Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects

NeuroImage: Clinical

Volumn 4, Issue , 2014, Pages 45-52

  Ewers, Michael ^a,b,c   Brendel, Matthias ^a   Rizk Jackson, Angela ^d   Rominger, Axel ^d   Bartenstein, Peter ^d   Schuff, Norbert ^b,c   Weiner, Michael W ^b,c  

^a LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Conversion; Diagnosis; Executive function; FDG PET; Gray matter volume; Preclinical AD

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ACCURACY; AGED; AREA UNDER THE CURVE; ARTICLE; BRAIN METABOLISM; CONTROLLED STUDY; DEMENTIA; DISEASE COURSE; EXECUTIVE FUNCTION; FEMALE; FOLLOW UP; GRAY MATTER; HUMAN; MALE; MILD COGNITIVE IMPAIRMENT; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PREFRONTAL CORTEX; PRIORITY JOURNAL; PSYCHOLOGIC TEST; RECALL; SCORING SYSTEM; AGING; ALZHEIMER DISEASE; BRAIN CORTEX; DIAGNOSTIC USE; MIDDLE AGED; PATHOLOGY; PHYSIOLOGY; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SCINTISCANNING; STATISTICAL MODEL; VERY ELDERLY; ADULT; BRAIN SIZE; EPISODIC MEMORY; MAJOR CLINICAL STUDY; NEUROIMAGING; PREDICTION;

AGED; AGED, 80 AND OVER; AGING; ALZHEIMER DISEASE; CEREBRAL CORTEX; DISEASE PROGRESSION; EXECUTIVE FUNCTION; FEMALE; FLUORODEOXYGLUCOSE F18; GRAY MATTER; HUMANS; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NEUROPSYCHOLOGICAL TESTS; POSITRON-EMISSION TOMOGRAPHY; PREDICTIVE VALUE OF TESTS; ROC CURVE;

EID: 84888606928     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2013.10.018     Document Type: Article

References (36)

