Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity

Trends in Neurosciences

Volumn 29, Issue 8, 2006, Pages 474-480

  MacDonald, Stuart W S ^a   Nyberg, Lars ^b   Bäckman, Lars ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

^b UMEÅ UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CATECHOL METHYLTRANSFERASE; CATECHOLAMINE; DOPAMINE;

AGING; ALZHEIMER DISEASE; ATTENTION DEFICIT DISORDER; BEHAVIORAL SCIENCE; COGNITION; CORRELATION ANALYSIS; DEMENTIA; DISEASE ASSOCIATION; DOPAMINERGIC SYSTEM; DOPAMINERGIC TRANSMISSION; ELECTROENCEPHALOGRAPHY; EVOKED CORTICAL RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LIFESPAN; MENTAL PERFORMANCE; NEUROANATOMY; NEUROBIOLOGY; NEUROCHEMISTRY; NEUROLOGIC EXAMINATION; NEUROPSYCHOLOGY; NEUROSCIENCE; NEUROTRANSMISSION; PREFRONTAL CORTEX; PRIORITY JOURNAL; PSYCHOLOGIC TEST; REVIEW; SCHIZOPHRENIA; TASK PERFORMANCE; TRAUMATIC BRAIN INJURY;

AGING; ANIMALS; BEHAVIOR; BRAIN; BRAIN DISEASES; HUMANS; INDIVIDUALITY; NEURONS; NEUROTRANSMITTER AGENTS;

EID: 33746323949     PISSN: 01662236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tins.2006.06.011     Document Type: Review

References (67)

