Evidence map›Paper›PMID 27542906›Full record

ArticleObesity (Silver Spring, Md.)2016

Reproducibility assessment of brain responses to visual food stimuli in adults with overweight and obesity.

R Drew Sayer, Gregory G Tamer, Ningning Chen, Jason R Tregellas, Marc-Andre Cornier, David A Kareken, Thomas M Talavage, Megan A McCrory, Wayne W Campbell

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  8. Article
  9. Good practice in food-related neuroimaging.The American journal of clinical nutrition · 2019
    Article
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

9 authors at 4 institutions in 1 country.

R Drew SayerDepartment of Nutrition Science, Purdue University, West Lafayette, Indiana, USA.ORCID 0000-0002-9488-7030
Gregory G TamerWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.
Ningning ChenDepartment of Statistics, Purdue University, West Lafayette, Indiana, USA.
Jason R TregellasDepartment of Psychiatry, University of Colorado School of Medicine, Aurora, Colorado, USA.
Marc-Andre CornierDepartment of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA.
David A KarekenDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Thomas M TalavageWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.
Megan A McCroryDepartment of Nutrition, Georgia State University, Atlanta, Georgia, USA.
Wayne W CampbellDepartment of Nutrition Science, Purdue University, West Lafayette, Indiana, USA. campbellw@purdue.edu.
Purdue University West Lafayette · USUniversity of Colorado Denver · USGeorgia State University · USIndiana University School of Medicine

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Paul S. Maclean · 1995 to 2026
$32.6M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Neuronal Effects of Exercise on SchizophreniaR01MH102224 · NIMH · UNIVERSITY OF COLORADO DENVER · PI TREGELLAS, JASON R · 2014 to 2018
$1.9M
Nicotinic Agonist Effects on BMI and Neuronal Response in Overweight/Obese AdultsR01DK103691 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI TREGELLAS, JASON R · 2015 to 2019
$1.9M
Functional aspects of SREBP1c in intact skeletal muscleK01DK067403 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MACLEAN, PAUL S · 2005 to 2007
$397k
NCATS NIH HHS UL1 TR001108NIDDK NIH HHS R01 DK103691NIMH NIH HHS R01 MH102224
6 · The paper itself

Abstract

objectiveThe brain's reward system influences ingestive behavior and subsequently obesity risk. Functional magnetic resonance imaging (fMRI) is a common method for investigating brain reward function. This study sought to assess the reproducibility of fasting-state brain responses to visual food stimuli using BOLD fMRI.

methodsA priori brain regions of interest included bilateral insula, amygdala, orbitofrontal cortex, caudate, and putamen. Fasting-state fMRI and appetite assessments were completed by 28 women (n = 16) and men (n = 12) with overweight or obesity on 2 days. Reproducibility was assessed by comparing mean fasting-state brain responses and measuring test-retest reliability of these responses on the two testing days.

resultsMean fasting-state brain responses on day 2 were reduced compared with day 1 in the left insula and right amygdala, but mean day 1 and day 2 responses were not different in the other regions of interest. With the exception of the left orbitofrontal cortex response (fair reliability), test-retest reliabilities of brain responses were poor or unreliable.

conclusionsfMRI-measured responses to visual food cues in adults with overweight or obesity show relatively good mean-level reproducibility but considerable within-subject variability. Poor test-retest reliability reduces the likelihood of observing true correlations and increases the necessary sample sizes for studies.

Indexed as

AdultAmygdalaAppetiteAppetite RegulationChoice BehaviorCuesFastingFeeding BehaviorFemaleFood PreferencesFrontal LobeHumansMaleObesityPhotic StimulationReproducibility of Results

Identifiers

PMID27542906
PMCPMC5039059
OpenAlexW2510865498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.