Breteler, M. M. (2011). Mapping out biomarkers for Alzheimer disease. JAMA, 305, 304–305.
Carmichael, O. T. et al. (2005a). Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment. Neuroimage, 27, 979–990.
Carmichael, O. T. et al. (2005b). Dementia-associated ventricular volume changes in a community cohort. Neuroimage, 26, S47.
Carmichael, O. T. et al. (2007). Cerebral ventricular changes associated with transitions between normal cognitive function, mild cognitive impairment, and dementia. Alzheimer Disease and Related Disorders, 21, 14–24.
Chui, H. C., Victoroff, J. I., Margolin, D., Jagust, W., Shankle, R. and Katzman, R. (1992). Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer's Disease Diagnostic and Treatment Centers. Neurology, 42, 473–480.
de Leon, M. J. et al. (1984). Positron emission tomography and computed tomography assessments of the aging human brain. Journal of Computer Assisted Tomography, 8, 88–94.
de Leon, M. J., George, A. E. and Reisberg, B. (1989). Alzheimer's disease: longitudinal CT studies of ventricular change. American Journal of Roentgenology, 152, 1257–1262.
de Leon, M. J. et al. (1993). The radiologic prediction of Alzheimer disease: the atrophic hippocampal formation. American Journal of Neuroradiology, 14, 897–906.
Duara, R. et al. (2008). Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease. Neurology, 71, 1986–1992.
Dubois, B., Picard, G. and Sarazin, M. (2009). Early detection of Alzheimer's disease: new diagnostic criteria. Dialogues in Clinical Neurosciences, 11, 135–139.
Erickson, K. I. et al. (2010). Physical activity predicts gray matter volume in late adulthood: the cardiovascular health study. Neurology, 75, 1415–1422.
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.
Ganguli, M., Snitz, B., Vander Bilt, J. and Chang, C. C. (2009). How much do depressive symptoms affect cognition at the population level? The Monongahela-Youghiogheny Healthy Aging Team (MYHAT) study. International Journal of Geriatric Psychiatry, 24, 1277–1284.
Ganguli, M., Chang, C. C., Snitz, B. E., Saxton, J. A., Vanderbilt, J. and Lee, C. W. (2010a). Prevalence of mild cognitive impairment by multiple classifications: the Monongahela-Youghiogheny Healthy Aging Team (MYHAT) project. American Journal of Geriatric Psychiatry, 18, 674–683.
Ganguli, M., Snitz, B. E., Lee, C. W., Vanderbilt, J., Saxton, J. A. and Chang, C. C. (2010b). Age and education effects and norms on a cognitive test battery from a population-based cohort: the Monongahela-Youghiogheny Healthy Aging Team. Aging and Mental Health, 14, 100–107.
Gorelick, P. B. et al. (2011). Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 42, 2672–2713.
Hughes, C. P., Berg, L. and Danzinger, W. L. (1982). A new clinical scale for the staging of dementia. British Journal of Psychiatry, 140, 566–572.
McKhann, G. M. et al. (2011). The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging and the Alzheimer's Association workgroup. Alzheimer's and Dementia, 7, 263–269.
Morris, J. C. et al. (1993). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part IV. Rates of cognitive change in the longitudinal assessment of probable Alzheimer's disease. Neurology, 43, 2457–2465.
Mueller, S. G. et al. (2005). The Alzheimer's disease neuroimaging initiative. Neuroimaging Clinics of North America, 15, 869–877.
Mungas, D., Reed, B. R., Tomaszewski-Farias, S. and DeCarli, C. (2005). Criterion-referenced validity of a neuropsychological test battery: equivalent performance in elderly Hispanics and non-Hispanic Whites. Journal of the International Neuropsychological Society, 11, 620–630.
Patenaude, B., Smith, S. M., Kennedy, D. N. and Jenkinson, M. (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage, 56, 907–922.
Raji, C. A., Lopez, O. L., Kuller, L. H., Carmichael, O. T. and Becker, J. T. (2009). Age, Alzheimer disease, and brain structure. Neurology, 73, 1899–1905.
Raji, C. A. et al. (2010). Brain structure and obesity. Human Brain Mapping, 31, 353–364.
Raji, C. A. et al. (2012). White matter lesions and brain gray matter volume in cognitively normal elders. Neurobiology of Aging, 33, 834.e7–834.e16. Epub 2011 Sep 23.
Román, G. C. et al. (1993). Vascular dementia: diagnostic criteria for research studies: report of the NINDS-AIREN International Workshop. Neurology, 43, 250–260.
Satz, P. (1991). Brain reserve capacity on symptom onset after brain injury: a formulation and review of evidence of threshold theory. Neuropsychology, 7, 273–295.
Satz, P. et al. (1993). Low education as a possible risk factor for early cognitive abnormalities in HIV1: new findings from the Multicenter AIDS Cohort Study (MACS). Journal of Acquired Immune Deficiency Syndromes, 6, 503–511.
Stern, Y., Alexander, G. E., Prohovnik, I. and Mayeux, R. (1992). Inverse relationship between education and parietotemporal perfusion deficit in Alzheimer's disease. Annals of Neurology, 32, 371–375.
Teverovsky, L. et al. (2011). Brain extraction by deformable registration, Presented at the 17th Annual Meeting of the Ogranizagtion for Human Brain Mapping, Quebec City, June 26–30.
Urs, R. et al. (2009). Visual rating system for assessing magnetic resonance images: a tool in the diagnosis of mild cognitive impairment and Alzheimer disease. Journal of Computer Assisted Tomography, 33, 73–78.
Weir, D. R. et al. (2011). Reducing case ascertainment costs in US population studies of Alzheimer's disease, dementia, and cognitive impairment–part 1. Alzheimer's and Dementia, 7, 94–109.