The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Voxel‐based morphometry of temporal lobe epilepsy: An introduction and review of the literature
Abstract
Summary: We review the applications and results of voxel‐based morphometry (VBM) studies that have reported brain changes associated with temporal lobe epilepsy (TLE). A PubMed search yielded 18 applications of VBM to study brain abnormalities in patients with TLE up to May 2007. Across studies, 26 brain regions were found to be significantly reduced in volume relative to healthy controls. There was a strong asymmetrical distribution of temporal lobe abnormalities preferentially observed ipsilateral to the seizure focus, particularly of the hippocampus (82.35% of all studies), parahippocampal gyrus (47.06%), and entorhinal (23.52%) cortex. The contralateral hippocampus was reported as abnormal in 17.65% of studies. There was a much more bilateral distribution of extratemporal lobe atrophy, preferentially affecting the thalamus (ipsilateral = 61.11%, contralateral = 50%) and parietal lobe (ipsilateral = 47.06%, contralateral = 52.94%). VBM generally reveals a distribution of brain abnormalities in patients with TLE consistent with the region‐of‐interest neuroimaging and postmortem literature. It is unlikely that VBM has any clinical utility given the lack of robustness for individual comparisons. However, VBM may help elucidate some unresolved important research questions such as how recurrent temporal lobe seizures affect hippocampal and extrahippocampal morphology using serial imaging acquisitions.
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
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Analysis of fMRI Time-Series Revisited
Friston, K. J., Holmes, A. P., Poline, J.-B., Grasby, P. J., Williams, S. C. R., Frackowiak, R. S. J., & Turner, R. (1995) · NeuroImage · doi:10.1006/nimg.1995.1007 · Cited by 2,502
Analysis of fMRI Time-Series Revisited—Again
Worsley, K. J., & Friston, K. J. (1995) · NeuroImage · doi:10.1006/nimg.1995.1023 · Cited by 2,185
Hammers, A., Allom, R., Koepp, M. J., Free, S. L., Myers, R., Lemieux, L., Mitchell, T. N., Brooks, D. J., & Duncan, J. S. (2003) · Human Brain Mapping · doi:10.1002/hbm.10123 · Cited by 1,286
Honea, R., Crow, T. J., Passingham, D., & Mackay, C. E. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.12.2233 · Cited by 1,157
Why Voxel-based morphometry should be used
Ashburner, J., & Friston, K. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0961 · Cited by 842
“Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered Images
Bookstein, F. L. (2001) · NeuroImage · doi:10.1006/nimg.2001.0770 · Cited by 664
Structural covariance in the human cortex
Mechelli, A., Friston, K. J., Frackowiak, R. S., & Price, C. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0357-05.2005 · Cited by 606
Cited by
Brain imaging in the assessment for epilepsy surgery
Duncan, J. S., Winston, G. P., Koepp, M. J., & Ourselin, S. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00383-x · Cited by 363
Cognition and dementia in older patients with epilepsy
Sen, A., Capelli, V., & Husain, M. (2018) · Brain · doi:10.1093/brain/awy022 · Cited by 280
Hippocampal sclerosis—Origins and imaging
Malmgren, K., & Thom, M. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03610.x · Cited by 273
Thom, M., Liu, J. Y. W., Thompson, P., Phadke, R., Narkiewicz, M., Martinian, L., Marsdon, D., Koepp, M., Caboclo, L., Catarino, C. B., et al. (2011) · Brain · doi:10.1093/brain/awr209 · Cited by 167
Tiwari, S. K., Agarwal, S., Tripathi, A., & Chaturvedi, R. K. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9197-z · Cited by 114
Metadata
- Authors
- Keller, S. S., & Roberts, N.
- Venue
- Epilepsia
- Publisher
- Wiley
- Published
- 2008-02-07
- Volume
- 49
- Issue
- 5
- Pages
- 741-757
- ISSN
- 0013-9580 (ISSN-L)
- 1528-1167
- OpenAlex
- W2053384222
- Cited by
- 441
- References
- 93
- FWCI
- 17.13
- 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: Voxel‐based morphometry of temporal lobe epilepsy: An introduction and review of the literature. https://app.cochat.ai/papers/10.1111/j.1528-1167.2007.01485.x
- The paper
- Keller, S. S., & Roberts, N. (2008). Voxel‐based morphometry of temporal lobe epilepsy: An introduction and review of the literature. Epilepsia. https://doi.org/10.1111/j.1528-1167.2007.01485.x
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.
