Aging, cognition, and the brain: effects of age-related variation in white matter integrity on neuropsychological function

References

• Aguero-Torres, H., Thomas, V. S., Winblad, B., & Fratiglioni, L. (2002). The impact of somatic and cognitive disorders on the functional status of the elderly. Journal of Clinical Epidemiology, 55(10), 1007–1012.
   PubMed Web of Science ®Google Scholar
• Angel, L., Fay, S., Bouazzaoui, B., & Isingrini, M. (2011). Two hemispheres for better memory in old age: Role of executive functioning. Journal of Cognitive Neuroscience, 23(12), 3767–3777.
   PubMed Web of Science ®Google Scholar
• Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010). Brain mediators of predictive cue effects on perceived pain. Journal of Neuroscience, 30, 12964–12977.
   PubMed Web of Science ®Google Scholar
• Bartzokis, G. (2004). Age-related myelin breakdown: A developmental model of cognitive decline and Alzheimer's disease. Neurobiology of Aging, 25(1), 5–18; author reply 49-62.
   PubMed Web of Science ®Google Scholar
• Basser, P. J., & Pierpaoli, C. (1996). Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. Journal of Magnetic Resonance Series B, 111(3), 209–219.
   PubMedGoogle Scholar
• Beckmann, M., Johansen-Berg, H., & Rushworth, M. F. (2009). Connectivity-based parcellation of human cingulate cortex and its relation to functional specialization. Journal of Neuroscience, 29(4), 1175–1190.
   PubMed Web of Science ®Google Scholar
• Bennett, I. J., & Madden, D. J. (2014). Disconnected aging: Cerebral white matter integrity and age-related differences in cognition. Neuroscience, 276, 187–205.
   PubMed Web of Science ®Google Scholar
• Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, D. V., & Howard, J. H., Jr. (2010). Age-related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging. Human Brain Mapping, 31(3), 378–390.
   PubMed Web of Science ®Google Scholar
• Bosch, B., Arenaza-Urquijo, E. M., Rami, L., Sala-Llonch, R., Junque, C., Sole-Padulles, C., … Bartres-Faz, D. (2012). Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiology of Aging, 33(1), 61–74.
   PubMed Web of Science ®Google Scholar
• Bugg, J. M., Zook, N. A., DeLosh, E. L., Davalos, D. B., & Davis, H. P. (2006). Age differences in fluid intelligence: Contributions of general slowing and frontal decline. Brain and Cognition, 62(1), 9–16.
   PubMed Web of Science ®Google Scholar
• Burgmans, S., Gronenschild, E. H., Fandakova, Y., Shing, Y. L., van Boxtel, M. P., Vuurman, E. F., … Raz, N. (2011). Age differences in speed of processing are partially mediated by differences in axonal integrity. Neuroimage, 55(3), 1287–1297.
   PubMed Web of Science ®Google Scholar
• Cabeza, R., Nyberg, L., & Park, D. C. (2016). Cognitive neuroscience of aging: Linking cognitive and cerebral aging. New York: Oxford University Press.
   Google Scholar
• Courtney-Long, E. A., Carroll, D. D., Zhang, Q. C., Stevens, A. C., Griffin-Blake, S., Armour, B. S., & Campbell, V. A. (2015). Prevalence of disability and disability type among adults—United States, 2013. Mmwr Morbidity and Mortality Weekly Report, 64(29), 777–783.
   PubMed Web of Science ®Google Scholar
• Cox, S. R. et al. (2016).Ageing and brain white matter structure in 3,513 UK Biobank participants. Nature Communications, 7, 13629, doi: 10.1038/ncomms13629
   PubMed Web of Science ®Google Scholar
• Daffner, K. R., Ryan, K. K., Williams, D. M., Budson, A. E., Rentz, D. M., Scinto, L. F., & Holcomb, P. J. (2005). Age-related differences in novelty and target processing among cognitively high performing adults. Neurobiology of Aging, 26(9), 1283–1295.
   PubMed Web of Science ®Google Scholar
• Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009). Assessing the effects of age on long white matter tracts using diffusion tensor tractography. Neuroimage, 46(2), 530–541.
