{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T13:06:37Z","timestamp":1788872797386,"version":"build-2803163510"},"reference-count":47,"publisher":"Wiley","issue":"14","license":[{"start":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T00:00:00Z","timestamp":1766620800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T00:00:00Z","timestamp":1766620800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Autoimmune inflammatory diseases (AIDs) are genetically linked disorders with unclear causal links to brain functional networks. Using bidirectional two\u2010sample Mendelian randomization (MR) on GWAS data from 18 AIDs and 1,366 brain imaging\u2010derived phenotypes (\n                    <jats:italic>n<\/jats:italic>\n                    = 8,428), we identified significant associations, including reduced left striatal activity increasing multiple sclerosis risk (OR = 0.59), left uncinate fasciculus activity elevating systemic lupus erythematosus risk (OR = 3.72), and asymmetric cerebellar peduncle effects in cutaneous vasculitis (left: OR = 0.11; right: OR = 8.57) [exploratory finding with 24.8%\u201337.8% power]. Fibromyalgia suppressed cerebellar area VIIIa (\u03b2 = \u22120.023). Sensitivity analyses, double machine learning, and &gt;99% statistical power supported robustness. These findings suggest alterations in default mode, salience, and central executive networks contribute to AIDs pathogenesis, highlighting brain regions such as the striatum and cerebellar peduncles as potential therapeutic targets.\n                  <\/jats:p>","DOI":"10.1002\/advs.202515675","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T06:23:20Z","timestamp":1766730200000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging\u2010Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases"],"prefix":"10.1002","volume":"13","author":[{"given":"Jinbin","family":"Chen","sequence":"first","affiliation":[{"name":"Dongguan Key Laboratory of Chronic Disease Prevention and Control The First Dongguan Affiliated Hospital School of Public Health Guangdong Medical University  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