The DOI matches its Crossref record; 65 of the 67 references it cites were found in a registry or an index.
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Open accessAbstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Fractional anisotropy of SLF also varies between individuals, but less importantly, than volume (67, 68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“This variability can be observed at different levels such as in cortical morphology, cytoarchitecture, task-evoked activation, or in dMRI connectivity pattern (65–68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“from one individual to another, the volume of the SLF appears different.”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“VBM is an automated technique that allows for the examination of brain anatomy differences between groups at a voxel-wise level without requiring predefined regions of interest (ROIs) (Good et al., 2001).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Good et al., 2001
In the citing paper
“In spite of the objectivity of this method, studies led to somewhat contradictory results regarding the hippocampus: some authors have found this structure to be preserved with aging [29,31], whereas others have reported structural deterioration [38,81,84,87].”
From Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging (2009) · cites this paper as [29]
Citations
Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Navigation-related structural change in the hippocampi of taxi drivers
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.070039597 · Cited by 3,225
Nonlinear spatial normalization using basis functions
Ashburner, J., & Friston, K. J. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)7:4 · Cited by 1,888
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Raz, N. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.268 · Cited by 1,292
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148
Self-citationNonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A. P., Blair, R. C., Watson, J. D. G., & Ford, I. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 894
The Young Adult Human Brain: An MRI-based Morphometric Analysis
Filipek, P. A., Richelme, C., Kennedy, D. N., & Caviness, V. S. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.4.344 · Cited by 652
Isolating the neural mechanisms of age-related changes in human working memory
Bart Rypma, A., & D’Esposito, M. (2000) · Nature Neuroscience · doi:10.1038/74889 · Cited by 566
Research works printed but not linked: 1
- Davatzikos, 1998, Mapping of image data to stereotaxic spaces: Applications to brain mapping, Hum. Brain Mapp., 6, 334, 10.1002/(SICI)1097-0193(1998)6:5/6<334::AID-HBM2>3.0.CO;2-7 · DOI
Cited by
Sorted by citations
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250
Metadata
- 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
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-07
- Volume
- 14
- Issue
- 1
- Pages
- 21-36
- ISSN
- 1053-8119 (ISSN-L)
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review