Childhood poverty and the organization of structural brain connectome

Dae Jin Kim, Elysia Poggi Davis, Curt A. Sandman, Laura Glynn, Olaf Sporns, Brian O'Donnell, William P. Hetrick

Research output: Contribution to journalArticle

Abstract

Socioeconomic disadvantage is associated with atypical development in specific brain regions, yet the relation between poverty and whole brain network organization (i.e., the connectome, a set of brain regions connected with neuronal pathways) has not been characterized. Developmental studies indicate that the connectome undergoes rapid change during childhood and is consequently likely to be highly sensitive to both salutary and detrimental influences. We investigated associations between the socioeconomic disparities measured by the income-to-needs ratio (INR) in childhood and structural brain network organization with 144 healthy children between 6 and 11 years of age (mean age = 8 years). INR of girls was positively and logarithmically associated with the extent to which brain networks were efficiently organized, suggesting that girls in more impoverished environments had less efficient brain network organization. Lower INR was associated with network inefficiency in multiple cortical regions including prefrontal cortex, cingulate, and insula, and in subcortical regions including the hippocampus and amygdala. These findings suggest that childhood poverty may result in wide-spread disruptions of the brain connectome among girls, particularly at the lowest INR levels, and are differentially expressed in females and males.

LanguageEnglish (US)
Pages409-416
Number of pages8
JournalNeuroImage
Volume184
DOIs
StatePublished - Jan 1 2019

Fingerprint

Connectome
Poverty
Organizations
Brain
Amygdala
Prefrontal Cortex
Hippocampus

Keywords

  • Brain development
  • Connectome
  • Income-to-needs ratio
  • Poverty
  • Sex differences

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

Kim, D. J., Davis, E. P., Sandman, C. A., Glynn, L., Sporns, O., O'Donnell, B., & Hetrick, W. P. (2019). Childhood poverty and the organization of structural brain connectome. NeuroImage, 184, 409-416. https://doi.org/10.1016/j.neuroimage.2018.09.041

Childhood poverty and the organization of structural brain connectome. / Kim, Dae Jin; Davis, Elysia Poggi; Sandman, Curt A.; Glynn, Laura; Sporns, Olaf; O'Donnell, Brian; Hetrick, William P.

In: NeuroImage, Vol. 184, 01.01.2019, p. 409-416.

Research output: Contribution to journalArticle

Kim, DJ, Davis, EP, Sandman, CA, Glynn, L, Sporns, O, O'Donnell, B & Hetrick, WP 2019, 'Childhood poverty and the organization of structural brain connectome' NeuroImage, vol. 184, pp. 409-416. https://doi.org/10.1016/j.neuroimage.2018.09.041
Kim, Dae Jin ; Davis, Elysia Poggi ; Sandman, Curt A. ; Glynn, Laura ; Sporns, Olaf ; O'Donnell, Brian ; Hetrick, William P. / Childhood poverty and the organization of structural brain connectome. In: NeuroImage. 2019 ; Vol. 184. pp. 409-416.
@article{b89dbe00779b4b3287588c7f43114de2,
title = "Childhood poverty and the organization of structural brain connectome",
abstract = "Socioeconomic disadvantage is associated with atypical development in specific brain regions, yet the relation between poverty and whole brain network organization (i.e., the connectome, a set of brain regions connected with neuronal pathways) has not been characterized. Developmental studies indicate that the connectome undergoes rapid change during childhood and is consequently likely to be highly sensitive to both salutary and detrimental influences. We investigated associations between the socioeconomic disparities measured by the income-to-needs ratio (INR) in childhood and structural brain network organization with 144 healthy children between 6 and 11 years of age (mean age = 8 years). INR of girls was positively and logarithmically associated with the extent to which brain networks were efficiently organized, suggesting that girls in more impoverished environments had less efficient brain network organization. Lower INR was associated with network inefficiency in multiple cortical regions including prefrontal cortex, cingulate, and insula, and in subcortical regions including the hippocampus and amygdala. These findings suggest that childhood poverty may result in wide-spread disruptions of the brain connectome among girls, particularly at the lowest INR levels, and are differentially expressed in females and males.",
keywords = "Brain development, Connectome, Income-to-needs ratio, Poverty, Sex differences",
author = "Kim, {Dae Jin} and Davis, {Elysia Poggi} and Sandman, {Curt A.} and Laura Glynn and Olaf Sporns and Brian O'Donnell and Hetrick, {William P.}",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.neuroimage.2018.09.041",
language = "English (US)",
volume = "184",
pages = "409--416",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Childhood poverty and the organization of structural brain connectome

AU - Kim, Dae Jin

AU - Davis, Elysia Poggi

AU - Sandman, Curt A.

AU - Glynn, Laura

AU - Sporns, Olaf

AU - O'Donnell, Brian

AU - Hetrick, William P.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Socioeconomic disadvantage is associated with atypical development in specific brain regions, yet the relation between poverty and whole brain network organization (i.e., the connectome, a set of brain regions connected with neuronal pathways) has not been characterized. Developmental studies indicate that the connectome undergoes rapid change during childhood and is consequently likely to be highly sensitive to both salutary and detrimental influences. We investigated associations between the socioeconomic disparities measured by the income-to-needs ratio (INR) in childhood and structural brain network organization with 144 healthy children between 6 and 11 years of age (mean age = 8 years). INR of girls was positively and logarithmically associated with the extent to which brain networks were efficiently organized, suggesting that girls in more impoverished environments had less efficient brain network organization. Lower INR was associated with network inefficiency in multiple cortical regions including prefrontal cortex, cingulate, and insula, and in subcortical regions including the hippocampus and amygdala. These findings suggest that childhood poverty may result in wide-spread disruptions of the brain connectome among girls, particularly at the lowest INR levels, and are differentially expressed in females and males.

AB - Socioeconomic disadvantage is associated with atypical development in specific brain regions, yet the relation between poverty and whole brain network organization (i.e., the connectome, a set of brain regions connected with neuronal pathways) has not been characterized. Developmental studies indicate that the connectome undergoes rapid change during childhood and is consequently likely to be highly sensitive to both salutary and detrimental influences. We investigated associations between the socioeconomic disparities measured by the income-to-needs ratio (INR) in childhood and structural brain network organization with 144 healthy children between 6 and 11 years of age (mean age = 8 years). INR of girls was positively and logarithmically associated with the extent to which brain networks were efficiently organized, suggesting that girls in more impoverished environments had less efficient brain network organization. Lower INR was associated with network inefficiency in multiple cortical regions including prefrontal cortex, cingulate, and insula, and in subcortical regions including the hippocampus and amygdala. These findings suggest that childhood poverty may result in wide-spread disruptions of the brain connectome among girls, particularly at the lowest INR levels, and are differentially expressed in females and males.

KW - Brain development

KW - Connectome

KW - Income-to-needs ratio

KW - Poverty

KW - Sex differences

UR - http://www.scopus.com/inward/record.url?scp=85053553797&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053553797&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2018.09.041

DO - 10.1016/j.neuroimage.2018.09.041

M3 - Article

VL - 184

SP - 409

EP - 416

JO - NeuroImage

T2 - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -