White matter and cognitive decline in aging: A focus on processing speed and variability

Journal of the International Neuropsychological Society

Volumn 20, Issue 3, 2014, Pages 262-267

  Nilsson, Jonna ^a   Thomas, Alan J ^a   O'Brien, John T ^b   Gallagher, Peter ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Dementia; Depression; Diffusion tensor imaging; Information processing; Intra individual variability; Reaction time

Indexed keywords

AGE; AGING; COGNITIVE DEFECT; HUMAN; NEUROPSYCHOLOGICAL TEST; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; REACTION TIME; WHITE MATTER;

AGE FACTORS; AGING; COGNITION DISORDERS; HUMANS; NEUROPSYCHOLOGICAL TESTS; REACTION TIME; WHITE MATTER;

EID: 84926082929     PISSN: 13556177     EISSN: 14697661     Source Type: Journal    
DOI: 10.1017/S1355617713001458     Document Type: Review

References (75)

1. Albinet, C.T., Boucard, G., Bouquet, C.A., & Audiffren, M. (2012). Processing speed and executive functions in cognitive aging: How to disentangle their mutual relationship? Brain and Cognition, 79, 1-11.
2. Assaf, Y., & Pasternak, O. (2008). Diffusion tensor imaging (DTI)-based white matter mapping in brain research: A review. Journal of Molecular Neuroscience, 34, 51-61.
3. Balota, D.A., & Yap, M.J. (2011). Moving beyond the mean in studies of mental chronometry: The power of response time distributional analyses. Current Directions in Psychological Science, 20, 160-166.
4. Bartzokis, G. (2004). Age-related myelin breakdown: A developmental model of cognitive decline and Alzheimer's disease. Neurobiology of Aging, 25, 5-18.
5. Bennett, I.J., Madden, D.J., Vaidya, C.J., Howard, D.V., & Howard, J.H. (2010). Age-related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging. Human Brain Mapping, 31, 378-390.
6. Bielak, A.A.M., Hultsch, D.F., Strauss, E., MacDonald, S.W.S., & Hunter, M.A. (2010). Intraindividual variability in reaction time predicts cognitive outcomes 5 years later. Neuropsychology, 24, 731-741.
7. Brickman, A.M., Siedlecki, K.L., Muraskin, J., Manly, J.J., Luchsinger, J.A., Yeung, L.K., y Stern, Y. (2011). White matter hyperintensities and cognition: Testing the reserve hypothesis. Neurobiology of Aging, 32, 1588-1598.
8. Bunce, D., Anstey, K.J., Christensen, H., Dear, K., Wen, W., & Sachdev, P. (2007). White matter hyperintensities and withinperson variability in community-dwelling adults aged 60-64 years. Neuropsychologia, 45, 2009-2015.
9. Bunce, D., Bielak, A.A., Cherbuin, N., Batterham, P.J., Wen, W., Sachdev, P., & Anstey, K.J. (2013). Utility of intraindividual reaction time variability to predict white matter hyperintensities: A potential assessment tool for clinical contexts? Journal of the International Neuropsychological Society, 19, 1-6.
10. Burgmans, S., Gronenschild, E.H., Fandakova, Y., Shing, Y.L., van Boxtel, M.P., Vuurman, E.F., yRaz, N. (2011).Age differences in speed of processing are partially mediated by differences in axonal integrity. Neuroimage, 55, 1287-1297.
11. Cepeda, N.J., Blackwell, K.A., & Munakata, Y. (2013). Speed isn't everything: Complex processing speed measures mask individual differences and developmental changes in executive control. [Research Support, N.I.H., Extramural]. Developmental Science, 16, 269-286.
12. Charlton, R.A., Landau, S., Schiavone, F., Barrick, T.R., Clark, C.A., Markus, H.S., & Morris, R.G. (2008). A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage. Neurobiology of Aging, 29, 1547-1555.
13. Craik, F.I.M., & Salthouse, A.S. (2008). The handbook of ageing and cognition (Vol. 2). Great Britain: Psychology Press.
14. 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, 530-541.
