Neurobiology of Aging
Volume 29, Issue 10 , Pages 1547-1555 , October 2008

A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage

  • R.A. Charlton

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • Corresponding Author InformationCorresponding author. Tel.: +44 20 8725 5385; fax: +44 20 8725 2950.
    • ,
  • S. Landau

      Affiliations

    • Department of Biostatistics and Computing, Institute of Psychiatry, King's College, University of London, De Crespigny Park, London SE5 8AF, UK
    • ,
  • F. Schiavone

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • ,
  • T.R. Barrick

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • ,
  • C.A. Clark

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • ,
  • H.S. Markus

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • ,
  • R.G. Morris

      Affiliations

    • Department of Psychology, Institute of Psychiatry, King's College, University of London, De Crespigny Park, London SE5 8AF, UK

Received 31 March 2006 ,Revised 13 March 2007 ,Accepted 17 March 2007.

References 

  1. Abe O, Aoki S, Hayashi N, Yamada H, Kunimatsu A, Mori H, et al. Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiol. Aging. 2002;23:433–441
  2. Andrés P. Frontal cortex as the central executive of working memory: time to revise our view. Cortex. 2003;39:871–895
  3. Arbuckle JL. Amos 4.01. Chicago, USA: Smallwater Corp.; 1999;
  4. Ashburner J, Friston K. Voxel-based morphometry—the methods. Neuroimage. 2000;11:805–821
  5. Assaf Y, Beit-Yannai E, Shohami E, Berman E, Cohen Y. Diffusion- and T2-weighted MRI of closed-head injury in rats: a time course study and correlation with histology. Magn. Reson. Imaging. 1997;15:77–85
  6. Baltes PB, Lindenberger U. Emergence of a powerful connection between sensory and cognitive functions across the adult life span: a new window to the study of cognitive aging?. Psychol. Aging. 1997;12:12–21
  7. Barrick TR, Clark CA. Singularities in diffusion tensor fields and their relevance in white matter fiber tractography. Neuroimage. 2004;22:481–491
  8. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo.. J. Magn. Reson. B. 1994;103:247–254
  9. Bryan J, Luszcz MA, Crawford JR. Verbal knowledge and speed of information processing as mediators of age differences in verbal fluency performance among older adults. Psychol. Aging. 1997;12:178–473
  10. Cabeza R, Nyberg L. Neural bases of learning and memory: functional neuroimaging evidence. Curr. Opin. Neurol. 2000;13:415–421
  11. Chabriat H, Pappata S, Poupon C, Clark CA, Vahedi K, Poupon F, et al. Clinical severity in CADASIL related to ultrastructural damage in white matter: in vivo study with diffusion tensor MRI. Stroke. 1999;30:2637–2643
  12. Clark CA, Barrick TR, Murphy MM, Bell BA. White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning?. Neuroimage. 2003;20:1601–1608
  13. Coughlan AK. The Adult Memory and Information Processing Battery (AMIPB). Leeds, UK: A.K. Coughlan; 1985;
  14. Cummings JL. Frontal-subcortical circuits and human behavior. Arch. Neurol. 1993;50:873–880
  15. Delis DC, Kaplan E, Kramer JH. The Delis-Kaplan Executive Function System. San Antonio: The Psychological Corporation; 2001;
  16. Dujardin K, Krystkowiak P, Defebvre L, Blond S, Destee A. A case of severe dysexecutive syndrome consecutive to chronic bilateral pallidal stimulation. Neuropsychologia. 2000;38:1305–1315
  17. Duncan J, Johnson R, Swales M, Freer C. Frontal lobe deficits after head injury: unity and diversity of function. Cogn. Neuropsychol. 1997;14:713–741
  18. Eslinger PJ, Grattan LM. Frontal lobe and frontal-striatal substrates for different forms of human cognitive flexibility. Neuropsychologia. 1993;31:17–28
  19. Glabus MF, Horwitz B, Holt JL, Kohn PD, Gerton BK, Callicott JH, et al. Interindividual differences in functional interactions among prefrontal, parietal and parahippocampal regions during working memory. Cereb. Cortex. 2003;13:1352–1361
  20. Glisky EL, Polster MR, Routhieaux BC. Double dissociation between item and source memory. Neuropsychology. 1995;9:229–235
  21. Goldman-Rakic PS. Working memory dysfunction in schizophrenia. J. Neuropsychiat. Clin. Neurosci. 1994;6:348–357
  22. Grant DA, Berg EA. Wisconsin Card Sorting Test. Lutz, USA: Psychological Assessment Resources, Inc.; 1948;
  23. Gunning-Dixon FM, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology. 2000;14:224–232
  24. Gunning-Dixon FM, Raz N. Neuroanatomical correlates of selected executive functions in middle-aged and older adults: a prospective MRI study. Neuropsychologia. 2003;41:1929–1941
  25. Head D, Buckner RL, Shimony JS, Williams LE, Akbudak E, Conturo TE, et al. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the alzheimer type: evidence from diffusion tensor imaging. Cereb. Cortex. 2004;14:410–423
  26. Heyder K, Suchan B, Daum I. Cortico-subcortical contributions to executive control. Acta Psychol. 2004;115:271–289
  27. Honey GD, Bullmore ET, Sharma T. Prolonged reaction time to a verbal working memory task predicts increased power of posterior parietal cortical activation. Neuroimage. 2000;12:495–503
