Longitudinally Mapping Childhood Socioeconomic Status Associations with Cortical and Subcortical Morphology

• DOI: 10.1523/jneurosci.1808-18.2018
• Publication Date: 2018-12-27T01:15:23Z
• Authors: Cassidy L. McDermott; Jakob Seidlitz; Ajay Nadig; Siyuan Liu; Liv S. Clasen; Jonathan D. Blume...; Paul Kirkpatrick ...; François Lalonde; Deanna Greenstein; Raihaan Patel; M. Mallar Chakrav...; Jason P. Lerch; Armin Raznahan
• Keywords: Brain morphometry; Association (psychology)

Childhood socioeconomic status (SES) impacts cognitive development and mental health, but its association with human structural brain is not yet well characterized. Here, we analyzed 1243 longitudinally acquired MRI scans from 623 youth (299 female/324 male) to investigate the relation between SES cortical subcortical morphology ages 5 25 years. We found positive associations total volumes of brain, sheet, four separate structures. These were stable 25. Surface-based shape analysis revealed that higher associated areal expansion lateral prefrontal, anterior cingulate, temporal, superior parietal cortices ventrolateral thalamic, medial amygdalo-hippocampal subregions. Meta-analyses functional imaging data indicate correlates are centered on systems subserving sensorimotor functions, language, memory, emotional processing. further show anatomical variation within a subset these regions partially mediates IQ. Finally, identify neuroanatomical exist above beyond accompanying in Although clearly complex construct likely relates through diverse, nondeterministic processes, our findings elucidate potential mediators outcomes.SIGNIFICANCE STATEMENT has been developmental disparities ability, academic achievement, efforts understand underlying SES-brain relationships ongoing. leverage unique neuroimaging dataset map regional anatomy at high spatiotemporal resolution. find widespread global surface area localize correlations distributed set cortical, Anatomical relationship Our help represent candidate biological substrates for known cognition.