Magnetic resonance imaging determinants of intraindividual variability in the elderly: Combined analysis of grey and white matter

Neuroscience

Volumn 186, Issue , 2011, Pages 88-93

  Moy, G ^a   Millet, P ^a   Haller, S ^a   Baudois, S ^a   de Bilbao, F ^a   Weber, K ^a   Lovblad K ^a   Lazeyras, F ^a   Giannakopoulos, P ^a,b   Delaloye, C ^a,c  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

^c UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Aging; Fractional anisotropy; Intraindividual variability

Indexed keywords

ADULT; AGE; AGED; AGING; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; CORRELATION ANALYSIS; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; FRONTAL LOBE; GRAY MATTER; HUMAN; INTRAINDIVIDUAL VARIABILITY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REACTION TIME; TASK PERFORMANCE; VOXEL BASED MORPHOMETRY; WHITE MATTER;

ADULT; AGED; AGED, 80 AND OVER; AGING; COGNITION DISORDERS; FEMALE; FRONTAL LOBE; HUMANS; INDIVIDUALITY; MALE; MEMORY DISORDERS; MIDDLE AGED; NERVE DEGENERATION; NERVE FIBERS, MYELINATED; YOUNG ADULT;

EID: 79957974368     PISSN: 03064522     EISSN: 18737544     Source Type: Journal    
DOI: 10.1016/j.neuroscience.2011.04.028     Document Type: Article

References (39)

