Childhood socioeconomic status is associated with psychometric intelligence and microstructural brain development.

Adolescent Brain / diagnostic imaging Child Cross-Sectional Studies Diffusion Tensor Imaging Humans Intelligence Japan Psychometrics Social Class

Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
29 04 2021
Historique:
received: 05 06 2020
accepted: 10 03 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 6 8 2021
Statut: epublish

Résumé

Childhood socioeconomic status is robustly associated with various children's cognitive factors and neural mechanisms. Here we show the association of childhood socioeconomic status with psychometric intelligence and mean diffusivity and fractional anisotropy using diffusion tensor imaging at the baseline experiment (N = 285) and longitudinal changes in these metrics after 3.0 ± 0.3 years (N = 223) in a large sample of normal Japanese children (mean age = 11.2 ± 3.1 years). After correcting for confounding factors, cross-sectional and longitudinal analyses show that higher childhood socioeconomic status is associated with greater baseline and baseline to follow-up increase of psychometric intelligence and mean diffusivity in areas around the bilateral fusiform gyrus. These results demonstrate that higher socioeconomic status is associated with higher psychometric intelligence measures and altered microstructural properties in the fusiform gyrus which plays a key role in reading and letter recognition and further augmentation of such tendencies during development. Definitive conclusions regarding the causality of these relationships requires intervention and physiological studies. However, the current findings should be considered when developing and revising policies regarding education.

Identifiants

DOI: 10.1038/s42003-021-01974-w PMID: 33927305 PMC: PMC8084976
pubmed: 33927305
doi: 10.1038/s42003-021-01974-w
pii: 10.1038/s42003-021-01974-w
pmc: PMC8084976
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

470

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Auteurs

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. hikaru.takeuchi.b5@tohoku.ac.jp.
ORCID: 0000-0002-8022-9694

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Nuclear Medicine & Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Kohei Asano (K)

Kokoro Research Center, Kyoto University, Kyoto, Japan.
ORCID: 0000-0001-8902-3804

Michiko Asano (M)

Department of Child and Adolescent Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

Yuko Sassa (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Susumu Yokota (S)

Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.

Yuka Kotozaki (Y)

Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.

Rui Nouchi (R)

Department of Cognitive Health Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Smart Aging Research Center, Tohoku University, Sendai, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Smart Aging Research Center, Tohoku University, Sendai, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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