   PubMed Web of Science ®Google Scholar
• Davis, S. W., Kragel, J. E., Madden, D. J., & Cabeza, R. (2012). The architecture of cross-hemispheric communication in the aging brain: Linking behavior to functional and structural connectivity. Cerebral Cortex, 22(1), 232–242.
   PubMed Web of Science ®Google Scholar
• Ebeling, U., & Von Cramon, D. (1992). Topography of uncinate fascicle and adjacent temporal fiber tracts. Acta Neurochirurgica, 115, 143–148.
   PubMed Web of Science ®Google Scholar
• Feise, R. J. (2002). Do multiple outcome measures require p-value adjustment ? Bmc Medical Research Methodology [Electronic Resource], 2, 8.
   PubMedGoogle Scholar
• Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state.” A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198.
   PubMed Web of Science ®Google Scholar
• Gazes, Y., Bowman, F. D., Razlighi, Q. R., O'Shea, D., Stern, Y., & Habeck, C. (2016). White matter tract covariance patterns predict age-declining cognitive abilities. Neuroimage, 125, 53–60.
   PubMed Web of Science ®Google Scholar
• Goh, J. O. (2011). Functional Dedifferentiation and Altered Connectivity in Older Adults: Neural Accounts of Cognitive Aging. Aging Dis, 2(1), 30–48.
   PubMed Web of Science ®Google Scholar
• Goh, J. O., & Huang, C. M. (2012). Images of the cognitive brain across age and culture. In P. Bright (Ed.), Neuroimaging - cognitive and clinical neuroscience (pp. 17-46). Rijeka, Croatia: InTech. doi: 10.5772/23944
   Google Scholar
• Grady, C. (2012). The cognitive neuroscience of ageing. Nature Reviews Neuroscience, 13(7), 491–505.
   PubMed Web of Science ®Google Scholar
• Gratton, G., Wee, E., Rykhlevskaia, E. I., Leaver, E. E., & Fabiani, M. (2009). Does white matter matter? Spatio-temporal dynamics of task switching in aging. Journal of Cognitive Neuroscience, 21, 1380–1395.
   PubMed Web of Science ®Google Scholar
• Grydeland, H., Walhovd, K. B., Tamnes, C. K., Westlye, L. T., & Fjell, A. M. (2013). Intracortical myelin links with performance variability across the human lifespan: Results from T1-and T2-weighted MRI myelin mapping and diffusion tensor imaging. Journal of Neuroscience, 33, 18618–18630.
   PubMed Web of Science ®Google Scholar
• Hasan, K. M., Iftikhar, A., Kamali, A., Kramer, L. A., Ashtari, M., Cirino, P. T., … Ewing-Cobbs, L. (2009). Development and aging of the healthy human brain uncinate fasciculus across the lifespan using diffusion tensor tractography. Brain Research, 1276, 67–76.
   PubMed Web of Science ®Google Scholar
• Hedden, T., & Gabrieli, J. D. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Nature Reviews Neuroscience, 5(2), 87–96.
   PubMed Web of Science ®Google Scholar
• Huang, H. W., Meyer, A. M., & Federmeier, K. D. (2012). A “concrete view” of aging: ERP reveal age-related changes in basic integrative processes in language. Neuropsychologia, 50, 6–35.
   Web of Science ®Google Scholar
• Huang, C.-M., Polk, T. A., Goh, J. O., & Park, D. C. (2012). Both left and right posterior parietal activations contribute to compensatory processes in normal aging. Neuropsychologia, 50(1), 55–66. doi:10.1016/j.neuropsychologia.2011.10.022
   PubMed Web of Science ®Google Scholar
• Inoue, K., Ito, H., Uchida, S., Taki, Y., Kinomura, S., Tsuji, I., … Fukuda, H. (2008). Decrease in glucose metabolism in frontal cortex associated with deterioration of microstructure of corpus callosum measured by diffusion tensor imaging in healthy elderly. Human Brain Mapping, 29(4), 375–384.
