Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.

We analyzed the developmental history of the subplate and related cellular compartments of the prenatal and early postnatal human cerebrum by combining postmortem histological analysis with in vivo MRI. Histological analysis was performed on 21 postmortem brains (age range: 26 postconceptional weeks to 6.5 years) using Nissl staining, AChE-histochemistry, PAS-Alcian blue histochemistry, Gallyas' silver impregnation, and immunocytochemistry for MAP2, synaptophysin, neurofilament, chondroitin sulfate, fibronectin, and myelin basic protein. The histological findings were correlated with in vivo MRI findings obtained in 30 age-matched fetuses, infants, and children. We analyzed developmental reorganization of major cellular (cell bodies, growing axons) and extracellular (extracellular matrix) components of the subplate and the developing cortex/white matter interface. We found that perinatal and postnatal reorganization of these tissue components is protracted (extending into the second year of life) and characterized by well-delineated, transient and previously undescribed structural and molecular changes at the cortex/white matter interface. The findings of this study are clinically relevant because they may inform and guide a proper interpretation of highly dynamic and hitherto puzzling changes of cortical thickness and cortical/white matter interface as described in current in vivo MRI studies.

Extreme prematurity and pregnancy conditions leading to intrauterine growth restriction (IUGR) affect thousands of newborns every year and increase their risk for poor higher order cognitive and social skills at school age. However, little is known about the brain structural basis of these disabilities. To compare the structural integrity of neural circuits between prematurely born controls and children born extreme preterm (EP) or with IUGR at school age, long-ranging and short-ranging connections were noninvasively mapped across cortical hemispheres by connection matrices derived from diffusion tensor tractography. Brain connectivity was modeled along fiber bundles connecting 83 brain regions by a weighted characterization of structural connectivity (SC). EP and IUGR subjects, when compared with controls, had decreased fractional anisotropy-weighted SC (FAw-SC) of cortico-basal ganglia-thalamo-cortical loop connections while cortico-cortical association connections showed both decreased and increased FAw-SC. FAw-SC strength of these connections was associated with poorer socio-cognitive performance in both EP and IUGR children.