Intrinsic brain subsystem associated with dietary restraint, disinhibition and hunger: an fMRI study
Eating behaviors are closely related to body weight, and eating traits are depicted in three dimensions: dietary restraint, disinhibition, and hunger. The current study aims to explore whether these aspects of eating behaviors are related to intrinsic brain activation, and to further investigate the relationship between the brain activation relating to these eating traits and body weight, as well as the link between function connectivity (FC) of the correlative brain regions and body weight. Our results demonstrated positive associations between dietary restraint and baseline activation of the frontal and the temporal regions (i.e., food reward encoding) and the limbic regions (i.e., homeostatic control, including the hypothalamus). Disinhibition was positively associated with the activation of the frontal motivational system (i.e., OFC) and the premotor cortex. Hunger was positively related to extensive activations in the prefrontal, temporal, and limbic, as well as in the cerebellum. Within the brain regions relating to dietary restraint, weight status was negatively correlated with FC of the left middle temporal gyrus and left inferior temporal gyrus, and was positively associated with the FC of regions in the anterior temporal gyrus and fusiform visual cortex. Weight status was positively associated with the FC within regions in the prefrontal motor cortex and the right ACC serving inhibition, and was negatively related with the FC of regions in the frontal cortical-basal ganglia-thalamic circuits responding to hunger control. Our data depicted an association between intrinsic brain activation and dietary restraint, disinhibition, and hunger, and presented the links of their activations and FCs with weight status.
KeywordsObesity Functional magnetic resonance imaging Resting state Functional connectivity Three factor eating questionnaire
Compliance with ethical standards
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, and the applicable revisions at the time of the investigation. Informed consent was obtained from all patients for being included in the study.
This paper is supported by National Natural Science Foundation of China under Grant Nos. 61473235, 81271549, 61131003, 81470816, 61431013, 81201081, 81227901, 81120108005; the Fundamental Research Funds for the Central Universities No. QN2012031; the Shaanxi Provincial Natural Science Foundation under Grant No. 2015JM3117.
Data collection and sharing project was funded in part by the New York State Office of Mental Health and Research Foundation for Mental Hygiene. Additional project support provided by the NKI Center for Advanced Brain Imaging (CABI), the Brain Research Foundation (Chicago, IL), the Stavros Niarchos Foundation, and NIH grant P50 MH086385-S1. The project Directors were F. Xavier Castellanos, Bennett Leventhal, and Michael Milham. The Project Coordinator was Kate Nooner. David Gutman and Maarten Mennes finished Computational Infrastructure and Data Analytic Development/Support. The NKI/Rockland Sample Team included Melissa Benedict, Bharat Biswal, Barbara Coffey, Stan Colcombe, David Guilfoyle, David Gutman, Harold S. Koplewicz, Matthew Hoptman, Dan Javitt, Larry Maayan, Maarten Mennes, Kate Nooner, Nunzio Pomara. I would like to express my gratitude to Heather S. Pixley for the English editing of this paper.
Conflict of interest
The authors declare that they have no conflicts of interest.
Informed consent was obtained when study participants joined the International Neuroimaging Data-sharing Initiative (INDI) database.
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