Research ArticleBrain
Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease
G. Karas, J. Sluimer, R. Goekoop, W. van der Flier, S.A.R.B. Rombouts, H. Vrenken, P. Scheltens, N. Fox and F. Barkhof
American Journal of Neuroradiology May 2008, 29 (5) 944-949; DOI: https://doi.org/10.3174/ajnr.A0949
G. Karas
J. Sluimer
R. Goekoop
W. van der Flier
S.A.R.B. Rombouts
H. Vrenken
P. Scheltens
N. Fox

References
- ↵Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med 2004;256:183–94
- ↵Petersen RC, Doody R, Kurz A, et al. Current concepts in mild cognitive impairment. Arch Neurol 2001;58:1985–92
- ↵Grundman M, Jack CR Jr, Petersen RC, et al. Hippocampal volume is associated with memory but not monmemory cognitive performance in patients with mild cognitive impairment. J Mol Neurosci 2003;20:241–48
- ↵Jack CR Jr, Shiung MM, Weigand SD, et al. Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology 2005;65:1227–31
- ↵Baron JC, Chetelat G, Desgranges B, et al. In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease. Neuroimage 2001;14:298–309
- ↵Chetelat G, Desgranges B, De La Sayette V, et al. Mild cognitive impairment: can FDG-PET predict who is to rapidly convert to Alzheimer's disease? Neurology 2003;60:1374–77
- Pennanen C, Testa C, Laakso MP, et al. A voxel-based morphometry study on mild cognitive impairment. J Neurol Neurosurg Psychiatry 2005;76:11–14
- ↵Karas GB, Scheltens P, Rombouts SA, et al. Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease. Neuroimage 2004;23:708–16
- ↵van der Flier WM, van den Heuvel DM, Weverling-Rijnsburger AW, et al. Magnetization transfer imaging in normal aging, mild cognitive impairment, and Alzheimer's disease. Ann Neurol 2002;52:62–67
- ↵Devanand DP, Pradhaban G, Liu X, et al. Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease. Neurology 2007;68:828–36
- ↵Apostolova LG, Dutton RA, Dinov ID, et al. Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps. Arch Neurol 2006;63:693–99
- ↵Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–98
- ↵McKhann G, Drachman D, Folstein M, 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 1984;34:939–44
- ↵
- ↵Scheltens P, Leys D, Barkhof F, et al. Atrophy of medial temporal lobes on MRI in “probable” Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry 1992;55:967–72
- ↵Korf ES, Wahlund LO, Visser PJ, et al. Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment. Neurology 2004;63:94–100
- ↵Smith SM, Zhang Y, Jenkinson M, et al. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002;17:479–89
- ↵Ashburner J, Friston KJ. Voxel-based morphometry: the methods. Neuroimage 2000;11:805–21
- ↵Karas GB, Burton EJ, Rombouts SA, et al. A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. Neuroimage 2003;18:895–907
- ↵Smith SM. Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143–55
- ↵Woods RP. Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation. Neuroimage 2003;18:769–88
- ↵Davatzikos C, Genc A, Xu D, et al. Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy. Neuroimage 2001;14:1361–69
- ↵Brett M, Anton JL, Valabregue R, et al. Region of interest analysis using an SPM toolbox. Presented at: 8th International Conference on Functional Mapping of the Human Brain, Sendai, Japan, June 2–6,2002
- ↵Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002;15:273–89
- ↵Chetelat G, Landeau B, Eustache F, et al. Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study. Neuroimage 2005;27:934–46
- ↵Bell-McGinty S, Lopez OL, Meltzer CC, et al. Differential cortical atrophy in subgroups of mild cognitive impairment. Arch Neurol 2005;62:1393–97
- DeToledo-Morrell L, Stoub TR, Bulgakova M, et al. MRI-derived entorhinal volume is a good predictor of conversion from MCI to AD. Neurobiol Aging 2004;25:1197–203
- ↵Killiany RJ, Hyman BT, Gomez-Isla T, et al. MRI measures of entorhinal cortex vs hippocampus in preclinical AD. Neurology 2002;58:1188–96
- ↵Braak E, Griffing K, Arai K, et al. Neuropathology of Alzheimer's disease: what is new since A. Alzheimer? Eur Arch Psychiatry Clin Neurosci 1999;249 (suppl 3):14–22
- ↵Chetelat G, Desgranges B, De La Sayette V, et al. Dissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment. Brain 2003;126:1955–67
- ↵Borroni B, Anchisi D, Paghera B, et al. Combined 99mTc-ECD SPECT and neuropsychological studies in MCI for the assessment of conversion to AD. Neurobiol Aging 2006;27:24–31. Epub 2005 Mar 24
- Drzezga A, Grimmer T, Riemenschneider M, et al. Prediction of individual clinical outcome in MCI by means of genetic assessment and (18)F-FDG PET. J Nucl Med 2005;46:1625–32
- Drzezga A, Lautenschlager N, Siebner H, et al. Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer's disease: a PET follow-up study. Eur J Nucl Med Mol Imaging 2003;30:1104–13
- ↵Anchisi D, Borroni B, Franceschi M, et al. Heterogeneity of brain glucose metabolism in mild cognitive impairment and clinical progression to Alzheimer disease. Arch Neurol 2005;62:1728–33
- ↵Ashburner J, Friston KJ. Why voxel-based morphometry should be used. Neuroimage 2001;14:1238–43
- ↵Bookstein FL. “Voxel-based morphometry” should not be used with imperfectly registered images. Neuroimage 2001;14:1454–62
- ↵Thompson PM, Mega MS, Woods RP, et al. Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. Cereb Cortex 2001;11:1–16
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G. Karas, J. Sluimer, R. Goekoop, W. van der Flier, S.A.R.B. Rombouts, H. Vrenken, P. Scheltens, N. Fox, F. Barkhof
Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease
American Journal of Neuroradiology May 2008, 29 (5) 944-949; DOI: 10.3174/ajnr.A0949
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Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease
G. Karas, J. Sluimer, R. Goekoop, W. van der Flier, S.A.R.B. Rombouts, H. Vrenken, P. Scheltens, N. Fox, F. Barkhof
American Journal of Neuroradiology May 2008, 29 (5) 944-949; DOI: 10.3174/ajnr.A0949
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