A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in …

B Aubert-Broche, VS Fonov, D García-Lorenzo… - Neuroimage, 2013 - Elsevier
Cross-sectional analysis of longitudinal anatomical magnetic resonance imaging (MRI) data
may be suboptimal as each dataset is analyzed independently. In this study, we evaluate …

Prediction of brain maturity in infants using machine-learning algorithms

CD Smyser, NUF Dosenbach, TA Smyser, AZ Snyder… - NeuroImage, 2016 - Elsevier
Recent resting-state functional MRI investigations have demonstrated that much of the large-
scale functional network architecture supporting motor, sensory and cognitive functions in …

EEG‐based age‐prediction models as stable and heritable indicators of brain maturational level in children and adolescents

MM Vandenbosch, D van't Ent… - Human brain …, 2019 - Wiley Online Library
The human brain shows remarkable development of functional brain activity from childhood
to adolescence. Here, we investigated whether electroencephalogram (EEG) recordings are …

Imaging patterns of brain development and their relationship to cognition

G Erus, H Battapady, TD Satterthwaite… - Cerebral …, 2015 - academic.oup.com
We present a brain development index (BDI) that concisely summarizes complex imaging
patterns of structural brain maturation along a single dimension using a machine learning …

Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds

M Choe, S Ortiz-Mantilla, N Makris, M Gregas… - Cerebral …, 2013 - academic.oup.com
Elucidation of infant brain development is a critically important goal given the enduring
impact of these early processes on various domains including later cognition and language …

[HTML][HTML] Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure

D Carey, F Caprini, M Allen, A Lutti, N Weiskopf… - Neuroimage, 2018 - Elsevier
Measuring the structural composition of the cortex is critical to understanding typical
development, yet few investigations in humans have charted markers in vivo that are …

[HTML][HTML] Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth

P Galdi, M Blesa, DQ Stoye, G Sullivan, GJ Lamb… - NeuroImage: Clinical, 2020 - Elsevier
Multi-contrast MRI captures information about brain macro-and micro-structure which can be
combined in an integrated model to obtain a detailed “fingerprint” of the anatomical …

Early assessment of brain maturation by MR imaging segmentation in neonates and premature infants

A Zacharia, S Zimine, KO Lovblad… - American journal …, 2006 - Am Soc Neuroradiology
PURPOSE: We evaluated the impact of premature extrauterine life on brain maturation.
PATIENTS AND METHODS: Twelve neonates underwent MR imaging at 40 (39.64±0.98) …

The speed of development of adolescent brain age depends on sex and is genetically determined

RM Brouwer, J Schutte, R Janssen… - Cerebral …, 2021 - academic.oup.com
Children and adolescents show high variability in brain development. Brain age—the
estimated biological age of an individual brain—can be used to index developmental stage …

Age-specific MRI templates for pediatric neuroimaging

CE Sanchez, JE Richards, CR Almli - Developmental …, 2012 - Taylor & Francis
This study created a database of pediatric age-specific magnetic resonance imaging (MRI)
brain templates for normalization and segmentation. Participants included children from 4.5 …