Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 EN, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands; Department of Human Genetics, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EN, Nijmegen, The Netherlands; Department of Human Genetics, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Neuroimage. 2020 Mar;208:116409. doi: 10.1016/j.neuroimage.2019.116409. Epub 2019 Nov 27.
Investigating the contribution of biology to human cognition has assumed a bottom-up causal cascade where genes influence brain systems that activate, communicate, and ultimately drive behavior. Yet few studies have directly tested whether cognitive traits with overlapping genetic underpinnings also rely on overlapping brain systems. Here, we report a step-wise exploratory analysis of genetic and functional imaging overlaps among cognitive traits. We used twin-based genetic analyses in the human connectome project (HCP) dataset (N = 486), in which we quantified the heritability of measures of cognitive functions, and tested whether they were driven by common genetic factors using pairwise genetic correlations. Subsequently, we derived activation maps associated with cognitive tasks via functional imaging meta-analysis in BrainMap (N = 4484), and tested whether cognitive traits that shared genetic variation also exhibited overlapping brain activation. Our genetic analysis determined that six cognitive measures (cognitive flexibility, no-go continuous performance, fluid intelligence, processing speed, reading decoding and vocabulary comprehension) were heritable (0.3 < h < 0.5), and genetically correlated with at least one other heritable cognitive measure (0.2 < ρ < 0.35). The meta-analysis showed that two genetically-correlated traits, cognitive flexibility and fluid intelligence (ρ = 0.24), also had a significant brain activation overlap (ρ = 0.29). These findings indicate that fluid intelligence and cognitive flexibility rely on overlapping biological features, both at the neural systems level and at the molecular level. The cross-disciplinary approach we introduce provides a concrete framework for data-driven quantification of biological convergence between genetics, brain function, and behavior in health and disease.
研究生物学对人类认知的贡献,采用了一种自下而上的因果级联假设,即基因影响大脑系统,进而激活、传递和最终驱动行为。然而,很少有研究直接测试具有重叠遗传基础的认知特征是否也依赖于重叠的大脑系统。在这里,我们报告了对认知特征的遗传和功能成像重叠进行逐步探索性分析的结果。我们利用人类连接组计划(HCP)数据集(N=486)中的基于双胞胎的遗传分析,量化了认知功能测量的遗传力,并使用成对遗传相关性测试它们是否由共同的遗传因素驱动。随后,我们通过在 BrainMap 中的功能成像荟萃分析(N=4484)得出与认知任务相关的激活图,并测试了遗传变异共享的认知特征是否也表现出重叠的大脑激活。我们的遗传分析确定了六个认知测量(认知灵活性、禁止连续表现、流体智力、加工速度、阅读解码和词汇理解)具有可遗传性(0.3<h<0.5),并且与至少另一个可遗传性认知测量具有遗传相关性(0.2<ρ<0.35)。荟萃分析显示,两个具有遗传相关性的特征,认知灵活性和流体智力(ρ=0.24),也具有显著的大脑激活重叠(ρ=0.29)。这些发现表明,流体智力和认知灵活性依赖于重叠的生物学特征,既在神经系统水平,也在分子水平。我们引入的跨学科方法为在健康和疾病中对遗传学、大脑功能和行为之间的生物学趋同进行数据驱动的定量提供了一个具体的框架。