2016
DOI: 10.1002/brb3.457
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The developing human brain: age‐related changes in cortical, subcortical, and cerebellar anatomy

Abstract: IntroductionThis study is the first to characterize normal development and sex differences across neuroanatomical structures in cortical, subcortical, and cerebellar brain regions in a single large cohort.MethodsOne hundred and ninety‐two magnetic resonance images were examined from 96 typically developing females and 96 age‐matched typically developing males from 4 to 18 years of age. Image segmentation of the cortex was conducted with CIVET, while that of the cerebellum, hippocampi, thalamus, and basal gangl… Show more

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Cited by 84 publications
(55 citation statements)
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“…Vertices-wise correlation between each factor derived from the EFA and surface area measures and convexity measures, for both the amygdala and the hippocampus, were performed using SurfStat (http://www.math.mcgill.ca/keith/surfstat), a statistical tool for analyzing surface-based data, implemented in MATLAB (http://www.mathworks.com).Each analysis used age, sex, and site as covariates, and results were FDR corrected for multiple vertices comparisons for each structure and hemisphere separately. For surface areas analysis only, total surface of the structure was also entered as covariate (Sussman, Leung, Chakravarty, Lerch, & Taylor, 2016). Images were then visualized through the employment of Brain View2.…”
Section: Statistical Analysis: Hippocampus and Amygdalamentioning
confidence: 99%
“…Vertices-wise correlation between each factor derived from the EFA and surface area measures and convexity measures, for both the amygdala and the hippocampus, were performed using SurfStat (http://www.math.mcgill.ca/keith/surfstat), a statistical tool for analyzing surface-based data, implemented in MATLAB (http://www.mathworks.com).Each analysis used age, sex, and site as covariates, and results were FDR corrected for multiple vertices comparisons for each structure and hemisphere separately. For surface areas analysis only, total surface of the structure was also entered as covariate (Sussman, Leung, Chakravarty, Lerch, & Taylor, 2016). Images were then visualized through the employment of Brain View2.…”
Section: Statistical Analysis: Hippocampus and Amygdalamentioning
confidence: 99%
“…La caracterización de los cambios anatómicos que ocurren y el dimorfismo sexual asociado que tienen lugar durante las dos primeras décadas de vida pueden ayudar a comprender los patrones de desarrollo típicos y atípicos y las diferencias de sexo en los trastornos del neurodesarrollo (Sussman, Leung, Chakravarty, Lerch & Taylor, 2016). Estudios previos centrados en el volumen cerebral total han informado de que éste seguía una trayectoria en forma de U invertida: aumentaba muy rápido en la infancia, alcanzaba su punto máximo alrededor de los 10-12 años de edad para declinar posteriormente durante la adolescencia tardía (Lenroot et al, 2007).…”
Section: -El Desarrollo Cerebral Humanounclassified
“…El análisis del volumen del cerebelo reveló un efecto de la edad que seguía una tendencia lineal (lóbulos III, IV, V, VIIIB, IX, Crus I) o una tendencia cuadrática (VI, VIIB, VIIIA) dependiendo de los lóbulos. Se encontró que el volumen del cerebelo total era significativamente menor en mujeres que en hombres, independientemente de la edad (Sussman, Leung, Chakravarty, Lerch & Taylor, 2016).…”
Section: Estudios Posteriores (Infancia-adolescencia)unclassified
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