Abstract
APOE is one of the strongest genetic factors associated with information processing speed (IPS). Herein, we explored the neural substrates underlying APOE-related IPS alteration by measuring lobar distribution of white matter hyperintensities (WMH), cortical grey matter volume (GMV) and thickness. Using the ADNI database, we evaluated 178 cognitively normal elderly individuals including 34 APOE ε2 carriers, 54 APOE ε4 carriers and 90 ε3 homozygotes. IPS was determined using Trail Making Tests (TMT). We quantified lobar distribution of WMH, cortical GM lobar volume, cortical thickness among three groups. Finally, we used Pearson’s correlation and general linear models to examine structural MRI markers in relation to IPS. There were significant differences of IPS among groups, with ε4 carriers displaying the worst performance. Across groups, significant differences in frontal and parietal WMH load were observed (the highest in ε4 carriers); however, no significant differences in cortical GMV and thickness were found. Pearson’s correlation analysis showed parietal WMH volume was significantly related with IPS, especially in ε4 carriers. Subsequently a general linear model demonstrated that parietal WMH volume, age and the interaction between parietal WMH volume and age, was significantly associated with IPS, even after adjusting total intracranial volume (TIV), gender and vascular risk factors. Disruption of WM structure, rather than atrophy of GM, plays a more critical role in APOE ε4 allele-specific IPS. Moreover, specific WMH loci are closely associated with IPS; increased parietal WMH volume, especially in ε4 carriers, was independently contributed to slower IPS.
Similar content being viewed by others
References
Barker-Collo, S. L. (2006). Quality of life in multiple sclerosis: does information-processing speed have an independent effect? Archives of Clinical Neuropsychology, 21, 167–174.
Bornebroek, M., Haan, J., Van Duinen, S. G., Maat-Schieman, M. L., Van Buchem, M. A., Bakker, E., Van Broeckhoven, C., & Roos, R. A. (1997). Dutch hereditary cerebral amyloid angiopathy: structural lesions and apolipoprotein E genotype. Annals of Neurology, 41, 695–698.
Boyles, J. K., Zoellner, C. D., Anderson, L. J., Kosik, L. M., Pitas, R. E., Weisgraber, K. H., Hui, D. Y., Mahley, R. W., Gebicke-Haerter, P. J., Ignatius, M. J., & Et, A. (1989). A role for apolipoprotein E, apolipoprotein A-I, and low density lipoprotein receptors in cholesterol transport during regeneration and remyelination of the rat sciatic nerve. Journal of Clinical Investigation, 83, 1015–1031.
Brickman, A. M., Schupf, N., Manly, J. J., Luchsinger, J. A., Andrews, H., Tang, M. X., Reitz, C., Small, S. A., Mayeux, R., & DeCarli, C. (2008). Brain morphology in older African Americans, Caribbean Hispanics, and whites from northern Manhattan. Archives of neurology, 65, 1053–1061.
Brickman, A. M., Schupf, N., Manly, J. J., Stern, Y., Luchsinger, J. A., Provenzano, F. A., Narkhede, A., Razlighi, Q., Collins-Praino, L., Artero, S., Akbaraly, T. N., Ritchie, K., Mayeux, R., & Portet, F. (2014). APOE epsilon4 and risk for Alzheimer’s disease: do regionally distributed white matter hyperintensities play a role? Alzheimers. Dementia, 10, 619–629.
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. Journal of Neuroscience, 29, 1860–1873.
Camilleri, J. A., Reid, A. T., Muller, V. I., Grefkes, C., Amunts, K., & Eickhoff, S. B. (2015). Multi-modal imaging of neural correlates of motor speed performance in the trail making test. Frontiers in Neurology, 6, 219.
Chee, M. W., Chen, K. H., Zheng, H., Chan, K. P., Isaac, V., Sim, S. K., Chuah, L. Y., Schuchinsky, M., Fischl, B., & Ng, T. P. (2009). Cognitive function and brain structure correlations in healthy elderly east Asians. NeuroImage, 46, 257–269.