  28. Keys BA, White DA. Exploring the relationship between age, executive abilities, and psychomotor speed. J. Int. Neuropsychol. Soc. 2000;6:76–82
  29. Makris N, Kennedy DN, McInerney S, Sorensen AG, Wang R, Caviness VS, et al. Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study. Cereb. Cortex. 2005;15:854–869
  30. Mega MS, Cummings JL. Frontal-subcortical circuits and neuropsychiatric disorders. J. Neuropsychiat. Clin. Neurosci. 1994;6:358–370
  31. Mesulam M-M. Brain, mind, and evolution of connectivity. Brain Cogn. 2000;42:4–6
  32. Mesulam M-M. Principles of Behavioral and Cognitive Neurology. New York, USA: Oxford University Press; 2000;
  33. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn. Psychol. 2000;41:49–100
  34. Morris RG. Neurobiological abnormalities in Alzheimer's disease: Structural, genetic and functional correlates of cognitive dysfunction. In:  Morris RG,  Becker JT editor. The Cognitive Neuropsychology of Alzheimer's Disease. Oxford: Oxford University Press; 2004;
  35. Nagy Z, Westerberg H, Klingberg T. Maturation of white matter is associated with the development of cognitive functions during childhood. J. Cogn. Neurosci. 2004;16:1227–1233
  36. Nusbaum AO, Tang CY, Buchsbaum MS, Wei TC, Atlas SW. Regional and global changes in cerebral diffusion with normal aging. AJNR Am. J. Neuroradiol. 2001;22:136–142
  37. O'Sullivan M, Jones DK, Summers PE, Morris RG, Williams SCR, Markus HS. Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline. Neurology. 2001;57:632–638
  38. O'Sullivan M, Morris RG, Huckstep B, Jones DK, Williams SCR, Markus HS. White matter damage measured by diffusion tensor MRI correlates with cognitive dysfunction in ischaemic leukoaraiosis. J. Neurol. Neurosurg. Psychiatry. 2004;75:441–447
  39. Olesen PJ, Nagy Z, Westerberg H, Klingberg T . Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network. Cogn. Brain Res. 2003;18:48–57
  40. Prins ND, van Dijk EJ, den HT, Vermeer SE, Jolles J, Koudstaal PJ, et al. Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain. 2005;128:2034–2041
  41. Rieger M, Gauggel S, Burmeister K. Inhibition of ongoing responses following frontal, nonfrontal, and basal ganglia lesions. Neuropsychology. 2003;17:272–282
  42. Rovaris M, Comi G, Rocca MA, Cercignani M, Colombo B, Santuccio G, et al. Relevance of hypointense lesions on fast fluid attenuated inversion recovery MR images as a marker of disease severity in cases of multiple sclerosis. AJNR Am. J. Neuroradiol. 1999;20:813–820
  43. Salthouse TA. Mediation of adult age differences in cognition by reductions in working memory and speed of processing. Psychol. Sci. 1991;2:179–183
  44. Salthouse TA. Speed mediation of adult age differences in cognition. Dev. Psychol. 1993;29:722–738
  45. Salthouse TA. Relations between cognitive abilities and measures of executive functioning. Neuropsychology. 2005;19:532–545
  46. Salthouse TA, Atkinson TM, Berish DE. Executive functioning as a potential mediator of age-related cognitive decline in normal adults. J. Exp. Psychol. Gen. 2003;132:566–594
  47. Schretlen D, Pearlson GD, Anthony JC, Aylward EH, Augustine AM, Davis A, et al. Elucidating the contributions of processing speed, executive ability, and frontal lobe volume to normal age-related differences in fluid intelligence. J. Int. Neuropsychol. Soc. 2000;6:52–61
  48. Shenkin SD, Bastin ME, MacGillivray TJ, Deary IJ, Starr JM, Wardlaw JM. Childhood and current cognitive function in healthy 80-year-olds: a DT-MRI study. Neuroreport. 2003;14:345–349
  49. Snyder PJ, Cappelleri JC. Information processing speed deficits may be better correlated with the extent of white matter sclerotic lesions in multiple sclerosis than previously suspected. Brain Cogn. 2001;46:279–284
  50. Span MM, Ridderinkhof KR, van der Molen MW. Age-related changes in the efficiency of cognitive processing across the life span. Acta Psychol. 2004;117:155–183
  51. Trenerry MR, Crosson B, DeBoe J, Leber WR. STROOP: Neuropsychological Screening Test. Lutz, USA: Psychological Assessment Resources, Inc.; 1988;
  52. Trites R. The Grooved Pegboard Test. Ottawa, Canada: Royal Ottawa Hospital; 1977;
  53. Wechsler D. Wechsler Adult Intelligence Scale—Revised. New York, USA: Psychological Corporation; 1981;
  54. Wechsler D. Wechsler Abbreviated Scale of Intelligence. New York, USA: The Psychological Corporation; 1999;
  55. Wechsler D, Wycherley RJ, Benjamin L, Callanan M, Lavender T, Crawford JR, et al. Wechsler Memory Scale—III. third ed.. London, UK: The Psychological Corporation; 1998;
  56. Woods RP, Grafton ST, Holmes CH, Cherry SR, Mazziota JC. General methods and intra-subject intra-modality validation. J. Comput. Assist. Tomogr. 1998;22:139–152
  57. Woods RP, Grafton ST, Holmes CH, Cherry SR, Mazziota JC. Automated image registration. II. Intersubject validation of linear and non-linear models. J. Comput. Assist. Tomogr. 1998;22:153–165

PII: S0197-4580(07)00126-1

doi: 10.1016/j.neurobiolaging.2007.03.017

Neurobiology of Aging
Volume 29, Issue 10 , Pages 1547-1555 , October 2008

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