Relating one-year cognitive change in mild cognitive impairment to baseline MRI features

NeuroImage

Volumn 47, Issue 4, 2009, Pages 1363-1370

  Duchesne, Simon ^a,b   Caroli, Anna ^c,d   Geroldi, Cristina ^c   Collins, D Louis ^e   Frisoni, Giovanni B ^c  

^a UNIVERSITÉ LAVAL   (Canada)

^b CENTRE DE RECHERCHE DE L INSTITUT UNIVERSITAIRE EN SANTÉ MENTALE DE QUÉBEC   (Canada)

^c IRCCS ISTITUTO CENTRO SAN GIOVANNI DI DIO FATEBENEFRATELLI   (Italy)

^d MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

^e MCGILL UNIVERSITY   (Canada)

Author keywords

High dimensional analysis; Mild cognitive impairment; Mini Mental Score Examination; MRI; Regression

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; AUTOMATION; COGNITIVE DEFECT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE DURATION; DISEASE SEVERITY; EDUCATIONAL STATUS; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; MINI MENTAL STATE EXAMINATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEX DIFFERENCE; TEMPORAL LOBE;

AGED; ALGORITHMS; ALZHEIMER DISEASE; BRAIN; COGNITION DISORDERS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 67651020812     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.04.023     Document Type: Article

References (44)

1. Ashburner J. A fast diffeomorphic image registration algorithm. NeuroImage 38 1 (2007) 95-113
2. Ashburner J., et al. Computer-assisted imaging to assess brain structure in healthy and diseased brains. Lancet Neurol. 2 2 (2003) 79-88
3. Braak H., and Braak E. Evolution of the neuropathology of Alzheimer's disease. Acta Neurol. Scand. Suppl. 165 (1996) 3-12
4. Carmichael O.T., et al. Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment. NeuroImage 27 4 (2005) 979
5. Chan D., et al. Change in rates of cerebral atrophy over time in early-onset Alzheimer's disease: longitudinal MRI study. Lancet 362 9390 (2003) 1121-1122
6. Chetelat G., and Baron J.C. Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging. NeuroImage 18 2 (2003) 525-541
7. Collins D.L., and Evans A.C. ANIMAL: validation and applications of non-linear registration based segmentation. Int. J. Pattern Recogn. Artif. Intell. 11 8 (1997) 1271-1294
8. Collins D.L., et al. Automatic 3D intersubject registration of MR volumetric data in standardized talairach space. J. Comput. Assist. Tomogr. 18 (1994) 192-205
9. Collins D.L., et al. Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imaging 17 (1998) 463-468
10. Coupe P., et al. An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE Trans. Med. Imaging 27 4 (2008) 425-441
11. Csernansky J.G., et al. Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus. Dementia of the Alzheimer type. Neurology 55 11 (2000) 1636-1643
12. Davatzikos C., et al. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiol. Aging 29 4 (2008) 514-523
13. Deoni S.C., Peters T.M., and Rutt B.K. High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2. Magn. Reson. Med. 53 1 (2005) 237-241
14. Dubois B., and Albert M.L. Amnestic MCI or prodromal Alzheimer's disease?. Lancet Neurol. 3 4 (2004) 246-248
15. Dubois B., et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. Lancet Neurol. 6 8 (2007) 734-746
16. Duchesne S., et al. Predicting clinical variable from MRI features: application to MMSE in MCI. Medical Image Computing and Computer-Assisted Intervention (2005), Springer-Verlag, Palm Springs, CA
17. Duchesne S., et al. Brainstem segmentation protocol. Medical Image Computing and Computer Assisted Intervention - From Statistical Atlases to Personalized Models (Workshop) (2006), MICCAI Society, Copenhagen, Denmark
18. Duchesne S., et al. MRI-based automated computer classification of probable AD versus normal controls. IEEE Trans. Med. Imaging 27 4 (2008) 509-520
19. Duchesne, S., Bocti, C., de Sousa, K., Frisoni, G.B., Chertkow, H., Collins, D.L., in press. Amnestic MCI future clinical status prediction using baseline MRI features. Neurobiol Aging (2008 Oct 21; Electronic publication ahead of print). doi:10.1016/j.neurobiolaging.2008.09.003.
20. Erkinjuntti T., et al. Research criteria for subcortical vascular dementia in clinical trials. J. Neural Transm. Suppl. 59 (2000) 23-30
21. Fan Y., et al. Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. NeuroImage 39 4 (2008) 1731-1743
22. 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
23. Freeborough P.A., and Fox N.C. MR image texture analysis applied to the diagnosis and tracking of Alzheimer's disease. IEEE Trans. Med. Imaging. 17 3 (1998) 475-479
24. Friston K., et al. Bayesian decoding of brain images. NeuroImage 39 1 (2008) 181-205
25. Frisoni G.B., et al. Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry. J. Neurol. Neurosurg. Psychiatry 73 6 (2002) 657-664
26. Frisoni G.B., et al. In vivo neuropathology of the hippocampal formation in AD: a radial mapping MR-based study. NeuroImage 32 (2006) 104-110
27. Grundman M., et al. Brain MRI hippocampal volume and prediction of clinical status in a mild cognitive impairment trial. J. Mol. Neurosci. 19 1-2 (2002) 23-27
28. Hansson O., et al. Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study. Lancet Neurol. 5 3 (2006) 228-234
29. Haxby J.V., et al. Individual trajectories of cognitive decline in patients with dementia of the Alzheimer type. J. Clin. Exp. Neuropsychol. 14 4 (1992) 575-592
30. Kloppel S., et al. Automatic classification of MR scans in Alzheimer's disease. Brain 131 (2008) 681-689
31. Knopman D.S., et al. Antemortem diagnosis of frontotemporal lobar degeneration. Ann. Neurol. 57 4 (2005) 480-488
32. Lao Z., et al. Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 21 1 (2004) 46-57
33. Lerch J.P., et al. Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. Cereb. Cortex 15 7 (2005) 995-1001
34. Mazziotta J.C., et al. A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). NeuroImage 2 2 (1995) 89-101
35. McKeith I.G., et al. Prospective validation of consensus criteria for the diagnosis of dementia with Lewy bodies. Neurology 54 5 (2000) 1050-1058
36. McKhann G., et al. 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 34 7 (1984) 939-944
37. Nasreddine Z.S., et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53 4 (2005) 695-699
38. Petersen R.C., et al. Current concepts in mild cognitive impairment. Arch. Neurol. 58 12 (2001) 1985-1992
39. Petrella J.R., Coleman R.E., and Doraiswamy P.M. Neuroimaging and early diagnosis of Alzheimer disease: a look to the future. Radiology 226 2 (2003) 315-336
40. Radloff L.S. The CES-D scale: a self-report depression scale for research in the general population. Appl. Psychol. Meas. 1 (1977) 385-401
41. Sled J.G., Zijdenbos A.P., and Evans A.C. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging 17 (1998) 87-97
42. Strauss E., Sherman E.M.S., and Spreen O. Mini-Mental State Examination. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary (2006), Oxford University Press, London, UK 168-187
43. Thompson P.M., et al. Dynamics of gray matter loss in Alzheimer's disease. J. Neurosci. 23 3 (2003) 994-1005
44. Thompson P.M., et al. Mapping hippocampal and ventricular change in Alzheimer disease. NeuroImage 22 4 (2004) 1754-1766