4.6 Article

The Speed of Development of Adolescent Brain Age Depends on Sex and Is Genetically Determined

Journal

CEREBRAL CORTEX
Volume 31, Issue 2, Pages 1296-1306

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhaa296

Keywords

brain age; heritability; longitudinal imaging; sex differences; structural brain development

Categories

Funding

  1. Nederlandse Organisatie voor Wetenschappelijk Onderzoek [NWO 51.02.061, NWO 51.02.062, 433-09-220, 480-04-004, 56-464-14192]
  2. FP7 Ideas: European Research Council [ERC-230374]
  3. Universiteit Utrecht

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Children and adolescents exhibit high variability in brain development, with females generally passing through developmental stages earlier than males by up to 1 year. The difference between brain age and chronological age is heritable, as is the change in this difference over time. Reliable brain age predictors can help detect early signs of abnormal brain development and potential risk for neurodevelopmental disorders.
Children and adolescents show high variability in brain development. Brain age-the estimated biological age of an individual brain-can be used to index developmental stage. In a longitudinal sample of adolescents (age 9-23 years), including monozygotic and dizygotic twins and their siblings, structural magnetic resonance imaging scans (N = 673) at 3 time points were acquired. Using brain morphology data of different types and at different spatial scales, brain age predictors were trained and validated. Differences in brain age between males and females were assessed and the heritability of individual variation in brain age gaps was calculated. On average, females were ahead of males by at most 1 year, but similar aging patterns were found for both sexes. The difference between brain age and chronological age was heritable, as was the change in brain age gap over time. In conclusion, females and males show similar developmental (aging) patterns but, on average, females pass through this development earlier. Reliable brain age predictors may be used to detect (extreme) deviations in developmental state of the brain early, possibly indicating aberrant development as a sign of risk of neurodevelopmental disorders.

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