The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Stereotaxic Display of Brain Lesions
Open accessAbstract
Traditionally lesion location has been reported using standard templates, text based descriptions or representative raw slices from the patient′s CT or MRI scan. Each of these methods has drawbacks for the display of neuroanatomical data. One solution is to display MRI scans in the same stereotaxic space popular with researchers working in functional neuroimaging. Presenting brains in this format is useful as the slices correspond to the standard anatomical atlases used by neuroimagers. In addition, lesion position and volume are directly comparable across patients. This article describes freely available software for presenting stereotaxically aligned patient scans. This article focuses on MRI scans, but many of these tools are also applicable to other modalities (e.g. CT, PET and SPECT). We suggest that this technique of presenting lesions in terms of images normalized to standard stereotaxic space should become the standard for neuropsychological studies.
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
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1×
“There are other normalization packages that use similar intensity-based algorithms, such as AIR [20] and MNI AutoReg/ANIMAL [2].”
MethodThree-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Cited by
Neuropsychology of fear and loathing
Calder, A. J., Lawrence, A. D., & Young, A. W. (2001) · Nature reviews. Neuroscience · doi:10.1038/35072584 · Cited by 927
Cole, J. H., Poudel, R. P. K., Tsagkrasoulis, D., Caan, M. W. A., Steves, C., Spector, T. D., & Montana, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.059 · Cited by 872
“This included converting from DICOM to Nifti format, using dcm2nii from micron (Rorden and Brett, 2000), to be compatible with our in-house software.”
MethodLeft inferior frontal gyrus is critical for response inhibition
Swick, D., Ashley, V., & Turken, A. U. (2008) · BMC Neuroscience · doi:10.1186/1471-2202-9-102 · Cited by 745
Brain activities associated with gaming urge of online gaming addiction
Ko, C.-H., Liu, G.-C., Hsiao, S., Yen, J.-Y., Yang, M.-J., Lin, W.-C., Yen, C.-F., & Chen, C.-S. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.09.012 · Cited by 666
Fellows, L. K. (2003) · Brain · doi:10.1093/brain/awg180 · Cited by 631
Metadata
- Authors
- Rorden, C., & Brett, M.
- Venue
- Behavioural Neurology
- Publisher
- Wiley
- Published
- 2000-01
- Volume
- 12
- Issue
- 4
- Pages
- 191-200
- ISSN
- 0953-4180 (ISSN-L)
- 1875-8584
- OpenAlex
- W2074895886
- Cited by
- 2,590
- References
- 3
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- gold
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: Stereotaxic Display of Brain Lesions. https://app.cochat.ai/papers/10.1155/2000/421719
- The paper
- Rorden, C., & Brett, M. (2000). Stereotaxic Display of Brain Lesions. Behavioural Neurology. https://doi.org/10.1155/2000/421719
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.