1. Hultsch D.F., and MacDonald S.W.S. Intraindividual variability in performance as a theoretical window onto cognitive aging. In: Dixon R.A., et al. (Ed). New Frontiers in Cognitive Aging (2004), Oxford University Press 65-88
2. Nesselroade J.R. Elaborating the different in differential psychology. Multivariate Behav. Res. 37 (2002) 543-561
3. Jensen A.R. The importance of intraindividual variation in reaction time. Pers. Indiv. Dif. 13 (1992) 869-881
4. Hultsch D.F., et al. Intraindividual variability in cognitive performance in the elderly: comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology 14 (2000) 588-598
5. Murtha S., et al. Increased variability accompanies frontal lobe damage in dementia. J. Int. Neuropsychol. Soc. 8 (2002) 360-372
6. Cattell R.B. The data box: its ordering of total resources in terms of relational systems. In: Cattell R.B. (Ed). Handbook of Multivariate Experimental Psychology (1966), Rand McNally 67-128
7. Hultsch D.F., et al. Variability in reaction time performance of younger and older adults. J. Gerontol. B Psychol. Sci. Soc. Sci. 57 (2002) P101-P115
8. Head H. Aphasia and Kindred Disorders of Speech (1926), Cambridge University Press
9. Hedden T., and Gabrieli J.D.E. Insights into the ageing mind: a view from cognitive neuroscience. Nat. Rev. Neurosci. 5 (2004) 87-97
10. Williams B.R., et al. Inconsistency in reaction time across the lifespan. Neuropsychology 19 (2005) 88-96
11. Li S.-C., et al. Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span. Psychol. Sci. 15 (2004) 155-163
12. Rabbitt P., et al. There are stable individual differences in performance variability, both from moment to moment and from day to day. Q. J. Exp. Psychol. A 54 (2001) 981-1003
13. Duncan J. Attention, intelligence, and the frontal lobes. In: Gazzaniga M.S. (Ed). The Cognitive Neurosciences (1995), MIT Press 721-733
14. Kray J., et al. Age differences in executive functioning across the lifespan: the role of verbalization in task preparation. Acta Psychol. (Amst.) 115 (2004) 143-165
15. Nesselroade J.R., and Salthouse T.A. Methodological and theoretical implications of intraindividual variability in perceptual-motor performance. J. Gerontol. B Psychol. Sci. Soc. Sci. 59 (2004) P49-P55
16. Anstey K.J. Sensorimotor variables and forced expiratory volume as correlates of speed, accuracy, and variability in reaction time performance in late adulthood. Aging Neuropsychol. Cogn. 6 (1999) 84-95
17. MacDonald S.W.S., et al. Performance variability is related to change in cognition: evidence from the Victoria Longitudinal Study. Psychol. Aging 18 (2003) 510-523
18. Strauss E., et al. 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. 8 (2002) 893-906
19. Li S.-C., et al. Short-term fluctuations in elderly people's sensorimotor functioning predict text and spatial memory performance: the MacArthur Successful Aging Studies. Gerontology 47 (2001) 100-116
20. Anstey K.J., et al. Biomarkers, health, lifestyle, and demographic variables as correlates of reaction time performance in early, middle, and late adulthood. Q. J. Exp. Psychol. A 58 (2005) 5-21
21. Shipley B.A., et al. Cognition and all-cause mortality across the entire adult age range: health and lifestyle survey. Psychosom. Med. 68 (2006) 17-24
22. Bunce D., et al. Blocks in choice responding as a function of age and physical fitness. Psychol. Aging 8 (1993) 26-33
23. West R., et al. Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain Cogn. 49 (2002) 402-419
24. Christensen H., et al. Within occasion intra-individual variability and pre-clinical diagnostic status: is intra-individual variability an indicator of mild cognitive impairment?. Neuropsychology 19 (2005) 309-317
25. Stuss D.T., et al. Characterization of stability of performance in patients with traumatic brain injury: variability and consistency on reaction time tests. Neuropsychology 8 (1994) 316-324
26. Burton C.L., et al. Intraindividual variability in physical and emotional functioning: comparison of adults with traumatic brain injuries and healthy adults. Clin. Neuropsychol. 16 (2002) 264-279
27. Stuss D.T., et al. Staying on the job: the frontal lobes control individual performance variability. Brain 126 (2003) 2363-2380
28. Janowsky J.S., et al. Source memory impairment in patients with frontal lobe lesions. Neuropsychologia 27 (1989) 1043-1056
29. Nyberg L., et al. General and specific brain regions involved in encoding and retrieval of events: what, where, and when. Proc. Natl. Acad. Sci. U. S. A. 93 (1996) 11280-11285
30. Castellanos F.X., and Tannock R. Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes. Nat. Rev. Neurosci. 3 (2002) 617-628
31. Westerberg H., et al. Visuo-spatial working memory span: a sensitive measure of cognitive deficits in children with ADHD. Child Neuropsychol. 10 (2004) 155-161
32. Leth-Steensen C., et al. Mean response times, variability, and skew in the responding of ADHD children: a response time distributional approach. Acta Psychol. (Amst.) 104 (2000) 167-190
