Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada.
Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.
Nat Commun. 2024 Mar 26;15(1):2639. doi: 10.1038/s41467-024-46784-w.
Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We designed a pattern-learning approach to dissect the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior data fusion highlights the consequences of genetically controlled brain lateralization on uniquely human cognitive capacities.
大脑左右半球的不对称性是其组织的一个关键特征。半球功能特化是人类一些最先进的认知活动的基础,例如语言表达、换位思考或对面部线索的快速检测。然而,对大脑不对称性的遗传研究主要依赖于常见变异,这些变异通常对与大脑相关的表型只有微小的影响。在这里,我们利用罕见的基因组缺失和重复来研究遗传改变如何在人类大脑和行为中产生反响。我们设计了一种模式学习方法,以剖析 8 种高效应大小的拷贝数变异 (CNV) 在多地点队列中的 552 名 CNV 携带者和 290 名非携带者中对大脑不对称性的影响。孤立的多元大脑不对称模式突出了通常被认为具有侧化功能的区域,包括语言、听觉以及视觉、面部和单词识别。颞平面的不对称性似乎特别容易受到特定基因集的缺失和重复的影响。通过全基因组关联研究 (GWAS) 对常见变异的靶向分析,整合了对右颞平面结构和左颞平面结构具有部分不同遗传影响的因素。总之,我们的基因-大脑-行为数据融合强调了受遗传控制的大脑侧化对人类独特认知能力的影响。