15. de Groot, J.C., de Leeuw, F.E., Oudkerk, M., van Gijn, J., Hofman, A., Jolles, J., & Breteler, M.M.B. (2000). Cerebral white matter lesions and cognitive function: The Rotterdam Scan Study. Annals of Neurology, 47, 145-151.
16. Debette, S., & Markus, H.S. (2010). The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: Systematic review and meta-analysis. British Medical Journal, 341, c3666.
17. Dixon, R.A., Lentz, T.L., Garrett, D.D., MacDonald, S.W.S., Strauss, E., & Hultsch, D.F. (2007). Neurocognitive markers of cognitive impairment: Exploring the roles of speed and inconsistency. Neuropsychology, 21, 381-399.
18. 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, 746-758.
19. 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, e45759.
20. Firbank, M.J., Teodorczuk, A., van der Flier, W.M., Gouw, A.A., Wallin, A., Erkinjuntti, T., y Grp, L. (2012). Relationship between progression of brain white matter changes and late-life depression: 3-year results from the LADIS study. British Journal of Psychiatry, 201, 40-45.
21. Fjell, A.M., Westlye, L.T., Amlien, I.K., & Walhovd, K.B. (2011). Reduced white matter integrity is related to cognitive instability. Journal of Neuroscience, 31, 18060-18072.
22. Gogtay, N., Giedd, J.N., Lusk, L., Hayashi, K.M., Greenstein, D., Vaituzis, A.C., y Thompson, P.M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America, 101, 8174-8179.
23. Gunning-Dixon, F.M., Brickman, A.M., Cheng, J.C., & Alexopoulos, G.S. (2009). Aging of cerebral white matter: A review of MRI findings. International Journal of Geriatric Psychiatry, 24, 109-117.
24. Gunning-Dixon, F.M., & Raz, N. (2000). The cognitive correlates of white matter abnormalities in normal aging: A quantitative review. Neuropsychology, 14, 224-232.
25. Hedden, T., & Gabrieli, J.D.E. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Nature Reviews Neuroscience, 5, 87-96.
26. Hultsch, D.F., & Macdonald, S.W.S. (2004). Intraindividual variability in performance as a theoretical window onto cognitive aging. New York: Oxford University Press.
27. Hultsch, D.F., Macdonald, S.W.S., & Dixon, R. (2002). Variability in reaction time performance of younger and older adults. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 57, P101-P115.
28. Inzitari, D., Pracucci, G., Poggesi, A., Carlucci, G., Barkhof, F., Chabriat, H., y LADIS Study Group (2009). Changes in white matter as determinant of global functional decline in older independent outpatients: Three year follow-up of LADIS (leukoaraiosis and disability) study cohort. British Medical Journal, 339, b2477.
29. Jackson, J.D., Balota, D.A., Duchek, J.M., & Head, D. (2012). White matter integrity and reaction time intraindividual variability in healthy aging and early-stage Alzheimer disease. Neuropsychologia, 50, 357-366.
30. Jacobs, H.I.L., Leritz, E.C., Williams, V.J., Van Boxtel, M.P.J., van der Elst, W., Jolles, J., y 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.
31. Jernigan, T.L., Archibald, S.L., Fennema-Notestine, C., Gamst, A.C., Stout, J.C., Bonner, J., & Hesselink, J.R. (2001). Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiology of Aging, 22, 581-594.
32. Joy, S., Fein, D., Kaplan, E., & Freedman, M. (2000). Speed and memory in WAIS-R-NI Digit Symbol performance among healthy older adults. Journal of the International Neuropsychological Society, 6, 770-780.
33. Joy, S., Kaplan, E., & Fein, D. (2004). Speed and memory in the eWAIS-III digit symbol-Coding subtest across the adult lifespan. Archives of Clinical Neuropsychology, 19, 759-767.
