The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment - Beyond classical regression

NeuroImage: Clinical

Volumn 8, Issue , 2015, Pages 583-593

  Teipel, Stefan J ^a,b   Kurth, Jens ^b   Krause, Bernd ^b   Grothe, Michel J ^a  

^a GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

^b ROSTOCK UNIVERSITY MEDICAL CENTER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMYLOID; FLUORODEOXYGLUCOSE; ANILINE DERIVATIVE; BIOLOGICAL MARKER; ETHYLENE GLYCOL DERIVATIVE; FLORBETAPIR; FLUORINE; FLUORODEOXYGLUCOSE F 18;

AGED; ALZHEIMER DISEASE; ARTICLE; ASSOCIATION CORTEX; AUDITORY VERBAL LEARNING TEST; AV45 POSITRON EMISSION TOMOGRAPHY; BRAIN SIZE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EXECUTIVE FUNCTION; FEMALE; FLUORODEOXYGLUCOSE POSITRON EMISSION TOMOGRAPHY; FOLLOW UP; GLUCOSE INTAKE; GRAY MATTER; HIPPOCAMPUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDIAL TEMPORAL LOBE; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATUS EXAMINATION; MULTIMODAL IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; POSITRON EMISSION TOMOGRAPHY; POSTERIOR CINGULATE; PRECUNEUS; PREDICTION; PRIORITY JOURNAL; PSYCHOLOGIC TEST; SUPPORT VECTOR MACHINE; VOLUMETRIC MAGNETIC RESONANCE IMAGING; WECHSLER MEMORY SCALE; WHITE MATTER; COGNITIVE DYSFUNCTION; DIAGNOSTIC IMAGING; DISEASE COURSE; PATHOLOGY; PREDICTIVE VALUE; PROGNOSIS; STANDARDS; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ANILINE COMPOUNDS; BIOMARKERS; COGNITIVE DYSFUNCTION; DISEASE PROGRESSION; ETHYLENE GLYCOLS; FEMALE; FLUORINE RADIOISOTOPES; FLUORODEOXYGLUCOSE F18; FOLLOW-UP STUDIES; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; POSITRON-EMISSION TOMOGRAPHY; PREDICTIVE VALUE OF TESTS; PROGNOSIS;

EID: 84933532290     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.05.006     Document Type: Article

References (47)

