Evidence map›Paper›PMID 28360430›Full record

ArticleInternational journal of obesity (2005)2017

Sex differences in the influence of body mass index on anatomical architecture of brain networks.

A Gupta, E A Mayer, K Hamadani, R Bhatt, C Fling, M Alaverdyan, C Torgerson, C Ashe-McNalley, J D Van Horn, B Naliboff and 3 more

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  12. Sexes on the brain: Sex as multiple biological variables in the neuronal control of feeding.Biochimica et biophysica acta. Molecular basis of disease · 2020
    Review
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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

13 authors at 4 institutions in 1 country.

A GuptaG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
E A MayerG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
K HamadaniG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
R BhattG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
C FlingG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
M AlaverdyanG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
C TorgersonThe Institute for Neuroimaging and Informatics (INI) and Laboratory of NeuroImaging (LONI), Keck School of Medicine at USC, Los Angeles, CA, USA.
C Ashe-McNalleyG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
J D Van HornThe Institute for Neuroimaging and Informatics (INI) and Laboratory of NeuroImaging (LONI), Keck School of Medicine at USC, Los Angeles, CA, USA.
B NaliboffG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
K TillischG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
C P SanmiguelG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
J S LabusG Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA, USA.
Center for Neurologic Study · USElucid Bioimaging · USIntegrative Medicine Institute · USUniversity of California, Los Angeles · US

Funding

Pilot and Feasibility ProgramP30DK041301 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROZENGURT, JUAN ENRIQUE · 1990 to 2019
$18.0M
Women's Health and Functional Visceral Disorders CenterP50DK064539 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYER, EMERAN A · 2002 to 2017
$17.5M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
PERCEPTION AND MODULATION OF VISCERAL SENSATIONSR01DK048351 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYER, EMERAN A · 1996 to 2019
$8.2M
Neuroimaging biomarkers of Mind-Body treatment response in chronic visceral painR01AT007137 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NALIBOFF, BRUCE D, TILLISCH, KIRSTEN · 2011 to 2015
$2.7M
Role of Inflammatory Processes in Reward Network Alterations in ObesityK23DK106528 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHURCH, ARPANA · 2016 to 2020
$1.0M
Brain mechanisms underlying selective attention in IBSR03DK084169 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LABUS, JENNIFER S · 2009 to 2010
$153k
NCCIH NIH HHS R01 AT007137NCRR NIH HHS L30 RR025942NIBIB NIH HHS P41 EB015922NIDDK NIH HHS K23 DK106528NIDDK NIH HHS P30 DK041301NIDDK NIH HHS P50 DK064539NIDDK NIH HHS R01 DK048351NIDDK NIH HHS R03 DK084169
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe brain has a central role in regulating ingestive behavior in obesity. Analogous to addiction behaviors, an imbalance in the processing of rewarding and salient stimuli results in maladaptive eating behaviors that override homeostatic needs. We performed network analysis based on graph theory to examine the association between body mass index (BMI) and network measures of integrity, information flow and global communication (centrality) in reward, salience and sensorimotor regions and to identify sex-related differences in these parameters. SUBJECTS/

methodsStructural and diffusion tensor imaging were obtained in a sample of 124 individuals (61 males and 63 females). Graph theory was applied to calculate anatomical network properties (centrality) for regions of the reward, salience and sensorimotor networks. General linear models with linear contrasts were performed to test for BMI and sex-related differences in measures of centrality, while controlling for age.

resultsIn both males and females, individuals with high BMI (obese and overweight) had greater anatomical centrality (greater connectivity) of reward (putamen) and salience (anterior insula) network regions. Sex differences were observed both in individuals with normal and elevated BMI. In individuals with high BMI, females compared to males showed greater centrality in reward (amygdala, hippocampus and nucleus accumbens) and salience (anterior mid-cingulate cortex) regions, while males compared to females had greater centrality in reward (putamen) and sensorimotor (posterior insula) regions.

conclusionsIn individuals with increased BMI, reward, salience and sensorimotor network regions are susceptible to topological restructuring in a sex-related manner. These findings highlight the influence of these regions on integrative processing of food-related stimuli and increased ingestive behavior in obesity, or in the influence of hedonic ingestion on brain topological restructuring. The observed sex differences emphasize the importance of considering sex differences in obesity pathophysiology.

Indexed as

Body Mass IndexSex CharacteristicsAdultAnalysis of VarianceBrainBrain MappingDiffusion Magnetic Resonance ImagingFeeding BehaviorFemaleHumansImpulsive BehaviorMaleMiddle AgedModels, NeurologicalNeural PathwaysNeuroimaging

Identifiers

PMID28360430
PMCPMC5548596
OpenAlexW2602406029

What OpenQuestion holds

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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.