神经质的
自闭症
神经科学
自闭症谱系障碍
亚型
神经影像学
生物
心理学
发展心理学
计算机科学
程序设计语言
作者
Marco Pagani,Valerio Zerbi,Silvia Gini,Filomena Grazia Alvino,Abhishek Banerjee,Andrea Barberis,M. Albert Basson,Yuri Bozzi,Alberto Galbusera,Jacob Ellegood,Michela Fagiolini,Jason P. Lerch,Michela Matteoli,Caterina Montani,Davide Pozzi,Giovanni Provenzano,María Luisa Scattoni,Nicole Wenderoth,Ting Xu,Michael Lombardo
标识
DOI:10.1101/2025.03.04.641400
摘要
It is frequently assumed that the phenotypic heterogeneity in autism spectrum disorder reflects underlying pathobiological variation. However, direct evidence in support of this hypothesis is lacking. Here, we leverage cross-species functional neuroimaging to examine whether variability in brain functional connectivity reflects distinct biological mechanisms. We find that fMRI connectivity alterations in 20 distinct mouse models of autism (n=549 individual mice) can be clustered into two prominent hypo- and hyperconnectivity subtypes. We show that these connectivity profiles are linked to distinct signaling pathways, with hypoconnectivity being associated with synaptic dysfunction, and hyperconnectivity reflecting transcriptional and immune-related alterations. Extending these findings to humans, we identify analogous hypo- and hyperconnectivity subtypes in a large, multicenter resting state fMRI dataset of n=940 autistic and n=1036 neurotypical individuals. Remarkably, hypo- and hyperconnectivity autism subtypes are replicable across independent cohorts (accounting for 25.1% of all autism data), exhibit distinct functional network architecture, are behaviorally dissociable, and recapitulate synaptic and immune mechanisms identified in corresponding mouse subtypes. Our cross-species investigation, thus, decodes the heterogeneity of fMRI connectivity in autism into distinct pathway-specific etiologies, offering a new empirical framework for targeted subtyping of autism.
科研通智能强力驱动
Strongly Powered by AbleSci AI