{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:47:57Z","timestamp":1753876077133,"version":"3.41.2"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Capital\u2019s Funds for Health Improvement and Research","award":["2020\u20134-4115"],"award-info":[{"award-number":["2020\u20134-4115"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82302294","82101566","82271543"],"award-info":[{"award-number":["82302294","82101566","82271543"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"R&D Program of Beijing Municipal Education Commission","award":["KM202411232018"],"award-info":[{"award-number":["KM202411232018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Discovering meaningful brain\u2013clinical patterns would be a significant advancement for elucidating the pathophysiology underlying schizophrenia. In the present study, we analyzed associations between functional brain characters (average functional connectivity strength and its fluctuations) and clinical features (age onset, illness duration, and positive, negative, disorganized, excited, and depressed) using partial least squares. Also, we analyzed the brain\u2013clinical relationship changes after 6-wk of treatment. At baseline, 2 identified latent brain\u2013clinical dimensions collectively accounted for 33.2% of the covariance between clinical data and brain function. The illness onset age and duration significantly contributed to all latent dimensions. The disorganized symptoms contributed to the first latent variable, while the positive and depressed symptoms notably negatively contributed to the second variable. The average functional connectivity strength of first latent variable could positively predict the treatment effect, especially in the positive, negative, excited, and overall symptoms. No significant correlation between average functional connectivity strength and treatment effect was obtained in second latent variable. We also found that functional connectivity and its fluctuations altered after treatment, with similar patterns of brain characteristic alterations across the 2 latent variables. By simultaneously taking into account both clinical manifestations and brain abnormalities, the present results open new avenues for predicting treatment responses in schizophrenia.<\/jats:p>","DOI":"10.1093\/cercor\/bhae461","type":"journal-article","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T03:14:06Z","timestamp":1732763646000},"source":"Crossref","is-referenced-by-count":0,"title":["Brain\u2013clinical pattern alterations after treatment in schizophrenia"],"prefix":"10.1093","volume":"34","author":[{"given":"Rixing","family":"Jing","sequence":"first","affiliation":[{"name":"School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University , No. 12, Qinghe Xiaoying East Road, Haidian District, Beijing 100192,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiandong","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Applied Experimental 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100191,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, 3400 Spruce Street, PA 19104,","place":["United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Lu","sequence":"additional","affiliation":[{"name":"Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Peking University , 51 Huayuanbei Road, Haidian District, Beijing 100191 ,","place":["China"]},{"name":"Peking-Tsinghua Center for Life Sciences and PKU-IDG\/McGovern Institute for Brain Research , No. 5 Yi He Yuan Road, Haidian District, Beijing 100191 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