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

Neurobiology of Aging

Volumn 32, Issue 12, 2011, Pages 2322.e19-2322.e27

  Davatzikos, Christos ^a   Bhatt, Priyanka ^a   Shaw, Leslie M ^a,b   Batmanghelich, Kayhan N ^a   Trojanowski, John Q ^a,b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Alzheimer's disease; CSF biomarkers; Early detection; Imaging biomarkers; MCI; Mild cognitive impairment; Pattern classification; SPARE AD

Indexed keywords

AMYLOID BETA PROTEIN[1-42]; TAU PROTEIN;

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN ATROPHY; CEREBROSPINAL FLUID LEVEL; CONTROLLED STUDY; FEMALE; FOLLOW UP; GRAY MATTER; HUMAN; INSULA; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTERIOR CINGULATE; PRECUNEUS; PREDICTIVE VALUE; PRIORITY JOURNAL; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SPATIAL PATTERN OF ABNORMALITIES FOR RECOGNITION OF ALZHEIMER DISEASE SCORE; SUPPORT VECTOR MACHINE; TEMPORAL LOBE; WHITE MATTER;

EID: 80053654021     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2010.05.023     Document Type: Article

References (43)

1. Bain L.J., Jedrziewski K., Morrison-Bogorad M., Albert M., Cotman C., Hendrie H., Trojanowski J.Q. Healthy brain aging: A meeting report from the Sylvan M. Cohen Annual Retreat of the University of Pennsylvania Institute on Aging. Alzheimers Dement 2008, 4:443-446.
2. Chetelat G., Desgranges B., de la Sayette V., Viader F., Eustache F., Baron J.-C. Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment. Neuroreport 2002, 13:1939-1943.
3. Convit A., de Asis J., de Leon M.J., Tarshish C.Y., De Santi S., Rusinek H. Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer's disease. Neurobiol. Aging 2000, 21:19-26.
4. Davatzikos C., Fan Y., Wu X., Shen D., Resnick S.M. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiol. Aging 2008, 29:514-523.
5. Davatzikos C., Resnick S.M., Wu X., Parmpi P., Clark C.M. Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI. Neuroimage 2008, 41:1220-1227.
6. Davatzikos C., Xu F., An Y., Fan Y., Resnick S. Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. Brain 2009, 132:2026-2035.
7. De Leon M., DeSanti S., Zinkowski R., Mehta P., Pratico D., Segal S., Rusinek H., Li J., Tsui W., Louis L.S. Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment. Neurobiol. Aging 2006, 27:394-401.
8. Dickerson B.C., Goncharova I., Sullivan M.P., Forchetti C., Wilson R.S., Bennett D.A., Beckett L.A., deToledo-Morrell L. MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer's disease. Neurobiol. Aging 2001, 22:747-754.
9. Driscoll I., Davatzikos C., An Y., Wu X., Shen D., Kraut M., Resnick S.M. Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology 2009, 72:1906-1913.
10. Duchesne S., Caroli A., Geroldi C., Barillot C., Frisoni G.B., Collins D.L. MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls. IEEE Trans. Med. Imaging 2008, 27:509-520.
11. Fagan A.M., Head D., Shah A.R., Marcus D., Mintun M., Morris J.C., Holtzman D.M. Decreased cerebrospinal fluid Abeta(42) correlates with brain atrophy in cognitively normal elderly. Ann. Neurol 2009, 65:176-183.
12. Fan Y., Batmanghelich N., Clark C.M., Davatzikos C. Alzheimer's Disease Neuroimaging Initiative. Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. Neuroimage 2008, 39:1731-1743.
13. Fan Y., Resnick S.M., Wu X., Davatzikos C. Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study. Neuroimage 2008, 41:277-285.
14. Fan Y., Shen D., Gur R.C., Gur R.E., Davatzikos C. COMPARE: Classification Of Morphological Patterns using Adaptive Regional Elements. IEEE Trans. Med. Imaging 2007, 26:93-105.
15. Fox N., Schott J. Imaging cerebral atrophy: normal ageing to Alzheimer's disease. Lancet 2004, 363:392-394.
16. Gerardin E., Chetelat G., Chupin M., Cuingnet R., Desgranges B., Kim H.S., Niethammer M., Dubois B., Lehericy S., Garnero L., Eustache F., Colliot O. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage 2009, 47:1476-1486.
17. Goldszal A.F., Davatzikos C., Pham D., Yan M., Bryan R.N., Resnick S.M. An image processing protocol for the analysis of MR images from an elderly population. J. Comput. Assist. Tomogr 1998, 22:827-837.
18. Hampel H., Blennow K., Shaw L.M., Hoessler Y.C., Zetterberg H., Trojanowski J.Q. Total and phosphorylated tau protein as biological markers of Alzheimer's disease. Exp. Gerontol 2010, 45:30-40.
19. Hampel H., Shen Y., Walsh D.M., Aisen P., Shaw L.M., Zetterberg H., Trojanowski J.Q., Blennow K. Biological markers of amyloid beta-related mechanisms in Alzheimer's disease. Exp. Neurol 2010, 223:334-346.
20. Hebert L., Beckett L., Scherr P., Evans D. Annual incidence of Alzheimer disease in the United States projected to the years 2000 through 2050. Alzheimer Dis. Assoc. Disord 2001, 15:169-173.
