A global multicohort study to map subcortical brain development and cognition in infancy and early childhood

Ann M. Alex, Fernando Aguate, Kelly Botteron, Claudia Buss, Yap Seng Chong, Stephen R. Dager, Kirsten A. Donald, Sonja Entringer, Damien A. Fair, Marielle V. Fortier, Nadine Gaab, John H. Gilmore, Jessica B. Girault, Alice M. Graham, Nynke A. Groenewold, Heather Hazlett, Weili Lin, Michael J. Meaney, Joseph Piven, Anqi QiuJerod M. Rasmussen, Annerine Roos, Robert T. Schultz, Michael A. Skeide, Dan J. Stein, Martin Styner, Paul M. Thompson, Ted K. Turesky, Pathik D. Wadhwa, Heather J. Zar, Lilla Zöllei, Gustavo de los Campos, Rebecca C. Knickmeyer

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

The human brain grows quickly during infancy and early childhood, but factors influencing brain maturation in this period remain poorly understood. To address this gap, we harmonized data from eight diverse cohorts, creating one of the largest pediatric neuroimaging datasets to date focused on birth to 6 years of age. We mapped the developmental trajectory of intracranial and subcortical volumes in ∼2,000 children and studied how sociodemographic factors and adverse birth outcomes influence brain structure and cognition. The amygdala was the first subcortical volume to mature, whereas the thalamus exhibited protracted development. Males had larger brain volumes than females, and children born preterm or with low birthweight showed catch-up growth with age. Socioeconomic factors exerted region- and time-specific effects. Regarding cognition, males scored lower than females; preterm birth affected all developmental areas tested, and socioeconomic factors affected visual reception and receptive language. Brain–cognition correlations revealed region-specific associations.

Original languageEnglish
Pages (from-to)176-186
Number of pages11
JournalNature Neuroscience
Volume27
Issue number1
DOIs
Publication statusPublished - 23 Nov 2023

ASJC Scopus subject areas

  • General Neuroscience

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