Moodie Joanna E, Buchanan Colin, Furtjes Anna, Conole Eleanor, Stolicyn Aleks, Corley Janie, Ferguson Karen, Hernandez Maria Valdes, Maniega Susana Munoz, Russ Tom C, Luciano Michelle, Whalley Heather, Bastin Mark E, Wardlaw Joanna, Deary Ian, Cox Simon
Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK.
Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
bioRxiv. 2024 Dec 18:2024.12.17.628670. doi: 10.1101/2024.12.17.628670.
In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning ()? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise -cortical morphometry (volume, surface area, thickness, curvature and sulcal depth) associations using data from 3 cohorts: the UK Biobank (UKB), Generation Scotland (GenScot), and the Lothian Birth Cohort 1936 (LBC1936), with the meta-analytic = 38,379 (age range = 44 to 84 years old). These -morphometry associations vary in magnitude and direction across the cortex (|β| range = -0.12 to 0.17 across morphometry measures) and show good cross-cohort agreement (mean spatial correlation = 0.57, = 0.18). Then, to address (2), we bring together existing - and derive new - cortical maps of 33 neurobiological characteristics from multiple modalities (including neurotransmitter receptor densities, gene expression, functional connectivity, metabolism, and cytoarchitectural similarity). We discover that these 33 profiles spatially covary along four major dimensions of cortical organisation (accounting for 65.9% of the variance) and denote aspects of neurobiological scaffolding that underpin the spatial patterning of MRI-cognitive associations we observe (significant || range = 0.21 to 0.56). Alongside the cortical maps from these analyses, which we make openly accessible, we provide a compendium of cortex-wide and within-region spatial correlations among general and specific facets of brain cortical organisation and higher order cognitive functioning, which we hope will serve as a framework for analysing other aspects of behaviour-brain MRI associations.
在本文中,我们试图回答两个问题:1)就形态测量学而言,人类大脑的哪些区域与一般领域认知功能的个体差异最为密切相关?以及2)这些区域潜在的神经生物学特性是什么?我们使用来自3个队列的数据进行顶点级皮层形态测量(体积、表面积、厚度、曲率和脑沟深度)关联的元分析:英国生物银行(UKB)、苏格兰世代研究(GenScot)和1936年洛锡安出生队列(LBC1936),元分析样本量为38379人(年龄范围为44至84岁)。这些形态测量关联在整个皮层中的大小和方向各不相同(形态测量指标的|β|范围为 -0.12至0.17),并且显示出良好的跨队列一致性(平均空间相关性 = 0.57,标准差 = 0.18)。然后,为了解决问题(2),我们整合了现有的并从多种模式(包括神经递质受体密度、基因表达、功能连接、代谢和细胞结构相似性)中得出了33种神经生物学特征的新皮层图谱。我们发现,这33种特征在空间上沿着皮层组织的四个主要维度共变(解释了65.9%的方差),并表示了神经生物学支架的各个方面,这些方面支撑着我们观察到的MRI与认知关联的空间模式(显著的|r|范围为0.21至0.56)。除了这些分析得出的可公开获取的皮层图谱外,我们还提供了一份大脑皮层组织和高阶认知功能的一般和特定方面之间全皮层和区域内空间相关性的汇编,我们希望这将作为分析行为与脑MRI关联其他方面的框架。