Identification of a brain fingerprint for overweight and obesity.

Adiposity Adult Body Mass Index Brain / diagnostic imaging Humans Obesity Overweight Risk Factors Waist Circumference
BMI Functional connectivity Insulin Obesity Prediction Waist circumference

Journal

Physiology & behavior
ISSN: 1873-507X
Titre abrégé: Physiol Behav
Pays: United States
ID NLM: 0151504

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 03 12 2019
revised: 27 04 2020
accepted: 28 04 2020
pubmed: 18 5 2020
medline: 22 6 2021
entrez: 18 5 2020
Statut: ppublish

Résumé

The brain plays a central role in the pathophysiology of overweight and obesity. Connectome-based Predictive Modeling (CPM) is a newly developed, data-driven approach that exploits whole-brain functional connectivity to predict a behavior or trait that varies across individuals. We used CPM to determine whether brain "fingerprints" evoked during milkshake consumption could be isolated for common measures of adiposity in 67 adults with overweight and obesity. We found that CPM captures more variance in waist circumference than either percent body fat or BMI, the most frequently used measures to assess brain correlates of obesity. In a post-hoc analysis, we were also able to derive a largely separable functional connectivity network predicting fasting blood insulin. These findings suggest that, in individuals with overweight and obesity, brain network patterns may be more tightly coupled to waist circumference than BMI or percent body fat and that adiposity and glucose tolerance are associated with distinct maps, pointing to dissociable central pathophysiological phenotypes for obesity and diabetes.

Identifiants

DOI: 10.1016/j.physbeh.2020.112940 PMID: 32417645 PMC: PMC7321926
pubmed: 32417645
pii: S0031-9384(20)30254-7
doi: 10.1016/j.physbeh.2020.112940
pmc: PMC7321926
mid: NIHMS1597514
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

112940

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NINDS NIH HHS
ID : T32 NS041228
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK045735
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK114169
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA180030
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

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Auteurs

Michael C Farruggia (MC)

Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA. Electronic address: michael.farruggia@yale.edu.

Maria J van Kooten (MJ)

Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; University of Groningen, Faculty of Medical Sciences, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands. Electronic address: m.j.van.kooten@umcg.nl.

Emily E Perszyk (EE)

Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA. Electronic address: emily.perszyk@yale.edu.

Mary V Burke (MV)

Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA. Electronic address: mary.burke@yale.edu.

Dustin Scheinost (D)

Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States; Department of Statistics and Data Science, Yale University, New Haven, CT, United States; Child Study Center, Yale School of Medicine, New Haven, CT, United States. Electronic address: dustin.scheinost@yale.edu.

R Todd Constable (RT)

Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States. Electronic address: todd.constable@yale.edu.

Dana M Small (DM)

Interdepartmental Neuroscience Program, Yale University, 333 Cedar Street, New Haven, CT, U.S.; Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; Department of Psychology, Yale University, New Haven, CT, United States; fMEG Center, University of Tübingen, Tübingen, Germany. Electronic address: dana.small@yale.edu.

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Classifications MeSH

questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Composition corporelle › Répartition du tissu adipeux › Adiposité › Identification of a brain fingerprint for...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Identification of a brain fingerprint for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Biométrie › Anthropométrie › Indice de masse corporelle › Identification of a brain fingerprint for...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Identification of a brain fingerprint for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Identification of a brain fingerprint for...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Obésité › Identification of a brain fingerprint for...
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Apparence corporelle › Surpoids › Identification of a brain fingerprint for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Identification of a brain fingerprint for...
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Poids et mesures du corps › Tour de taille › Identification of a brain fingerprint for...