Alzheimer’s association. 2011, [http://www.alz.orgdownloadsFacts_Figures_2011.pdf]
Braskie MN, Klunder AD, Hayashi KM, Protas H, Kepe V, Miller KJ, Huang SC, Barrio JR, Ercoli LM, Siddarth P, Satyamurthy N, Liu J, Toga AW, Bookheimer SY, Small GW, Thompson PM: Plaque and tangle imaging and cognition in normal aging and Alzheimer’s disease. Neurobiol Aging. 2010, 31: 1669-1678. 10.1016/j.neurobiolaging.2008.09.012.
PubMed
Google Scholar
Braak H, Braak E: Neuropathological stageing of alzheimer-related changes. Acta neuropathologica. 1991, 82 (4): 239-259. 10.1007/BF00308809.
CAS
PubMed
Google Scholar
West MJ, Coleman PD, Flood DG, Troncoso JC: Differences in the pattern of hippocampal neuronal loss in normal ageing and Alzheimer’s disease. Lancet. 1994, 344: 769-772. 10.1016/S0140-6736(94)92338-8.
CAS
PubMed
Google Scholar
Apostolova LG, Mosconi L, Thompson PM, Green AE, Hwang KS, Ramirez A, Mistur R, Tsui WH, de Leon MJ: Subregional hippocampal atrophy predicts alzheimer’s dementia in the cognitively normal. Neurobiol Aging. 2010, 31 (7): 1077-1088. 10.1016/j.neurobiolaging.2008.08.008.
PubMed
Google Scholar
Tondelli M, Wilcock GK, Nichelli P, De Jager CA, Jenkinson M, Zamboni G: Structural mri changes detectable up to ten years before clinical alzheimer’s disease. Neurobiol Aging. 2012, 33 (4): 825-25.
PubMed
Google Scholar
Bernard C, Helmer C, Dilharreguy B, Amieva H, Auriacombe S, Dartigues J-F, Allard M, Catheline G: Time course of brain volume changes in the preclinical phase of alzheimer’s disease. Alzheimer’s Dementia. 2014, 10 (2): 143-151. 10.1016/j.jalz.2013.08.279.
PubMed
Google Scholar
Dickerson B, Stoub T, Shah R, Sperling R, Killiany R, Albert M, Hyman B, Blacker D, deToledo-Morrell L: Alzheimer-signature mri biomarker predicts ad dementia in cognitively normal adults. Neurology. 2011, 76 (16): 1395-1402. 10.1212/WNL.0b013e3182166e96.
CAS
PubMed
PubMed Central
Google Scholar
Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L: Association between csf biomarkers and incipient alzheimer’s disease in patients with mild cognitive impairment: a follow-up study. Lancet Neurol. 2006, 5 (3): 228-234. 10.1016/S1474-4422(06)70355-6.
CAS
PubMed
Google Scholar
Leung KK, Shen K-K, Barnes J, Ridgway GR, Clarkson MJ, Fripp J, Salvado O, Meriaudeau F, Fox NC, Bourgeat P, Ourselin S: Increasing power to predict mild cognitive impairment conversion to alzheimer’s disease using hippocampal atrophy rate and statistical shape models. Proceedings of the 13th International Conference on Medical Image Computing and Computer-assisted Intervention: Part II. MICCAI’10. 2010, Berlin, Heidelberg: Springer, 125-132.
Google Scholar
Holland D, Dale AM: Nonlinear registration of longitudinal images and measurement of change in regions of interest. Med Image Anal. 2011, 15 (4): 489-497. 10.1016/j.media.2011.02.005.
PubMed
PubMed Central
Google Scholar
Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews P, Federico A, De Stefano N: Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage. 2002, 17 (1): 479-489. 10.1006/nimg.2002.1040.
PubMed
Google Scholar
Wang L, Swank JS, Glick IE, Gado MH, Miller MI, Morris JC, Csernansky JG: Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging. Neuroimage. 2003, 20: 667-682. 10.1016/S1053-8119(03)00361-6.
CAS
PubMed
Google Scholar
Li S, Shi F, Pu F, Li X, Jiang T, Xie S, Wang Y: Hippocampal shape analysis of Alzheimer disease based on machine learning methods. AJNR Am J Neuroradiol. 2007, 28: 1339-1345. 10.3174/ajnr.A0620.
