2011
DOI: 10.1016/j.neuron.2011.09.028
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Patterns of Coordinated Anatomical Change in Human Cortical Development: A Longitudinal Neuroimaging Study of Maturational Coupling

Abstract: SUMMARY Understanding of human structural brain development has rapidly advanced in recent years, but remains fundamentally “localizational” in nature. Here, we use 376 longitudinally acquired structural brain scans from 108 typically developing adolescents to conduct the first study of coordinated anatomical change within the developing cortex. Correlation in rates of anatomical change was regionally heterogeneous, with fronto-temporal association cortices showing the strongest and most widespread maturationa… Show more

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Cited by 302 publications
(267 citation statements)
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References 74 publications
(135 reference statements)
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“…We note that there is increasing evidence to suggest that differences in cortical thickness may also be related to underlying differences in white matter connectivity (Lerch et al, 2006;Raznahan et al, 2011). Future research should combine complementary, multimodal structural (e.g.…”
Section: Limitations and Future Directionsmentioning
confidence: 89%
“…We note that there is increasing evidence to suggest that differences in cortical thickness may also be related to underlying differences in white matter connectivity (Lerch et al, 2006;Raznahan et al, 2011). Future research should combine complementary, multimodal structural (e.g.…”
Section: Limitations and Future Directionsmentioning
confidence: 89%
“…Large-scale developmental studies in typically developing individuals that include both cross-sectional and longitudinal data show that after a period of growth in early childhood, grey matter thinning occurs across the entire cortex in adolescence (Raznahan, Shaw, et al, 2011;Raznahan, Lerch, et al, 2011;Shaw et al, 2008). To our knowledge, no longitudinal studies in individuals with ASD have examined cortical thickness development across a wide age-range.…”
Section: Introductionmentioning
confidence: 99%
“…For example, modern methods for cortical morphometry measure cortical thickness, surface area, volume, curvature and sulcal depth relative to the brain hull at tens of thousands of points across the cortical mantle in a single scan. It has become clear that these diverse metrics follow distinct developmental trajectories in health 163 , which reflect non-overlapping sets of genetic and environmental influences 18 , but can be inter-related in a spatiotemporally specific manner 164 . These normative observations carry major consequences for the optimal design of structural neuroimaging analysis in clinical populations, because conclusions regarding the presence and regional distribution of cortical abnormalities in a given genetic disorder can vary greatly across different morphometric features 159 .…”
Section: Box 2: Population Neurosciencementioning
confidence: 99%
“…Thus, patterns of structural covariance are known to vary over childhood and adolescence 50 , track inter-individual differences in cognitive ability 167 , be altered by disease processes 168 , and recapitulate patterns of maturational coupling 163 , inter-regional connectivity and coordinated functional activation within the human brain 169,170 . Crucially, normative patterns of anatomical covariation in the human brain appear to constrain the spatial distribution of disease effects 168,171 , which advances our ability to assay and interpret structural neuroimaging phenotypes in clinical populations.…”
Section: Box 2: Population Neurosciencementioning
confidence: 99%