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Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI.

Misra C, Fan Y, Davatzikos C.

Neuroimage. 2009 Feb 15;44(4):1415-22. doi: 10.1016/j.neuroimage.2008.10.031. Epub 2008 Nov 5.


Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.

Davatzikos C, Xu F, An Y, Fan Y, Resnick SM.

Brain. 2009 Aug;132(Pt 8):2026-35. doi: 10.1093/brain/awp091. Epub 2009 May 4.


Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.


Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.

Fan Y, Batmanghelich N, Clark CM, Davatzikos C; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2008 Feb 15;39(4):1731-43. Epub 2007 Nov 1.


Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification.

Davatzikos C, Bhatt P, Shaw LM, Batmanghelich KN, Trojanowski JQ.

Neurobiol Aging. 2011 Dec;32(12):2322.e19-27. doi: 10.1016/j.neurobiolaging.2010.05.023. Epub 2010 Jul 1.


Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment.

McEvoy LK, Fennema-Notestine C, Roddey JC, Hagler DJ Jr, Holland D, Karow DS, Pung CJ, Brewer JB, Dale AM; Alzheimer's Disease Neuroimaging Initiative.

Radiology. 2009 Apr;251(1):195-205. doi: 10.1148/radiol.2511080924. Epub 2009 Feb 6.


ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease.

Apostolova LG, Hwang KS, Kohannim O, Avila D, Elashoff D, Jack CR Jr, Shaw L, Trojanowski JQ, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2014 Jan 4;4:461-72. doi: 10.1016/j.nicl.2013.12.012. eCollection 2014.


Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.

Chincarini A, Bosco P, Calvini P, Gemme G, Esposito M, Olivieri C, Rei L, Squarcia S, Rodriguez G, Bellotti R, Cerello P, De Mitri I, Retico A, Nobili F; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Sep 15;58(2):469-80. doi: 10.1016/j.neuroimage.2011.05.083. Epub 2011 Jun 16.


Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Curr Alzheimer Res. 2009 Aug;6(4):347-61.


Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.

Beheshti I, Demirel H, Matsuda H; Alzheimer's Disease Neuroimaging Initiative.

Comput Biol Med. 2017 Apr 1;83:109-119. doi: 10.1016/j.compbiomed.2017.02.011. Epub 2017 Feb 27.


Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study.

Chételat G, Landeau B, Eustache F, Mézenge F, Viader F, de la Sayette V, Desgranges B, Baron JC.

Neuroimage. 2005 Oct 1;27(4):934-46.


Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

Plant C, Teipel SJ, Oswald A, Böhm C, Meindl T, Mourao-Miranda J, Bokde AW, Hampel H, Ewers M.

Neuroimage. 2010 Mar;50(1):162-74. doi: 10.1016/j.neuroimage.2009.11.046. Epub 2009 Dec 2.


Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.

Leow AD, Yanovsky I, Parikshak N, Hua X, Lee S, Toga AW, Jack CR Jr, Bernstein MA, Britson PJ, Gunter JL, Ward CP, Borowski B, Shaw LM, Trojanowski JQ, Fleisher AS, Harvey D, Kornak J, Schuff N, Alexander GE, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2009 Apr 15;45(3):645-55.


AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America.

Westman E, Simmons A, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Weiner MW, Lovestone S, Spenger C, Wahlund LO; AddNeuroMed consortium; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Oct 1;58(3):818-28. doi: 10.1016/j.neuroimage.2011.06.065. Epub 2011 Jul 1.


Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment.

Teipel SJ, Born C, Ewers M, Bokde AL, Reiser MF, Möller HJ, Hampel H.

Neuroimage. 2007 Oct 15;38(1):13-24. Epub 2007 Jul 18.


Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features.

Li Y, Wang Y, Wu G, Shi F, Zhou L, Lin W, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2012 Feb;33(2):427.e15-30. doi: 10.1016/j.neurobiolaging.2010.11.008. Epub 2011 Jan 26.


Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2015 Jan 1;104:398-412. doi: 10.1016/j.neuroimage.2014.10.002. Epub 2014 Oct 12.


A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.

Tong T, Gao Q, Guerrero R, Ledig C, Chen L, Rueckert D, Initiative ADN.

IEEE Trans Biomed Eng. 2017 Jan;64(1):155-165. doi: 10.1109/TBME.2016.2549363. Epub 2016 Apr 1.


Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.

Da X, Toledo JB, Zee J, Wolk DA, Xie SX, Ou Y, Shacklett A, Parmpi P, Shaw L, Trojanowski JQ, Davatzikos C; Alzheimer's Neuroimaging Initiative.

Neuroimage Clin. 2013 Nov 28;4:164-73. doi: 10.1016/j.nicl.2013.11.010. eCollection 2014.


Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.

Mulder ER, de Jong RA, Knol DL, van Schijndel RA, Cover KS, Visser PJ, Barkhof F, Vrenken H; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 May 15;92:169-81. doi: 10.1016/j.neuroimage.2014.01.058. Epub 2014 Feb 9.


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