33. Kuntsi J., et al. Psychological mechanisms in hyperactivity: I. Response inhibition deficit, working memory impairment, delay aversion, or something else?. J. Child Psychol. Psychiatry 42 (2001) 199-210
34. Kuntsi J., and Stevenson J. Psychological mechanisms in hyperactivity: II. The role of genetic factors. J. Child Psychol. Psychiatry 42 (2001) 211-219
35. Bellgrove M.A., et al. Dissecting the attention deficit hyperactivity disorder (ADHD) phenotype: sustained attention, response variability and spatial attentional asymmetries in relation to dopamine transporter (DAT1) genotype. Neuropsychologia 43 (2005) 1847-1857
36. Britton T.C., et al. Variability of cortically evoked motor responses in multiple sclerosis. Electroencephalogr. Clin. Neurophysiol. 81 (1991) 186-194
37. Gogtay N., et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. U. S. A. 101 (2004) 8174-8179
38. Sowell E.R., et al. Mapping cortical change across the human life span. Nat. Neurosci. 6 (2003) 309-315
39. Raz N., et al. Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume. Neurobiol. Aging 25 (2004) 377-396
40. Paus T. Mapping brain maturation and cognitive development during adolescence. Trends Cogn. Sci. 9 (2005) 60-68
41. Bäckman, L. et al. The correlative triad among aging, dopamine, and cognition: current status and future prospects. Neurosci. Biobehav. Rev. (in press)
42. Cohen J.D., and Servan-Schreiber D. Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia. Psychol. Rev. 99 (1992) 45-77
43. Manoach D.S. Prefrontal cortex dysfunction during working memory performance in schizophrenia: reconciling discrepant findings. Schizophr. Res. 60 (2003) 285-298
44. Burton C.L., et al. Intraindividual variability as a marker of neurological dysfunction: a comparison of Alzheimer's disease and Parkinson's disease. J. Clin. Exp. Neuropsychol. 28 (2006) 67-83
45. Winterer G., et al. Prefrontal broadband noise, working memory, and genetic risk for schizophrenia. Am. J. Psychiatry 161 (2004) 490-500
46. Li S.-C., et al. Aging and cognition: from neuromodulation to representation. Trends Cogn. Sci. 5 (2001) 479-486
47. In: Cabeza R., et al. (Ed). Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging (2004), Oxford University Press
48. Weinshilboum R.M., et al. Methylation pharmacogenetics: catechol O-methyltransferase, thiopurine methyltransferase, and histamine N-methyltranferase. Annu. Rev. Pharmacol. Toxicol. 39 (1999) 19-52
49. Egan M.F., et al. Effect of COMT Val MET genotype on frontal lobe function and risk for schizophrenia. Proc. Natl. Acad. Sci. U. S. A. 98 (2001) 6917-6922
50. Barrett P.T., and Eysenck H.J. The relationship between evoked potential component amplitude, latency, contour length, variability, zero-crossings, and psychometric intelligence. Pers. Indiv. Dif. 16 (1994) 3-32
51. Kügler C.F.A., et al. The event-related P300 potential analysis of cognitive human brain aging: a review. Gerontology 39 (1993) 280-303
52. Callicott J.H., et al. Physiological dysfunction of the dorsolateral prefrontal cortex in schizophrenia revisited. Cereb. Cortex 10 (2000) 1078-1092
53. Winterer G., and Weinberger D.R. Genes, dopamine and cortical signal-to-noise ratio in schizophrenia. Trends Neurosci. 27 (2004) 683-690
54. 158-met genotype and individual variation in the brain response to amphetamine. Proc. Natl. Acad. Sci. U. S. A. 100 (2003) 6186-6191
55. Cabeza R. Cognitive neuroscience of aging: contributions of functional neuroimaging. Scand. J. Psychol. 42 (2001) 277-286
56. Logan J.M., et al. Under-recruitment and non-selective recruitment: dissociable neural mechanisms associated with aging. Neuron 33 (2002) 827-840
57. Bellgrove M.A., et al. The functional neuroanatomical correlates of response variability: evidence from a response inhibition task. Neuropsychologia 42 (2004) 1910-1916
58. Yamaguchi S., et al. Rapid prefrontal-hippocampal habituation to novel events. J. Neurosci. 24 (2004) 5356-5363
59. Stein R.B., et al. Neuronal variability: noise or part of the signal?. Nat. Neurosci. 6 (2005) 389-397
60. Wiesenfeld K., and Moss F. Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs. Nature 373 (1995) 33-36
61. Priplata A., et al. Noise-enhanced human balance control. Phys. Rev. Lett. 89 (2002) 238101
62. Li S.-C., et al. A neurocomputational model of stochastic resonance and aging. Neurocomputing 69 (2006) 1553-1560
63. Meyer-Lindenberg A., et al. Reduced prefrontal activity predicts exaggerated striatal dopaminergic function in schizophrenia. Nat. Neurosci. 5 (2002) 267-271
64. Ruskin D.N., et al. Multisecond oscillations in firing rate in the globus pallidus: synergistic modulation by D1 and D2 dopamine receptors. J. Pharmacol. Exp. Ther. 290 (1999) 1493-1501
65. Hanes D.P., and Schall J.D. Neural control of voluntary movement initiation. Science 274 (1996) 427-430
66. Ikegaya Y., et al. Synfire chains and cortical songs: temporal modules of cortical activity. Science 304 (2004) 559-564
67. Johansson R.S., and Birznieks I. First spikes in ensembles of human tactile afferents code complex spatial fingertip events. Nat. Neurosci. 7 (2004) 170-177