as seen in human electrophysiological data.
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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.