The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias
Open accessAbstract
We compared voxel-based morphometry (VBM) with independent accurate region-of-interest (ROI) measurements of temporal lobe structures in order to validate the usefulness of this fully automated and unbiased technique in Alzheimer's disease (AD) and semantic dementia (SD). In AD, ROI analyses appear more sensitive to volume loss in the amygdalae, whereas VBM analyses appear more sensitive to right middle temporal gyrus and regional hippocampal volume loss. In SD, ROI analyses appear more sensitive to left middle and inferior temporal gyrus volume loss, whereas VBM appears more sensitive to regional hippocampal volume loss. In addition the significance of volume reductions was generally less in VBM owing to more stringent corrections for multiple comparisons. In conclusion, the automated technique detects a general trend of atrophy similar to that of expertly labeled ROI measurements in AD and SD, although there are discrepancies in the ranking of severity and in the significance of volume reductions that are more marked in AD.
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Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Self-citationA 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
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
Self-citationMetabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease
Small, G. W., Ercoli, L. M., Silverman, D. H. S., Huang, S.-C., Komo, S., Bookheimer, S. Y., Lavretsky, H., Miller, K., Siddarth, P., Rasgon, N. L., et al. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.090106797 · Cited by 790
Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease
Chan, D., Fox, N. C., Scahill, R. I., Crum, W. R., Whitwell, J. L., Leschziner, G., Rossor, A. M., Stevens, J. M., Cipolotti, L., & Rossor, M. N. (2001) · Annals of Neurology · doi:10.1002/ana.92 · Cited by 749
Self-citationEvolution of the neuropathology of Alzheimer's disease
Braak, H., & Braak, E. (1996) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1996.tb05866.x · Cited by 710
EARLY MARKER FOR ALZHEIMER'S DISEASE: THE ATROPHIC HIPPOCAMPUS
De Leon, M., George, A., Stylopoulos, L., Smith, G., & Miller, D. (1989) · The Lancet · doi:10.1016/s0140-6736(89)90911-2 · Cited by 284
Cited by
Changes in grey matter induced by training
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004) · Nature · doi:10.1038/427311a · Cited by 2,373
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153
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
Structural plasticity in the bilingual brain
Mechelli, A., Crinion, J. T., Noppeney, U., O'Doherty, J., Ashburner, J., Frackowiak, R. S., & Price, C. J. (2004) · Nature · doi:10.1038/431757a · Cited by 1,005
Self-citationThe logopenic/phonological variant of primary progressive aphasia
Gorno-Tempini, M. L., Brambati, S. M., Ginex, V., Ogar, J., Dronkers, N. F., Marcone, A., Perani, D., Garibotto, V., Cappa, S. F., & Miller, B. L. (2008) · Neurology · doi:10.1212/01.wnl.0000320506.79811.da · Cited by 710
Metadata
- Authors
- 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.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 17
- Issue
- 1
- Pages
- 29-46
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1971316923
- Cited by
- 410
- References
- 10
- FWCI
- 15.76
- Type
- journal article
- Language
- en
- Open access
- green
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