State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875, Beijing, China.
Faculty of Psychology, Tianjin Normal University, 300387, Tianjin, China.
Nat Commun. 2022 Aug 6;13(1):4588. doi: 10.1038/s41467-022-32383-0.
One central mission of cognitive neuroscience is to understand the ontology of complex cognitive functions. We addressed this question with a cognitive neurogenetic approach using a large-scale dataset of executive functions (EFs), whole-brain resting-state functional connectivity, and genetic polymorphisms. We found that the bifactor model with common and shifting-specific components not only was parsimonious but also showed maximal dissociations among the EF components at behavioral, neural, and genetic levels. In particular, the genes with enhanced expression in the middle frontal gyrus (MFG) and the subcallosal cingulate gyrus (SCG) showed enrichment for the common and shifting-specific component, respectively. Finally, High-dimensional mediation models further revealed that the functional connectivity patterns significantly mediated the genetic effect on the common EF component. Our study not only reveals insights into the ontology of EFs and their neurogenetic basis, but also provides useful tools to uncover the structure of complex constructs of human cognition.
认知神经科学的一个核心任务是理解复杂认知功能的本体论。我们使用执行功能 (EFs) 的大规模数据集、全脑静息状态功能连接和遗传多态性,采用认知神经遗传学方法来解决这个问题。我们发现,具有共同和转移特异性成分的双因素模型不仅简洁,而且在行为、神经和遗传水平上显示出 EF 成分之间的最大分离。特别是,在中间额回 (MFG) 和胼胝下扣带回 (SCG) 中表达增强的基因分别对共同和转移特异性成分表现出富集。最后,高维中介模型进一步揭示了功能连接模式显著介导了遗传效应对共同 EF 成分的影响。我们的研究不仅揭示了对 EF 的本体论及其神经遗传学基础的深入了解,而且还提供了有用的工具来揭示人类认知复杂结构的结构。