Neural correlates of future weight loss reveal a possible role for brain-gastric interactions.
Adult
Brain
/ diagnostic imaging
Clinical Decision Rules
Connectome
Diet, Mediterranean
Exercise
Female
Functional Neuroimaging
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Neural Pathways
/ diagnostic imaging
Obesity
/ diet therapy
Overweight
/ diet therapy
Polyphenols
Sensorimotor Cortex
/ diagnostic imaging
Stomach
/ physiopathology
Treatment Outcome
Weight Loss
Functional connectivity
Gastric network
Lifestyle intervention
Mediterranean diet
Obesity
Physical activity
Stomach
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
01 01 2021
01 01 2021
Historique:
received:
17
02
2020
revised:
19
08
2020
accepted:
25
08
2020
pubmed:
27
9
2020
medline:
9
3
2021
entrez:
26
9
2020
Statut:
ppublish
Résumé
Lifestyle dietary interventions are an essential practice in treating obesity, hence neural factors that may assist in predicting individual treatment success are of great significance. Here, in a prospective, open-label, three arms study, we examined the correlation between brain resting-state functional connectivity measured at baseline and weight loss following 6 months of lifestyle intervention in 92 overweight participants. We report a robust subnetwork composed mainly of sensory and motor cortical regions, whose edges correlated with future weight loss. This effect was found regardless of intervention group. Importantly, this main finding was further corroborated using a stringent connectivity-based prediction model assessed with cross-validation thus attesting to its robustness. The engagement of senso-motor regions in this subnetwork is consistent with the over-sensitivity to food cues theory of weight regulation. Finally, we tested an additional hypothesis regarding the role of brain-gastric interaction in this subnetwork, considering recent findings of a cortical network synchronized with gastric activity. Accordingly, we found a significant spatial overlap with the subnetwork reported in the present study. Moreover, power in the gastric basal electric frequency within our reported subnetwork negatively correlated with future weight loss. This finding was specific to the weight loss related subnetwork and to the gastric basal frequency. These findings should be further corroborated by combining direct recordings of gastric activity in future studies. Taken together, these intriguing results may have important implications for our understanding of the etiology of obesity and the mechanism of response to dietary intervention.
Identifiants
pubmed: 32979521
pii: S1053-8119(20)30888-0
doi: 10.1016/j.neuroimage.2020.117403
pii:
doi:
Substances chimiques
Polyphenols
0
Banques de données
figshare
['10.6084/m9.figshare.c.4557347.v1']
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
117403Informations de copyright
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.