1. M.S. Albert, S.T. DeKosky, D. Dickson, B. Dubois, H.H. Feldman, N.C. Fox, A. Gamst, D.M. Holtzman, W.J. Jagust, R.C. Petersen, P.J. Snyder, M.C. Carrillo, B. Thies, and C.H. Phelps The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement. 7 2011 270 279
2. J. Ashburner A fast diffeomorphic image registration algorithm NeuroImage 38 2007 95 113 (Pubitemid 47440133)
3. J. Ashburner, and K.J. Friston Unified segmentation NeuroImage 26 2005 839 851 (Pubitemid 40825026)
4. S.R. Chamberlain, A.D. Blackwell, P.J. Nathan, G. Hammond, T.W. Robbins, J.R. Hodges, A. Michael, J.M. Semple, E.T. Bullmore, and B.J. Sahakian Differential cognitive deterioration in dementia: a two year longitudinal study J. Alzheimers Dis. 24 2011 125 136
5. E. Chary, H. Amieva, K. Pérès, J.-M. Orgogozo, J.-F. Dartigues, and H. Jacqmin-Gadda Short- versus long-term prediction of dementia among subjects with low and high educational levels Alzheimers Dement. 9 2013 562 571
6. G.C. Chiang, P.S. Insel, D. Tosun, N. Schuff, D. Truran-Sacrey, S. Raptentsetsang, C.R. Jack Jr., and M.W. Weiner Identifying cognitively healthy elderly individuals with subsequent memory decline by using automated MR temporoparietal volumes Radiology 259 2011 844 851
7. J. Cohen A power primer Psychol. Bull. 112 1992 155 159
8. V. Condret-Santi, E.J. Barbeau, F. Matharan, M. Le Goff, J.F. Dartigues, and H. Amieva Prevalence of word retrieval complaint and prediction of dementia in a population-based study of elderly subjects Dement. Geriatr. Cogn. Disord. 35 2013 313 324
9. M.J. de Leon, A. Convit, O.T. Wolf, C.Y. Tarshish, S. DeSanti, H. Rusinek, W. Tsui, E. Kandil, A.J. Scherer, A. Roche, A. Imossi, E. Thorn, M. Bobinski, C. Caraos, P. Lesbre, D. Schlyer, J. Poirier, B. Reisberg, and J. Fowler Prediction of cognitive decline in normal elderly subjects with 2-[(18)F]fluoro-2-deoxy-d-glucose/positron-emission tomography (FDG/PET) Proc. Natl. Acad. Sci. U. S. A. 98 2001 10966 10971 (Pubitemid 32878727)
10. T. den Heijer, M.I. Geerlings, F.E. Hoebeek, A. Hofman, P.J. Koudstaal, and M.M. Breteler Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people Arch. Gen. Psychiatry 63 2006 57 62 (Pubitemid 43037469)
11. R.S. Desikan, L.K. McEvoy, W.K. Thompson, D. Holland, J.B. Brewer, P.S. Aisen, R.A. Sperling, and A.M. Dale Amyloid-beta-associated clinical decline occurs only in the presence of elevated P-tau Arch. Neurol. 69 2012 709 713
12. B.C. Dickerson, T.R. Stoub, R.C. Shah, R.A. Sperling, R.J. Killiany, M.S. Albert, B.T. Hyman, D. Blacker, and L. Detoledo-Morrell Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults Neurology 76 2011 1395 1402
13. B.C. Dickerson, and D.A. Wolk MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults Neurology 78 2012 84 90
14. B. Dubois, H.H. Feldman, C. Jacova, S.T. Dekosky, P. Barberger-Gateau, J. Cummings, A. Delacourte, D. Galasko, S. Gauthier, G. Jicha, K. Meguro, J. O'Brien, F. Pasquier, P. Robert, M. Rossor, S. Salloway, Y. Stern, P.J. Visser, and P. Scheltens Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria Lancet Neurol. 6 2007 734 746 (Pubitemid 47058377)
15. M. Ewers, C. Walsh, J.Q. Trojanowski, L.M. Shaw, R.C. Petersen, C.R. Jack Jr., H.H. Feldman, A.L. Bokde, G.E. Alexander, P. Scheltens, B. Vellas, B. Dubois, M. Weiner, and H. Hampel Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance Neurobiol. Aging 33 2012 1203 1214
16. C. Hutton, B. Draganski, J. Ashburner, and N. Weiskopf A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging NeuroImage 48 2009 371 380
17. C.R. Jack Jr., M.A. Bernstein, N.C. Fox, P. Thompson, G. Alexander, D. Harvey, B. Borowski, P.J. Britson, J.L. Whitwell, C. Ward, A.M. Dale, J.P. Felmlee, J.L. Gunter, D.L. Hill, R. Killiany, N. Schuff, S. Fox-Bosetti, C. Lin, C. Studholme, C.S. DeCarli, G. Krueger, H.A. Ward, G.J. Metzger, K.T. Scott, R. Mallozzi, D. Blezek, J. Levy, J.P. Debbins, A.S. Fleisher, M. Albert, R. Green, G. Bartzokis, G. Glover, J. Mugler, and M.W. Weiner The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods J. Magn. Reson. Imaging 27 2008 685 691 (Pubitemid 351508080)
18. W. Jagust, A. Gitcho, F. Sun, B. Kuczynski, D. Mungas, and M. Haan Brain imaging evidence of preclinical Alzheimer's disease in normal aging Ann. Neurol. 59 2006 673 681
