000169234 001__ 169234
000169234 005__ 20260223164759.0
000169234 0247_ $$2doi$$a10.1016/j.neuroimage.2026.121775
000169234 0248_ $$2sideral$$a148292
000169234 037__ $$aART-2026-148292
000169234 041__ $$aeng
000169234 100__ $$aJiang, Hongxiu
000169234 245__ $$aMorphometric dissimilarity in association cortices linked to autism subtype with more severe symptoms
000169234 260__ $$c2026
000169234 5060_ $$aAccess copy available to the general public$$fUnrestricted
000169234 5203_ $$aAutism spectrum disorder (ASD) is a prevalent and heterogeneous neurodevelopmental condition marked by atypical brain connectivity. Understanding ASD neural subtypes at the network level is critical for clarifying its neuroanatomical heterogeneity. Morphometric similarity networks (MSNs), derived from region-to-region similarity across multiple anatomical features, offer a powerful approach for capturing individual-level neural architecture. In this study, MSNs were estimated from seven anatomical features in 348 individuals with ASD and 452 typically developing (TD) controls. Across all ASD participants, the first principal component of MSN values was negatively correlated with social and communication severity. Three ASD subtypes with distinct MSN patterns were identified. Subtype-1, characterized by weaker morphometric similarity values in frontotemporal association regions compared to TD individuals, exhibited the most severe symptoms in social, communication and repetitive behaviors, and displayed hyperconnectivity between the salience and visual networks, and between language and visual networks. Subtype-2 showed greater values of morphometric similarities than TD and
less severe social symptoms compared to subtype-1, along with hyperconnectivity between default and salience networks relative to TD. Subtype-3 displayed morphometric similarity values largely comparable to TD and the least severe symptoms out of the three subtypes. Transcriptomic analysis revealed that GABAergic parvalbumin and glutamatergic intratelencephalic-projecting neurons were key cell types differentiating subtypes. These findings suggest the existence of distinct ASD neuroanatomical subtypes defined by regional morphometric similarity, each linked to unique behavioral, functional, and transcriptomic profiles. Morphometric dissimilarity in association regions may serve as a neural signature for ASD subtypes characterized by more severe clinical manifestations.
000169234 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000169234 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000169234 700__ $$aRodriguez-Cruces, Raul
000169234 700__ $$aXie, Ke
000169234 700__ $$aKebets, Valeria
000169234 700__ $$aWang, Yezhou
000169234 700__ $$aWeber, Clara F.
000169234 700__ $$aHe, Ying
000169234 700__ $$aKember, Jonah
000169234 700__ $$aSweatman, Hilary
000169234 700__ $$0(orcid)0000-0003-2461-8588$$aGracia Tabuenca, Zeus$$uUniversidad de Zaragoza
000169234 700__ $$aPoline, Jean-Baptiste
000169234 700__ $$aBzdok, Danilo
000169234 700__ $$aHong, Seok-Jun
000169234 700__ $$aBernhardt, Boris
000169234 700__ $$aChai, Xiaoqian
000169234 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000169234 773__ $$g328 (2026), 121775 [10 pp.]$$pNeuroImage$$tNEUROIMAGE$$x1053-8119
000169234 8564_ $$s5588805$$uhttps://zaguan.unizar.es/record/169234/files/texto_completo.pdf$$yVersión publicada
000169234 8564_ $$s2357595$$uhttps://zaguan.unizar.es/record/169234/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000169234 909CO $$ooai:zaguan.unizar.es:169234$$particulos$$pdriver
000169234 951__ $$a2026-02-23-14:55:03
000169234 980__ $$aARTICLE