{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T06:44:55Z","timestamp":1776062695627,"version":"3.50.1"},"reference-count":96,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Binge-type eating disorders, including bulimia nervosa (BN) and binge eating disorder (BED), are associated with both shared and disorder-specific neurobiological mechanisms across brain, behavior, and physiology. A clearer distinction between shared mechanisms and disorder-specific alterations may advance our understanding of binge-type eating pathology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We applied a comprehensive multimodal machine learning framework to 110 participants (BN, BED, and age &amp;amp; weight matched controls), integrating task-based fMRI, intrinsic connectivity, voxel-based morphometry, neuropsychological assessments, and peripheral blood biomarkers. Both unimodal and multimodal machine learning models were trained to classify groups and to predict individual variation in symptom expression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Functional brain connectivity achieved the highest accuracy for diagnostic classification and symptom prediction (with a mean balanced classification accuracy (bACC) of 68.7%), whereas task-based fMRI with disorder-specific food stimuli and peripheral blood biomarkers best distinguished BN from BED (mean bACC of 87%). Multimodal models did not generally outperform the best unimodal approaches, except from modest gains in a limited set of regression targets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings suggest that functional brain connectivity carries robust predictive information for transdiagnostic classification, whereas task-evoked activation patterns and peripheral biomarkers show stronger predictive utility for distinguishing BN from BED. Whether these modality-specific patterns reflect underlying neurobiological mechanisms remains to be established in future hypothesis-driven work. Identifying which modalities best represent shared vulnerability vs. symptom-type-dependent variation may help to provide a foundation for a more mechanistic understanding of these disorders.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnins.2026.1803154","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:46:14Z","timestamp":1776059174000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal machine learning reveals neurobiological signatures of binge-type eating disorders"],"prefix":"10.3389","volume":"20","author":[{"given":"Lena","family":"Rommerskirchen","sequence":"first","affiliation":[{"name":"Department of General Internal Medicine, Psychosomatics and Psychotherapy, Centre for Psychosocial Medicine, University Hospital Heidelberg","place":["Heidelberg, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mandy","family":"Skunde","sequence":"additional","affiliation":[{"name":"Department of General Internal Medicine, Psychosomatics and Psychotherapy, Centre for Psychosocial Medicine, University Hospital Heidelberg","place":["Heidelberg, Germany"]},{"name":"Institute of Pathology, University Hospital Heidelberg","place":["Heidelberg, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Bendszus","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, University Hospital Heidelberg","place":["Heidelberg, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfgang","family":"Herzog","sequence":"additional","affiliation":[{"name":"Department of General Internal Medicine, Psychosomatics and Psychotherapy, Centre for Psychosocial Medicine, University Hospital Heidelberg","place":["Heidelberg, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans-Christoph","family":"Friederich","sequence":"additional","affiliation":[{"name":"Department of General Internal Medicine, Psychosomatics and Psychotherapy, Centre for Psychosocial Medicine, University Hospital Heidelberg","place":["Heidelberg, Germany"]},{"name":"DZPG (German Centre for Mental Health \u2013 Partner Site Heidelberg\/Mannheim\/Ulm)","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joe J.","family":"Simon","sequence":"additional","affiliation":[{"name":"Department of General Internal Medicine, Psychosomatics and Psychotherapy, Centre for Psychosocial Medicine, University Hospital Heidelberg","place":["Heidelberg, Germany"]},{"name":"DZPG (German Centre for Mental Health \u2013 Partner Site Heidelberg\/Mannheim\/Ulm)","place":["Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e0279577","DOI":"10.1371\/journal.pone.0279577","article-title":"Orbitofrontal cortex functional connectivity changes in patients with binge eating disorder and bulimia nervosa","volume":"17","author":"Ahn","year":"2022","journal-title":"PLoS ONE"},{"key":"B2","doi-asserted-by":"crossref","DOI":"10.1176\/appi.books.9780890425596","volume-title":"Diagnostic and Statistical Manual of Mental Disorders.","author":"American Psychiatric","year":"2013"},{"key":"B3","doi-asserted-by":"publisher","first-page":"e41513","DOI":"10.2196\/41513","article-title":"Toward individualized prediction of binge-eating episodes based on ecological momentary assessment data: item development and pilot study in patients with bulimia nervosa and binge-eating disorder","volume":"11","author":"Arend","year":"2023","journal-title":"JMIR Med. 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