Development of cortical anatomical properties from early childhood to early adulthood
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Human brain matures in temporal and regional heterogeneity, with some areas matured at early adulthood. In this study, the relationship of cortical structural developments between different cortical sheet regions is systematically analyzed using interregional correlation coefficient and network methods. Specifically, 951 longitudinal T1 brain MR images from 445 healthy subjects with ages from 3 to 20 years old are used. The result shows that the development of cortex reaches a turning point at around 7 years of age: a) the cortical thickness reaches its highest value and also the cortical folding becomes stable at this age; b) both global and local efficiencies of anatomical correlation networks reach the lowest and highest values at this age, respectively; and c) the change of anatomical correlation networks reach the highest level at this age, and the convergence of different anatomical correlation networks starts to decrease from this age. These results might inspire more studies on why there exists a turning point at this age from different viewpoints. For example, is there any change of synaptic pruning, or is it related to the starting of school life? And how can we benefit from this in the real life?
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Structural covariance networks of grey-matter volume and cortical thickness exhibit small-world properties and modular organization at birth and at three years.
“SCNs of grey-matter volume and cortical thickness exhibit small-world properties and modular organization at birth58 and 3 years59.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [59]
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- Authors
- Nie, J., Li, G., & Shen, D.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Shen, Dinggang
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 76
- Pages
- 216-224
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3752662
- OpenAlex
- W2036528467
- Cited by
- 70
- References
- 57
- Citations by year
- 2026: 3 · 2025: 5 · 2023: 5 · 2022: 3 · 2021: 7 · 2020: 2 · 2019: 7 · 2018: 7 · 2017: 4 · 2016: 9 · 2015: 9 · 2014: 9
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute of Child Health and Human Development (N01-HD02-3343)
- National Institute on Drug Abuse
- National Institute of Mental Health (N01-MH9-0002)
- National Institute of Neurological Disorders and Stroke (N01-NS-9-2314, -2315, -2316, -2317, -2319, -2320)
- NIH (EB008374, EB006733, AG041721, EB009634)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- cortical development, brain maturation, cortical thickness, cortical folding, network efficiency, synaptic pruning, childhood to early adulthood, interregional correlation
- MeSH terms
- Adolescent, Cerebral Cortex, Child, Child, Preschool, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Young Adult
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