Corder, E.H., Saunders, A.M., Strittmatter, W.J., Schmechel, D.E., Gaskell, P.C., Small, G.W., Roses, A.D., Haines, J.L., Pericak-Vance, M.A., 1993. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science 261, 921–923.
Dong, C., Nabizadeh, N., Caunca, M., Cheung, Y. K., Rundek, T., Elkind, M. S., DeCarli, C., Sacco, R. L., Stern, Y., & Wright, C. B. (2015). Cognitive correlates of white matter lesion load and brain atrophy: the northern Manhattan study. Neurology, 85, 441–449.
Drzezga, A., Becker, J. A., Van Dijk, K. R., Sreenivasan, A., Talukdar, T., Sullivan, C., Schultz, A. P., Sepulcre, J., Putcha, D., Greve, D., Johnson, K. A., & Sperling, R. A. (2011). Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden. Brain, 134, 1635–1646.
Eckert, M. A., Keren, N. I., Roberts, D. R., Calhoun, V. D., & Harris, K. C. (2010). Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex. Frontiers in Human Neuroscience, 4, 10.
Fischl, B., & Dale, A. M. (2000). Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceedings of the National Academy of Sciences of the United States of America, 97, 11050–11055.
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010). Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer’s disease. NeuroImage, 52, 1487–1494.
Han, X., 2007. Potential mechanisms contributing to sulfatide depletion at the earliest clinically recognizable stage of Alzheimer’s disease: a tale of shotgun lipidomics. Journal of Neurochemistry 103 Suppl 1, 171–179.
Hong, Z., Ng, K. K., Sim, S. K., Ngeow, M. Y., Zheng, H., Lo, J. C., Chee, M. W., & Zhou, J. (2015). Differential age-dependent associations of gray matter volume and white matter integrity with processing speed in healthy older adults. NeuroImage, 123, 42–50.
Jacobs, H. I., Leritz, E. C., Williams, V. J., Van Boxtel, M. P., van der Elst, W., Jolles, J., Verhey, F. R., McGlinchey, R. E., Milberg, W. P., & Salat, D. H. (2013). Association between white matter microstructure, executive functions, and processing speed in older adults: the impact of vascular health. Human Brain Mapping, 34, 77–95.
Jiang, Q., Lee, C.Y., Mandrekar, S., Wilkinson, B., Cramer, P., Zelcer, N., Mann, K., Lamb, B., Willson, T.M., Collins, J.L., Richardson, J.C., Smith, J.D., Comery, T.A., Riddell, D., Holtzman, D.M., Tontonoz, P., Landreth, G.E., 2008. ApoE promotes the proteolytic degradation of Abeta. Neuron 58, 681–693.
Kalaria, R. N. (1997). Cerebrovascular degeneration is related to amyloid-beta protein deposition in Alzheimer’s disease. Annals of the New York Academy of Sciences, 826, 263–271.
Lyall, D. M., Harris, S. E., Bastin, M. E., Munoz, M. S., Murray, C., Lutz, M. W., Saunders, A. M., Roses, A. D., Valdes, H. M. C., Royle, N. A., Starr, J. M., Porteous, D. J., Wardlaw, J. M., & Deary, I. J. (2014). Are APOE varepsilon genotype and TOMM40 poly-T repeat length associations with cognitive ageing mediated by brain white matter tract integrity? Transl psychiatry 4 (p. e449).
Mahley, R. W. (1988). Apolipoprotein E: cholesterol transport protein with expanding role in cell biology. Science, 240, 622–630.
Miner, T., & Ferraro, F. R. (1998). The role of speed of processing, inhibitory mechanisms, and presentation order in trail-making test performance. Brain and Cognition, 38, 246–253.