19. A. Joshi, R.A. Koeppe, and J.A. Fessler Reducing between scanner differences in multi-center PET studies NeuroImage 46 2009 154 159
20. G.M. McKhann, D.S. Knopman, H. Chertkow, B.T. Hyman, C.R. Jack Jr., C.H. Kawas, W.E. Klunk, W.J. Koroshetz, J.J. Manly, R. Mayeux, R.C. Mohs, J.C. Morris, M.N. Rossor, P. Scheltens, M.C. Carrillo, B. Thies, S. Weintraub, and C.H. Phelps The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement. 7 2011 263 269
21. L. Mosconi Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. FDG-PET studies in MCI and AD Eur. J. Nucl. Med. Mol. Imaging 32 2005 486 510 (Pubitemid 40591181)
22. L. Mosconi, S. De Santi, J. Li, W.H. Tsui, Y. Li, M. Boppana, E. Laska, H. Rusinek, and M.J. de Leon Hippocampal hypometabolism predicts cognitive decline from normal aging Neurobiol. Aging 29 2008 676 692 (Pubitemid 351400830)
23. A. Nordberg, S.F. Carter, J. Rinne, A. Drzezga, D.J. Brooks, R. Vandenberghe, D. Perani, A. Forsberg, B. Langstrom, N. Scheinin, M. Karrasch, K. Nagren, T. Grimmer, I. Miederer, P. Edison, A. Okello, K. Van Laere, N. Nelissen, M. Vandenbulcke, V. Garibotto, O. Almkvist, E. Kalbe, R. Hinz, and K. Herholz A European multicentre PET study of fibrillar amyloid in Alzheimer's disease Eur. J. Nucl. Med. Mol. Imaging 40 2013 104 114
24. A. Okello, J. Koivunen, P. Edison, H.A. Archer, F.E. Turkheimer, K. Nagren, R. Bullock, Z. Walker, A. Kennedy, N.C. Fox, M.N. Rossor, J.O. Rinne, and D.J. Brooks Conversion of amyloid positive and negative MCI to AD over 3 years: an 11C-PIB PET study Neurology 73 2009 754 760
25. A. Prestia, A. Caroli, W.M. van der Flier, R. Ossenkoppele, B. Van Berckel, F. Barkhof, C.E. Teunissen, A.E. Wall, S.F. Carter, M. Scholl, I.H. Choo, A. Nordberg, P. Scheltens, and G.B. Frisoni Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease Neurology 80 2013 1048 1056
26. R. Reitan, and D. Wolfson The Halstead-Reitan Neuropsychological Test Battery 1985 Neuropsychological Press Tucson
27. A. Rey L'examen clinique en psychologie 1964 Press Universitaires de France Paris
28. O.G. Rousset, Y. Ma, and A.C. Evans Correction for partial volume effects in PET: principle and validation J. Nucl. Med. 39 1998 904 911 (Pubitemid 28216748)
29. H. Rusinek, S. De Santi, D. Frid, W.H. Tsui, C.Y. Tarshish, A. Convit, and M.J. de Leon Regional brain atrophy rate predicts future cognitive decline: 6-year longitudinal MR imaging study of normal aging Radiology 229 2003 691 696 (Pubitemid 37467570)
30. L. Scheef, A. Spottke, M. Daerr, A. Joe, N. Striepens, H. Kolsch, J. Popp, M. Daamen, D. Gorris, M.T. Heneka, H. Boecker, H.J. Biersack, W. Maier, H.H. Schild, M. Wagner, and F. Jessen Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment Neurology 79 2012 1332 1339
31. L.M. Shaw, H. Vanderstichele, M. Knapik-Czajka, C.M. Clark, P.S. Aisen, R.C. Petersen, K. Blennow, H. Soares, A. Simon, P. Lewczuk, R. Dean, E. Siemers, W. Potter, V.M. Lee, and J.Q. Trojanowski Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects Ann. Neurol. 65 2009 403 413
32. C.D. Smith, H. Chebrolu, D.R. Wekstein, F.A. Schmitt, G.A. Jicha, G. Cooper, and W.R. Markesbery Brain structural alterations before mild cognitive impairment Neurology 68 2007 1268 1273 (Pubitemid 46625972)
33. R.A. Sperling, P.S. Aisen, L.A. Beckett, D.A. Bennett, S. Craft, A.M. Fagan, T. Iwatsubo, C.R. Jack Jr., J. Kaye, T.J. Montine, D.C. Park, E.M. Reiman, C.C. Rowe, E. Siemers, Y. Stern, K. Yaffe, M.C. Carrillo, B. Thies, M. Morrison-Bogorad, M.V. Wagster, and C.H. Phelps Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement. 7 2011 280 292
34. M. Tondelli, G.K. Wilcock, P. Nichelli, C.A. De Jager, M. Jenkinson, and G. Zamboni Structural MRI changes detectable up to ten years before clinical Alzheimer's disease Neurobiol. Aging 33 2012 825.e825 825.e836
35. A.M. Winkler, P. Kochunov, J. Blangero, L. Almasy, K. Zilles, P.T. Fox, R. Duggirala, and D.C. Glahn Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies NeuroImage 53 2010 1135 1146
36. K.K. Zakzanis, R. Mraz, and S.J. Graham An fMRI study of the Trail Making Test Neuropsychologia 43 2005 1878 1886 (Pubitemid 41317404)