, Volume 119, Issue 3, pp 305–310 | Cite as

Effects of nicotine on perceptual speed

  • C. Stough
  • G. Mangan
  • T. Bates
  • B. Kerkin
  • O. Pellett
  • N. Frank
Original Investigation


Two experiments investigating the effects of nicotine on performance in the inspection time (IT) procedure are reported. Experiment 1 compared ITs in smoking (0.8 mg nicotine cigarette), sham-smoking, and no-smoking conditions. IT was significantly shorter in the smoking condition as compared to both the no-smoking or sham-smoking conditions, suggesting that nicotine enhances early information processing. This result is of particular interest because of the correlation between IT and IQ reported in previous experiments. The nicotine related decrease in IT raises the possibility that nicotine enhances at least a subset of the physiological processes underlying intellectual performance. Experiment 2 examined the persistence of this nicotine related enhancement in IT, and investigated the effects of nicotine across 480 IT trials. Results suggested that ITs derived from the last third of the 480 trials were significantly shorter in the 0.8 mg cigarette condition than in no-smoking condition. The results from these two experiments, taken together with recent work examining the effects of nicotine on the string length measure of AEP waveform complexity and Hick decision time (DT), and studies investigating cognitive functioning and cholinergic system dysfunction in dementia, suggest a role of the cholinergic system in intellectual performance.

