The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
Open accessOverview
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 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
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Bias in error estimation when using cross-validation for model selection
Varma, S., & Simon, R. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-91 · Cited by 2,485 · cited 1×
“Note that for obtaining true unbiased estimates of the error, it is necessary to run the feature reduction step inside the CV loop, so that the CV error is representative of the true error (Varma and Simon, 2006).”
BackgroundProfound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 1×
“Degenerative histological changes occur long before the disease is clinically detectable (Gomez-Isla et al., 1996), perhaps decades, and thus imaging can be expected to help identify the early onset.”
BackgroundPrediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Self-citationEvans, D. A. (1989) · JAMA · doi:10.1001/jama.1989.03430180093036 · Cited by 1,226 · cited 2×
“Based on the estimates in Evans et al. (1989), an average of 18.7% and 47.2% of the general population at an age of 75–85 years and N85 years, respectively, have AD.”
BackgroundInfluentialKatzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225 · cited 1×
“…and up to 30% of CN subjects will have enough AD pathology at postmortem to qualify for a pathological diagnosis of AD (Crystal et al., 1993; Hulette et al., 1998; Jicha et al., 2006; Katzman et al., 1988; Knopman et al., 2003; Morris and Price, 2001; Riley et al., 2002; Schmitt et al., 2000).”
BackgroundMedial 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
Self-citationMorris, J. C., & Price, J. L. (2001) · Journal of Molecular Neuroscience · doi:10.1385/jmn:17:2:101 · Cited by 513
Cited by
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Self-citationThe clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113
Self-citationBuilding better biomarkers: brain models in translational neuroimaging
Woo, C.-W., Chang, L. J., Lindquist, M. A., & Wager, T. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4478 · Cited by 1,056
Orrù, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., & Mechelli, A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.004 · Cited by 1,012
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Arbabshirani, M. R., Plis, S., Sui, J., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.079 · Cited by 912
Brain atrophy in Alzheimer’s Disease and aging
Pini, L., Pievani, M., Bocchetta, M., Altomare, D., Bosco, P., Cavedo, E., Galluzzi, S., Marizzoni, M., & Frisoni, G. B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.002 · Cited by 836
Rathore, S., Habes, M., Iftikhar, M. A., Shacklett, A., & Davatzikos, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.057 · Cited by 622
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602
Self-citationMISRA, C., FAN, Y., & DAVATZIKOS, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.031 · Cited by 552
Jack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531
Self-citationWhitwell, J. L., Dickson, D. W., Murray, M. E., Weigand, S. D., Tosakulwong, N., Senjem, M. L., Knopman, D. S., Boeve, B. F., Parisi, J. E., Petersen, R. C., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70200-4 · Cited by 419
Self-citationBron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M. E., Méndez Orellana, C., Meijboom, R., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.048 · Cited by 352
Amyloid‐β associated cortical thinning in clinically normal elderly
Becker, J. A., Hedden, T., Carmasin, J., Maye, J., Rentz, D. M., Putcha, D., Fischl, B., Greve, D. N., Marshall, G. A., Salloway, S., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22333 · Cited by 342
Davatzikos, C., Xu, F., An, Y., Fan, Y., & Resnick, S. M. (2009) · Brain · doi:10.1093/brain/awp091 · Cited by 315
Diagnostic neuroimaging across diseases
Klöppel, S., Abdulkadir, A., Jack, C. R., Koutsouleris, N., Mourão-Miranda, J., & Vemuri, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.002 · Cited by 279
Self-citationAccuracy of dementia diagnosis: a direct comparison between radiologists and a computerized method
Kloppel, S., Stonnington, C. M., Barnes, J., Chen, F., Chu, C., Good, C. D., Mader, I., Mitchell, L. A., Patel, A. C., Roberts, C. C., et al. (2008) · Brain · doi:10.1093/brain/awn239 · Cited by 271
Self-citationYoung, J., Modat, M., Cardoso, M. J., Mendelson, A., Cash, D., & Ourselin, S. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.05.004 · Cited by 249
Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play
Jack, C. R. (2012) · Radiology · doi:10.1148/radiol.12110433 · Cited by 211
Self-citationEffect of apolipoprotein E on biomarkers of amyloid load and neuronal pathology in Alzheimer disease
Vemuri, P., Wiste, H. J., Weigand, S. D., Knopman, D. S., Shaw, L. M., Trojanowski, J. Q., Aisen, P. S., Weiner, M., Petersen, R. C., Jack, C. R., et al. (2010) · Annals of Neurology · doi:10.1002/ana.21953 · Cited by 195
Self-citationBoosting power for clinical trials using classifiers based on multiple biomarkers
Kohannim, O., Hua, X., Hibar, D. P., Lee, S., Chou, Y.-Y., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.022 · Cited by 190
“Vemuri et al. (2008) assigned overall “scores” for each subject’s MRI – called the Structural Abnormality Index (STAND) - based on gray and white matter voxels that best differentiated AD patients from controls.”
