… are displayed on a surface rendering of the brain. The … The fcMVPA brain maturity predictor
has its basis in two … connections contributed more to predicting brain maturity (68%) than …

… It has previously been adapted to predict brain maturity in children and adolescents using
structural and resting state-functional MRI data. In this study, we evaluated resting state-…

… We predicted that the fluctuation … predict brain maturity at an individual level. Compared to
group-level fMRI studies, the use of predictive model to make continuously values predictions …

… Additionally, since brain maturation and cognitive development have been shown to be …
brain regions (Shaw et al., 2006), we aim to investigate the top predictors of brain maturity at …

… framework to reliably predict brain maturity in children and adolescents and to provide a
clinically sensitive as well as easy-to-use reference curve of healthy brain maturation. We have …

… Individual-level prediction about brain maturity has the potential to be useful for the …
robust to make an accurate prediction of the maturity of typically developing individuals and be …

… , a method for predicting individual differences in behavior from brain features, can … of
prediction in developmental populations including adolescence, we show that predictive brain-…

… We developed a model that can predict brain maturity in neonates … predicting brain age in
neonates [12, 27]. A recent study developed a deep learning model to predict neonatal brain …

… of the individual differences variability in developmental brain phase as defined by … prediction
error across all ages of just 1.03 years and was most accurate in predicting brain maturity …

… be used to sufficiently predict brain maturity at an individual level… make continuously values
predictions may have implications … accurate predictions regarding an individual brain maturity …