Evidence map›Paper›PMID 33679345›Full record

ArticleFrontiers in human neuroscience2021

The Neural Correlates of Cued Reward Omission.

Jessica A Mollick, Luke J Chang, Anjali Krishnan, Thomas E Hazy, Kai A Krueger, Guido K W Frank, Tor D Wager, Randall C O'Reilly

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. A Mouse-Tracking Paradigm for Value-Driven Attentional Capture.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Habenula-ventral tegmental area functional coupling and risk aversion in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Cortico-Striatal Activity Characterizes Human Safety Learning via Pavlovian Conditioned Inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  7. Pharmacogenetics of Addiction Therapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Jessica A MollickDepartment of Psychiatry, Yale University, New Haven, CT, United States.
Luke J ChangDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.
Anjali KrishnanDepartment of Psychology, Brooklyn College, City University of New York, Brooklyn, NY, United States.
Thomas E HazyeCortex, Inc, Boulder, CO, United States.
Kai A KruegereCortex, Inc, Boulder, CO, United States.
Guido K W FrankUCSD Eating Disorder Center for Treatment and Research, University of California, San Diego, San Diego, CA, United States.
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.
Randall C O'ReillyDepartment of Psychology and Computer Science Center for Neuroscience, University of California, Davis, Davis, CA, United States.
Dartmouth College · USBrooklyn College · USUniversity of California, Davis · USUniversity of California, San Diego · USYale University · US

Funding

Proj 5: Early Development (224-250)P50MH079485 · NIMH · UNIVERSITY OF COLORADO · PI O'REILLY, RANDALL CHARLES · 2008 to 2012
$8.7M
A Neurobiologically-based Neural Network Model of Risky Decision-makingR01GM109996 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILLER, LYNN C, READ, STEPHEN J · 2015 to 2018
$1.8M
NIGMS NIH HHS R01 GM109996NIMH NIH HHS P50 MH079485
6 · The paper itself

Abstract

Compared to our understanding of positive prediction error signals occurring due to unexpected reward outcomes, less is known about the neural circuitry in humans that drives negative prediction errors during omission of expected rewards. While classical learning theories such as Rescorla-Wagner or temporal difference learning suggest that both types of prediction errors result from a simple subtraction, there has been recent evidence suggesting that different brain regions provide input to dopamine neurons which contributes to specific components of this prediction error computation. Here, we focus on the brain regions responding to negative prediction error signals, which has been well-established in animal studies to involve a distinct pathway through the lateral habenula. We examine the activity of this pathway in humans, using a conditioned inhibition paradigm with high-resolution functional MRI. First, participants learned to associate a sensory stimulus with reward delivery. Then, reward delivery was omitted whenever this stimulus was presented simultaneously with a different sensory stimulus, the conditioned inhibitor (CI). Both reward presentation and the reward-predictive cue activated midbrain dopamine regions, insula and orbitofrontal cortex. While we found significant activity at an uncorrected threshold for the CI in the habenula, consistent with our predictions, it did not survive correction for multiple comparisons and awaits further replication. Additionally, the pallidum and putamen regions of the basal ganglia showed modulations of activity for the inhibitor that did not survive the corrected threshold.

Indexed as

conditioned inhibitionfMRIhabenulalearningnegativeprediction errorreward

Identifiers

PMID33679345
PMCPMC7928384
OpenAlexW3132177465

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.