Brain network coupling associated with cognitive performance varies as a function of a child's environment in the ABCD study.
Brain network coupling associated with cognitive performance varies as a function of a child's environment in the ABCD study.
复制标题
DOI：
10.1038/s41467-021-27336-y
复制
发表时间：
2021-12-10
影响因子：
16.6
通讯作者：
Bunge SA
中科院分区：
文献类型：
--
作者：
Ellwood-Lowe ME;Whitfield-Gabrieli S;Bunge SA
先前的研究表明，对于儿童和成人，两个脑网络（外侧额顶网络（LFPN）和默认模式网络（DMN））之间的较低静息状态功能耦合与认知测试表现有关。然而，导致这一结论的大多数研究都是使用来自高收入背景的非代表性样本进行的，因此需要进一步研究，包括来自更广泛社会经济背景的参与者。在这里，在一项预先注册的研究中，我们分析了ABCD数据集中6839名9-10岁儿童的静息状态fMRI。对于来自贫困家庭的儿童（收入> 25，000美元的四口之家，或收入> 35，000美元的五口之家），我们重复了之前的研究结果;也就是说，我们发现认知测试中的更好表现与较弱的LFPN-DMN耦合相关。对于被定义为贫困家庭的儿童，平均而言，关联的方向是相反的：更好的表现与LFPN-DMN的连接性更强直接相关，尽管存在相当大的差异。在贫困家庭的儿童中，这种关联的方向部分是由他们的环境特征预测的，例如学校类型和父母报告的邻里安全。这些结果突出了在儿童认知发展研究中包括代表性样本的重要性。先前的研究表明，对于儿童和成人来说，认知测试中的更好表现与两个大脑网络之间的功能连接较少之间存在关联。在这里，作者发现，这种关联并不适用于贫困家庭儿童的样本，强调需要更多样化的样本，以将一系列儿童环境纳入发展认知神经科学。
Prior research indicates that lower resting-state functional coupling between two brain networks, lateral frontoparietal network (LFPN) and default mode network (DMN), relates to cognitive test performance, for children and adults. However, most of the research that led to this conclusion has been conducted with non-representative samples of individuals from higher-income backgrounds, and so further studies including participants from a broader range of socioeconomic backgrounds are required. Here, in a pre-registered study, we analyzed resting-state fMRI from 6839 children ages 9–10 years from the ABCD dataset. For children from households defined as being above poverty (family of 4 with income > $25,000, or family of 5+ with income > $35,000), we replicated prior findings; that is, we found that better performance on cognitive tests correlated with weaker LFPN-DMN coupling. For children from households defined as being in poverty, the direction of association was reversed, on average: better performance was instead directionally related to stronger LFPN-DMN connectivity, though there was considerable variability. Among children in households below poverty, the direction of this association was predicted in part by features of their environments, such as school type and parent-reported neighborhood safety. These results highlight the importance of including representative samples in studies of child cognitive development. Previous research suggests that, for children and adults, there is an association between better performance on cognitive tests and less functional connectivity between two brain networks. Here, the authors find that this association does not hold in a sample of children from households in poverty, highlighting the need for more diverse samples to incorporate a range of childhood environments in developmental cognitive neuroscience.
登录
查看更多内容
影响因子：
3.2
作者：
Chai XJ;Ofen N;Gabrieli JD;Whitfield-Gabrieli S
通讯作者：
Whitfield-Gabrieli S
影响因子：
3.3
作者：
Costigan, Catherine L.;Koryzma, Celine M.;Chance, Lauren J.
通讯作者：
Chance, Lauren J.
影响因子：
4.7
作者：
Casey BJ;Cannonier T;Conley MI;Cohen AO;Barch DM;Heitzeg MM;Soules ME;Teslovich T;Dellarco DV;Garavan H;Orr CA;Wager TD;Banich MT;Speer NK;Sutherland MT;Riedel MC;Dick AS;Bjork JM;Thomas KM;Chaarani B;Mejia MH;Hagler DJ Jr;Daniela Cornejo M;Sicat CS;Harms MP;Dosenbach NUF;Rosenberg M;Earl E;Bartsch H;Watts R;Polimeni JR;Kuperman JM;Fair DA;Dale AM;ABCD Imaging Acquisition Workgroup
通讯作者：
ABCD Imaging Acquisition Workgroup
影响因子：
2.6
作者：
Dixon, Matthew L.;Fox, Kieran C. R.;Christoff, Kalina
通讯作者：
Christoff, Kalina
影响因子：
5.2
作者：
Andrews-Hanna JR;Smallwood J;Spreng RN
通讯作者：
Spreng RN