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The scaled subprofile model of principal component analysis (SSM\u2010PCA) is a data\u2010driven multivariate technique for capturing stable disease\u2010related spatial covariance pattern. Here, SSM\u2010PCA is innovatively applied to obtain robust ASD\u2010related gray matter volume pattern associated with clinical symptoms. We utilized T1\u2010weighted structural MRI images (sMRI) of 576 subjects (288 ASDs and 288 typically developing (TD) controls) aged 7\u201329\u2009years from the Autism Brain Imaging Data Exchange II (ABIDE II) dataset. These images were analyzed with SSM\u2010PCA to identify the ASD\u2010related spatial covariance pattern. Subsequently, we investigated the relationship between the pattern and clinical symptoms and verified its robustness. Then, the applicability of the pattern under different age stages were further explored. The results revealed that the ASD\u2010related pattern primarily involves the thalamus, putamen, parahippocampus, orbitofrontal cortex, and cerebellum. The expression of this pattern correlated with Social Response Scale and Social Communication Questionnaire scores. Moreover, the ASD\u2010related pattern was robust for the ABIDE I dataset. Regarding the applicability of the pattern for different age stages, the effect sizes of its expression in ASD were medium in the children and adults, while small in adolescents. This study identified a robust ASD\u2010related pattern based on gray matter volume that is associated with social deficits. Our findings provide new insights into the neuroanatomical mechanisms of ASD and may facilitate its future intervention.<\/jats:p>","DOI":"10.1002\/aur.3303","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T10:47:54Z","timestamp":1735642074000},"page":"312-324","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Robust Autism Spectrum Disorder\u2010Related Spatial Covariance Gray Matter Pattern Revealed With a Large\u2010Scale Multi\u2010Center Dataset"],"prefix":"10.1002","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1211-9352","authenticated-orcid":false,"given":"Sheng\u2010Zhi","family":"Ma","sequence":"first","affiliation":[{"name":"Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University  Hangzhou China"},{"name":"Institute of Psychological Sciences Hangzhou Normal University  Hangzhou China"},{"name":"Hangzhou Normal 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