Nho, K., Risacher, S. L., Crane, P. K., DeCarli, C., Glymour, M. M., Habeck, C., Kim, S., Lee, G. J., Mormino, E., Mukherjee, S., Shen, L., West, J. D., & Saykin, A. J. (2012). Voxel and surface-based topography of memory and executive deficits in mild cognitive impairment and Alzheimer’s disease. Brain Imaging and Behavior, 6, 551–567.
O’Sullivan, M., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S. C., & Markus, H. S. (2001). Evidence for cortical "disconnection" as a mechanism of age-related cognitive decline. Neurology, 57, 632–638.
Pantoni, L. (2010). Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurology, 9, 689–701.
Pantoni, L., & Garcia, J. H. (1997). Pathogenesis of leukoaraiosis: a review. Stroke, 28, 652–659.
Poirier, J. (2005). Apolipoprotein E, cholesterol transport and synthesis in sporadic Alzheimer’s disease. Neurobiology of Aging, 26, 355–361.
Raz, N., Rodrigue, K. M., Kennedy, K. M., & Land, S. (2009). Genetic and vascular modifiers of age-sensitive cognitive skills: effects of COMT, BDNF, ApoE, and hypertension. Neuropsychology, 23, 105–116.
Reinvang, I., Espeseth, T., & Westlye, L. T. (2013). APOE-related biomarker profiles in non-pathological aging and early phases of Alzheimer’s disease. Neuroscience and Biobehavioral Reviews, 37, 1322–1335.
Roher, A. E., Weiss, N., Kokjohn, T. A., Kuo, Y. M., Kalback, W., Anthony, J., Watson, D., Luehrs, D. C., Sue, L., Walker, D., Emmerling, M., Goux, W., & Beach, T. (2002). Increased a beta peptides and reduced cholesterol and myelin proteins characterize white matter degeneration in Alzheimer’s disease. Biochemistry, 41, 11080–11090.
Rosano, C., Studenski, S. A., Aizenstein, H. J., Boudreau, R. M., Longstreth, W. J., & Newman, A. B. (2012). Slower gait, slower information processing and smaller prefrontal area in older adults. Age and Ageing, 41, 58–64.
Schiavone, F., Charlton, R. A., Barrick, T. R., Morris, R. G., & Markus, H. S. (2009). Imaging age-related cognitive decline: a comparison of diffusion tensor and magnetization transfer MRI. Journal of Magnetic Resonance Imaging, 29, 23–30.
Schilling, S., DeStefano, A. L., Sachdev, P. S., Choi, S. H., Mather, K. A., DeCarli, C. D., Wen, W., Hogh, P., Raz, N., Au, R., Beiser, A., Wolf, P. A., Romero, J. R., Zhu, Y. C., Lunetta, K. L., Farrer, L., Dufouil, C., Kuller, L. H., Mazoyer, B., Seshadri, S., Tzourio, C., & Debette, S. (2013). APOE genotype and MRI markers of cerebrovascular disease: systematic review and meta-analysis. Neurology, 81, 292–300.
Schmidt, P., Gaser, C., Arsic, M., Buck, D., Forschler, A., Berthele, A., Hoshi, M., Ilg, R., Schmid, V. J., Zimmer, C., Hemmer, B., & Muhlau, M. (2012). An automated tool for detection of FLAIR-hyperintense white-matter lesions in multiple sclerosis. NeuroImage, 59, 3774–3783.
Staehelin, H. B., Perrig-Chiello, P., Mitrache, C., Miserez, A. R., & Perrig, W. J. (1999). Apolipoprotein E genotypes and cognitive functions in healthy elderly persons. Acta Neurologica Scandinavica, 100, 53–60.
Staff, R. T., Murray, A. D., Deary, I. J., & Whalley, L. J. (2006). Generality and specificity in cognitive aging: a volumetric brain analysis. NeuroImage, 30, 1433–1440.
Suri, S., Heise, V., Trachtenberg, A. J., & Mackay, C. E. (2013a). The forgotten APOE allele: a review of the evidence and suggested mechanisms for the protective effect of APOE varepsilon2. Neuroscience and Biobehavioral Reviews, 37, 2878–2886.
