2022
DOI: 10.1016/j.bpsc.2021.07.002
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Early Childhood Socioeconomic Status and Cognitive and Adaptive Outcomes at the Transition to Adulthood: The Mediating Role of Gray Matter Development Across Five Scan Waves

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Cited by 20 publications
(24 citation statements)
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“…In this meta-analysis, socioeconomic disadvantage encompassed poverty and ecological concomitants (e.g., neighborhood deprivation and crime). These results are consistent with longitudinal work showing attenuated temporal-limbic growth throughout childhood (Barch et al, 2021;Whittle et al, 2017) and faster cortical thinning (Piccolo et al, 2016) in relation to socioeconomic disadvantage. Similar to prior work on cortical surface area (Noble et al, 2015), socioeconomic disadvantage (vs. no exposure) was also associated with smaller prefrontal and parietal structures in this meta-analysis despite no age-related differences.…”
Section: Discussionsupporting
confidence: 90%
“…In this meta-analysis, socioeconomic disadvantage encompassed poverty and ecological concomitants (e.g., neighborhood deprivation and crime). These results are consistent with longitudinal work showing attenuated temporal-limbic growth throughout childhood (Barch et al, 2021;Whittle et al, 2017) and faster cortical thinning (Piccolo et al, 2016) in relation to socioeconomic disadvantage. Similar to prior work on cortical surface area (Noble et al, 2015), socioeconomic disadvantage (vs. no exposure) was also associated with smaller prefrontal and parietal structures in this meta-analysis despite no age-related differences.…”
Section: Discussionsupporting
confidence: 90%
“…The structural data (T1w, T2w scans) were processed using HCP pipelines and FreeSurfer as described previously (Barch et al, 2022) to create the prerequisite anatomical information expected by FreeSurfer's TRACULA tool (Yendiki et al, 2011; Yendiki, Koldewyn, et al, 2014; Yendiki, Reuber, et al, 2014) for automatic construction of white‐matter pathways from dMRI data. The diffusion data were preprocessed using the “DiffusionPreprocessing” stream of HCP Pipelines (v4.0.1) (Glasser et al, 2013, 2016) followed by processing using TRACULA (from FreeSurfer v6.0) which included application of FSL's “bedpostx” (Behrens et al, 2007; Hernandez‐Fernandez et al, 2019) to estimate the diffusion distribution at each voxel.…”
Section: Methodsmentioning
confidence: 99%
“…income level, access to resources, parental stress, parental education) may directly or indirectly impact the developing brain, especially during the first year of life (Farah, 2018;Noble et al, 2015). For example, in structural brain imaging studies, lower levels of family income are associated with reduced volume in multiple areas of the brain that mediate language, memory, and executive functioning (reviewed in Barch et al, 2022;Farah, 2018;Noble et al, 2015).…”
Section: Introductionmentioning
confidence: 99%