   PubMed Web of Science ®Google Scholar
• Jahng, G. H., Xu, S., Weiner, M. W., Meyerhoff, D. J., Park, S., & Schuff, N. (2011). DTI studies in patients with Alzheimer's disease, mild cognitive impairment, or normal cognition with evaluation of the intrinsic background gradients. Neuroradiology, 53(10), 749–762.
   PubMed Web of Science ®Google Scholar
• Jones, D. K., Catani, M., Pierpaoli, C., Reeves, S. J., Shergill, S. S., O'Sullivan, M., … Howard, R. J. (2006). Age effects on diffusion tensor magnetic resonance imaging tractography measures of frontal cortex connections in schizophrenia. Human Brain Mapping, 27(3), 230–238.
   PubMed Web of Science ®Google Scholar
• Kerchner, G. A., Racine, C. A., Hale, S., Wilheim, R., Laluz, V., Miller, B. L., & Kramer, J. H. (2012). Cognitive processing speed in older adults: Relationship with white matter integrity. Plos One, 7(11), e50425.
   PubMed Web of Science ®Google Scholar
• Kievit, R. A., Davis, S. W., Mitchell, D. J., Taylor, J. R., Duncan, J., & Henson, R. N. (2014). Distinct aspects of frontal lobe structure mediate age-related differences in fluid intelligence and multitasking. National of Communication, 5, 5658.
   PubMed Web of Science ®Google Scholar
• Kochunov, P., Thompson, P. M., Lancaster, J. L., Bartzokis, G., Smith, S., Coyle, T., … Fox, P. T. (2007). Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: Tract-based spatial statistics study of aging. Neuroimage, 35(2), 478–487.
   PubMed Web of Science ®Google Scholar
• Kochunov, P., Williamson, D. E., Lancaster, J., Fox, P., Cornell, J., Blangero, J., & Glahn, D. C. (2012). Fractional anisotropy of water diffusion in cerebral white matter across the lifespan. Neurobiology of Aging, 33, 9–20.
   PubMed Web of Science ®Google Scholar
• Kennedy, K. M., & Raz, N. (2009). Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia, 47, 916–927.
   PubMed Web of Science ®Google Scholar
• Lanyon, L. J. (2012). Diffusion tensor imaging: Structural connectivity insights, limitations and future directions. In P. Bright (Ed.), Neuroimaging - methods (pp. 137–162). Rijeka, Croatia: InTech Europe.
   Google Scholar
• Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008). Microstructural maturation of the human brain from childhood to adulthood. Neuroimage, 40(3), 1044–1055.
   PubMed Web of Science ®Google Scholar
• Lee, S. H., Coutu, J. P., Wilkens, P., Yendiki, A., Rosas, H. D., & Salat, D. H. (2015). Tract-based analysis of white matter degeneration in Alzheimer's disease. Neuroscience, 301, 79–89.
   PubMed Web of Science ®Google Scholar
• Lezak, M., Howieson, D., & Loring, D. (2004). Neuropsychological Assessment. New York: Oxford UP.
   Google Scholar
• Lin, Y. C., Shih, Y. C., Tseng, W. Y., Chu, Y. H., Wu, M. T., Chen, T. F., … Chiu, M. J. (2014). Cingulum correlates of cognitive functions in patients with mild cognitive impairment and early Alzheimer's disease: A diffusion spectrum imaging study. Brain Topography, 27(3), 393–402.
   PubMed Web of Science ®Google Scholar
• Lindquist, M. A. (2012). Functional causal mediation analysis with an applicatin to brain connectivity. Journal of American Statics Association, 107, 1297–1309.
   PubMed Web of Science ®Google Scholar
• Madden, D. J., Bennett, I. J., Burzynska, A., Potter, G. G., Chen, N. K., & Song, A. W. (2012). Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochimica Et Biophysica Acta, 1822(3), 386–400.
   PubMed Web of Science ®Google Scholar
• Madden, D. J., Bennett, I. J., & Song, A. W. (2009). Cerebral white matter integrity and cognitive aging: Contributions from diffusion tensor imaging. Neuropsychology Review, 19(4), 415–435.
