The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Brain size and grey matter volume in the healthy human brain
Abstract
Magnetic resonance imaging was used to evaluate the influence of sex and brain size on compartmental brain volumes (grey matter, white matter, CSF) in a large and well-matched sample of neurologically normal women (n = 50) and men (n = 50). As expected, we found a significant sex difference for the absolute volumes of total brain, grey matter, white matter and CSF, with greater volumes for men. Relating these compartmental volume measures to brain volume resulting in proportional volume measures revealed a higher proportion of grey matter in women. No significant sex differences were found for white matter and CSF proportions. However, when the influence of sex was partialized out by regression analyses, brain volume explained 40–81% of the variance of the absolute grey matter, white matter and CSF volumes. Performing these regression analyses for the proportional volume measures revealed that brain volume explained ∼16% of the variance in grey matter proportion. Sex or the interaction between sex and brain volume revealed no additional predicitve values. Interestingly, the correlation between brain volume and grey matter proportion was negative, with larger brains exhibiting relatively smaller proportions of grey matter. Thus, sex is not the main variable explaining the variability in grey matter volume. Rather, we suggest that brain size is the main variable determining the proportion of grey matter.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909
Research works printed but not linked: 27
- Peters, 1998, Brain Cogn, 37, 254???585, 10.1006/brcg.1998.0983 · DOI · Paper page
- Harasty, 1997, Arch Neurol, 54, 171???176, 10.1001/archneur.1997.00550140045011 · DOI · Paper page
- Kulynych, 1994, Cerebr Cortex, 4, 100???18, 10.1093/cercor/4.2.107 · DOI · Paper page
- Schlaepfer, 1995, Psychiatry Res, 61, 129???135, 10.1016/0925-4927(95)02634-A · DOI · Paper page
- Giedd, 1996, J Comp Neurol, 366, 223???230, 10.1002/(SICI)1096-9861(19960304)366:2<223::AID-CNE3>3.0.CO;2-7 · doi:10.1002/(sici)1096-9861(19960304)366:2<223::aid-cne3>3.0.co;2-7
- Murphy, 1993, Lancet, 342, 1197???1200
- Paus, 1996, Cerebr Cortex, 6, 207???214, 10.1093/cercor/6.2.207 · DOI · Paper page
- Nopoulos, 2000, Psychiatry Res, 98, 1???13, 10.1016/S0925-4927(99)00044-X · DOI · Paper page
- Witelson, 1995, J Neurosci, 15, 3418???3428, 10.1523/JNEUROSCI.15-05-03418.1995 · DOI · Paper page
- Allen, 1990, J Comp Neurol, 32, 697???706
- De Lacoste-Utamsing, 1982, Science, 216, 1431???1432, 10.1126/science.7089533 · DOI · Paper page
- Steinmetz, 1992, Neurology, 42, 749???752, 10.1212/WNL.42.4.749 · DOI
- Witelson, 1989, Brain, 112, 799???835, 10.1093/brain/112.3.799 · DOI · Paper page
- Allen, 1989, J Neurosci, 9, 497???506, 10.1523/JNEUROSCI.09-02-00497.1989 · DOI · Paper page
- Swaab, 1985, Science, 228, 1112???1115, 10.1126/science.3992248 · DOI · Paper page
- Zhou, 1995, Nature, 378, 68???70
- Bishop, 1997, Neurosci Biobehav Rev, 21, 581???601, 10.1016/S0149-7634(96)00049-8 · DOI · Paper page
- J??ncke, 1997, Cerebr Cortex, 7, 48???56
- J??ncke, 1994, Neuroreport, 5, 1161???1163
- J??ncke, 1999, Neuroreport, 10, 2981???2985
- Evans, 1993, Proc IEEE Nucl Sci Symp Imag, 3, 1813???1817
- Ringo, 1994, Cerebr Cortex, 4, 331???343, 10.1093/cercor/4.4.331 · DOI · Paper page
- Geschwind, 1985, Arch Neurol, 42, 428???521
- Leiva, 2001, Arch Latinoam Nutr, 51, 64???71
- Highley, 1999, Biol Psychiatry, 45, 1120???1127, 10.1016/S0006-3223(98)00323-0 · DOI
- Peters, 1998, Laterality, 3, 77???96, 10.1080/713754291 · doi:10.1080/713754291
- Rademacher, 2001, Neuroreport, 12, 1561???1565, 10.1097/00001756-200106130-00010 · DOI
Cited by
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
A meta-analysis of sex differences in human brain structure
Ruigrok, A. N. V., Salimi-Khorshidi, G., Lai, M.-C., Baron-Cohen, S., Lombardo, M. V., Tait, R. J., & Suckling, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.12.004 · Cited by 1,192
A review on sex differences in processing emotional signals
Kret, M. E., & De Gelder, B. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.12.022 · Cited by 584
Gender and incidence of dementia in the Framingham Heart Study from mid‐adult life
Chêne, G., Beiser, A., Au, R., Preis, S. R., Wolf, P. A., Dufouil, C., & Seshadri, S. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.005 · Cited by 499
Males and females differ in brain activation during cognitive tasks
Bell, E. C., Willson, M. C., Wilman, A. H., Dave, S., & Silverstone, P. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.049 · Cited by 296
Metadata
- Authors
- L??ders, E., Steinmetz, H., & J??ncke, L.
- Venue
- NeuroReport
- Published
- 2002-12
- Volume
- 13
- Issue
- 17
- Pages
- 2371-2374
- ISSN
- 0959-4965 (ISSN-L)
- OpenAlex
- W4253937632
- Cited by
- 273
- References
- 2
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Brain size and grey matter volume in the healthy human brain. https://app.cochat.ai/papers/10.1097/00001756-200212030-00040
- The paper
- L??ders, E., Steinmetz, H., & J??ncke, L. (2002). Brain size and grey matter volume in the healthy human brain. NeuroReport. https://doi.org/10.1097/00001756-200212030-00040
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