34. Kaiser, S., Roth, A., Rentrop, M., Friederich, H.C., Bender, S., & Weisbrod, M. (2008). Intra-individual reaction time variability in schizophrenia, depression and borderline personality disorder. Brain and Cognition, 66, 73-82.
35. 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, e50425.
36. Li, S.C., Lindenberger, U., & Sikstrom, S. (2001). Aging cognition: From neuromodulation to representation. Trends in Cognitive Sciences, 5, 479-486.
37. Lu, P.H., Lee, G.J., Tishler, T.A., Meghpara, M., Thompson, P.M., & Bartzokis, G. (2013). Myelin breakdown mediates age-related slowing in cognitive processing speed in healthy elderly men. Brain and Cognition, 81, 131-138.
38. MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2003). Performance variability is related to change in cognition: Evidence from the victoria longitudinal study. Psychology and Aging, 18, 510-523.
39. MacDonald, S.W.S., Hultsch, D.F., & Dixon, R.A. (2008). Predicting impending death: Inconsistency in speed is a selective and early marker. Psychology and Aging, 23, 595-607.
40. MacDonald, S.W.S., Li, S.C., & Backman, L. (2009). Neural underpinnings of within-person variability in cognitive functioning. Psychology and Aging, 24, 792-808.
41. 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, 386-400.
42. 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, 415-435.
43. Madden, D.J., Spaniol, J., Costello, M.C., Bucur, B., White, L.E., Cabeza, R., y Huettel, S.A. (2009). Cerebral white matter integrity mediates adult age differences in cognitive performance. Journal of Cognitive Neuroscience, 21, 289-302.
44. 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, 1174-1181.
45. Maillard, P., Carmichael, O., Fletcher, E., Reed, B., Mungas, D., & DeCarli, C. (2012). Coevolution of white matter hyperintensities and cognition in the elderly. Neurology, 79, 442-448.
46. Matzke, D., & Wagenmakers, E.J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 16, 798-817.
47. Nilsson, L.G., Sternang, O., Ronnlund, M., & Nyberg, L. (2009). Challenging the notion of an early-onset of cognitive decline. Neurobiology of Aging, 30, 521-524.
48. O'Sullivan, M., Jones, D.K., Summers, P.E., Morris, R.G., Williams, S.C.R., & Markus, H.S. (2001). Evidence for cortical "disconnection" as a mechanism of age-related cognitive decline. Neurology, 57, 632-638.
49. Penke, L., & Deary, I.J. (2010). Some guidelines for structural equation modelling in cognitive neuroscience: The case of Charlton et al.'s study on white matter integrity and cognitive ageing. Neurobiology of Aging, 31, 1656-1660.
50. Peters, A. (2002). The effects of normal aging on myelin and nerve fibers: A review. Journal of Neurocytology, 31, 581-593.
51. Rabbitt, P., Scott, M., Lunn, M., Thacker, N., Lowe, C., Pendleton, N., yJackson, A. (2007).White matter lesions account for all age-related declines in speed but not in intelligence. [Research Support, Non-U.S. Gov't]. Neuropsychology, 21, 363-370.
52. Ratcliff, R., Van Zandt, T., & McKoon, G. (1999). Connectionist and diffusion models of reaction time. Psychological Review, 106, 261-300.
53. Raz, N., Lindenberger, U., Rodrigue, K.M., Kennedy, K.M., Head, D., Williamson, A., yAcker, J.D. (2005). Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cerebral Cortex, 15, 1676-1689.
54. Raz, N., Rodrigue, K.M., Kennedy, K.M., & Acker, J.D. (2007). Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. Neuropsychology, 21, 149-157.
55. Sachdev, P.S., Wen, W., Christensen, H., & Jorm, A.F. (2005). White matter hyperintensities are related to physical disability and poor motor function. Journal of Neurology, Neurosurgery, and Psychiatry, 76, 362-367.
56. 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, 408-415.
