Evidence map›Paper›PMID 39013585›Full record

ArticleeNeuro2024

Recording Neural Reward Signals in a Naturalistic Operant Task Using Mobile-EEG and Augmented Reality.

Jaleesa S Stringfellow, Omer Liran, Mei-Heng Lin, Travis E Baker

Abstract read
In one paragraph

Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jaleesa S StringfellowCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102.ORCID https://orcid.org/0000-0002-0185-8370
Omer LiranDepartment of Psychiatry & Behavioral Neurosciences, Cedars-Sinai Virtual Medicine, Los Angeles, California 90048.
Mei-Heng LinCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102.
Travis E BakerCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102 travis.e.baker@rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrophysiological response to rewards recorded during laboratory tasks has been well documented, yet little is known about the neural response patterns in a more naturalistic setting. Here, we combined a mobile-EEG system with an augmented reality headset to record event-related brain potentials (ERPs) while participants engaged in a naturalistic operant task to find rewards. Twenty-five participants were asked to navigate toward a west or east goal location marked by floating orbs, and once participants reached the goal location, the orb would then signify a reward (5 cents) or no-reward (0 cents) outcome. Following the outcome, participants returned to a start location marked by floating purple rings, and once standing in the middle, a 3 s counter signaled the next trial, for a total of 200 trials. Consistent with previous research, reward feedback evoked the reward positivity, an ERP component believed to index the sensitivity of the anterior cingulate cortex to reward prediction error signals. The reward positivity peaked ∼230 ms with a maximal at channel FCz (M = -0.695 μV, ±0.23) and was significantly different than zero (

Indexed as

Augmented RealityElectroencephalographyEvoked PotentialsRewardAdultBrainConditioning, OperantFemaleHumansMaleYoung Adultanterior cingulate cortexaugmented realityEEGreal-world neurosciencereinforcement learningreward

Identifiers

PMID39013585
PMCPMC11315430

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.