Confirmatory factor analysis of the ADNI neuropsychological battery

Brain Imaging and Behavior

Volumn 6, Issue 4, 2012, Pages 528-539

  Park, Lovingly Quitania ^a   Gross, Alden L ^b   McLaren, Donald G ^b,d,e   Pa, Judy ^c   Johnson, Julene K ^c,f   Mitchell, Meghan ^b,d,e   Manly, Jennifer J ^g  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d VETERANS AFFAIRS MEDICAL CENTER   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g NewYork Presbyterian Hospital   (United States)

Author keywords

ADNI; Cognition; Cognitive change; Confirmatory factor analysis; Neuropsychology

Indexed keywords

ALZHEIMER DISEASE; ALZHEIMER DISEASE NEUROIMAGING INITIATIVE; ARTICLE; CLINICAL DEMENTIA RATING SCALE; COGNITION; CONFIRMATORY FACTOR ANALYSIS; DEMENTIA; DEMOGRAPHY; EXECUTIVE FUNCTION; FOLLOW UP; HUMAN; LANGUAGE; LEARNING; MEMORY; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NEUROPSYCHOLOGY; PRIORITY JOURNAL; SEMI STRUCTURED INTERVIEW;

EID: 84871713028     PISSN: 19317557     EISSN: 19317565     Source Type: Journal    
DOI: 10.1007/s11682-012-9190-3     Document Type: Article

References (56)