CAS
PubMed
Google Scholar
Costafreda SG, Dinov ID, Tu Z, Shi Y, Liu CY, Kloszewska I, Mecocci P, Soininen H, Tsolakif M, Vellasg B, Wahlundh L-O, Spengerh C, Togab AW, Lovestonea S, Simmonsa A: Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment. NeuroImage. 2011,
Google Scholar
Scher AI, Xu Y, Korf ES, White LR, Scheltens P, Toga AW, Thompson PM, Hartley SW, Witter MP, Valentino DJ, Launer LJ: Hippocampal shape analysis in Alzheimer’s disease: a population-based study. Neuroimage. 2007, 36: 8-18. 10.1016/j.neuroimage.2006.12.036.
CAS
PubMed
Google Scholar
Klein S, Loog M, van der Lijn F, den Heijer T, Hammers A, de Bruijne M, van der Lugt A, Duin RPW, Breteler MMB, Niessen WJ: Early diagnosis of dementia based on intersubject whole-brain dissimilarities. Proceedings of the 2010 IEEE International Conference on Biomedical Imaging: from Nano to Macro. ISBI’10. 2010, Piscataway, NJ, USA: IEEE Press, 249-252.
Google Scholar
Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehéricy S, Habert MO, Chupin M, Benali H, Colliot O: Automatic classification of patients with alzheimer’s disease from structural mri: A comparison of ten methods using the adni database. Neuroimage. 2011, 56 (2): 766-781. 10.1016/j.neuroimage.2010.06.013.
PubMed
Google Scholar
Ferrarini L, Frisoni GB, Pievani M, Reiber JHC, Ganzola R, Milles J: Morphological hippocampal markers for automated detection of alzheimer’s disease and mild cognitive impairment converters in magnetic resonance images. J Alzheimer’s Dis. 2009, 17 (3): 643-659.
Google Scholar
Achterberg HC, Van Der Lijn F, Den Heijer T, Van Der Lugt A, Breteler MMB, Niessen WJ, De Bruijne M: Prediction of dementia by hippocampal shape analysis. Proceedings of the First International Conference on Machine Learning in Medical Imaging. MLMI’10. 2010, Berlin, Heidelberg: Springer, 42-49.
Google Scholar
Misra C, Fan Y, Davatzikos C: Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. Neuroimage. 2009, 44: 1415-1422. 10.1016/j.neuroimage.2008.10.031.
PubMed
Google Scholar
Apostolova LG, Dutton RA, Dinov ID, Hayashi KM, Toga AW, Cummings JL, Thompson PM: Conversion of mild cognitive impairment to alzheimer disease predicted by hippocampal atrophy maps. Arch Neurol. 2006, 63 (5): 693-10.1001/archneur.63.5.693.
PubMed
Google Scholar
Liu X, Shi Y, Thompson P, Mio W: A model of volumetric shape for the analysis of longitudinal alzheimer’s disease data. Proceedings of the 11th European Conference on Computer Vision Conference on Computer Vision: Part III. ECCV’10. 2010, Berlin, Heidelberg: Springer, 594-606.
Google Scholar
Thompson PM, Hayashi KM, De Zubicaray GI, Janke AL, Rose SE, Semple J, Hong MS, Herman DH, Gravano D, Doddrell DM, Toga AW: Mapping hippocampal and ventricular change in Alzheimer disease. Neuroimage. 2004, 22: 1754-1766. 10.1016/j.neuroimage.2004.03.040.
PubMed
Google Scholar
den Heijer T, Geerlings MI, Hoebeek FE, Hofman A, Koudstaal PJ, Breteler M: Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people. Arch Gen Psychiatry. 2006, 63 (1): 57-10.1001/archpsyc.63.1.57.
PubMed
Google Scholar
De Jong L, Van Der Hiele K, Veer I, Houwing J, Westendorp R, Bollen E, De Bruin P, Middelkoop H, Van Buchem M, Van Der Grond J: Strongly reduced volumes of putamen and thalamus in alzheimer’s disease: an mri study. Brain. 2008, 131 (12): 3277-3285. 10.1093/brain/awn278.
CAS
PubMed
PubMed Central
Google Scholar
Ferrarini L, Palm WM, Olofsen H, van der Landen R, van Buchem MA, Reiber JH, Admiraal-Behloul F: Ventricular shape biomarkers for alzheimer’s disease in clinical mr images. Magn Reson Med. 2008, 59 (2): 260-267. 10.1002/mrm.21471.
