Evidence map›Paper›PMID 29543993›Full record

ReviewAnnals of the New York Academy of Sciences2018

Neural predictors of eating behavior and dietary change.

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

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Review
  10. Children's eating behaviours and related constructs: conceptual and theoretical foundations and their implications.The international journal of behavioral nutrition and physical activity · 2023
    Review
  11. Article
  12. Article
  13. Food cue reactivity: Neurobiological and behavioral underpinnings.Reviews in endocrine & metabolic disorders · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Neural response to fast food commercials in adolescents predicts intake.The American journal of clinical nutrition · 2020
    Article
  18. Article
  19. Article
  20. Extrinsic Factors Underlying Food Valuation in the Human Brain.Frontiers in behavioral neuroscience · 2020
    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

4 authors.

Nicole R GiulianiDepartment of Special Education and Clinical Sciences, College of Education, University of Oregon, Eugene, Oregon.
Junaid S MerchantDepartment of Psychology, Georgetown University, Washington, DC.
Danielle CosmeCenter for Translational Neuroscience, University of Oregon, Eugene, Oregon.
Elliot T BerkmanCenter for Translational Neuroscience, University of Oregon, Eugene, Oregon.ORCID 0000-0002-7113-5792

Funding

Devaluing Energy-Dense Foods for Cancer Control: Translational NeuroscienceR01CA211224 · NCI · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2017 to 2021
$3.2M
Tailored inhibitory control training to reverse EA-linked deficits in mid-lifeR01AG048840 · NIA · UNIVERSITY OF OREGON · PI BERKMAN, ELLIOT TODD · 2014 to 2015
$670k
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 R21 CA175241NIA NIH HHS R01 AG048840
6 · The paper itself

Abstract

Recently, there has been an increase in the number of human neuroimaging studies seeking to predict behavior above and beyond traditional measurements such as self-report. This trend has been particularly notable in the area of food consumption, as the percentage of people categorized as overweight or obese continues to rise. In this review, we argue that there is considerable utility in this form of health neuroscience, modeling the neural bases of eating behavior and dietary change in healthy community populations. Further, we propose a model and accompanying evidence indicating that several basic processes underlying eating behavior, particularly reactivity, regulation, and valuation, can be predictive of behavior change. We also discuss future directions for this work.

Indexed as

DietModels, NeurologicalModels, PsychologicalAppetiteBrainBrain MappingFeeding BehaviorForecastingHealth BehaviorHumansNeural PathwaysObesityOverweightPatient Acceptance of Health CarePatient Generated Health DataPsychophysiologybehavior changebrain-as-predictordietingeating

Identifiers

PMID29543993
PMCPMC6139096

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.