Grey and white matter volumes in early childhood: A comparison of voxel-based morphometry pipelines.
Development
Early childhood
MRI
Voxel-based morphometry
Journal
Developmental cognitive neuroscience
ISSN: 1878-9307
Titre abrégé: Dev Cogn Neurosci
Pays: Netherlands
ID NLM: 101541838
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
29
07
2019
revised:
10
09
2020
accepted:
21
10
2020
pubmed:
10
11
2020
medline:
23
2
2021
entrez:
9
11
2020
Statut:
ppublish
Résumé
Early childhood is an important period of sensory, motor, cognitive and socio-emotional maturation, yet relatively little is known about the brain changes specific to this period. Voxel-based morphometry (VBM) is a technique to estimate regional brain volumes from magnetic resonance (MR) images. The default VBM processing pipeline can be customized to increase accuracy of segmentation and normalization, yet the impact of customizations on analyses in young children are not clear. Here, we assessed the impact of different preprocessing steps on T1-weighted MR images from typically developing children in two separate cohorts. Data were processed with the Computational Anatomy Toolbox (CAT12), using seven different VBM pipelines with distinct combinations of tissue probability maps (TPMs) and DARTEL templates created using the Template-O-Matic, and CerebroMatic. The first cohort comprised female children aged 3.9-7.9 years (N = 62) and the second included boys and girls aged 2.7-8 years (N = 74). We found that pipelines differed significantly in their tendency to classify voxels as grey or white matter and the conclusions about some age effects were pipeline-dependent. Our study helps to both understand age-associations in grey and white matter volume across early childhood and elucidate the impact of VBM customization on brain volumes in this age range.
Identifiants
pubmed: 33166899
pii: S1878-9293(20)30125-0
doi: 10.1016/j.dcn.2020.100875
pmc: PMC7652784
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100875Subventions
Organisme : CIHR
Pays : Canada
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.