PubMed
Google Scholar
Jack CR, Bernstein MA, Fox NC, Thompson P, Alexander G, Harvey D, Borowski B, Britson PJ, L Whitwell J, Ward C, Dale AM, Felmlee JP, Gunter JL, Hill DL, Killiany R, Schuff N, Fox-Bosetti S, Lin C, Studholme C, DeCarli CS, Krueger G, Ward HA, Metzger GJ, Scott KT, Mallozzi R, Blezek D, Levy J, Debbins JP, Fleisher AS, Albert M, et al: The Alzheimer’s Disease neuroimaging initiative (ADNI): MRI methods. J Magn Reson Imaging : JMRI. 2008, 27 (4): 685-691.
PubMed
PubMed Central
Google Scholar
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM: Clinical diagnosis of alzheimer’s disease report of the nincds-adrda work group* under the auspices of department of health and human services task force on alzheimer’s disease. Neurology. 1984, 34 (7): 939-939. 10.1212/WNL.34.7.939.
CAS
PubMed
Google Scholar
Wechsler D: A standardized memory scale for clinical use. J Psychol. 1945, 19 (1): 87-95. 10.1080/00223980.1945.9917223.
Google Scholar
Wyman BT, Harvey DJ, Crawford K, Bernstein MA, Carmichael O, Cole PE, Crane PK, DeCarli C, Fox NC, Gunter JL, Hilli D, Killianyj RJ, Pachaik C, Schwarzl AJ, Schuffm N, Senjemd ML, Suhyn J, Thompsonc PM, Weinero M, Jack Jr CR: Standardization of analysis sets for reporting results from adni mri data. Alzheimer’s Dementia. 2012, 9 (3): 332-337.
PubMed
PubMed Central
Google Scholar
Blennow K, de Leon MJ, Zetterberg H: Alzheimer’s disease. The Lancet. 2006, 368 (9533): 387-403. 10.1016/S0140-6736(06)69113-7.
CAS
Google Scholar
Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002, 33: 341-355. 10.1016/S0896-6273(02)00569-X.
CAS
PubMed
Google Scholar
Talairach J, Tournoux P: Co-planar Stereotaxic Atlas of the Human Brain. 3-Dimensional Proportional System: an Approach to Cerebral Imaging. 1988, Stuttgart: George Thieme
Google Scholar
Sled JG, Zijdenbos AP, Evans AC: A nonparametric method for automatic correction of intensity nonuniformity in mri data. Med Imaging IEEE Trans on. 1998, 17 (1): 87-97. 10.1109/42.668698.
CAS
Google Scholar
Narayana P, Brey W, Kulkarni M, Sievenpiper C: Compensation for surface coil sensitivity variation in magnetic resonance imaging. Magn Reson Imaging. 1988, 6 (3): 271-274. 10.1016/0730-725X(88)90401-8.
CAS
PubMed
Google Scholar
Sabuncu MR, Yeo BT, Van Leemput K, Fischl B, Golland P: A generative model for image segmentation based on label fusion. Med Imaging IEEE Trans on. 2010, 29 (10): 1714-1729.
Google Scholar
Krzyzanowska A, Carro E: Pathological alteration in the choroid plexus of alzheimer’s diseaseimplication for new therapy approaches. Front Pharmacol. 2012, 3: 1-5.
Google Scholar
Gower JC: Generalized procrustes analysis. Psychometrika. 1975, 40 (1): 33-51. 10.1007/BF02291478.
Google Scholar
Liu Y, Teverovskiy L, Carmichael O, Kikinis R, Shenton M, Carter C, Stenger V, Davis S, Aizenstein H, Becker J, Lopez OL, Meltzer CC: Discriminative mr image feature analysis for automatic schizophrenia and alzheimer’s disease classification. Med Image Comput Comput Assist Interv–MICCAI. 2004, 3216: 393-401.
Google Scholar
Geladi P, Kowalski BR: Partial least-squares regression: a tutorial. Anal Chim Acta. 1986, 185: 1-17.
CAS
Google Scholar
Mika S, Ratsch G, Weston J, Scholkopf B, Mullers K: Fisher discriminant analysis with kernels. Neural Networks for Signal Processing IX 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop. 1999, IEEE, 41-48.
Google Scholar
Braak H, Braak E: Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991, 82: 239-259. 10.1007/BF00308809.
