The University of Southampton
University of Southampton Institutional Repository

Developmental changes in cerebral grey and white matter volume from infancy to adulthood

Developmental changes in cerebral grey and white matter volume from infancy to adulthood
Developmental changes in cerebral grey and white matter volume from infancy to adulthood
In order to quantify human brain development in vivo, high resolution magnetic resonance images of 158 normal subjects from infancy to young adulthood were studied (age range 3 months–30 years, 71 males, 87 females). Data were analysed using algorithms based on voxel-based morphometry (VBM) (an objective whole brain processing technique) to generate global volume measures of whole brain, grey matter (GM) and white matter (GM). Gender-specific development of WM and GM volumes is characterised using a piecewise polynomial growth curve model to account for the non-linear nature of human brain development, implemented using Markov chain Monte Carlo simulation.

The statistical method employed in this study proved to be successful and robust in the characterisation of brain development. The resulting growth curve parameter estimates lead to the following observations: total brain volume is demonstrated to undergo an initial rapid spurt. The total GM volume peaks during childhood and decreases thereafter, whereas total WM volume increases up to young adulthood. Relative to brain size, GM decreases and WM increases markedly over this age range in a non-linear manner, resulting in an increasing WM-to-GM ratio over much of the observed age range. In addition, significant gender differences are found. In general, brain volume and total white and grey matter volume are larger in males than in females, with a time-dependent difference over the age range studied. Over part of the observed age range females tend to have more GM volume relative to brain size and lower WM-to-GM ratio than males.

The presented findings should be taken into account when investigating physiological and pathological changes during brain development.
volumetry, MRI, neuroscience, development, paediatrics, brain, gender
481-489
Groeschel, S.
bc0b3b1c-84d9-40d8-9651-2333aafcf18f
Vollmer, Brigitte
044f8b55-ba36-4fb2-8e7e-756ab77653ba
King, M. D.
37a16778-bcbc-42a8-8b20-877711785352
Connelly, A.
0cb19e67-b09d-458b-8c30-1e9f8a279887
Groeschel, S.
bc0b3b1c-84d9-40d8-9651-2333aafcf18f
Vollmer, Brigitte
044f8b55-ba36-4fb2-8e7e-756ab77653ba
King, M. D.
37a16778-bcbc-42a8-8b20-877711785352
Connelly, A.
0cb19e67-b09d-458b-8c30-1e9f8a279887

Groeschel, S., Vollmer, Brigitte, King, M. D. and Connelly, A. (2010) Developmental changes in cerebral grey and white matter volume from infancy to adulthood. International Journal of Developmental Neuroscience, 28 (6), 481-489. (doi:10.1016/j.ijdevneu.2010.06.004). (PMID:20600789)

Record type: Article

Abstract

In order to quantify human brain development in vivo, high resolution magnetic resonance images of 158 normal subjects from infancy to young adulthood were studied (age range 3 months–30 years, 71 males, 87 females). Data were analysed using algorithms based on voxel-based morphometry (VBM) (an objective whole brain processing technique) to generate global volume measures of whole brain, grey matter (GM) and white matter (GM). Gender-specific development of WM and GM volumes is characterised using a piecewise polynomial growth curve model to account for the non-linear nature of human brain development, implemented using Markov chain Monte Carlo simulation.

The statistical method employed in this study proved to be successful and robust in the characterisation of brain development. The resulting growth curve parameter estimates lead to the following observations: total brain volume is demonstrated to undergo an initial rapid spurt. The total GM volume peaks during childhood and decreases thereafter, whereas total WM volume increases up to young adulthood. Relative to brain size, GM decreases and WM increases markedly over this age range in a non-linear manner, resulting in an increasing WM-to-GM ratio over much of the observed age range. In addition, significant gender differences are found. In general, brain volume and total white and grey matter volume are larger in males than in females, with a time-dependent difference over the age range studied. Over part of the observed age range females tend to have more GM volume relative to brain size and lower WM-to-GM ratio than males.

The presented findings should be taken into account when investigating physiological and pathological changes during brain development.

This record has no associated files available for download.

More information

Published date: October 2010
Keywords: volumetry, MRI, neuroscience, development, paediatrics, brain, gender

Identifiers

Local EPrints ID: 183825
URI: http://eprints.soton.ac.uk/id/eprint/183825
PURE UUID: d0ddc3a0-a269-4f6e-b1ed-3886149b0b28
ORCID for Brigitte Vollmer: ORCID iD orcid.org/0000-0003-4088-5336

Catalogue record

Date deposited: 04 May 2011 10:06
Last modified: 15 Mar 2024 03:36

Export record

Altmetrics

Contributors

Author: S. Groeschel
Author: M. D. King
Author: A. Connelly

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×