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Exploring neural correlates of behavioral and academic resilience among children in poverty

Children in poverty must contend with systems that do not meet their needs. We explored what, at a neural level, helps explain children’s resilience in these contexts. Lower coupling between lateral frontoparietal network (LFPN) and default mode network (DMN)—linked, respectively, to externally- and...

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Published in:Developmental cognitive neuroscience 2022-04, Vol.54, p.101090, Article 101090
Main Authors: Ellwood-Lowe, M.E., Irving, C.N., Bunge, S.A.
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creator Ellwood-Lowe, M.E.
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description Children in poverty must contend with systems that do not meet their needs. We explored what, at a neural level, helps explain children’s resilience in these contexts. Lower coupling between lateral frontoparietal network (LFPN) and default mode network (DMN)—linked, respectively, to externally- and internally-directed thought—has previously been associated with better cognitive performance. However, we recently found the opposite pattern for children in poverty. Here, we probed ecologically-valid assessments of performance. In a pre-registered study, we investigated trajectories of network coupling over ages 9–13 and their relation to school grades and attention problems. We analyzed longitudinal data from ABCD Study (N = 8366 children at baseline; 1303 below poverty). The link between cognitive performance and grades was weaker for children in poverty, highlighting the importance of ecologically-valid measures. As predicted, higher LFPN-DMN connectivity was linked to worse grades and attentional problems for children living above poverty, while children below poverty showed opposite tendencies. This interaction between LFPN-DMN connectivity and poverty related to children’s grades two years later; however, it was attenuated when controlling for baseline grades and was not related to attention longitudinally. Together, these findings suggest network connectivity is differentially related to performance in real-world settings for children above and below poverty.
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As predicted, higher LFPN-DMN connectivity was linked to worse grades and attentional problems for children living above poverty, while children below poverty showed opposite tendencies. This interaction between LFPN-DMN connectivity and poverty related to children’s grades two years later; however, it was attenuated when controlling for baseline grades and was not related to attention longitudinally. 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As predicted, higher LFPN-DMN connectivity was linked to worse grades and attentional problems for children living above poverty, while children below poverty showed opposite tendencies. This interaction between LFPN-DMN connectivity and poverty related to children’s grades two years later; however, it was attenuated when controlling for baseline grades and was not related to attention longitudinally. 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As predicted, higher LFPN-DMN connectivity was linked to worse grades and attentional problems for children living above poverty, while children below poverty showed opposite tendencies. This interaction between LFPN-DMN connectivity and poverty related to children’s grades two years later; however, it was attenuated when controlling for baseline grades and was not related to attention longitudinally. Together, these findings suggest network connectivity is differentially related to performance in real-world settings for children above and below poverty.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>35248821</pmid><doi>10.1016/j.dcn.2022.101090</doi><oa>free_for_read</oa></addata></record>
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subjects Adaptation
Adolescent
Attention
Brain
Brain development
Brain Mapping
Brain networks
Child
Cognitive
Environment
Functional connectivity
Humans
Magnetic Resonance Imaging
Neural Pathways
Original Research
Poverty
Socioeconomic status
title Exploring neural correlates of behavioral and academic resilience among children in poverty
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