{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T02:19:13Z","timestamp":1777861153036,"version":"3.51.4"},"reference-count":45,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study\u00a0investigated the neural mechanisms underlying appetite dysregulation in female subjects with abdominal obesity (AO) by identifying functional connectivity (FC) and network\u2010level differences between moderate appetite (MA) and strong appetite (SA) subtypes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 60 women with AO (30 MA, 30 SA) and 30 healthy controls (HCs) underwent resting\u2010state fMRI. Independent component analysis was used to identify and examine FC within and functional network connectivity (FNC) between key resting\u2010state networks, including those involved in cognitive and visual processing. Network alterations and correlations with obesity\u2010related indicators were evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Compared to HCs, both groups showed reduced FC in the default mode network (DMN) and visual network (VN), with SA additionally exhibiting decreased FC in the frontoparietal network (FPN) and lower angular gyrus FC than MA (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05, FDR\u2010corrected). MA displayed increased DMN\u2010left FPN (FPN_L) FNC (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), while SA showed negative correlations between FC and BMI\/appetite visual analog scale (VAS) scores in FPN and with body weight\/BMI\/appetite VAS in VN (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). In HCs, DMN\u2010FPN_L FNC positively correlated with BMI, a pattern that was not observed in MA.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Distinct brain network patterns characterize appetite subtypes in AO. SA showed more pronounced FC reductions in networks previously linked to self\u2010regulation and visual processing, which may contribute to appetite dysregulation based on correlations with obesity indicators. In contrast, MA exhibited increased DMN\u2010FPN_L FNC, potentially reflecting adaptive internetwork interactions.\n                      <jats:boxed-text content-type=\"graphic\" position=\"anchor\">\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mimetype=\"image\/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic\/oby70040-gra-0001-m.png\">\n                          <jats:alt-text>image<\/jats:alt-text>\n                        <\/jats:graphic>\n                      <\/jats:boxed-text>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/oby.70040","type":"journal-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T11:26:58Z","timestamp":1761218818000},"page":"2317-2329","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neural Network Dysregulation in Female Abdominal Obesity: Distinct Functional Connectivity in Different Appetite Subtypes"],"prefix":"10.1002","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8823-4930","authenticated-orcid":false,"given":"Qifu","family":"Li","sequence":"first","affiliation":[{"name":"Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment Yunnan University of Chinese Medicine  Kunming China"},{"name":"School of Second Clinical Medicine\/The Second Affiliated Hospital Yunnan University of Chinese Medicine  Kunming China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siwen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment Yunnan University of Chinese Medicine  Kunming China"},{"name":"School of Second Clinical Medicine\/The Second Affiliated Hospital Yunnan University of Chinese Medicine  Kunming 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