   PubMed Web of Science ®Google Scholar
• Madden, D. J., Whiting, W. L., Huettel, S. A., White, L. E., MacFall, J. R., & Provenzale, J. M. (2004). Diffusion tensor imaging of adult age differences in cerebral white matter: Relation to response time. Neuroimage, 21(3), 1174–1181.
   PubMed Web of Science ®Google Scholar
• MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614.
   PubMed Web of Science ®Google Scholar
• Metzler-Baddeley, C., Jones, D. K., Steventon, J., Westacott, L., Aggleton, J. P., & O'Sullivan, M. J. (2012). Cingulum microstructure predicts cognitive control in older age and mild cognitive impairment. Journal of Neuroscience, 32(49), 17612–17619.
   PubMed Web of Science ®Google Scholar
• Morrison, J. H., & Hof, P. R. (1997). Life and death of neurons in the aging brain. ScienceScience 278, 412–419. doi: 10.1126/science.278.5337.412
   PubMed Web of Science ®Google Scholar
• Nakagawa, S. (2004). A farewell to Bonferroni: The problems of low statistical power and publication bias. Behav Ecol, 15, 1044–1045.
   Web of Science ®Google Scholar
• Nasreddine, Z. S., Phillips, N. A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., … Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699.
   PubMed Web of Science ®Google Scholar
• Park, D. C., Lautenschlager, G., Hedden, T., Davidson, N. S., Smith, A. D., & Smith, P. K. (2002). Models of visuospatial and verbal memory across the adult life span. Psychology and Aging, 17, 299–320.
   PubMed Web of Science ®Google Scholar
• Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196.
   PubMed Web of Science ®Google Scholar
• Park, D. C., & Schwarz, N. (2000).eds. Cognitive aging: A primer. Philadelphia, PA: Psychol. Press.
   Google Scholar
• Park, D. C., & Gutchess, A. H. (2002). Aging, cognition, and culture: a neuroscientific perspective. Neuroscience and Biobehavioral Reviews, 26(7), 859–867.
   PubMed Web of Science ®Google Scholar
• Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L. G., Ingvar, M., & Buckner, R. L. (2006). Structure-function correlates of cognitive decline in aging. Cerebral Cortex, 16(7), 907–915.
   PubMed Web of Science ®Google Scholar
• Pfefferbaum, A., Adalsteinsson, E., & Sullivan, E. V. (2005). Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging. Neuroimage, 26(3), 891–899.
   PubMed Web of Science ®Google Scholar
• Raz, N., Rodrigue, K. M., & Haacke, E. M. (2007). Brain aging and its modifiers: Insights from in vivo neuromorphometry and susceptibility weighted imaging. Annals of the New York Academy of Sciences, 1097, 84–93. doi: 10.1196/annals.1379.018
   PubMed Web of Science ®Google Scholar
• Reitan, R. M., & Wolfson, D. (1985). The Halstead-Reitan Neurropsychological Test Battery: Theory and clinical interpretation. Tucson, AZ: Neuropsychological Press.
   Google Scholar
• Ritchie, S. J., Bastin, M. E., Tucker-Drob, E. M., Maniega, S. M., Engelhardt, L. E., Cox, S. R., … Deary, I. J. (2015). Coupled changes in brain white matter microstructure and fluid intelligence in later life. Journal of Neuroscience, 35(22), 8672–8682.
   PubMed Web of Science ®Google Scholar
• Salami, A., Eriksson, J., Nilsson, L. G., & Nyberg, L. (2012). Age-related white matter microstructural differences partly mediate age-related decline in processing speed but not cognition. Biochimica Et Biophysica Acta, 1822(3), 408–415.
   PubMed Web of Science ®Google Scholar
• Salat, D. H., Tuch, D. S., Greve, D. N., van der Kouwe, A. J., Hevelone, N. D., Zaleta, A. K., … Dale, A. M. (2005). Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology of Aging, 26(8), 1215–1227.
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (2004). Localizing age-related individual differences in a hierarchical structure. Intelligence, 32(6), 541-561.
