Evidence map›Paper›PMID 33343310›Full record

ArticleFrontiers in behavioral neuroscience2020

Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals.

Junaid S Merchant, Danielle Cosme, Nicole R Giuliani, Bryce Dirks, Elliot T Berkman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Body mass index-dependent shifts along large-scale gradients in human cortical organization explain dietary regulatory success.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Review
  4. 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

5 authors at 4 institutions in 1 country.

Junaid S MerchantNeuroscience and Cognitive Science Program (NACS), Department of Psychology, University of Maryland, College Park, MD, United States.
Danielle CosmeAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, United States.
Nicole R GiulianiPrevention Science Institute, Department of Special Education and Clinical Sciences, University of Oregon, Eugene, OR, United States.
Bryce DirksDepartment of Psychology, University of Miami, Coral Gables, FL, United States.
Elliot T BerkmanCenter for Translational Neuroscience, Department of Psychology, University of Oregon, Eugene, OR, United States.
University of Oregon · USUniversity of Maryland, College Park · USUniversity of Miami · USUniversity of Pennsylvania · US

Funding

Supplement to Prevention Research Center: Parenting Among Women Who Are Opioid Users, Project 2P50DA048756 · NIDA · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2019 to 2023
$18.0M
Construal level as a novel pathway for affect regulation and cancer controlR01CA240452 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2020 to 2024
$3.4M
Devaluing Energy-Dense Foods for Cancer Control: Translational NeuroscienceR01CA211224 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2017 to 2021
$3.2M
RCT of FIND video coaching intervention for caregivers facing economic adversityR01HD094831 · NICHD · UNIVERSITY OF OREGON · PI FISHER, PHILIP A, PEAKE, SHANNON J · 2019 to 2023
$3.1M
Reducing Craving for Cancer-promoting Foods Via Cognitive Self-regulationR21CA175241 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2014 to 2015
$347k
NCI NIH HHS R01 CA211224NCI NIH HHS R01 CA240452NCI NIH HHS R21 CA175241NICHD NIH HHS R01 HD094831NIDA NIH HHS P50 DA048756
6 · The paper itself

Abstract

Considerable evidence points to a link between body mass index (BMI), eating behavior, and the brain's reward system. However, much of this research focuses on food cue reactivity without examining the subjective valuation process as a potential mechanism driving individual differences in BMI and eating behavior. The current pre-registered study (https://osf.io/n4c95/) examined the relationship between BMI, healthy eating, and subjective valuation of healthy and unhealthy foods in a community sample of individuals with higher BMI who intended to eat more healthily. Particularly, we examined: (1) alterations in neurocognitive measures of subjective valuation related to BMI and healthy eating; (2) differences in the neurocognitive valuation for healthy and unhealthy foods and their relation to BMI and healthy eating; (3) and whether we could conceptually replicate prior findings demonstrating differences in neural reactivity to palatable vs. plain foods. To this end, we scanned 105 participants with BMIs ranging from 23 to 42 using fMRI during a willingness-to-pay task that quantifies trial-by-trial valuation of 30 healthy and 30 unhealthy food items. We measured out of lab eating behavior via the Automated Self-Administered 24 H Dietary Assessment Tool, which allowed us to calculate a Healthy Eating Index (HEI). We found that our sample exhibited robust, positive linear relationships between self-reported value and neural responses in regions previously implicated in studies of subjective value, suggesting an intact valuation system. However, we found no relationship between valuation and BMI nor HEI, with Bayes Factor indicating moderate evidence for a null relationship. Separating the food types revealed that healthy eating, as measured by the HEI, was inversely related to subjective valuation of unhealthy foods. Imaging data further revealed a stronger linkage between valuation of healthy (compared to unhealthy) foods and corresponding response in the ventromedial prefrontal cortex (vmPFC), and that the interaction between healthy and unhealthy food valuation in this region is related to HEI. Finally, our results did not replicate reactivity differences demonstrated in prior work, likely due to differences in the mapping between food healthiness and palatability. Together, our findings point to disruptions in the valuation of unhealthy foods in the vmPFC as a potential mechanism influencing healthy eating.

Indexed as

BMI—body mass indexfMRIfood-cue reactivityhealthy eatingsubjective valuationwillingness-to-pay

Identifiers

PMID33343310
PMCPMC7746820
OpenAlexW3109590816

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.