Cognitive Intra-individual Variability in Cognitively Healthy APOE ε4 Carriers, Mild Cognitive Impairment, and Alzheimer’s Disease: a Meta-analysis

Alber, J., Alladi, S., Bae, H. J., Barton, D. A., Beckett, L. A., Bell, J. M., Berman, S. E., Biessels, G. J., Black, S. E., Bos, I., Bowman, G. L., Brai, E., Brickman, A. M., Callahan, B. L., Corriveau, R. A., Fossati, S., Gottesman, R. F., Gustafson, D. R., Hachinski, V., … Hainsworth, A. H. (2019). White matter hyperintensities in vascular contributions to cognitive impairment and dementia (VCID): Knowledge gaps and opportunities. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 5, 107–117. https://doi.org/10.1016/J.TRCI.2019.02.001

Anderson, M., Kaufman, A. S., & Kaufman, N. L. (1976). Use of the WISC-R with a learning disabled population: Some diagnostic implications. Psychology in the Schools, 13(4), 381–386. https://doi.org/10.1002/1520-6807

Article  Google Scholar 

Anstey, K. J., Mack, H. A., Christensen, H., Li, S. C., Reglade-Meslin, C., Maller, J., Kumar, R., Dear, K., Easteal, S., & Sachdev, P. (2007). Corpus callosum size, reaction time speed and variability in mild cognitive disorders and in a normative sample. Neuropsychologia, 45(8), 1911–1920. https://doi.org/10.1016/J.NEUROPSYCHOLOGIA.2006.11.020

Article  PubMed  Google Scholar 

Arce Rentería, M., Mobley, T. M., Evangelista, N. D., Medina, L. D., Deters, K. D., Fox-Fuller, J. T., Minto, L. R., Avila-Rieger, J., & Bettcher, B. M. (2023). Representativeness of samples enrolled in Alzheimer’s disease research centers. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 15(2), e12450. https://doi.org/10.1002/DAD2.12450

Article  Google Scholar 

Axelrod, B. N., & Wall, J. R. (2007). Expectancy of impaired neuropsychological test scores in a non-clinical sample. International Journal of Neuroscience, 117(11), 1591–1602. https://doi.org/10.1080/00207450600941189

Article  PubMed  Google Scholar 

Bangen, K. J., Weigand, A. J., Thomas, K. R., Delano-Wood, L., Clark, L. R., Eppig, J., Werhane, M. L., Edmonds, E. C., & Bondi, M. W. (2019). Cognitive dispersion is a sensitive marker for early neurodegenerative changes and functional decline in nondemented older adults. Neuropsychology, 33(5), 599–608. https://doi.org/10.1037/NEU0000532

Article  PubMed  PubMed Central  Google Scholar 

Bayer, A., Phillips, M., Porter, G., Leonards, U., Bompas, A., & Tales, A. (2014). Abnormal inhibition of return in mild cognitive impairment: Is it specific to the presence of prodromal dementia? Journal of Alzheimer’s Disease : JAD, 40(1), 177–189. https://doi.org/10.3233/JAD-131934

Article  PubMed  Google Scholar 

Binder, L. M., Iverson, G. L., & Brooks, B. L. (2009). To err is human: “Abnormal” neuropsychological scores and variability are common in healthy adults. Archives of Clinical Neuropsychology, 24(1), 31–46. https://doi.org/10.1093/ARCLIN/ACN001

Article  PubMed  Google Scholar 

Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. (2021a). Meta-regression. In J. P. T. Higgins, M. Borenstein, H. Rothstein, & L. V. Hedges (Eds.), Introduction to meta-analysis (2nd ed., pp. 197–212). Wiley.

Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. (2021b). Random-effects model. In M. Borenstein, L. Hedges, J. Higgins, & H. Rothestein (Eds.), Introduction to meta-analysis (2nd ed., pp. 65–70). Wiley. https://www.wiley.com/en-us/Introduction+to+Meta-Analysis%2C+2nd+Edition-p-9781119558392

Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2022). Comprehensive Meta-Analysis (4). Biostat. https://www.meta-analysis.com/

Brenowitz, W. D., Hubbard, R. A., Keene, C. D., Hawes, S. E., Longstreth, W. T., Woltjer, R. L., & Kukull, W. A. (2017). Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample. Alzheimer’s & Dementia, 13(6), 654–662. https://doi.org/10.1016/J.JALZ.2016.09.015

