Development and validation of a brain maturation index using longitudinal neuroanatomical scans

B Cao, B Mwangi, KM Hasan, S Selvaraj, CP Zeni… - Neuroimage, 2015 - Elsevier
Background Major psychiatric disorders are increasingly being conceptualized as
'neurodevelopmental', because they are associated with aberrant brain maturation. Several …

A multidimensional neural maturation index reveals reproducible developmental patterns in children and adolescents

M Truelove-Hill, G Erus, V Bashyam… - Journal of …, 2020 - Soc Neuroscience
Adolescence is a time of extensive neural restructuring, leaving one susceptible to atypical
development. Although neural maturation in humans can be measured using functional and …

Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI

K Franke, E Luders, A May, M Wilke, C Gaser - Neuroimage, 2012 - Elsevier
BACKGROUND: Neural development during human childhood and adolescence involves
highly coordinated and sequenced events, characterized by both progressive and …

Prediction of brain maturity based on cortical thickness at different spatial resolutions

BS Khundrakpam, J Tohka, AC Evans… - Neuroimage, 2015 - Elsevier
Several studies using magnetic resonance imaging (MRI) scans have shown developmental
trajectories of cortical thickness. Cognitive milestones happen concurrently with these …

[HTML][HTML] Individual variation underlying brain age estimates in typical development

G Ball, CE Kelly, R Beare, ML Seal - Neuroimage, 2021 - Elsevier
Typical brain development follows a protracted trajectory throughout childhood and
adolescence. Deviations from typical growth trajectories have been implicated in …

BrainAGE as a measure of maturation during early adolescence

LB Whitmore, SJ Weston, KL Mills - Imaging Neuroscience, 2023 - direct.mit.edu
Abstract The Brain-Age Gap Estimation (BrainAGE) is an important new tool that purports to
evaluate brain maturity when used in adolescent populations. However, it is unclear whether …

Use of machine learning to determine deviance in neuroanatomical maturity associated with future psychosis in youths at clinically high risk

Y Chung, J Addington, CE Bearden… - JAMA …, 2018 - jamanetwork.com
Importance Altered neurodevelopmental trajectories are thought to reflect heterogeneity in
the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these …

Brain-predicted age associates with psychopathology dimensions in youths

VL Cropley, Y Tian, K Fernando, C Pantelis… - Biological Psychiatry …, 2021 - Elsevier
Background This study aimed to investigate whether dimensional constructs of
psychopathology relate to variation in patterns of brain development and to determine …

[HTML][HTML] Growth charts of brain morphometry for preschool children

H Zhang, J Li, X Su, Y Hu, T Liu, S Ni, H Li, XN Zuo… - Neuroimage, 2022 - Elsevier
Brain development from 1 to 6 years of age anchors a wide range of functional capabilities
and carries early signs of neurodevelopmental disorders. However, quantitative models for …

Predicting brain age during typical and atypical development based on structural and functional neuroimaging

Q Wang, K Hu, M Wang, Y Zhao, Y Liu… - Human Brain …, 2021 - Wiley Online Library
Exploring typical and atypical brain developmental trajectories is very important for
understanding the normal pace of brain development and the mechanisms by which mental …