Suri, S., Heise, V., Trachtenberg, A. J., & Mackay, C. E. (2013b). The forgotten APOE allele: a review of the evidence and suggested mechanisms for the protective effect of APOE varepsilon2. Neuroscience and Biobehavioral Reviews, 37, 2878–2886.
Thiebaut, D. S. M., Urbanski, M., Duffau, H., Volle, E., Levy, R., Dubois, B., & Bartolomeo, P. (2005). Direct evidence for a parietal-frontal pathway subserving spatial awareness in humans (Vol. 309, pp. 2226–2228). Science.
Tombaugh, T. N. (2004). Trail Making Test A and B: normative data stratified by age and education. Archives of Clinical Neuropsychology, 19, 203–214.
Tuladhar, A. M., Reid, A. T., Shumskaya, E., de Laat, K. F., van Norden, A. G., van Dijk, E. J., Norris, D. G., & de Leeuw, F. E. (2015). Relationship between white matter hyperintensities, cortical thickness, and cognition. Stroke, 46, 425–432.
Wen, W., & Sachdev, P. (2004). The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals. NeuroImage, 22, 144–154.
Westlye, L. T., Reinvang, I., Rootwelt, H., & Espeseth, T. (2012). Effects of APOE on brain white matter microstructure in healthy adults. Neurology, 79, 1961–1969.
Wright, S. N., Hong, L. E., Winkler, A. M., Chiappelli, J., Nugent, K., Muellerklein, F., Du, X., Rowland, L. M., Wang, D. J., & Kochunov, P. (2015). Perfusion shift from white to gray matter may account for processing speed deficits in schizophrenia. Human Brain Mapping, 36, 3793–3804.
Yoshita, M., Fletcher, E., Harvey, D., Ortega, M., Martinez, O., Mungas, D. M., Reed, B. R., & DeCarli, C. S. (2006). Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD. Neurology, 67, 2192–2198.
Acknowledgments
Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.;Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Eisai Inc.; ElanPharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd. and its affiliatedcompany Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen AlzheimerImmunotherapy Research & Development, LLC.; Johnson & Johnson PharmaceuticalResearch & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; MesoScaleDiagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis PharmaceuticalsCorporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; andTransition Therapeutics. The Canadian Institutes of Health Research is providing funds tosupport ADNI clinical sites in Canada. Private sector contributions are facilitated by theFoundation for the National Institutes of Health (www.fnih.org). The grantee organization isthe Northern California Institute for Research and Education, and the study is coordinatedby the Alzheimer’s Disease Cooperative Study at the University of California, San Diego.ADNI data are disseminated by the Laboratory for Neuro Imaging at the University ofSouthern California.
Author information
Authors and Affiliations
Consortia
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflict of interest.
Ethical approval
“All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.”
Informed consent
Written informed consent was obtained from all participants and/or authorized representatives and the study partners before any protocol-specific procedures were carried out in the ADNI study. More details in http://www.adni-info.org.
Funding
This study was funded by the 12th Five-year Plan for National Science and Technology Supporting Program of China (Grant No. 2012BAI10B04), Zhejiang Provincial Natural Science Foundation of China (Grant No. LZ14H180001 and Grant No. Y16H090026).
Additional information
Xiao Luo and Yerfan Jiaerken contributed equally to this work.
Data used in preparation of this article were obtained from the Alzheimer’s disease Neuroimaging Initiative (ADNI) database (www.adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
Electronic Supplementary Materials
FreeSurfer results
(PDF 190 kb)
Rights and permissions
About this article
Cite this article
Luo, X., Jiaerken, Y., Yu, X. et al. Affect of APOE on information processing speed in non-demented elderly population: a preliminary structural MRI study. Brain Imaging and Behavior 11, 977–985 (2017). https://doi.org/10.1007/s11682-016-9571-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11682-016-9571-0