The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Spatial Pattern Analysis of Functional Brain Images Using Partial Least Squares
McIntosh, A. R., Bookstein, F. L., Haxby, J. V., & Grady, C. L. (1996) · NeuroImage · doi:10.1006/nimg.1996.0016 · Cited by 1,114
“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
Davatzikos, C., Genc, A., Xu, D., & Resnick, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0937 · Cited by 416
Self-citationA Unified Statistical Approach to Deformation-Based Morphometry
Chung, M. K., Worsley, K. J., Paus, T., Cherif, C., Collins, D. L., Giedd, J. N., Rapoport, J. L., & Evans, A. C. (2001) · NeuroImage · doi:10.1006/nimg.2001.0862 · Cited by 413
Good, C. D., Scahill, R. I., Fox, N. C., Ashburner, J., Friston, K. J., Chan, D., Crum, W. R., Rossor, M. N., & Frackowiak, R. S. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1202 · Cited by 410
Voxel-Based Morphometric Analysis of Gray Matter in First Episode Schizophrenia
Kubicki, M. (2002) · NeuroImage · doi:10.1006/nimg.2002.1296 · Cited by 357
Cited by
Twenty‐five pitfalls in the analysis of diffusion MRI data
Jones, D. K., & Cercignani, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1543 · Cited by 827
Non-rigid image registration: theory and practice
Crum, W. R., Hartkens, T., & Hill, D. L. G. (2004) · The British Journal of Radiology · doi:10.1259/bjr/25329214 · Cited by 719
Nakao, T., Radua, J., Rubia, K., & Mataix-Cols, D. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020281 · Cited by 588
The effect of filter size on VBM analyses of DT-MRI data
JONES, D., SYMMS, M., CERCIGNANI, M., & HOWARD, R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.013 · Cited by 567
Neuroanatomical correlates of behavioural disorders in dementia
Rosen, H. J., Allison, S. C., Schauer, G. F., Gorno-Tempini, M. L., Weiner, M. W., & Miller, B. L. (2005) · Brain · doi:10.1093/brain/awh628 · Cited by 497
Metadata
- Authors
- Davatzikos, C.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 23
- Issue
- 1
- Pages
- 17-20
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1970798317
- Cited by
- 434
- References
- 18
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Why voxel-based morphometric analysis should be used with great caution when characterizing group differences. https://app.cochat.ai/papers/10.1016/j.neuroimage.2004.05.010
- The paper
- Davatzikos, C. (2004). Why voxel-based morphometric analysis should be used with great caution when characterizing group differences. NeuroImage. https://doi.org/10.1016/j.neuroimage.2004.05.010
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.