Key words

Nicotine Perceptual speed Cholinergic system Humans 


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  1. Barrett P, Eysenck HJ, Lucking S (1986) Reaction time and intelligence: a replicated study. Intelligence 10:9–40CrossRefGoogle Scholar
  2. Bates T, Pellett O, Stough C, Mangan GL (1994) The effects of smoking on simple and choice reaction time. Psychopharmacology 114:365–378PubMedGoogle Scholar
  3. Blinkhorn SF, Hendrickson DE (1982) Averaged evoked responses and psychometric intelligence. Nature 295:596–597CrossRefPubMedGoogle Scholar
  4. Brand C, Deary IJ (1982) Intelligence and “inspection time”. In: Eysenck HJ (ed) A model for intelligence. Springer, BerlinGoogle Scholar
  5. Broks P, Preston GC, Traub, Poppleton P, Ward C, Stahl SM (1988) Modelling dementia: effects of scopolamine on memory and attention. Neuropsychologica 26:685–700CrossRefGoogle Scholar
  6. Caryl PG (1991) Evoked potentials, inspection time, and intelligence. Psychologist Bull Br Psychol Soc 4:537–541Google Scholar
  7. Chaiken SR, Young RK (1993) Inspection time and intelligence: attempts to eliminate the apparent movement strategy. Am J Psychol 106:191–210Google Scholar
  8. Deary IT (1993) Inspection time and WAIS-R IQ subtypes: a confirmatory factor analysis study. Intelligence 17:223–236.CrossRefGoogle Scholar
  9. Eysenck HJ (1987) Speed of information processing, reaction time, and the theory of intelligence. In: Vernon PA (ed) Speed of information processing and intelligence. Ablex, Norwood, N.J.Google Scholar
  10. Eysenck HJ (1988) Editorial: the concept of IQ: useful or useless? Intelligence 12:1–6CrossRefGoogle Scholar
  11. Eysenck HJ, Barrett P (1985) Psychophysiology and the measurement of intelligence. In: Reynolds CR, Willson VL (eds) Methodological and statistical advances in the study of individual differences. Plenum Press, New YorkGoogle Scholar
  12. Haier RJ, Robinson DL, Braden W, Williams D (1983) Electrical potentials of the cerebal cortex and psychometric intelligence. Person Indiv Diff 4:591–529CrossRefGoogle Scholar
  13. Hendrickson AE (1982) The biological basis of intelligence: Part II Measurement. In: Eysenck HJ (ed) A model for intelligence. Springer, Berlin Heidelberg New YorkGoogle Scholar
  14. Hendrickson DE, Hendrickson AE (1980) The biological basis for individual differences in intelligence. Personality and Individual Differences 1:3–33CrossRefGoogle Scholar
  15. Jensen AR (1980) Chronometric analysis of intelligence. J Soc Bio Struct 3:103–122CrossRefGoogle Scholar
  16. Jensen AR (1982) Reaction time and psychometricg In: Eysenck HJ (ed) A model for intelligence. Springer, New YorkGoogle Scholar
  17. Jensen AR (1987) Individual differences in the Hick paradigm. In: Vernon PA (ed) Speed of information processing and intelligence. Ablex, Norwood, N.J.Google Scholar
  18. Jensen AR, Munro E (1979) Reaction time, movement time and intelligence. Intelligence 3:121–126CrossRefGoogle Scholar
  19. Juhel J (1991) Relationships between psychometric intelligence and information-processing speed indexes. Eur Bull Cogni Psychol 11:73–105Google Scholar
  20. Kopelman MD (1987) How far could the cholinergic depletion account for the memory deficits of Alzheimer-type dementia or the alcoholic Korsakoff syndrome? In: Stahl SM, Iversen SD, Goodman EC (eds) Cognitive neurochemistry. Oxford University Press, Oxford, pp 303–326Google Scholar
  21. Kranzler JH, Jensen AR (1989) Inspection time and intelligence: a meta-analysis. Intelligence 13:329–347Google Scholar
  22. Lehrl S, Fischer B (1990) A basic information psychological parameter (BIP) for the reconstruction of concepts of intelleigence. Eur J Person 4:259–286Google Scholar
  23. Mackenzie B, Cumming S (1986) How fragile is the relationship between inspection time and intelligence? The effects of apparent motion cues and previous experience. Person Indiv Diff 7[5]:721–729CrossRefGoogle Scholar
  24. Mangan GL, Golding J (1978) An “enhancement” model of smoking behaviour? In: Thornton RE (ed) Smoking behaviour: physiological and psychological influences. Churchill Livingstone, Edinburgh, pp 87–114Google Scholar
  25. Matarazzo JD (1992) Psychological testing and assessment in the 21st century. Am Psychol 47:1007–1018CrossRefPubMedGoogle Scholar
  26. Nettelbeck T (1987) Inspection and intelligence. In: Vernon PA (ed) Speed of information processing and intelligence. Ablex, Norwood, N.J. pp 294–346Google Scholar
  27. Nettelbeck T, Lally M (1976) Inspection time and measured intelligence. Br J Psychol 67:17–22PubMedGoogle Scholar
  28. Petrie RXA, Deary IJ (1989) Smoking and human information processing. Psychopharmacology 99:393–396CrossRefPubMedGoogle Scholar
  29. Stough CKK, Nettelbeck T, Cooper C (1990) Evoked brain potentials, string length and intelligence. Person Indiv Diff 11 [4]:401–406CrossRefGoogle Scholar
  30. Stough C, Bates T, Mangan GL (1995) Smoking, string length and intelligence. Person Indiv Diff (in press)Google Scholar
  31. Stough C, Bates T, Mangan GL, Colrain IC, Pellett O (in press) Inspection time and intelligence: Further attempts at reducing the apparent motion strategy. IntelligenceGoogle Scholar
  32. Vickers D, Smith P (1986) The rationale for the inspection time index. Person Indiv Diff 7:609–624CrossRefGoogle Scholar
  33. Vickers D, Nettelbeck T, Willson RJ (1972) Perceptual indices of performance: The measurement of “inspection time” and “noise” in the visual system. Perception 1:263–295PubMedGoogle Scholar
  34. Warburton DM (1981) The neurochemistry of behaviour. BMJ 37:121–125Google Scholar
  35. Wechsler D (1981) WAIS-R manual: Wechsler Adult Intelligence Scale-Revised. The Psychological Corporation, New YorkGoogle Scholar
  36. Wenes, K, Warburton DM (1983) The effect of smoking on rapid visual information processing performance. Neuropsychobiology 9:223–229PubMedGoogle Scholar
  37. Wesnes K, Warburton DM (1984a) Effects of cigarettes of varying yield on rapid information processing performance. Psychopharmacology 82:338–342CrossRefPubMedGoogle Scholar
  38. Wesnes K, Warburton DM (1984b) Effects of scopolamine and nicotine on human rapid information processing performance. Psychopharmacology 82:147–150CrossRefPubMedGoogle Scholar
  39. Widaman KF, Carlson JS, Saetemore CL, Galbraith GC (1993) The relationship of auditory evoked potentials to fluid and crystallized intelligence. Person Indiv Diff 15:205–218CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 1995

Authors and Affiliations

  • C. Stough
    • 1
  • G. Mangan
    • 2
  • T. Bates
    • 2
  • B. Kerkin
    • 2
  • O. Pellett
    • 2
  • N. Frank
    • 3
  1. 1.Cognitive Psychophysiology LaboratoryThe Medical School, University of QueenslandHerstonAustralia
  2. 2.Department of PsychologyUniversity of AucklandAucklandNew Zealand
  3. 3.Department of PsychologyUniversity of AdelaideGPO AdelaideAustralia

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