Evidence map›Paper›PMID 29950596›Full record

ArticleNature communications2018

Dissociable neural mechanisms track evidence accumulation for selection of attention versus action.

Amitai Shenhav, Mark A Straccia, Sebastian Musslick, Jonathan D Cohen, Matthew M Botvinick

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  17. Review
  18. Article
  19. Article
  20. A neural network for information seeking.Nature communications · 2019
    Article
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

5 authors.

Amitai ShenhavDepartment of Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, 02912, USA. amitai_shenhav@brown.edu.
Mark A StracciaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA.
Sebastian MusslickPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA.ORCID http://orcid.org/0000-0002-8896-639X
Jonathan D CohenPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA.
Matthew M BotvinickDeepMind, London, N1C 4AG, UK.ORCID http://orcid.org/0000-0001-7758-6896

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI WORDEN, MICHAEL S · 2013 to 2022
$22.9M
NIGMS NIH HHS P20 GM103645
6 · The paper itself

Abstract

Decision-making is typically studied as a sequential process from the selection of what to attend (e.g., between possible tasks, stimuli, or stimulus attributes) to which actions to take based on the attended information. However, people often process information across these various levels in parallel. Here we scan participants while they simultaneously weigh how much to attend to two dynamic stimulus attributes and what response to give. Regions of the prefrontal cortex track information about the stimulus attributes in dissociable ways, related to either the predicted reward (ventromedial prefrontal cortex) or the degree to which that attribute is being attended (dorsal anterior cingulate cortex, dACC). Within the dACC, adjacent regions track correlates of uncertainty at different levels of the decision, regarding what to attend versus how to respond. These findings bridge research on perceptual and value-based decision-making, demonstrating that people dynamically integrate information in parallel across different levels of decision-making.

Indexed as

AdultAttentionDecision MakingFemaleFunctional NeuroimagingGyrus CinguliHumansMagnetic Resonance ImagingMalePrefrontal CortexPsychometricsRewardYoung Adult

Identifiers

PMID29950596
PMCPMC6021379

What OpenQuestion holds

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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.