Evidence map›Paper›PMID 31998100›Full record

ArticleFrontiers in human neuroscience2019

Feedback-Related Negativity and Frontal Midline Theta Reflect Dissociable Processing of Reinforcement.

Eric Rawls, Vladimir Miskovic, Shannin N Moody, Yoojin Lee, Elizabeth A Shirtcliff, Connie Lamm

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Eric RawlsDepartment of Psychological Sciences, University of Arkansas, Fayetteville, AR, United States.
Vladimir MiskovicDepartment of Psychology, Binghamton University, State University of New York, Binghamton, NY, United States.
Shannin N MoodyDepartment of Human Development and Family Studies, Iowa State University, Ames, IA, United States.
Yoojin LeeDepartment of Human Development and Family Studies, Iowa State University, Ames, IA, United States.
Elizabeth A ShirtcliffDepartment of Human Development and Family Studies, Iowa State University, Ames, IA, United States.
Connie LammDepartment of Psychological Sciences, University of Arkansas, Fayetteville, AR, United States.
Iowa State University · USUniversity of Arkansas at Fayetteville · USBinghamton University · US

Funding

Using Computation to Achieve Breakthroughs in NeuroscienceT32MH115886 · NIMH · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2018 to 2022
$1.7M
Stress Biology and Psychosocial stressors as mechanisms for Racial Health Disparities in Neural and Clinical Impairments of Multiple SclerosisK00NS125815 · NINDS · LSU HEALTH SCIENCES CENTER · PI MOODY, SHANNIN NICOLE · 2023 to 2025
$217k
Stress Biology and Psychosocial stressors as mechanisms for Racial Health Disparities in Neural and Clinical Impairments of Multiple SclerosisF99NS125815 · NINDS · LSU HEALTH SCIENCES CENTER · PI MOODY, SHANNIN NICOLE · 2022 to 2022
$48k
NIMH NIH HHS T32 MH115886NINDS NIH HHS F99 NS125815NINDS NIH HHS K00 NS125815
6 · The paper itself

Abstract

Prediction errors (PEs) encode representations of rewarding and aversive experiences and are critical to reinforcement processing. The feedback-related negativity (FRN), a component of the event-related potential (ERP) that is sensitive to valenced feedback, is believed to reflect PE signals. Reinforcement is also studied using frontal midline theta (FMΘ) activity, which peaks around the same time as the FRN and increases in response to unexpected events compared to expected events. We recorded EEG while participants completed a monetary incentive delay (MID) task that included positive reinforcement and negative reinforcement conditions with multiple levels of the outcome, as well as control conditions that had no reinforcement value. Despite the overlap of FRN and FMΘ, these measures indexed dissociable cognitive processing. The FRN was sensitive to errors in both positive and negative reinforcement but not in control conditions, while frontal theta instead was sensitive to outcomes in positive reinforcement and control conditions, but not in negative reinforcement conditions. The FRN was sensitive to the point level of feedback in both positive and negative reinforcement, while FMΘ was not influenced by the feedback point level. Results are consistent with recent results indicating that the FRN is influenced by unsigned PEs (i.e., a salience signal). In contrast, we suggest that our findings for frontal theta are consistent with hypotheses suggesting that the neural generators of FMΘ are sensitive to both negative cues and the need for control.

Indexed as

feedback-related negativityFRNfrontal midline thetaprediction errorreinforcementsalience

Identifiers

PMID31998100
PMCPMC6962175
OpenAlexW3000080660

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.