1. Altman D.G., and Andersen P.K. Bootstrap investigation of the stability of a Cox regression model Stat. Med. 8 7 1989 771 783 10.1002/sim.4780080702 2672226
2. Ashburner J. A fast diffeomorphic image registration algorithm Neuroimage 38 1 2007 95 113 10.1016/j.neuroimage.2007.07.007 17761438
3. Belsley D.A. Conditioning Diagnostics: Collinearity and Weak Data in Regression 1991 John Wiley & Sons ChichesterU.K
4. Bokde A.L., Pietrini P., Ibáñez V., Furey M.L., Alexander G.E., Graff-Radford N.R., Rapoport S.I., Schapiro M.B., and Horwitz B. The effect of brain atrophy on cerebral hypometabolism in the visual variant of Alzheimer disease Arch. Neurol. 58 3 2001 480 486 10.1001/archneur.58.3.480 11255453
5. Bokde A.L., Teipel S.J., Drzezga A., Thissen J., Bartenstein P., Dong W., Leinsinger G., Born C., Schwaiger M., Moeller H.J., and Hampel H. Association between cognitive performance and cortical glucose metabolism in patients with mild Alzheimer's disease Dement. Geriatr. Cogn. Disord. 20 6 2005 352 357 10.1159/000088558 16192725
6. Booth G.D., Niccolucci M.J., and Schuster E.G. Identifying proxy sets in multiple linear-regression - an aid to better coefficient interpretation USDA Forest Serv. Intermountain Res. Stn. Res. Pap. 1994 1 13
7. Braak H., and Braak E. Neuropathological stageing of Alzheimer-related changes Acta Neuropathol. 82 4 1991 239 259 10.1007/BF00308809 1759558
8. Camus V., Payoux P., Barré L., Desgranges B., Voisin T., Tauber C., La Joie R., Tafani M., Hommet C., Chételat G., Mondon K., de la Sayette V., Cottier J.P., Beaufils E., Ribeiro M.J., Gissot V., Vierron E., Vercouillie J., Vellas B., Eustache F., and Guilloteau D. Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment Eur. J. Nucl. Med. Mol. Imaging 39 4 2012 621 631 10.1007/s00259-011-2021-8 22252372
9. Chen X., Li M., Wang S., Zhu H., Xiong Y., and Liu X. Pittsburgh compound B retention and progression of cognitive status - a meta-analysis Eur. J. Neurol. 21 8 2014 1060 1067 10.1111/ene.12398 24612390
10. Clark C.M., Schneider J.A., Bedell B.J., Beach T.G., Bilker W.B., Mintun M.A., Pontecorvo M.J., Hefti F., Carpenter A.P., Flitter M.L., Krautkramer M.J., Kung H.F., Coleman R.E., Doraiswamy P.M., Fleisher A.S., Sabbagh M.N., Sadowsky C.H., Reiman E.P., Zehntner S.P., and Skovronsky D.M. Use of florbetapir-PET for imaging beta-amyloid pathology JAMA 305 3 2011 275 283 10.1001/jama.2010.2008 21245183
11. Cohen A.D., and Klunk W.E. Early detection of Alzheimer's disease using PiB and FDG PET Neurobiol. Dis. 72 2014 117 122 10.1016/j.nbd.2014.05.001 24825318
12. Cox D.R., and Oakes D. Analysis of Survival Data 1984 Chapman and Hall London, New York
13. Dormann C.F., Elith J., Bacher S., Buchmann C., Carl G., Carré G., Marquéz J.R.G., Gruber B., Lafourcade B., Leitão P.J., Münkemüller T., McClean C., Osborne P.E., Reineking B., Schröder B., Skidmore A.K., Zurell D., and Lautenbach S. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance Ecography 36 1 2013 27 46 10.1111/j.1600-0587.2012.07348.x
14. Duara R., Loewenstein D.A., Greig M.T., Potter E., Barker W., Raj A., Schinka J., Borenstein A., Schoenberg M., Wu Y., Banko J., and Potter H. Pre-MCI and MCI: neuropsychological, clinical, and imaging features and progression rates Am. J. Geriatr. Psychiatry 19 11 2011 951 960 10.1097/JGP.0b013e3182107c69 21422909
15. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification second edition 2001 John Wiley & Sons New YorkNY
16. Eckerström C., Olsson E., Klasson N., Berge J., Nordlund A., Bjerke M., and Wallin A. Multimodal prediction of dementia with up to 10 years follow up: the Gothenburg MCI Study J. Alzheimers Dis. 44 1 2015 205 214 10.3233/JAD-141053 25201779
17. Erlandsson K., Buvat I., Pretorius P.H., Thomas B.A., and Hutton B.F. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology Phys. Med. Biol. 57 21 2012 R119 R159 10.1088/0031-9155/57/21/R119 23073343
18. Ewers M., Walsh C., Trojanowski J.Q., Shaw L.M., Petersen R.C., Jack C.R. Jr., Feldman H.H., Bokde A.L., Alexander G.E., Scheltens P., Vellas B., Dubois B., Weiner M., Hampel H. North American Alzheimer's Disease Neuroimaging Initiative Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance Neurobiol. Aging 33 7 2012 1203 1214 10.1016/j.neurobiolaging.2010.10.019 21159408
19. Farrar D.E., and Glauber R.R. Multicollinearity in regression analysis: the problem revisited Rev. Econ. Stat. 49 1 1967 92 107 10.2307/1937887
20. Folstein M.F., Folstein S.E., and McHugh P.R. Mini-mental-state: a practical method for grading the cognitive state of patients for the clinician J. Psychiatr. Res. 12 3 1975 189 198 10.1016/0022-3956(75)90026-6 1202204
21. Friedman J., Hastie T., and Tibshirani R. Regularization paths for generalized linear models via coordinate descent J Stat Softw 33 1 2010 1 22 20808728
22. Grimmer T., Wutz C., Drzezga A., Förster S., Förstl H., Ortner M., Perneczky R., and Kurz A. The usefulness of amyloid imaging in predicting the clinical outcome after two years in subjects with mild cognitive impairment Curr. Alzheimer Res. 10 1 2013 82 85 23036071
