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Functional brain networks associated with eating behaviors in obesity

DC Field Value Language
dc.contributor.authorPark, BY-
dc.contributor.authorSeo, J-
dc.contributor.authorHyunjin Park-
dc.date.accessioned2016-06-22T08:13:48Z-
dc.date.available2016-06-22T08:13:48Z-
dc.date.created2016-05-17-
dc.date.issued2016-03-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/2549-
dc.description.abstractObesity 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.-
dc.description.uri1-
dc.language영어-
dc.publisherNATURE PUBLISHING GROUP-
dc.titleFunctional brain networks associated with eating behaviors in obesity-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000373170800001-
dc.identifier.scopusid2-s2.0-84963704093-
dc.identifier.rimsid55379-
dc.date.tcdate2018-10-01-
dc.contributor.affiliatedAuthorHyunjin Park-
dc.identifier.doi10.1038/srep23891-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, v.6, pp.23891-
dc.citation.titleSCIENTIFIC REPORTS-
dc.citation.volume6-
dc.citation.startPage23891-
dc.date.scptcdate2018-10-01-
dc.description.wostc4-
dc.description.scptc6-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusHUMAN CONNECTOME PROJECT-
dc.subject.keywordPlusRESTING-STATE-
dc.subject.keywordPlusWEIGHT-GAIN-
dc.subject.keywordPlusFOOD-INTAKE-
dc.subject.keywordPlusCONNECTIVITY-
dc.subject.keywordPlusREWARD-
dc.subject.keywordPlusFMRI-
dc.subject.keywordPlusIMPULSIVITY-
dc.subject.keywordPlusCENTRALITY-
dc.subject.keywordPlusDISORDERS-
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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