Evidence map›Paper›PMID 38050634›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2023

Striatal response to negative feedback in a stop signal task operates as a multi-value learning signal.

Benjamin J Smith, Megan Lipsett, Danielle Cosme, Victoria A Braun, Anastasia M Browning O'Hagan, Elliot T Berkman

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Benjamin J SmithCenter for Translational Neuroscience, University of Oregon, Eugene, OR, United States.
Megan LipsettCenter for Translational Neuroscience, University of Oregon, Eugene, OR, United States.
Danielle CosmeAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, United States.
Victoria A BraunCenter for Translational Neuroscience, University of Oregon, Eugene, OR, United States.
Anastasia M Browning O'HaganCenter for Translational Neuroscience, University of Oregon, Eugene, OR, United States.
Elliot T BerkmanCenter for Translational Neuroscience, University of Oregon, Eugene, OR, United States.

Funding

Supplement to Prevention Research Center: Parenting Among Women Who Are Opioid Users, Project 2P50DA048756 · NIDA · UNIVERSITY OF OREGON · PI MACKIEWICZ SEGHETE, KRISTEN L · 2019 to 2023
$18.0M
Construal level as a novel pathway for affect regulation and cancer controlR01CA240452 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2020 to 2024
$3.4M
Devaluing Energy-Dense Foods for Cancer Control: Translational NeuroscienceR01CA211224 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2017 to 2021
$3.2M
Cancer Prevention through Dietary Change: Training in translational neuroimagingF31CA232357 · NCI · UNIVERSITY OF OREGON · PI COSME, DANIELLE · 2019 to 2019
$40k
NCI NIH HHS F31 CA232357NCI NIH HHS R01 CA211224NCI NIH HHS R01 CA240452NIDA NIH HHS P50 DA048756
6 · The paper itself

Abstract

Background and aim: We examined error-driven learning in fMRI activity of 217 subjects in a stop signal task to obtain a more robust characterization of the relation between behavioral measures of learning and corresponding neural learning signals than previously possible. Methods: The stop signal task is a two-alternative forced choice in which participants respond to an arrow by pressing a left or right button but must inhibit that response on 1 in 7 trials when cued by an auditory "stop signal." We examined post-error learning by comparing brain activity (BOLD signal) and behavioral responses on trials preceded by successful (correct stop) vs. failed (failed stop) inhibition. Results: There was strong evidence of greater bilateral striatal activity in the period immediately following correct (vs. failed) stop trials (most evident in the putamen; peak MNI coordinates [-26 8 -2], 430 voxels, p < 0.001; [24 14 0], 527 voxels, p < 0.001). We measured median activity in the bilateral striatal cluster following every failed stop and correct stop trial and correlated it with learning signals for (a) probability and (b) latency of the stop signal. In a mixed-effects model predicting activity 5-10 s after the stop signal, both reaction time (RT) change (B = -0.05, t = 3.0, χ Conclusions: A mixed-effects model indicates the striatal activity might be a learning signal that encodes reaction time change and the current expected probability of a stop trial occuring. This extends existing evidence that the striatum encodes a reward prediction error signal for learning within the stop signal task, and demonstrates for the first time that this signal seems to encode both change in stop signal probability and in stop signal delay.

Indexed as

multi-valuereinforcement learningstop signal taskstriatum

Identifiers

PMID38050634
PMCPMC10695358

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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 OpenQuestion graph.