Within the field of developmental cognitive neuroscience there is an increasing interest in studying individual differences in human brain development in order to predict mental health outcomes. So far, however, most longitudinal neuroimaging studies focus on group-level estimates. In this review, we highlight longitudinal neuroimaging studies that have moved beyond group-level estimates to illustrate the heterogeneity in patterns of brain development. We provide practical methodological recommendations on how longitudinal neuroimaging datasets can be used to understand heterogeneity in human brain development. Finally, we address how taking an individual-differences approach in developmental neuroimaging studies could advance our understanding of why some individuals develop mental health disorders.
@article{becht_modeling_2020,
title = {Modeling individual differences in brain development},
volume = {34},
issn = {0006-3223},
doi = {10.31234/osf.io/73byf},
language = {en},
journal = {Biological Psychiatry},
author = {Becht, Andrik I. and Mills, Kathryn L.},
month = nov,
year = {2020},
pages = {101--113}
}