Evidence map›Paper›PMID 27059320›Full record

ArticlePhysiology & behavior2016

The temporal dynamics of reversal learning: P3 amplitude predicts valence-specific behavioral adjustment.

Kayla R Donaldson, Belel Ait Oumeziane, Sebastien Hélie, Dan Foti

Abstract read
In one paragraph

Article in Physiology & behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. How Outcome Framing and Feedback Influence Decision Patterns over Time.Behavioral sciences (Basel, Switzerland) · 2026
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  11. The influence of internal models on feedback-related brain activity.Cognitive, affective & behavioral neuroscience · 2020
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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

4 authors.

Kayla R DonaldsonDepartment of Psychological Sciences, Purdue University, United States.
Belel Ait OumezianeDepartment of Psychological Sciences, Purdue University, United States. Electronic address: baitoume@purdue.edu.
Sebastien HélieDepartment of Psychological Sciences, Purdue University, United States.
Dan FotiDepartment of Psychological Sciences, Purdue University, United States.

Funding

The Cognitive Neuroscience of Human Category LearningR01MH063760 · NIMH · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ASHBY, F. GREGORY, HELIE, SEBASTIEN · 2002 to 2018
$3.6M
NIMH NIH HHS R01 MH063760
6 · The paper itself

Abstract

Adapting behavior to dynamic stimulus-reward contingences is a core feature of reversal learning and a capacity thought to be critical to socio-emotional behavior. Impairment in reversal learning has been linked to multiple psychiatric outcomes, including depression, Parkinson's disorder, and substance abuse. A recent influential study introduced an innovative laboratory reversal-learning paradigm capable of disentangling the roles of feedback valence and expectancy. Here, we sought to use this paradigm in order to examine the time-course of reward and punishment learning using event-related potentials among a large, representative sample (N=101). Three distinct phases of processing were examined: initial feedback evaluation (reward positivity, or RewP), allocation of attention (P3), and sustained processing (late positive potential, or LPP). Results indicate a differential pattern of valence and expectancy across these processing stages: the RewP was uniquely related to valence (i.e., positive vs. negative feedback), the P3 was uniquely associated with expectancy (i.e., unexpected vs. expected feedback), and the LPP was sensitive to both valence and expectancy (i.e., main effects of each, but no interaction). The link between ERP amplitudes and behavioral performance was strongest for the P3, and this association was valence-specific. Overall, these findings highlight the potential utility of the P3 as a neural marker for feedback processing in reversal-based learning and establish a foundation for future research in clinical populations.

Indexed as

Adaptation, PsychologicalAdolescentAdultBrain MappingElectroencephalographyEvoked PotentialsFeedbackFemaleHumansMaleNonlinear DynamicsPhotic StimulationPunishmentReversal LearningRewardYoung AdultERPFlexibilityPunishmentReversal-learningReward

Identifiers

PMID27059320
PMCPMC5426362

What OpenQuestion holds

Textmetadata
LicenceTDM
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.