Evidence map›Paper›PMID 33771695›Full record

ArticleNeuroImage2021

Neural correlates of visual attention during risky decision evidence integration.

John R Purcell, Andrew Jahn, Justin M Fine, Joshua W Brown

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

John R PurcellDepartment of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA; Program in Neuroscience, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA. Electronic address: johnpurc@indiana.edu.
Andrew JahnDepartment of Psychology, University of Michigan, East Hall, 530 Church St, #1265 Ann Arbor, MI 48109, USA. Electronic address: ajahn@umich.edu.
Justin M FineDepartment of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA. Electronic address: justfine@iu.edu.
Joshua W BrownDepartment of Psychological & Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA; Program in Neuroscience, Indiana University, 1101 E. 10th St., Bloomington, IN 47405, USA. Electronic address: jwmbrown@indiana.edu.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Training in Clinical Translational Science: Maximizing the Public Health ImpactT32MH103213 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI WILLIAM P HETRICK · 2015 to 2026
$3.4M
Indiana Clinical and Translational Sciences InstituteTL1TR001107 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$2.0M
Neural mechanisms of risky behavior avoidanceR01DA026457 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI BROWN, JOSHUA W · 2009 to 2010
$684k
Neural mechanisms of addictive drug-taking decisionsR21DA040773 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI BROWN, JOSHUA W · 2017 to 2018
$432k
Neural Circuity of Risk Aversion and Reward Processing in Psychotic DisordersF31MH122122 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI PURCELL, JOHN RANDALL · 2020 to 2020
$46k
NCATS NIH HHS TL1 TR001107NCATS NIH HHS UL1 TR001108NIDA NIH HHS R01 DA026457NIDA NIH HHS R21 DA040773NIMH NIH HHS F31 MH122122NIMH NIH HHS T32 MH103213
6 · The paper itself

Abstract

Value-based decision-making is presumed to involve a dynamic integration process that supports assessing the potential outcomes of different choice options. Decision frameworks assume the value of a decision rests on both the desirability and risk surrounding an outcome. Previous work has highlighted neural representations of risk in the human brain, and their relation to decision choice. Key neural regions including the insula and anterior cingulate cortex (ACC) have been implicated in encoding the effects of risk on decision outcomes, including approach and avoidance. Yet, it remains unknown whether these regions are involved in the dynamic integration processes that precede and drive choice, and their relationship with ongoing attention. Here, we used concurrent fMRI and eye-tracking to discern neural activation related to visual attention preceding choice between sure-thing (i.e. safe) and risky gamble options. We found activation in both dorsal ACC (dACC) and posterior insula (PI) scaled in opposite directions with the difference in attention to risky rewards relative to risky losses. PI activation also differentiated foveations on both risky options (rewards and losses) relative to a sure-thing option. These findings point to ACC involvement in ongoing evaluation of risky but higher value options. The role of PI in risky outcomes points to a more general evaluative role in the decision-making that compares both safe and risky outcomes, irrespective of potential for gains or losses.

Indexed as

Risk-TakingAdultAttentionDecision MakingEye-Tracking TechnologyFemaleGamblingGyrus CinguliHumansMagnetic Resonance ImagingMalePhotic StimulationVisual PerceptionYoung Adult

Identifiers

PMID33771695
PMCPMC8159858

What OpenQuestion holds

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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.