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Functional brain networks associated with eating behaviors in obesity.
- Source :
-
Scientific reports [Sci Rep] 2016 Mar 31; Vol. 6, pp. 23891. Date of Electronic Publication: 2016 Mar 31. - Publication Year :
- 2016
-
Abstract
- Obesity causes critical health problems including diabetes and hypertension that affect billions of people worldwide. Obesity and eating behaviors are believed to be closely linked but their relationship through brain networks has not been fully explored. We identified functional brain networks associated with obesity and examined how the networks were related to eating behaviors. Resting state functional magnetic resonance imaging (MRI) scans were obtained for 82 participants. Data were from an equal number of people of healthy weight (HW) and non-healthy weight (non-HW). Connectivity matrices were computed with spatial maps derived using a group independent component analysis approach. Brain networks and associated connectivity parameters with significant group-wise differences were identified and correlated with scores on a three-factor eating questionnaire (TFEQ) describing restraint, disinhibition, and hunger eating behaviors. Frontoparietal and cerebellum networks showed group-wise differences between HW and non-HW groups. Frontoparietal network showed a high correlation with TFEQ disinhibition scores. Both frontoparietal and cerebellum networks showed a high correlation with body mass index (BMI) scores. Brain networks with significant group-wise differences between HW and non-HW groups were identified. Parts of the identified networks showed a high correlation with eating behavior scores.
- Subjects :
- Adult
Body Mass Index
Brain Mapping
Female
Humans
Magnetic Resonance Imaging
Male
Obesity diagnostic imaging
Retrospective Studies
Surveys and Questionnaires
Cerebellum physiopathology
Feeding Behavior psychology
Frontal Lobe physiopathology
Nerve Net physiopathology
Obesity physiopathology
Parietal Lobe physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 6
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 27030024
- Full Text :
- https://doi.org/10.1038/srep23891