Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain’s transmodal axis

Cleanthis Michael, Aman Taxali, Mike Angstadt, Omid Kardan, Alexander Weigard, M Fiona Molloy, Katherine L McCurry, Luke W Hyde, Mary M Heitzeg, Chandra Sripada
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Abstract

Socioeconomic resources (SER) calibrate the developing brain to the current context, which can confer or attenuate risk for psychopathology across the lifespan. Recent multivariate work indicates that SER levels powerfully relate to intrinsic functional connectivity patterns across the entire brain. Nevertheless, the neuroscientific meaning of these widespread neural differences remains poorly understood, despite its translational promise for early risk identification, targeted intervention, and policy reform. In the present study, we leverage graph theory to precisely characterize multivariate and univariate associations between SER across household and neighborhood contexts and the intrinsic functional architecture of brain regions in 5,821 youth (9-10 years) from the Adolescent Brain Cognitive Development StudySM. First, we establish that decomposing the brain into profiles of integration and segregation captures more than half of the multivariate association between SER and functional connectivity with greater parsimony (100-fold reduction in number of features) and interpretability. Second, we show that the topological effects of SER are not uniform across the brain; rather, higher SER levels are associated with greater integration of somatomotor and subcortical systems, but greater segregation of default mode, orbitofrontal, and cerebellar systems. Finally, we demonstrate that topological associations with SER are spatially patterned along the unimodal-transmodal gradient of brain organization. These findings provide critical interpretive context for the established and widespread associations between SER and brain organization. This study highlights both higher-order and somatomotor networks that are differentially implicated in environmental stress, disadvantage, and opportunity in youth.
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青少年的社会经济资源与大脑跨模态轴网络整合/隔离的不同模式有关
社会经济资源(SER)能使发育中的大脑适应当前的环境,从而在整个生命周期中增加或减少精神病理学的风险。最近的多变量研究表明,社会经济资源水平与整个大脑的内在功能连接模式密切相关。然而,人们对这些广泛的神经差异的神经科学意义仍然知之甚少,尽管它有望转化为早期风险识别、针对性干预和政策改革的工具。在本研究中,我们利用图论精确描述了《青少年大脑认知发展研究》(Adolescent Brain Cognitive Development StudySM)中 5821 名青少年(9-10 岁)在家庭和邻里环境中的 SER 与大脑区域内在功能结构之间的多变量和单变量关联。首先,我们发现,将大脑分解为整合和分离特征,可以捕捉到 SER 和功能连接性之间一半以上的多元关联,同时具有更高的解析性(特征数量减少 100 倍)和可解释性。其次,我们证明了 SER 的拓扑效应在整个大脑中并不一致;相反,SER 水平越高,躯体运动系统和皮层下系统的整合程度越高,但默认模式、眶额叶和小脑系统的分离程度越高。最后,我们证明了与 SER 的拓扑关联是沿着大脑组织的单模态-跨模态梯度空间模式化的。这些发现为 SER 与大脑组织之间已建立的广泛联系提供了重要的解释背景。这项研究强调了高阶网络和躯体运动网络与青少年的环境压力、劣势和机遇之间的不同关联。
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