{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:03:45Z","timestamp":1792785825466,"version":"4.5.0"},"reference-count":93,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"vor","delay-in-days":33,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["R01 MD015904"],"award-info":[{"award-number":["R01 MD015904"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["K23 DK106528"],"award-info":[{"award-number":["K23 DK106528"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["R03 DK121025"],"award-info":[{"award-number":["R03 DK121025"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["ULTR001881\/DK041301"],"award-info":[{"award-number":["ULTR001881\/DK041301"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Science Foundation"},{"name":"Ahmanson-Lovelace Brain Mapping Center"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Investigating sex as a biological variable is key to determine obesity manifestation and treatment response. Individual neuroimaging modalities have uncovered mechanisms related to obesity and altered ingestive behaviours. However, few, if any, studies have integrated data from multi-modal brain imaging to predict sex-specific brain signatures related to obesity. We used a data-driven approach to investigate how multi-modal MRI and clinical features predict a sex-specific signature of participants with high body mass index (overweight\/obese) compared to non-obese body mass index in a sex-specific manner. A total of 78 high body mass index (55 female) and 105 non-obese body mass index (63 female) participants were enrolled in a cross-sectional study. All participants classified as high body mass index had a body mass index greater than 25\u2005kg\/m2 and non-obese body mass index had a body mass index between 19 and 20\u2005kg\/m2. Multi-modal neuroimaging (morphometry, functional resting-state MRI and diffusion-weighted scan), along with a battery of behavioural and clinical questionnaires were acquired, including measures of mood, early life adversity and altered ingestive behaviours. A Data Integration Analysis for Biomarker discovery using Latent Components was conducted to determine whether clinical features, brain morphometry, functional connectivity and anatomical connectivity could accurately differentiate participants stratified by obesity and sex. The derived models differentiated high body mass index against non-obese body mass index participants, and males with high body mass index against females with high body mass index obtaining balanced accuracies of 77 and 75%, respectively. Sex-specific differences within the cortico-basal-ganglia-thalamic-cortico loop, the choroid plexus-CSF system, salience, sensorimotor and default-mode networks were identified, and were associated with early life adversity, mental health quality and greater somatosensation. Results showed multi-modal brain signatures suggesting sex-specific cortical mechanisms underlying obesity, which fosters clinical implications for tailored obesity interventions based on sex.<\/jats:p>","DOI":"10.1093\/braincomms\/fcad098","type":"journal-article","created":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T19:03:21Z","timestamp":1679943801000},"source":"Crossref","is-referenced-by-count":5,"title":["Integrated multi-modal brain signatures predict sex-specific obesity status"],"prefix":"10.1093","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2498-8888","authenticated-orcid":false,"given":"Ravi R","family":"Bhatt","sequence":"first","affiliation":[{"name":"Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California , Marina del Rey, CA, 90089 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Svetoslav","family":"Todorov","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riya","family":"Sood","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soumya","family":"Ravichandran","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa A","family":"Kilpatrick","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Newton","family":"Peng","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cathy","family":"Liu","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priten P","family":"Vora","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA , Los Angeles, CA, 90095 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neda","family":"Jahanshad","sequence":"additional","affiliation":[{"name":"Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California , Marina del Rey, CA, 90089 , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arpana","family":"Gupta","sequence":"additional","affiliation":[{"name":"Goodman-Luskin Microbiome Center, G. 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