Article  Google Scholar 

Buchholz, A. S., Reckess, G. Z., Del Bene, V. A., Testa, S. M., Crawford, J. L., & Schretlen, D. J. (2023). Within-person test score distributions: How typical is “normal”? Assessment. https://doi.org/10.1177/10731911231201159/ASSET/IMAGES/LARGE/10.1177_10731911231201159-FIG1.JPEG

Article  PubMed  Google Scholar 

Bunce, D., Haynes, B. I., Lord, S. R., Gschwind, Y. J., Kochan, N. A., Reppermund, S., Brodaty, H., Sachdev, P. S., & Delbaere, K. (2017). Intraindividual stepping reaction time variability predicts falls in older adults with mild cognitive impairment. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 72(6), 832–837. https://doi.org/10.1093/GERONA/GLW164

Article  PubMed  Google Scholar 

Chang, J. (2011). Early detection of dementia of the Alzheimer’s type: Examining the use of cognitive tasks and neuropsychological tests for Chinese with minimal education [The Chinese University of Hong Kong]. https://www.proquest.com/dissertations-theses/early-detection-dementia-alzheimers-type/docview/993968160/se-2

Chow, R., Rabi, R., Paracha, S., Vasquez, B. P., Hasher, L., Alain, C., & Anderson, N. D. (2022). Reaction time intraindividual variability reveals inhibitory deficits in single- and multiple-domain amnestic mild cognitive impairment. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 77(1), 71–83. https://doi.org/10.1093/GERONB/GBAB051

Article  PubMed  Google Scholar 

Christ, B. U., Combrinck, M. I., & Thomas, K. G. F. (2018). Both reaction time and accuracy measures of intraindividual variability predict cognitive performance in Alzheimer’s disease. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/FNHUM.2018.00124

Christensen, H., Dear, K. B. G., Anstey, K. J., Parslow, R. A., Sachdev, P., & Jorm, A. F. (2005). Within-occasion intraindividual variability and preclinical diagnostic status: Is intraindividual variability an indicator of mild cognitive impairment? Neuropsychology, 19(3), 309–317. https://doi.org/10.1037/0894-4105.19.3.309

Article  PubMed  Google Scholar 

Cimler, R., Maresova, P., Kuhnova, J., & Kuca, K. (2019). Predictions of Alzheimer’s disease treatment and care costs in European countries. PloS One, 14(1). https://doi.org/10.1371/JOURNAL.PONE.0210958

Cooper, H., Hedges, L. V., & Valentine, J. C. (2019). The handbook of research synthesis and meta-analysis (H. Cooper, L. V. Hedges, & J. C. Valentine, Eds.). Russell Sage Foundation. https://doi.org/10.7758/9781610448864

Cooper, H. M. (1998). Synthesizing research: A guide for literature reviews applied social research methods. Sage.

Google Scholar 

Daianu, M., Mezher, A., Jahanshad, N., Hibar, D. P., Nir, T. M., Jack, C. R., Weiner, M. W., Bernstein, M. A., & Thompson, P. M. (2015). Spectral graph theory and graph energy metrics show evidence for the Alzheimer’s disease disconnection syndrome in APOE-4 risk gene carriers. Proceedings - International Symposium on Biomedical Imaging, 2015-July, 458–461. https://doi.org/10.1109/ISBI.2015.7163910

Deeks, J. J., Higgins, J. P., Altman, D. G., & on behalf of the Cochrane Statistical Methods Group. (2023). Analysing data and undertaking meta-analyses. In J. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. Page, & V. Welch (Eds.), Cochrane handbook for systematic reviews of interventions (6.4, pp. 241–284). John Wiley & Sons.

DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. https://doi.org/10.1016/0197-2456(86)90046-2

Article  CAS  PubMed  Google Scholar 

Duchek, J. M., Balota, D. A., Tse, C. S., Holtzman, D. M., Fagan, A. M., & Goate, A. M. (2009). The utility of intraindividual variability in selective attention tasks as an early marker for Alzheimer’s disease. Neuropsychology, 23(6), 746–758. https://doi.org/10.1037/A0016583

Article  PubMed  PubMed Central  Google Scholar 

Dykiert, D., Der, G., Starr, J. M., & Deary, I. J. (2012). Age differences in intra-individual variability in simple and choice reaction time: Systematic review and meta-analysis. PloS One, 7(10). https://doi.org/10.1371/JOURNAL.PONE.0045759

Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009). Distinct patterns of brain activity in young carriers of the APOE-ε4 allele. Proceedings of the National Academy of Sciences, 106(17), 7209–7214. https://doi.org/10.1073/PNAS.0811879106