57. Salthouse, T.A. (1993). Speed mediation of adult age-differences in cognition. Developmental Psychology, 29, 722-738.
58. Salthouse, T.A. (1996a). General and specific speed mediation of adult age differences in memory. Journals of Gerontology Series B: Psychological Sciences, 51, P30-P42.
59. Salthouse, T.A. (1996b). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403-428.
60. Salthouse, T.A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30, 507-514.
61. Salthouse, T.A. (2010). Selective review of cognitive aging. Journal of the International Neuropsychological Society, 16, 754-760.
62. Salthouse, T.A. (2011). Neuroanatomical substrates of age-related cognitive decline. Psychological Bulletin, 137, 753-784.
63. Sasson, E., Doniger, G.M., Pasternak, O., Tarrasch, R., & Assaf, Y. (2013). White matter correlates of cognitive domains in normal aging with diffusion tensor imaging. Frontiers in Neuroscience, 7, 32.
64. Schmiedek, F., Oberauer, K., Wilhelm, O., Suss, H.M., & Wittmann, W.W. (2007). Individual differences in components their relations to working of reaction time distributions and memory and intelligence. Journal of Experimental Psychology-General, 136, 414-429.
65. Song, S.K., Sun, S.W., Ramsbottom, M.J., Chang, C., Russell, J., & Cross, A.H. (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage, 17, 1429-1436.
66. Spieler, D.H., Balota, D.A., & Faust, M.E. (1996). Stroop performance in healthy younger and older adults and in individuals with dementia of the Alzheimer's type. Journal of Experimental Psychology-Human Perception and Performance, 22, 461-479.
67. Strauss, E., Bielak, A.A.M., Bunce, D., Hunter, M.A., & Hultsch, D.F. (2007). Within-person variability in response speed as an indicator of cognitive impairment in older adults. Aging Neuropsychology and Cognition, 14, 608-630.
68. Strauss, E., MacDonald, S.W.S., Hunter, M., Moll, A., & Hultsch, D.F. (2002). Intraindividual variability in cognitive performance in three groups of older adults: Cross-domain links to physical status and self-perceived affect and beliefs. Journal of the International Neuropsychological Society, 8, 893-906.
69. Tamnes, C.K., Fjell, A.M., Westlye, L.T., Ostby, Y., & Walhovd, K.B. (2012). Becoming consistent: Developmental reductions in intraindividual variability in reaction time are related to white matter integrity. Journal of Neuroscience, 32, 972-982.
70. Tse, C.S., Balota, D.A., Yap, M.J., Duchek, J.M., & McCabe, D.P. (2010). Effects of healthy aging and early stage dementia of the Alzheimer's type on components of response time distributions in three attention tasks. Neuropsychology, 24, 300-315.
71. Verhaeghen, P., & Salthouse, T.A. (1997). Meta-analyses of agecognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models. Psychological Bulletin, 122, 231-249.
72. Walhovd, K.B., & Fjell, A.M. (2007). White matter volume predicts reaction time instability. Neuropsychologia, 45, 2277-2284.
73. West, R., Murphy, K.J., Armilio, M.L., Craik, F.I.M., & Stuss, D.T. (2002). Lapses of intention and performance variability reveal age-related increases in sfluctuations of executive control. Brain and Cognition, 49, 402-419.
74. Williams, B.R., Strauss, E.H., Hultsch, D.F., & Hunter, M.A. (2007). Reaction time inconsistency in a spatial Stroop task: Agerelated differences through childhood and adulthood. Aging Neuropsychology and Cognition, 14, 417-439.
75. Ylikoski, A., Erkinjuntti, T., Raininko, R., Sarna, S., Sulkava, R., & Tilvis, R. (1995). White-matter hyperintensities on mri in the neurologically nondiseased elderly-Analysis of cohorts of consecutive subjects aged 55 to 85 years living at home. Stroke, 26, 1171-1177.