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Spatial heterogeneity and subtypes of functional connectivity development in youth
Hongming Li1,2, Zaixu Cui3, Matthew Cieslak4,5,6
1Center for AI and Data Science for Integrated Diagnostics (AI2D), University of Pennsylvania, Philadelphia, PA, USA. Hongming.Li@pennmedicine.upenn.edu.
This study introduces a regional brain development index to better understand brain maturation. Advanced functional connectivity (FC) development patterns in youth correlate with superior cognitive performance, highlighting regional differences in brain development.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Cognitive Neuroscience
Background:
- Brain age prediction assesses functional connectivity (FC) development.
- Global brain age indices lack spatial heterogeneity information.
- Regional variations in FC maturation are crucial for understanding neurodevelopment.
Purpose of the Study:
- Introduce a regional brain development index for fine-grained FC maturation analysis.
- Investigate spatial variability and subtypes of region-wise FC development.
- Link FC development patterns to cognitive performance and underlying genetic factors.
Main Methods:
- Utilized data from the Philadelphia Neurodevelopmental Cohort (ages 8-23).
- Applied a novel regional brain development index to characterize FC maturation.
- Replicated findings in the Human Connectome Project Development cohort.
Main Results:
- Identified three distinct subtypes of FC developmental patterns.
- Individuals with advanced FC development along the sensorimotor-association axis showed superior cognitive performance.
- Associated FC development with gene expression related to neural differentiation, synaptogenesis, and myelination.
Conclusions:
- Spatial heterogeneity in FC development reflects cortical microstructure and hierarchical organization.
- Regional brain development indices offer a more nuanced understanding of neurocognitive maturation.
- FC development patterns are linked to genetic factors influencing neural development during youth.
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