InfluentialSelf-citationVemuri, P., Whitwell, J. L., Kantarci, K., Josephs, K. A., Parisi, J. E., Shiung, M. S., Knopman, D. S., Boeve, B. F., Petersen, R. C., Dickson, D. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.012 · Cited by 172
Self-citationGray matter atrophy pattern in elderly with subjective memory impairment
Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.05.1764 · Cited by 165
Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND
Vemuri, P., Simon, G., Kantarci, K., Whitwell, J. L., Senjem, M. L., Przybelski, S. A., Gunter, J. L., Josephs, K. A., Knopman, D. S., Boeve, B. F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.073 · Cited by 108
Self-citationFerreira, L. K., & Busatto, G. F. (2011) · Clinics · doi:10.1590/s1807-59322011001300003 · Cited by 102
Bron, E. E., Steketee, R. M. E., Houston, G. C., Oliver, R. A., Achterberg, H. C., Loog, M., van Swieten, J. C., Hammers, A., Niessen, W. J., Smits, M., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22522 · Cited by 93
Quantitative structural MRI for early detection of Alzheimer's disease
McEvoy, L. K., & Brewer, J. B. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.162 · Cited by 90
MKL for robust multi-modality AD classification
Hinrichs, C., Singh, V., Xu, G., & Johnson, S. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-04271-3_95 · Cited by 74
Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study
Klöppel, S., Peter, J., Ludl, A., Pilatus, A., Maier, S., Mader, I., Heimbach, B., Frings, L., Egger, K., Dukart, J., et al. (2015) · Journal of Alzheimer’s Disease · doi:10.3233/jad-150334 · Cited by 69
Cavedo, E., Lista, S., Khachaturian, Z., Aisen, P., Amouyel, P., Herholz, K., Jack Jr, C. R., Sperling, R., Cummings, J., Blennow, K., et al. (2014) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2014.32 · Cited by 67
Alliance for aging research AD biomarkers work group: structural MRI
Jack, C. R. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.011 · Cited by 64
Self-citationBisenius, S., Mueller, K., Diehl-Schmid, J., Fassbender, K., Grimmer, T., Jessen, F., Kassubek, J., Kornhuber, J., Landwehrmeyer, B., Ludolph, A., et al. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.02.003 · Cited by 51
Farzan, A., Mashohor, S., Ramli, A. R., & Mahmud, R. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.010 · Cited by 46
Effects of age on the glucose metabolic changes in mild cognitive impairment
Kantarci, K., Senjem, M. L., Lowe, V. J., Wiste, H. J., Weigand, S. D., Kemp, B. J., Frank, A. R., Shiung, M. M., Boeve, B. F., Knopman, D. S., et al. (2010) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2070 · Cited by 47
Aguilar, C., Muehlboeck, J.-S., Mecocci, P., Vellas, B., Tsolaki, M., Kloszewska, I., Soininen, H., Lovestone, S., Wahlund, L.-O., Simmons, A., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00145 · Cited by 34
Accuracy of MRI classification algorithms in a tertiary memory center clinical routine cohort
Morin, A., Samper-Gonzalez, J., Bertrand, A., Ströer, S., Dormont, D., Mendes, A., Coupé, P., Ahdidan, J., Lévy, M., Samri, D., et al. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-190594 · Cited by 25
“Automatic classifiers have also mainly been evaluated in research settings, with standardized MRI acquisition and focusing on a single type of dementia (most often AD) and age-matched healthy controls [15–19].”
Yin, Z., Lu, X., Cohen Cohen, S., Sui, Y., Manduca, A., Van Gompel, J. J., Ehman, R. L., & Huston, J. (2021) · European Radiology · doi:10.1007/s00330-021-07918-6 · Cited by 17
Metadata
- Authors
- Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 39
- Issue
- 3
- Pages
- 1186-1197
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1987011701
- Cited by
- 454
- References
- 17
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- green
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
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.