Efficacy of weight loss intervention can be predicted based on early alterations of fMRI food cue reactivity in the striatum.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2019
Historique:
received: 23 10 2018
revised: 04 03 2019
accepted: 26 03 2019
pubmed: 17 4 2019
medline: 3 4 2020
entrez: 17 4 2019
Statut: ppublish

Résumé

Increased fMRI food cue reactivity in obesity, i.e. higher responses to high- vs. low-calorie food images, is a promising marker of the dysregulated brain reward system underlying enhanced susceptibility to obesogenic environmental cues. Recently, it has also been shown that weight loss interventions might affect fMRI food cue reactivity and that there is a close association between the alteration of cue reactivity and the outcome of the intervention. Here we tested whether fMRI food cue reactivity could be used as a marker of diet-induced early changes of neural processing in the striatum that are predictive of the outcome of the weight loss intervention. To this end we investigated the relationship between food cue reactivity in the striatum measured one month after the onset of the weight loss program and weight changes obtained at the end of the six-month intervention. We observed a significant correlation between BMI change measured after six months and early alterations of fMRI food cue reactivity in the striatum, including the bilateral putamen, right pallidum, and left caudate. Our findings provide evidence for diet-induced early alterations of fMRI food cue reactivity in the striatum that can predict the outcome of the weight loss intervention.

Identifiants

pubmed: 30991304
pii: S2213-1582(19)30153-6
doi: 10.1016/j.nicl.2019.101803
pmc: PMC6463125
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101803

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

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Auteurs

Petra Hermann (P)

Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary. Electronic address: hermann.petra@ttk.mta.hu.

Viktor Gál (V)

Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.

István Kóbor (I)

MR Research Center, Semmelweis University, Budapest H-1085, Hungary.

C Brock Kirwan (CB)

Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary; Neuroscience Center, Brigham Young University, Provo, UT 84602, USA.

Péter Kovács (P)

Obesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.

Tamás Kitka (T)

Obesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.

Zsuzsanna Lengyel (Z)

Obesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.

Eszter Bálint (E)

Department of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.

Balázs Varga (B)

Department of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.

Csongor Csekő (C)

Department of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.

Zoltán Vidnyánszky (Z)

Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary. Electronic address: vidnyanszky.zoltan@ttk.mta.hu.

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