Cited by 4,561Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

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A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains

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Good, Catriona D., Johnsrude, Ingrid S., Ashburner, John, Henson, Richard N.A., Friston, Karl J., Frackowiak, Richard S.J.·2001·NeuroImage

DOI 10.1006/nimg.2001.0786

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Abstract

Voxel-based-morphometry (VBM) is a whole-brain, unbiased technique for characterizing regional cerebral volume and tissue concentration differences in structural magnetic resonance images. We describe an optimized method of VBM to examine the effects of age on grey and white matter and CSF in 465 normal adults. Global grey matter volume decreased linearly with age, with a significantly steeper decline in males. Local areas of accelerated loss were observed bilaterally in the insula, superior parietal gyri, central sulci, and cingulate sulci. Areas exhibiting little or no age effect (relative preservation) were noted in the amygdala, hippocampi, and entorhinal cortex. Global white matter did not decline with age, but local areas of relative accelerated loss and preservation were seen. There was no interaction of age with sex for regionally specific effects. These results corroborate previous reports and indicate that VBM is a useful technique for studying structural brain correlates of ageing through life in humans.

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Authors: Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J.
Affiliations: UCL Queen Square Institute of Neurology (GB)
MRC Cognition and Brain Sciences Unit (GB)
National Hospital for Neurology and Neurosurgery (GB)
ORCID: Johnsrude, Ingrid S.
Ashburner, John
Henson, Richard N.A.
Friston, Karl J.
Frackowiak, Richard S.J.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2001-07
Volume: 14
Issue: 1
Pages: 21-36
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1006/nimg.2001.0786
OpenAlex: W2118421222
Cited by: 4,561
References: 67
Citations by year: 2026: 63 · 2025: 84 · 2024: 92 · 2023: 97 · 2022: 144 · 2021: 188 · 2020: 188 · 2019: 158 · 2018: 180 · 2017: 195 · 2016: 209 · 2015: 244 · 2014: 213 · 2013: 282 · 2012: 273
FWCI: 63.17
Type: journal article
Language: en
Open access: green
figshare.com
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Figshare (submittedVersion, cc-by)
Funders: Wellcome Trust
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords: brain aging, gray matter volume, white matter, cerebrospinal fluid, sex differences, insula, superior parietal gyrus, cingulate sulcus, amygdala, hippocampus, entorhinal cortex, structural MRI
MeSH terms: Adolescent, Adult, Aged, Aging, Atrophy, Brain, Brain Mapping, Cephalometry, Dominance, Cerebral, Female, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Sex Factors

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A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains

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