庞庞 (2024-05-31 21:55):
#paper doi:https://doi.org/10.1038/s41593-023-01259-x Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder 该论文基于ASD患者功能连接和症状的相关情况,将ASD患者分为了三个亚型,并进一步探究了亚型间脑和基因的差异情况。对我而言其在CCA时做的特征筛选、模型验证等比较充分,且基因的部分还用brainspan数据集做了验证,可以参考。
IF:21.200Q1 Nature neuroscience, 2023-04. DOI: 10.1038/s41593-023-01259-x PMID: 36894656
Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder
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Abstract:
The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD) are not well understood. Using a large neuroimaging dataset, we identified three latent dimensions of functional brain network connectivity that predicted individual differences in ASD behaviors and were stable in cross-validation. Clustering along these three dimensions revealed four reproducible ASD subgroups with distinct functional connectivity alterations in ASD-related networks and clinical symptom profiles that were reproducible in an independent sample. By integrating neuroimaging data with normative gene expression data from two independent transcriptomic atlases, we found that within each subgroup, ASD-related functional connectivity was explained by regional differences in the expression of distinct ASD-related gene sets. These gene sets were differentially associated with distinct molecular signaling pathways involving immune and synapse function, G-protein-coupled receptor signaling, protein synthesis and other processes. Collectively, our findings delineate atypical connectivity patterns underlying different forms of ASD that implicate distinct molecular signaling mechanisms.
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