Author
Listed:
- Weiyan Yin
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Tengfei Li
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Zhengwang Wu
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Sheng-Che Hung
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Dan Hu
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Yiding Gui
(University of North Carolina at Chapel Hill
Shanghai Jiao Tong University)
- Seoyoon Cho
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Yue Sun
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill and North Carolina State University)
- Mackenzie Allan Woodburn
(University of North Carolina at Chapel Hill)
- Li Wang
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Gang Li
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Joseph Piven
(University of North Carolina at Chapel Hill)
- Jed T. Elison
(University of Minnesota)
- Changwei W. Wu
(Taipei Medical University)
- Hongtu Zhu
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
- Jessica R. Cohen
(University of North Carolina at Chapel Hill)
- Weili Lin
(University of North Carolina at Chapel Hill
University of North Carolina at Chapel Hill)
Abstract
Early childhood is crucial for brain functional development. Using advanced neuroimaging methods, characterizing functional connectivity has shed light on the developmental process in infants. However, insights into spatiotemporal functional maturation from birth to early childhood are substantially lacking. In this study, we aggregated 1,091 resting-state functional MRI scans of typically developing children from birth to 6 years of age, harmonized the cohort and imaging-state-related bias, and delineated developmental charts of functional connectivity within and between canonical brain networks. These charts revealed potential neurodevelopmental milestones and elucidated the complex development of brain functional integration, competition and transition processes. We further determined that individual deviations from normative growth charts are significantly associated with infant cognitive abilities. Specifically, connections involving the primary, default, control and attention networks were key predictors. Our findings elucidate early neurodevelopment and suggest that functional connectivity-derived brain charts may provide an effective tool to monitor normative functional development.
Suggested Citation
Weiyan Yin & Tengfei Li & Zhengwang Wu & Sheng-Che Hung & Dan Hu & Yiding Gui & Seoyoon Cho & Yue Sun & Mackenzie Allan Woodburn & Li Wang & Gang Li & Joseph Piven & Jed T. Elison & Changwei W. Wu & H, 2025.
"Charting brain functional development from birth to 6 years of age,"
Nature Human Behaviour, Nature, vol. 9(6), pages 1246-1259, June.
Handle:
RePEc:nat:nathum:v:9:y:2025:i:6:d:10.1038_s41562-025-02160-2
DOI: 10.1038/s41562-025-02160-2
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