21. Hinrichs C., Singh V., Mukherjee L., Xu G., Chung M.K., Johnson S.C. Alzheimer's Disease Neuroimaging Initiative. Spatially augmented LPBoosting for AD classification with evaluations on the ADNI dataset. Neuroimage 2009, 48:138-149.
22. 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., Kokmen E. Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology 1999, 52:1397-1403.
23. Jack C.R., Weigand S.D., Shiung M.M., Przybelski S.A., O'Brien P.C., Gunter J.L., Knopman D.S., Boeve B.F., Smith G.E., Petersen R.C. Atrophy rates accelerate in amnestic mild cognitive impairment. Neurology 2008, 70:1740-1752.
24. Jack C.R.J., Bernstein M.A., Fox N.C., Thompson P., Alexander G., Harvey D., Borowski B., Britson P.J., Whitwell J.L., Ward C., Dale A.M., Felmlee J.P., Gunter J.L., Hill D.L., Killiany R., Schuff N., Fox-Bosetti S., Lin C., Studholme C., deCarli C.S., Krueger G., Ward H.A., Metzger G.J., Scott K.T., Mallozzi R., Blezek D., Levy J., Debbins J.P., Fleisher A.S., Albert M., Green R., Bartzokis G., Glover G., Mugler J., Weiner M.W. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J. Magn. Reson. Imaging 2008, 27:685-691.
25. Kabani N., MacDonald D., Holmes C.J., Evans A. A 3D atlas of the human brain. Neuroimage 1998, 7:S717.
26. Karas G.B., Scheltens P., Rombouts S.A., Visser P.J., van Schijndel R.A., Fox N.C., Barkhof F. Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. Neuroimage 2004, 23:708-716.
27. Kaye J., Swihart T., Howieson D., Dame A., Moore M., Karnos T., Camicioli R., Ball M., Oken B., Sexton G. Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia. Neurology 1997, 48:1297-1304.
28. Killiany R.J., Gomez-Isla T., Moss M., Kikinis R., Sandor T., Jolesz F., Tanzi R., Jones K., Hyman B.T., Albert M.S. Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease Temporal lobe regions on magnetic resonance imaging identify patients with early Alzheimer's disease. Ann. Neurol 2000, 47:430-439.
29. Kloppel S., Stonnington C.M., Chu C., Draganski B., Scahill R.I., Rohrer J.D., Fox N.C., Jack C.R., Ashburner J., Frackowiak R.S. Automatic classification of MR scans in Alzheimer's disease. Brain 2008, 131:681-689.
30. Lao Z., Shen D., Xue Z., Karacali B., Resnick S.M., Davatzikos C. Morphological classification of brains via high-dimensional shape transformations and machine learning methods. Neuroimage 2004, 21:46-57.
31. McEvoy L.K., Fennema-Notestine C., Roddey J.C., Hagler D.J., Holland D., Karow D.S., Pung C.J., Brewer J.B., Dale A.M. Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment. Radiology 2009, 251:195-205.
32. 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.
33. Pennanen C., Testa C., Laakso M.P., Hallikainen M., Helkala E.L., Hanninen T., Kivipelto M., Kononen M., Nissinen A., Tervo S., Vanhanen M., Vanninen R., Frisoni G.B., Soininen H. A voxel based morphometry study on mild cognitive impairment. J. Neurol. Neurosurg. Psychiatry 2005, 76:11-14.
34. Resnick S.M., Pham D.L., Kraut M.A., Zonderman A.B., Davatzikos C. Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain. J. Neurosci 2003, 23:295-301.
35. Risacher S.L., Saykin A.J., West J.D., Shen L., Firpi H.A., McDonald B.C. Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort. Curr. Alzheimer Res 2009, 6:347-361.
36. Schneider J.A., Wilson R.S., Bienias J.L., Evans D.A., Bennett D.A. Cerebral infarctions and the likelihood of dementia from Alzheimer disease pathology. Neurology 2004, 62:1148-1155.
37. Schuff N., Woerner N., Boreta L., Kornfield T., Shaw L.M., Trojanowski J.Q., Thompson P.M., Jack C.R., Weiner M.W. MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers. Brain 2009, 132:1067-1077.
38. Shaw L.M., Vanderstichele H., Knapik-Czajka M., Clark C.M., Aisen P.S., Petersen R.C., Blennow K., Soares H., Simon A., Lewczuk P., Dean R., Siemers E., Potter W., Lee V.M., Trojanowski J.Q. Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Ann. Neurol 2009, 65:403-413.
39. Stoub T.R., Bulgakova M., Leurgans S., Bennett D.A., Fleischman D., Turner D.A., deToledo-Morrell L. MRI predictors of risk of incident Alzheimer disease: A longitudinal study. Neurology 2005, 64:1520-1524.
40. Thompson P., Hayashi K., Dutton R., Chiang M., Leow A., Sowell E., De Zubicaray G., Becker J., Lopez O., Aizenstein H., Toga A. Tracking Alzheimer's disease. Ann. N Y Acad. Sci 2007, 1097:183-214.
41. Vapnik V.N. Statistical Learning Theory 1998, Wiley, New York.
42. Vemuri P., Wiste H.J., Weigand S.D., Shaw L.M., Trojanowski J.Q., Weiner M.W., Knopman D.S., Petersen R.C., Jack C.R. Alzheimer's Disease Neuroimaging Initiative. MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical changes. Neurology 2009, 73:294-301.
43. Visser P.J., Verhey F.R., Hofman P.A., Scheltens P., Jolles J. Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment. J. Neurol. Neurosurg. Psychiatry 2002, 72:491-497.