Evidence map›Paper›PMID 37267322›Full record

ArticlePloS one2023

The prediction of market-level food choices by the neural valuation signal.

Andrew Kislov, Anna Shestakova, Vadim Ushakov, Mario Martinez-Saito, Valeria Beliaeva, Olga Savelo, Aleksey Vasilchuk, Vasily Klucharev

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andrew KislovInternational Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.ORCID 0000-0001-9722-3347
Anna ShestakovaInternational Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.
Vadim UshakovInstitute for Advanced Brain Studies, Lomonosov Moscow State University, Moscow, Russia.
Mario Martinez-SaitoInternational Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.ORCID 0000-0001-6794-336X
Valeria BeliaevaDecision Neuroscience Lab, Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland.ORCID 0000-0002-3515-7265
Olga SaveloInternational Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.
Aleksey VasilchukRestart Vasilchuk Brothers, Moscow, Russia.
Vasily KlucharevInternational Laboratory of Social Neurobiology, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimaging studies have demonstrated the ability to use the brain activity of a group of individuals to forecast the behavior of an independent group. In the current study, we attempted to forecast aggregate choices in a popular restaurant chain. During our functional magnetic resonance imaging (fMRI) study, 22 participants were exposed to 78 photos of dishes from a new menu of a popular restaurant chain. In addition to self-reported preferences, fMRI data was extracted from an a priori domain-general and task-specific region of interest-the ventral striatum. We investigated the relationship between the neural activity and real one-year sales provided by the restaurant chain. Activity in the ventral striatum, which was defined using the task-specific region of interest, significantly correlated (r = 0.28, p = 0.01) with one-year sales. A regression analysis, which included ventral striatum activity together with the objective characteristics of the products (price and weight), behavioral, and survey data, showed R2 values of 0.33. Overall, our results confirm prior studies, which have suggested, that brain activity in the reward system of a relatively small number of individuals can forecast the aggregate choice of a larger independent group of people.

Indexed as

BrainMagnetic Resonance ImagingFood PreferencesHumansNeuroimagingReward

Identifiers

PMID37267322
PMCPMC10237376

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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.