23. Grothe M., Heinsen H., and Teipel S. Longitudinal measures of cholinergic forebrain atrophy in the transition from healthy aging to Alzheimer's disease Neurobiol. Aging 34 4 2013 1210 1220 10.1016/j.neurobiolaging.2012.10.018 23158764
24. Hammers A., Allom R., Koepp M.J., Free S.L., Myers R., Lemieux L., Mitchell T.N., Brooks D.J., and Duncan J.S. Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe Hum. Brain Mapp. 19 4 2003 224 247 10.1002/hbm.10123 12874777
25. Hastie T., Tibshirani R., and Friedman J. The Elements of Statistical Learning - Data Mining Inference, and Prediction second edition edition 2009 Springer New York
26. Hatashita S., and Yamasaki H. Diagnosed mild cognitive impairment due to Alzheimer's disease with PET biomarkers of beta amyloid and neuronal dysfunction PLOS One 8 6 2013 e66877 10.1371/journal.pone.0066877 23799136
27. Hoerl A.E., and Kennard R.W. Ridge regression - biased estimation for nonorthogonal problems Technometrics 12 1 1970 55 67 10.1080/00401706.1970.10488634
28. Ibáñez V., Pietrini P., Alexander G.E., Furey M.L., Teichberg D., Rajapakse J.C., Rapoport S.I., Schapiro M.B., and Horwitz B. Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer's disease Neurol. 50 6 1998 1585 1593 10.1212/WNL.50.6.1585 9633698
29. Jack C.R. Jr. Alzheimer disease: new concepts on its neurobiology and the clinical role imaging will play Radiology 263 2 2012 344 361 10.1148/radiol.12110433 22517954
30. Karatzoglou A., Meyer D., and Hornik K. Support vector machines in R J. Stat. Softw. 15 2006
31. Lockhart R., Taylor J., Tibshirani R.J., and Tibshirani R. A significance test for the lasso Ann. Statist. 42 2 2014 413 468 10.1214/13-AOS1175
32. Mevel K., Desgranges B., Baron J.C., Landeau B., De la Sayette V., Viader F., Eustache F., and Chételat G. Detecting hippocampal hypometabolism in mild cognitive impairment using automatic voxel-based approaches Neuroimage 37 1 2007 18 25 10.1016/j.neuroimage.2007.04.048 17566762
33. Mosconi L. Glucose metabolism in normal aging and Alzheimer's disease: methodological and physiological considerations for PET studies Clin. Trans. Imaging 1 2013
34. Müller-Gärtner H.W., Links J.M., Prince J.L., Bryan R.N., McVeigh E., Leal J.P., Davatzikos C., and Frost J.J. Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects J. Cerebr. Blood Flow Metab. 12 4 1992 571 583 10.1038/jcbfm.1992.81 1618936
35. Okello A., Koivunen J., Edison P., Archer H.A., Turkheimer F.E., Nagren K., Bullock R., Walker Z., Kennedy A., Fox N.C., Rossor M.N., Rinne J.O., and Brooks D.J. Conversion of amyloid positive and negative MCI to AD over 3 years: an 11C-PIB PET study Neurology 73 10 2009 754 760 10.1212/WNL.0b013e3181b23564 19587325
36. Query W.T., and Berger R.A. AVLT memory scores as a function of age among general medical, neurologic and alcoholic patients J. Clin. Psychol. 36 4 1980 1009 1012 10.1002/1097-4679(198010)36:4<1009::AID-JCLP2270360433>3.0.CO;2-N 7440727
37. Teipel S.J., Grothe M., Lista S., Toschi N., Garaci F.G., and Hampel H. Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease Med. Clin. North Am. 97 3 2013 399 424 10.1016/j.mcna.2012.12.013 23642578
38. Thomas B.A., Erlandsson K., Modat M., Thurfjell L., Vandenberghe R., Ourselin S., and Hutton B.F. The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease Eur. J. Nucl. Med. Mol. Imaging 38 6 2011 1104 1119 10.1007/s00259-011-1745-9 21336694
39. Tibshirani R. Regression shrinkage and selection via the lasso J. R. Stat. Soc. B Stat. Methodol. 58 1996 267 288
40. Tibshirani R. Regression shrinkage and selection via the lasso: a retrospective J. R. Stat. Soc. B Stat. Methodol. 73 3 2011 273 282 10.1111/j.1467-9868.2011.00771.x
41. Trzepacz P.T., Yu P., Sun J., Schuh K., Case M., Witte M.M., Hochstetler H., Hake A. Alzheimer's Disease Neuroimaging Initiative Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia Neurobiol. Aging 35 1 2014 143 151 10.1016/j.neurobiolaging.2013.06.018 23954175
42. van Rossum I.A., Vos S.J., Burns L., Knol D.L., Scheltens P., Soininen H., Wahlund L.O., Hampel H., Tsolaki M., Minthon L., L'Italien G., van der Flier W.M., Teunissen C.E., Blennow K., Barkhof F., Rueckert D., Wolz R., Verhey F., and Visser P.J. Injury markers predict time to dementia in subjects with MCI and amyloid pathology Neurology 79 17 2012 1809 1816 10.1212/WNL.0b013e3182704056 23019259
43. Wechsler D. Wechsler Memory Scale - Revised 1987 The Psychological Corporation New York
44. Wolk D.A., Price J.C., Saxton J.A., Snitz B.E., James J.A., Lopez O.L., Aizenstein H.J., Cohen A.D., Weissfeld L.A., Mathis C.A., Klunk W.E., De-Kosky S.T., and DeKoskym S.T. Amyloid imaging in mild cognitive impairment subtypes Ann. Neurol. 65 5 2009 557 568 10.1002/ana.21598 19475670
45. Young J., Modat M., Cardoso M.J., Mendelson A., Cash D., Ourselin S. Alzheimer's Disease Neuroimaging Initiative Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment Neuroimage Clin. 2 2013 735 745 10.1016/j.nicl.2013.05.004 24179825
46. Zou H., and Hastie T. Regularization and variable selection via the elastic net J. R. Stat. Soc. 67 2 2005 301 320 10.1111/j.1467-9868.2005.00503.x
47. Zou H., and Zhang H.H. On the adaptive elastic-net with a diverging number of parameters Ann. Stat. 37 4 2009 1733 1751 10.1214/08-AOS625 20445770