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (2012). Consequences of age-related cognitive declines. Annual Review of Psychology, 63, 201–226.
   PubMed Web of Science ®Google Scholar
• Scahill, R. I., Frost, C., Jenkins, R., Whitwell, J. L., Rossor, M. N., & Fox, N. C. (2003). A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Archives of Neurology, 60, 989–994. doi: 10.1001/archneur.60.7.989
   PubMed Web of Science ®Google Scholar
• Schmahmann, J. D., Smith, E. E., Eichler, F. S., & Filley, C. M. (2008). Cerebral white matter: Neuroanatomy, clinical neurology, and neurobehavioral correlates. Annals of the New York Academy of Sciences, 1142, 266–309.
   PubMed Web of Science ®Google Scholar
• Schulze, E. T., Geary, E. K., Susmaras, T. M., Paliga, J. T., Maki, P. M., & Little, D. M. (2011). Anatomical correlates of age-related working memory declines. J Aging Res, 2011, 606–871.
   Google Scholar
• Sexton, C. E., Walhovd, K. B., Storsve, A. B., Tamnes, C. K., Westlye, L. T., Johansen-Berg, H., & Fjell, A. M. (2014). Accelerated changes in white matter microstructure during aging: A longitudinal diffusion tensor imaging study. Journal of Neuroscience, 34, 15425–15436.
   PubMed Web of Science ®Google Scholar
• Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155.
   PubMed Web of Science ®Google Scholar
• Steffener, J., Barulli, D., Habeck, C., O'Shea, D., Razlighi, Q., & Stern, Y. (2014). The role of education and verbal abilities in altering the effect of age-related gray matter differences on cognition. Plos One, 9(3), e91196.
   PubMed Web of Science ®Google Scholar
• Sullivan, E. V., & Pfefferbaum, A. (2006). Diffusion tensor imaging and aging. Neuroscience and Biobehavioral Reviews, 30(6), 749–761.
   PubMed Web of Science ®Google Scholar
• Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A. (2010). Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking. Developmental Neuropsychology, 35(3), 233–256.
   PubMed Web of Science ®Google Scholar
• Torta, D. M., & Cauda, F. (2011). Different functions in the cingulate cortex, a meta-analytic connectivity modeling study. Neuroimage, 56(4), 2157–2172.
   PubMed Web of Science ®Google Scholar
• Wang, P. N., Chou, K. H., Lirng, J. F., Lina, K. N., Chen, W. T., & Lin, C. P. (2012). Multiple diffusivities defined white matter degeneration in amnestic MCI and Alzheimer's disease. Journal of Alzheimer's Disease, 30(2), 423–437.
   PubMed Web of Science ®Google Scholar
• Wechsler, D. (1997a). Weschsler adult intelligence scale-III. San Antonio, TX: The Psychological Corporation.
   Google Scholar
• Wechsler, D. (1997b). Wechsler memory scale-third edition. San Antonio, TX: The Psychological Corporation.
   Google Scholar
• Wen, W., Zhu, W., He, Y., Kochan, N. A., Reppermund, S., Slavin, M. J., … Sachdev, P. (2011). Discrete neuroanatomical networks are associated with specific cognitive abilities in old age. Journal of Neuroscience, 31(4), 1204–1212.
   PubMed Web of Science ®Google Scholar
• Yang, A. C., Tsai, S. J., Liu, M. E., Huang, C. C., & Lin, C. P. (2016). The association of aging with white matter integrity and functional connectivity hubs. Frontiers in Aging Neurosciences, 8(2), 919–913.
   Google Scholar
• Yendiki, A., Panneck, P., Srinivasan, P., Stevens, A., Zöllei, L., Augustinack, J., … Fischl, B. (2011). Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy. Frontiers in Neuroinformatics, 5, 23. doi: 10.3389/fninf.2011.00023
   PubMedGoogle Scholar
• Zahr, N. M., Rohlfing, T., Pfefferbaum, A., & Sullivan, E. V. (2009). Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging: A quantitative fiber tracking study. Neuroimage, 44(3), 1050–1062.
   PubMed Web of Science ®Google Scholar