1. Adler C.M., Holland S.K., Schmithorst V., Wilke M., Weiss K.L., Pan H., Strakowski S.M. Abnormal frontal white matter tracts in bipolar disorder: a diffusion tensor imaging study. Bipolar Disord 2004, 6:197-203.
2. Anstey K.J. Sensorimotor and forced expiratory volume as correlates of speed, accuracy, and variability in reaction time performance in late adulthood. Aging Neuropsychol Cogn 1999, 6:84-95.
3. Anstey K.J., Dear K., Christensen H., Jorm A.F. Biomarkers, health, lifestyle, and demographic variables as correlates of reaction time performance in early, middle, and late adulthood. Q J Exp Psychol A 2005, 58:5-21.
4. Anstey K.J., Mack H.A., Christensen H., Li S.C., Reglade-Meslin C., Maller J., Kumar R., Dear K., Easteal S., Sachdev P. Corpus callosum size, reaction time speed and variability in mild cognitive disorders and in a normative sample. Neuropsychologia 2007, 45:1911-1920.
5. Backman L., Nyberg L., Lindenberger U., Li S.C., Farde L. The correlative triad among aging, dopamine, and cognition: current status and future prospects. Neurosci Biobehav Rev 2006, 30:791-807.
6. Bosch B, Arenaza-Urquijob EM, Rami L, Sala-Llonch R, Junqué C, Solé-Padullésa C, Peña-Gómez L, Bargalló N, Molinuevo JL, Bartrés-Faz D (in press) Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging. doi:10.1016/j.neurobiolaging.2010.02.004.
7. Burgess P.W., Shallice T. Response suppression, initiation and strategy use following frontal lobe lesions. Neuropsychologia 1996, 34:263-272.
8. de Ribaupierre A., Ghisletta P., Lecerf T. Etude de la variabilité inter- etintra-individuelle au cours du cycle de vie. Perspectives de psychologie différentielle 2006, 169-173. Presses Universitaires de Rennes, Rennes. C. Houssemand, R. Martin, P. Dickes (Eds.).
9. Folstein M.F., Folstein S.E., McHugh P.R. "Mini-Mental State": a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975, 12:189-198.
10. Giorgio A., Santelli L., Tomassini V., Bosnell R., Smith S., De Stefano N., Johansen-Berg H. Age-related changes in grey and white matter structure throughout adulthood. Neuroimage 2010, 51:943-951.
11. Haier R.J., Jung R.E., Yeo R.A., Head K., Alkire M.T. Structural brain variation, age, and response time. Cogn Affect Behav Neurosci 2005, 5:246-251.
12. Haller S., Nguyen D., Rodriguez C., Emch J., Gold G., Bartsch A., Lovblad K.O., Giannakopoulos P. Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis 2010, 22:315-327.
13. Hultsch D.F., MacDonald S.W., Hunter M.A., Levy-Bencheton J., Strauss E. Intraindividual variability in cognitive performance in older adults: comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology 2000, 14:588-598.
14. Hultsch D.F., MacDonald S.W.S. Intraindividual variability in performance as a theoretical window onto cognitive aging. New frontiers in cognitive aging 2004, 65-88. Oxford University Press, New York. R.A. Dixon, L.L. Bäckman, L.-G. Nilsson (Eds.).
15. Hultsch D.F., MacDonald S.W.S., Dixon R.A. Variability in reaction time performance of younger and older adults. J Gerontol B Psychol Sci Soc Sci 2002, 57:101-115.
16. Hultsch D.F., Strauss E., Hunter M.A., MacDonald S.W. Intraindividual variability, cognition, and aging. The handbook of aging and cognition 2008, 491-556. Psychology Press, New York. 3rd ed. F.I.M. Craik, T.A. Salthouse (Eds.).
17. Ivanoiu A., Adam S., Van der Linden M., Salmon E., Juillerat A.C., Mulligan R., Seron X. Memory evaluation with a new cued recall test in patients with mild cognitive impairment and Alzheimer's disease. J Neurol 2005, 252:47-55.
18. Kelly A.M., Uddin L.Q., Biswal B.B., Castellanos F.X., Milham M.P. Competition between functional brain networks mediates behavioral variability. Neuroimage 2008, 39:527-537.
19. Li S.C., Lindenberger U., Sikstrom S. Aging cognition: from neuromodulation to representation. Trends Cogn Sci 2001, 5:479-486.
20. Lindenberger U., von Oertzen T. Variability in cognitive aging: from taxonomy to theory. Lifespan cognition: mechanisms of change 2006, 297-314. Oxford University Press, Oxford. F.I.M. Craik, E. Bialystok (Eds.).
21. MacDonald S.W., Hultsch D.F., Bunce D. Intraindividual variability in vigilance performance: does degrading visual stimuli mimic age-related "neural noise"?. J Clin Exp Neuropsychol 2006, 28:655-675.
22. MacDonald S.W., Nyberg L., Sandblom J., Fischer H., Bäckman L. Increased response- time variability is associated with reduced inferior parietal activation in recognition memory in aging. J Cogn Neurosci 2008, 20:779-786.
23. MacDonald S.W., Li S.C., Backman L. Neural underpinnings of within-person variability in cognitive functioning. Psychol Aging 2009, 24:792-808.
24. Morris N., Jones D.M. Memory updating in working memory: the role of the central executive. Br J Clin Psychol 1990, 81:111-121.
25. Murtha S., Cismaru R., Waechter R., Chertkow H. Increased variability accompanies frontal lobe damage in dementia. J Int Neuropsychol Soc 2002, 8:360-372.
26. Nesselroade J.R. Elaborating the different in differential psychology. Multivariate Behav Res 2002, 37:543-561.
27. Nesselroade J.R., Salthouse T.A. Methodological and theoretical implications of intraindividual variability in perceptual-motor performance. J Gerontol B Psychol Sci Soc Sci 2004, 59:49-55.
28. Peterson R.C., Negash S. Mild cognitive impairment: an oveview. CNS Spectr 2008, 13:45-53.
29. Song S.K., Sun S.W., Ju W.K., Lin S.J., Cross A.H., Heufeld A.H. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage 2003, 20:1714-1722.
30. Song S.K., Sun S.W., Ramsbottom M.J., Chang C., Russel J., Cross A.H. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002, 17:1429-1436.
31. Smith S.M., Jenkinson M., Johansen-Berg H., Rueckert D., Nichols T.E., Mackay C.E., Watkins K.E., Ciccarelli O., Cader M.Z., Matthews P.M., Behrens T.E. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006, 31:1487-1505.
32. Smith S.M., Johansen-Berg H., Jenkinson M., Rueckert D., Nichols T.E., Miller K.L., Robson M.D., Jones D.K., Klein J.C., Bartsch A.J., Behrens T.E. Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nat Protoc 2007, 2:499-503.
33. Smith S.M., Nichols T.E. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 2009, 44:83-98.
34. Strauss E., MacDonald S.W., Hunter M., Moll A., Hultsch D.F. Intraindividual variability in cognitive performance in three groups of older adults: cross-domain links to physical status and self-perceived affect and beliefs. J Int Neuropsychol Soc 2002, 8:893-906.
35. Stroop J.R. Studies of interference in serial verbal reactions. J Exp Psychol Gen 1935, 18:643-661.
36. Stuss D.T., Murphy K.J., Binns M.A., Alexander M.P. Staying on the job: the frontal lobes control individual performance variability. Brain 2003, 126:2363-2380.
37. Wechsler D.A. WAIS-III administration and scoring manual 1997, Psychological Corporation, San Antonio.
38. Welsh K.A., Butters N., Mohs R.C., Beekly D., Edland S., Fillenbaum G., Heyman A. The consortium to establish a registry for Alzheimer's disease (CERAD): V. A normative study of the neuropsychological battery. Neurology 1994, 44:609-614.
39. West R., Murphy K.J., Armilio M.L., Craik F.I., Stuss D.T. Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain Cogn 2002, 49:402-419.