ArticleDevelopmental cognitive neuroscience2025
Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes.
Article in Developmental cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- The Roles of Delayed Cortical Maturation and Lower Anticipatory Reward Activation in Predicting Addictive Screen Use in Youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Cognitive and affective neurodevelopment in youth exposed to deprivation and threat.bioRxiv : the preprint server for biology · 2026Article
- Neighborhood air pollution is associated with attenuated neurocognitive maturation over early adolescence.Developmental cognitive neuroscience · 2026Article
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Abstract
Adolescence is a period of growth in cognitive performance and functioning. Recently, data-driven measures of brain-age gap, which can index cognitive decline in older populations, have been utilized in adolescent data with mixed findings. Instead of using a data-driven approach, here we assess the maturation status of the brain functional landscape in early adolescence by directly comparing an individual's resting-state functional connectivity (rsFC) to the canonical early-life and adulthood communities. Specifically, we hypothesized that the degree to which a youth's connectome is better captured by adult networks compared to infant/toddler networks is predictive of their cognitive development. To test this hypothesis across individuals and longitudinally, we utilized the Adolescent Brain Cognitive Development (ABCD) Study at baseline (9-10 years; n = 6469) and 2-year-follow-up (Y2: 11-12 years; n = 5060). Adjusted for demographic factors, our anchored rsFC score (AFC) was associated with better task performance both across and within participants. AFC was related to age and aging across youth, and change in AFC statistically mediated the age-related change in task performance. In conclusion, we showed that a model-fitting-free index of the brain at rest that is anchored to both adult and baby connectivity landscapes predicts cognitive performance and development in youth.
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