Abstract：
Language aptitude has recently regained interest in cognitive neuroscience. Traditional language aptitude testing included phonemic coding ability, associative memory, grammatical sensitivity and inductive language learning. Moreover, domain-general cognitive abilities are associated with individual differences in language aptitude, together with factors that have yet to be elucidated. Beyond domain-general cognition, it is also likely that aptitude and experience in domain-specific but non-linguistic fields (e.g. music or numerical processing) influence and are influenced by language aptitude. We investigated some of these relationships in a sample of 152 participants, using exploratory graph analysis, across different levels of regularisation, i.e. sensitivity. We carried out a meta cluster analysis in a second step to identify variables that are robustly grouped together. We discuss the data, as well as their meta-network groupings, at a baseline network sensitivity level, and in two analyses, one including and the other excluding dyslexic readers. Our results show a stable association between language and cognition, and the isolation of multilingual language experience, musicality and literacy. We highlight the necessity of a more comprehensive view of language and of cognition as multivariate systems.
摘要：
语言能力最近重新引起了人们对认知神经科学的兴趣。传统的语言能力测试包括音素编码能力，联想记忆，语法敏感性和归纳语言学习。此外，领域-一般认知能力与语言能力的个体差异有关，以及尚未阐明的因素。超越领域-一般认知，在特定领域但非语言领域（例如音乐或数字处理）的能力和经验也可能会影响并受到语言能力的影响。我们在152名参与者的样本中调查了其中一些关系，使用探索性图分析，跨越不同级别的正规化，即灵敏度。我们在第二步中进行了荟萃聚类分析，以确定牢固地分组在一起的变量。我们讨论数据，以及他们的元网络分组，在基线网络灵敏度级别，在两个分析中，一个包括，另一个不包括诵读困难的读者。我们的结果显示语言和认知之间有稳定的联系，以及多语言语言体验的隔离，音乐性和读写能力。我们强调了对语言和认知作为多元系统的更全面的看法的必要性。