CAS
PubMed
Google Scholar
Price JL, Ko AI, Wade MJ, Tsou SK, McKeel DW, Morris JC: Neuron number in the entorhinal cortex and CA1 in preclinical Alzheimer disease. Arch Neurol. 2001, 58: 1395-1402. 10.1001/archneur.58.9.1395.
CAS
PubMed
Google Scholar
Duchesne S, Caroli A, Geroldi C, Barillot C, Frisoni GB, Collins DL: Mri-based automated computer classification of probable ad versus normal controls. Med Imaging IEEE Trans on. 2008, 27 (4): 509-520.
CAS
Google Scholar
Buckner RL, Snyder AZ, Shannon BJ, LaRossa G, Sachs R, Fotenos AF, Sheline YI, Klunk WE, Mathis CA, Morris JC, Mintun MA: Molecular, structural, and functional characterization of alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory. J Neurosci. 2005, 25 (34): 7709-7717. 10.1523/JNEUROSCI.2177-05.2005.
CAS
PubMed
Google Scholar
Wang L, Beg F, Ratnanather T, Ceritoglu C, Younes L, Morris JC, Csernansky JG, Miller MI: Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type. IEEE Trans Med Imag. 2007, 26 (4): 462-470.
Google Scholar
Zhou X, Liu Z, Zhou Z, Xia H: Study on texture characteristics of hippocampus in mr images of patients with alzheimer’s disease. Biomedical Engineering and Informatics (BMEI) 2010 3rd International Conference On, Volume 2. 2010, Yantai, China: IEEE, 593-596.
Google Scholar
Bonte FJ, Weiner MF, Bigio EH, White CL: Spect imaging in dementias. J Nuclear Med. 2001, 42 (7): 1131-1133.
CAS
Google Scholar
Johnson SC, Saykin AJ, Baxter LC, Flashman LA, Santulli RB, McAllister TW, Mamourian AC: The relationship between fmri activation and cerebral atrophy: comparison of normal aging and alzheimer disease. Neuroimage. 2000, 11 (3): 179-187. 10.1006/nimg.1999.0530.
CAS
PubMed
Google Scholar
Kantarci K, Jack Jr C, Xu Y, Campeau N, O’Brien P, Smith G, Ivnik R, Boeve B, Kokmen E, Tangalos EG, Petersen RC: Regional metabolic patterns in mild cognitive impairment and alzheimer’s disease a 1h mrs study. Neurology. 2000, 55 (2): 210-10.1212/WNL.55.2.210.
CAS
PubMed
PubMed Central
Google Scholar
Herholz K, Salmon E, Perani D, Baron J, Holthoff V, Frölich L, Schönknecht P, Ito K, Mielke R, Kalbe E, Zündorfa G, Delbeuckb X, Pelatic O, Anchisic D, Fazioc F, Kerrouched N, Desgrangesd B, Eustached F, Beuthien-Baumanni B, Menzelk JC, Schröderg J, Katoh T, Arahatah Y, Henzel M, Heissa W-D: Discrimination between alzheimer dementia and controls by automated analysis of multicenter fdg pet. Neuroimage. 2002, 17 (1): 302-316. 10.1006/nimg.2002.1208.
CAS
PubMed
Google Scholar
De Leon M, Convit A, Wolf O, Tarshish C, DeSanti S, Rusinek H, Tsui W, Kandil E, Scherer A, Roche A, Imossi A, Thorn E, Bobinski M, Caraos C, Lesbre P, Schlyer D, Poirier J, Reisberg B, Fowler J: Prediction of cognitive decline in normal elderly subjects with 2-[18f] fluoro-2-deoxy-d-glucose/positron-emission tomography (fdg/pet). Proc Nat Acad Sci. 2001, 98 (19): 10966-10.1073/pnas.191044198.
CAS
PubMed
PubMed Central
Google Scholar
Frisoni GB: Interactive neuroimaging. Lancet Neurol. 2008, 7 (3): 204-10.1016/S1474-4422(08)70036-X.
PubMed
Google Scholar
Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, Bergström M, Savitcheva I, Huang GF, Estrada S, Ausén B, Debnath ML, Barletta J, Price JC, Sandell J, Lopresti BJ, Wall A, Koivisto P, Antoni G, Mathis CA, Långström B: Imaging brain amyloid in alzheimer’s disease with pittsburgh compound-b. Ann Neurol. 2004, 55 (3): 306-319. 10.1002/ana.20009.
CAS
PubMed
Google Scholar