Evidence map›Paper›PMID 37818943›Full record

ArticleeLife2023

Competing neural representations of choice shape evidence accumulation in humans.

Krista Bond, Javier Rasero, Raghav Madan, Jyotika Bahuguna, Jonathan Rubin, Timothy Verstynen

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Krista BondDepartment of Psychology, Carnegie Mellon University, Pittsburgh, United States.ORCID 0000-0003-1492-6798
Javier RaseroDepartment of Psychology, Carnegie Mellon University, Pittsburgh, United States.
Raghav MadanDepartment of Biomedical and Health Informatics, University of Washington, Seattle, United States.ORCID 0000-0002-9790-393X
Jyotika BahugunaDepartment of Psychology, Carnegie Mellon University, Pittsburgh, United States.ORCID 0000-0002-2858-5325
Jonathan RubinCenter for the Neural Basis of Cognition, Pittsburgh, United States.ORCID 0000-0002-1513-1551
Timothy VerstynenDepartment of Psychology, Carnegie Mellon University, Pittsburgh, United States.ORCID 0000-0003-4720-0336
Carnegie Mellon University · USCenter for the Neural Basis of Cognition · USUniversity of Pittsburgh · USUniversity of Washington · US

Funding

CRCNS Circuit-Level Mechanisms of Adaptive decision-makingR01DA053014 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI VERSTYNEN, TIMOTHY D · 2020 to 2022
$1.0M
NIDA NIH HHS R01 DA053014NIH HHS CRCNS: R01DA053014
6 · The paper itself

Abstract

Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-basal ganglia-thalamic (CBGT) circuits can feasibly implement shifts in decision policies. When action contingencies change, dopaminergic plasticity redirects the balance of power, both within and between action representations, to divert the flow of evidence from one option to another. When competition between action representations is highest, the rate of evidence accumulation is the lowest. This prediction was validated in in vivo experiments on human participants, using fMRI, which showed that (1) evoked hemodynamic responses can reliably predict trial-wise choices and (2) competition between action representations, measured using a classifier model, tracked with changes in the rate of evidence accumulation. These results paint a holistic picture of how CBGT circuits manage and adapt the evidence accumulation process in mammals.

Indexed as

Basal GangliaDecision MakingHumansMammalscortico-basal-ganglia networkexplorationhumanneuroscienceuncertainty

Identifiers

PMID37818943
PMCPMC10624421
OpenAlexW4387539875

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.