1. Albert, M. (2008). The neuropsychology of the development of Alzheimer's disease. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (4th ed., pp. 97-132). London: Academic.
2. Alvarez, J. A., & Emory, E. (2006). Executive function and the frontal lobes: a meta-analytic review. Neuropsychology Review, 16(1), 17-42.
3. Austin, P. C. (2003). Type I error inflation in the presence of a ceiling effect. The American Statistician, 57, 97-104.
4. Barnett, V., & Lewis, T. (1994). Outliers in statistical data (3rd ed.). Chichester: Wiley.
5. Binet, A. (1905). L'Année Psychologique, 12, 191-244.
6. Bontempo, D. E., & Hofer, S. M. (2007). Assessing factorial invariance in cross-sectional and longitudinal studies. In A. D. Ong & M. van Dulmen (Eds.), Handbook of methods in positive psychology (pp. 153-175). New York: Oxford University Press.
7. Borsboom, D., Romeijn, J. W., & Wicherts, J. M. (2008). Measurement invariance versus selection invariance: Is fair selection possible? Psychological Methods, 13, 75-98.
8. Brookmeyer, R., Evans, D. A., Hebert, L., Langa, K. M., Heeringa, S. G., Plassman, B. L., et al. (2011). National estimates of the prevalence of Alzheimer's disease in the United States. Alzheimer's & Dementia, 7(1), 61-73.
9. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Erlbaum.
10. Crane, P. K., Narasimhalu, K., Gibbons, L. E., Mungas, D. M., Haneuse, S., & van Belle, G. (2008). Item response theory facilitated cocalibrating cognitive tests and reduced bias in estimated rates of decline. Journal of Clinical Epidemiology, 61, 1018-1027.
11. DeCarli, C., Mungas, D., Harvey, D., Reed, B., Weiner, M., Chui, H., et al. (2004). Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia. Neurology, 63(2), 220-227.
12. Desgranges, B., Eustache, F., Rioux, P., de La Sayette, V., & Lechevalier, B. (1996). Memory disorders in Alzheimer's disease and the organization of human memory. Cortex, 32(3), 387-412.
13. Dowling, N. M., Hermann, B., La Rue, A., & Sager, M. A. (2010). Latent structure and factorial invariance of a neuropsychological test battery for the study of preclinical Alzheimer's disease. Neuropsychology, 24(6), 742-756.
14. Drijgers, R. L., Verhey, F. R., Leentjens, A. F., Kohler, S., & Aalten, P. (2011). Neuropsychological correlates of apathy in mild cognitive impairment and Alzheimer's disease: the role of executive functioning. International Psychogeriatrics, 23(8), 1327-1333.
15. Evans, M. C., Barnes, J., Nielsen, C., Kim, L. G., Clegg, S. L., Blair, M., et al. (2010). Volume changes in Alzheimer's disease and mild cognitive impairment: cognitive associations. European Radiology, 20(3), 674-82.
16. Fillenbaum, G. G., Peterson, B., & Morris, J. C. (1996). Estimating the validity of the clinical Dementia Rating Scale: the CERAD experience. Consortium to Establish a Registry for Alzheimer's Disease. Aging (Milano), 8(6), 379-385.
17. Gallagher, M., & Koh, M. T. (2011). Episodic memory on the path to Alzheimer's disease. Current Opinion in Neurobiology, 21(6), 929-3.
18. Garner, W. R., Hake, H. W., & Eriksen, C. W. (1956). Operationism and the concept of perception. Psychological Review, 63(3), 149-159.
19. Grossman, M., Koenig, P., Glosser, G., DeVita, C., Moore, P., Rhee, J., et al. (2003). Neural basis for semantic memory difficulty in Alzheimer's disease: an fMRI study. Brain, 126(Pt 2), 292-311.
20. Harrison, J. E., Buxton, P., Husain, M., & Wise, R. (2000). Short test of semantic and phonological fluency: normal performance, validity and test-retest reliability. British Journal of Clinical Psychology, 39(Pt 2), 181-191.
21. Hayden, K. M., Jones, R. N., Zimmer, C., Plassman, B. L., Browndyke, J. N., Pieper, C., et al. (2011). Factor structure of the National Alzheimer's Coordinating Centers uniform dataset neuropsychological battery: an evaluation of invariance between and within groups over time. Alzheimer Disease and Associated Disorders, 25(2), 128-137.
22. Heywood, H. B. (1931). On finite sequences of real numbers. Proceedings of the Royal Society of London Series A, Containing Papers of a Mathematical and Physical Character, 134(824), 486-501.
23. Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: sensitivity to under parameterized model misspecification. Psychological Methods, 3, 424-453.
24. Jack, C. R. Jr., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., et al. (2010). Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol, 9(1), 119-28.
25. Jones, S. N., & Ayers, C. R. (2006). Psychometric properties and factor structure of an expanded CERAD neuropsychological battery in an elderly VA sample. Archives of Clinical Neuropsychology, 21(4), 359-365.
26. Kaplan, E., Goodglass, H., & Weintraub, S. (1983). The Boston naming test. Philidelphia: Lea and Febiger.
27. Landau, S. M., Harvey, D., Madison, C. M., Koeppe, R. A., Reiman, E. M., Foster, N. L., et al. (2011). Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiology of Aging, 32(7), 1207-1218.
28. Leow, A. D., Yanovsky, I., Parikshak, N., Hua, X., Lee, S., Toga, A. W., et al. (2009). Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition. NeuroImage, 45(3), 645-655.
29. MacDonald, M. C., Almor, A., Henderson, V. W., Kempler, D., & Andersen, E. S. (2001). Assessing working memory and language comprehension in Alzheimer's disease. Brain and Language, 78(1), 17-42.
30. McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984). 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. [GuidelinePractice Guideline]. Neurology, 34(7), 939-944.
31. Morris, J. C. (1997). Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. International Psychogeriatrics, 9(Suppl 1), 173-176. discussion 177-178.
32. Morris, J. C., Ernesto, C., Schafer, K., Coats, M., Leon, S., Sano, M., et al. (1997). Clinical dementia rating training and reliability in multicenter studies: the Alzheimer's Disease Cooperative Study experience. Neurology, 48(6), 1508-1510.
33. Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W., et al. (2005). Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimer's & Dementia, 1(1), 55-66.
34. Mungas, D., Widaman, K. F., Reed, B. R., & Tomaszewski Farias, S. (2011). Measurement invariance of neuropsychological tests in diverse older persons. Neuropsychology, 25(2), 260-269.
35. Muthen, L. K., & Muthen, B. O. (2010). MPlus: User's guide (6th ed.). Los Angeles: Muthen & Muthen.
36. Nestor, P. J., Fryer, T. D., & Hodges, J. R. (2006). Declarative memory impairments in Alzheimer's disease and semantic dementia. NeuroImage, 30(3), 1010-1020.
37. Pedraza, O., Lucas, J. A., Smith, G. E., Willis, F. B., Graff-Radford, N. R., Ferman, T. J., et al. (2005). Mayo's older African American normative studies: confirmatory factor analysis of a core battery. Journal of International Neuropsychological Society, 11(2), 184-191.
38. Pereira, F. S., Yassuda, M. S., Oliveira, A. M., & Forlenza, O. V. (2008). Executive dysfunction correlates with impaired functional status in older adults with varying degrees of cognitive impairment. International Psychogeriatrics, 20(6), 1104-1115.
39. Petersen, R. C., Jack, C. R., Jr., Xu, Y. C., Waring, S. C., O'Brien, P. C., Smith, G. E., et al. (2000). Memory and MRI-based hippocampal volumes in aging and AD. Neurology, 54(3), 581-587.
40. Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C, Harvey, D J., et al. (2010). Alzheimer's disease neuroimaging initiative (ADNI): clinical characterization. Neurology, 74(3), 201-209.
41. Pike, K. E., & Savage, G. (2008). Memory profiling in mild cognitive impairment: can we determine risk for Alzheimer's disease? Journal of Neuropsychology, 2(Pt 2), 361-372.
42. Ready, R. E., Ott, B. R., & Grace, J. (2004). Validity of informant reports about AD and MCI patients' memory. Alzheimer Disease and Associated Disorders, 18(1), 11-16.
43. Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychological Bulletin, 114(3), 552-566.
44. Reitan, R. M., & Wolfson, D. (1985). The Halstead-Reitan neuropsychological test battery (2nd ed.). Tucson: Neuropsychology Press.
45. Rey, A. (1964). L'examen clinique en psychologie [clinical examination in psychology]. Paris: Presses Univeritaires de France.
46. Rozzini, L., Chilovi, B. V., Conti, M., Bertoletti, E., Delrio, I., Trabucchi, M., et al. (2007). Conversion of amnestic Mild Cognitive Impairment to dementia of Alzheimer type is independent to memory deterioration. International Journal of Geriatric Psychiatry, 22(12), 1217-1222.
47. Siedlecki, K. L., Honig, L. S., & Stern, Y. (2008). Exploring the structure of a neuropsychological battery across healthy elders and those with questionable dementia and Alzheimer's disease. Neuropsychology, 22(3), 400-411.
48. Spaan, P. E., Raaijmakers, J. G., & Jonker, C. (2003). Alzheimer's disease versus normal ageing: a review of the efficiency of clinical and experimental memory measures. Journal of Clinical and Experimental Neuropsychology, 25(2), 216-233.
49. Steiger, J. H. (1989). EzPath: A supplementary module for SYSTAT and SYGRAPH. Evanston: SYSTAT.
50. Stern, Y., Albert, S., Tang, M. X., & Tsai, W. Y. (1999). Rate of memory decline in AD is related to education and occupation: cognitive reserve? Neurology, 53(9), 1942-1947.
51. Strauss, M. E., Thompson, P., Adams, N. L., Redline, S., & Burant, C. (2000). Evaluation of a model of attention with confirmatory factor analysis. Neuropsychology, 14(2), 201-208.
52. Tuokko, H. A., Chou, P. H., Bowden, S. C., Simard, M., Ska, B., & Crossley, M. (2009). Partial measurement equivalence of French and English versions of the Canadian Study of Health and Aging neuropsychological battery. Journal of the International Neuropsychological Society, 15(3), 416-425.
53. Wechsler, D. (1981). Manual for the Wechsler adult intelligence scale-revised. New York: The Psychological Corporation.
54. Weiner, M. W., Aisen, P. S., Jack, C. R. Jr., Jagust, W. J., Trojanowski, J. Q., Shaw, L., et al. (2010). Alzheimer's disease neuroimaging initiative. The Alzheimer's disease neuroimaging initiative: progress report and future plans. Alzheimers Dement, 6(3): 202-11. e7.
55. Welsh, K., Butters, N., Hughes, J., Mohs, R., & Heyman, A. (1991). Detection of abnormal memory decline in mild cases of Alzheimer's disease using CERAD neuropsychological measures. Archives of Neurology, 48(3), 278-281.
56. Widaman, K. F., Ferrer, E., & Conger, R. D. (2010). Factorial invariance within longitudinal structural equation models: measuring the same construct across time. Child Dev Perspect, 4(1), 10-18.