Article  CAS  Google Scholar 

Fiske, D. W., & Rice, L. (1955). Intra-individual response variability. Psychological Bulletin, 52(3), 217–250. https://doi.org/10.1037/H0045276

Article  CAS  PubMed  Google Scholar 

Fu, R., Gartlehner, G., Grant, M., Shamliyan, T., Sedrakyan, A., Wilt, T. J., Griffith, L., Oremus, M., Raina, P., Ismaila, A., Santaguida, P., Lau, J., & Trikalinos, T. A. (2011). Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program. Journal of Clinical Epidemiology, 64(11), 1187–1197. https://doi.org/10.1016/J.JCLINEPI.2010.08.010

Article  PubMed  Google Scholar 

Gleason, C. E., Norton, D., Anderson, E. D., Wahoske, M., Washington, D. T., Umucu, E., Koscik, R. L., Dowling, N. M., Johnson, S. C., Carlsson, C. M., & Asthana, S. (2018). Cognitive variability predicts incident Alzheimer’s disease and mild cognitive impairment comparable to a cerebrospinal fluid biomarker. Journal of Alzheimer’s Disease : JAD, 61(1), 79–89. https://doi.org/10.3233/JAD-170498

Article  CAS  PubMed  Google Scholar 

Gorus, E., De Raedt, R., Lambert, M., Lemper, J. C., & Mets, T. (2008). Reaction times and performance variability in normal aging, mild cognitive impairment, and Alzheimer’s disease. Journal of Geriatric Psychiatry and Neurology, 21(3), 204–218. https://doi.org/10.1177/0891988708320973

Article  PubMed  Google Scholar 

Haan, M. N., Shemanski, L., Jagust, W. J., Manolio, T. A., & Kuller, L. (1999). The role of APOE ∊4 in modulating effects of other risk factors for cognitive decline in elderly persons. JAMA, 282(1), 40–46. https://doi.org/10.1001/JAMA.282.1.40

Article  CAS  PubMed  Google Scholar 

Halliday, D. W. R., Stawski, R. S., Cerino, E. S., Decarlo, C. A., Grewal, K., & Macdonald, S. W. S. (2018). Intraindividual variability across neuropsychological tests: Dispersion and disengaged lifestyle increase risk for Alzheimer’s disease. Journal of Intelligence, 6(1), 1–12. https://doi.org/10.3390/JINTELLIGENCE6010012

Article  Google Scholar 

Haynes, B. I., Bauermeister, S., & Bunce, D. (2017). A systematic review of longitudinal associations between reaction time intraindividual variability and age-related cognitive decline or impairment, dementia, and mortality. Journal of the International Neuropsychological Society: JINS, 23(5), 431–445. https://doi.org/10.1017/S1355617717000236

Article  PubMed  Google Scholar 

Herukka, S. K., Simonsen, A. H., Andreasen, N., Baldeiras, I., Bjerke, M., Blennow, K., Engelborghs, S., Frisoni, G. B., Gabryelewicz, T., Galluzzi, S., Handels, R., Kramberger, M. G., Kulczyńska, A., Molinuevo, J. L., Mroczko, B., Nordberg, A., Oliveira, C. R., Otto, M., Rinne, J. O., … Waldemar, G. (2017). Recommendations for cerebrospinal fluid Alzheimer’s disease biomarkers in the diagnostic evaluation of mild cognitive impairment. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 13(3), 285–295. https://doi.org/10.1016/J.JALZ.2016.09.009

Hill, B. D., Rohling, M. L., Boettcher, A. C., & Meyers, J. E. (2013). Cognitive intra-individual variability has a positive association with traumatic brain injury severity and suboptimal effort. Archives of Clinical Neuropsychology, 28(7), 640–648. https://doi.org/10.1093/ARCLIN/ACT045

Article  PubMed  Google Scholar 

Hogan, M. J., Carolan, L., Roche, R. A. P., Dockree, P. M., Kaiser, J., Bunting, B. P., Robertson, I. H., & Lawlor, B. A. (2006). Electrophysiological and information processing variability predicts memory decrements associated with normal age-related cognitive decline and Alzheimer’s disease (AD). Brain Research, 1119(1), 215–226. https://doi.org/10.1016/J.BRAINRES.2006.08.075

Article  CAS  PubMed  Google Scholar 

Holtzer, R., Verghese, J., Wang, C., Hall, C. B., & Lipton, R. B. (2008). Within-person across-neuropsychological test variability and incident dementia. JAMA, 300(7), 823–830. https://doi.org/10.1001/JAMA.300.7.823

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