Evidence map›Paper›PMID 33087799›Full record

ArticleCommunications biology2020

Subjective value and decision entropy are jointly encoded by aligned gradients across the human brain.

Sebastian Bobadilla-Suarez, Olivia Guest, Bradley C Love

Abstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Sebastian Bobadilla-SuarezDepartment of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, UK. sebastian.suarez.12@ucl.ac.uk.ORCID 0000-0002-5951-0772
Olivia GuestDepartment of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, UK.ORCID 0000-0002-1891-0972
Bradley C LoveDepartment of Experimental Psychology, University College London, 26 Bedford Way, London, WC1H 0AP, UK.ORCID 0000-0002-7883-7076

Funding

ONTOGENESIS OF CATEGORIZATION: LINKING DEVELOPMENT, MECHANISMS, AND BIOLOGYP01HD080679 · NICHD · OHIO STATE UNIVERSITY · PI LOVE, BRADLEY C · 2016 to 2020
$5.8M
NICHD NIH HHS P01 HD080679NIH HHS 1P01HD080679Wellcome TrustWellcome Trust WT106931MA
6 · The paper itself

Abstract

Recent work has considered the relationship between value and confidence in both behavioural and neural representation. Here we evaluated whether the brain organises value and confidence signals in a systematic fashion that reflects the overall desirability of options. If so, regions that respond to either increases or decreases in both value and confidence should be widespread. We strongly confirmed these predictions through a model-based fMRI analysis of a mixed gambles task that assessed subjective value (SV) and inverse decision entropy (iDE), which is related to confidence. Purported value areas more strongly signalled iDE than SV, underscoring how intertwined value and confidence are. A gradient tied to the desirability of actions transitioned from positive SV and iDE in ventromedial prefrontal cortex to negative SV and iDE in dorsal medial prefrontal cortex. This alignment of SV and iDE signals could support retrospective evaluation to guide learning and subsequent decisions.

Indexed as

Brain MappingChoice BehaviorDecision MakingModels, PsychologicalAlgorithmsBrainHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMotivation

Identifiers

PMID33087799
PMCPMC7578785

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.