The Influence of Work and Occupation on Brain Development

Neil Charness

doi:10.1017/CBO9780511499722.016

14 - The Influence of Work and Occupation on Brain Development

Published online by Cambridge University Press: 17 July 2009

Neil Charness

Edited by

Paul B. Baltes ,

Patricia A. Reuter-Lorenz and

Frank Rösler

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Neil Charness: Affiliation:
Professor of Psychology, Department of Psychology Florida State University, Tallahassee, USA
Paul B. Baltes: Affiliation:
Max-Planck-Institut für Bildungsforschung, Berlin
Patricia A. Reuter-Lorenz: Affiliation:
University of Michigan, Ann Arbor
Frank Rösler: Affiliation:
Philipps-Universität Marburg, Germany

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ABSTRACT

Despite its importance, there has been relatively little research on the role of occupational and work environment influences on brain development. I assess some of the existing literature, drawing inferences based on the probable relationship between cognition, and both brain structure and function, and centering particularly on the issue of adult aging. I review research focusing on occupational complexity and intellectual functioning, specific effects of particular occupations on certain brain regions, and protective effects of occupations on the brain during aging and the development of dementia.

INTRODUCTION

In a popular joke, Sherlock Holmes, the famous detective and Dr. Watson, his constant companion, go camping, and they pitch their tent under the stars. During the night, Holmes wakes his companion and says: “Watson, look up and tell me what you see.” Watson says: “I see millions of stars.” Holmes says: “What do you deduce from that?” Watson says: “If a few of those have planets, it's quite likely there are some planets like Earth, and if there are a few planets like Earth out there, there might also be life elsewhere in the universe. What do you deduce, Holmes?” Holmes replies: “Watson, you idiot, someone stole our tent!”

Sometimes it is difficult to see what is before our noses. Many of the people reading these words spend 43+ hours per week (if living in the United States) working in a highly structured occupation that provides them with the resources to live in a modern society.

Type: Chapter
Information: Lifespan Development and the Brain
The Perspective of Biocultural Co-Constructivism
, pp. 306 - 325

DOI: https://doi.org/10.1017/CBO9780511499722.016 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2006

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References

Atherton, M., Zhuang, J., Bart, W. M., Hu, X., & He, S. (2003). A functional MRI study of high-level cognition: I. The game of chess. Cognitive Brain Research, 16, 26–31CrossRef Google Scholar PubMed

Baltes, P. B. (1979). Life-span developmental psychology: Some converging observations on history and theory. In P. B. Baltes & O. G. Brim, Jr. (Eds.), Life-span development and behavior (Vol. 2, pp. 255–279). New York:Academic PressGoogle Scholar

Cabeza, R. (2002). Hemispheric asymmetry reduction in older adults: The HAROLD model. Psychology and Aging, 17, 85–100CrossRef Google Scholar PubMed

Campitelli, G. (2003). Cognitive and neuronal bases of expertise. Unpublished doctoral dissertation, University of Nottingham, Nottingham, UKGoogle Scholar

Charness, N. (1981). Search in chess: Age and skill differences. Journal of Experimental Psychology: Human Perception and Performance, 7, 467–476Google Scholar

Charness, N., Krampe, R., & Mayr, U. (1996). The role of practice and coaching in entrepreneurial skill domains: An international comparison of life-span chess skill acquisition. In K. A. Ericsson (Ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports and games (pp. 51–80). Mahwah, NJ:ErlbaumGoogle Scholar

Charness, N., Reingold, E. M., Pomplun, M., & Stampe, D. M. (2001). The perceptual aspect of skilled performance in chess: Evidence from eye movements. Memory and Cognition, 29, 1146–1152CrossRef Google Scholar PubMed

Charness, N., Tuffiash, M., Krampe, R., Reingold, E. M., & Vasyukova, E. (2005). The role of deliberate practice in chess expertise. Applied Cognitive Psychology, 19, 151–165CrossRef Google Scholar

Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55–81CrossRef Google Scholar

Colcombe, S. J., Erickson, K. I., Raz, N., Webb, A. G., Cohen, N. J., McAuley, E., & Kramer, A. F. (2003). Aerobic fitness reduces brain tissue loss in aging humans. Journal of Gerontology: Medical Sciences, 58A, M176–M180Google Scholar

Groot, A. D. (1978). Thought and choice in chess (2nd ed.). The Hague: MoutonGoogle Scholar

Dickens, W. T., & Flynn, J. R. (2001). Heritability estimates versus large environmental effects: The IQ paradox resolved. Psychological Review, 108, 346–369CrossRef Google Scholar PubMed

Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B., & Taub, E. (1995). Increased cortical representation of the fingers of the left hand in string players. Science, 270, 305–307CrossRef Google Scholar PubMed

Elo, A. E. (1965). Age changes in master chess performances. Journal of Gerontology, 20, 289–299Google Scholar

Elo, A. E. (1986). The rating of chessplayers, past and present (2nd ed.). New York: ArcoGoogle Scholar

Ericsson, K. A., Chase, W. G., & Faloon, S. (1980). Acquisition of a memory skill. Science, 208, 1181–1182CrossRef Google Scholar

Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245CrossRef Google Scholar PubMed

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406CrossRef Google Scholar

Fisk, A. D., Rogers, W. A., Charness, N., Czaja, S. J., & Sharit, J. (2004). Designing for older adults: Principles and creative human factors approaches. London:Taylor & FrancisCrossRef Google Scholar

Flynn, J. R. (1987). Massive gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101, 171–191CrossRef Google Scholar

Gauthier, I., & Tarr, M. J. (2002). Unraveling mechanisms for expert object recognition bridging brain activity and behavior. Journal of Experimental Psychology: Human Perception and Performance, 28, 431–446Google Scholar PubMed

Hale, S., & Myerson, J. (1995). Fifty years older, fifty percent slower? Meta-analytic regression models and semantic context effects. Aging and Cognition, 2, 132–145Google Scholar

Hunt, E. B. (1995). Will we be smart enough? A cognitive analysis of the coming workforce. New York: Russell Sage FoundationGoogle Scholar

Isenmann, S., Kretz, A., & Cellerino, A. (2003). Molecular determinants of retinal ganglion cell development, survival, and regeneration. Progress in Retinal and Eye Research, 22, 483–543CrossRef Google Scholar PubMed

Katzman, R. (1993). Education and the prevalence of dementia and Alzheimer's disease. Neurology, 43, 13–20CrossRef Google Scholar PubMed

Laland, K. N., Odling-Smee, J., & Feldman, M. W. (2000). Niche construction, biological evolution, and cultural change. Behavioral and Brain Sciences, 23, 131–175CrossRef Google Scholar PubMed

Lemaire, P., & Siegler, R. S. (1995). Four aspects of strategic change: Contributions to children's learning of multiplication. Journal of Experimental Psychology: General, 124, 83–97CrossRef Google Scholar PubMed

Maguire, E. A., Frackowiak, R. S. J., & Frith, C. D. (1997). Recalling routes around London: Activation of the right hippocampus in taxi drivers. Journal of Neuroscience, 17, 7103–7110CrossRef Google Scholar PubMed

Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences (USA), 97, 4398–4403CrossRef Google Scholar PubMed

Maguire, E. A., Valentine, E. R., Wilding, J. M., & Kapur, N. (2003). Routes to remembering: The brains behind superior memory. Nature Neuroscience, 6, 90–95CrossRef Google Scholar PubMed

Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000). Synaptic plasticity and memory: An evaluation of the hypothesis. Annual Review of Neuroscience, 23, 649–711CrossRef Google Scholar PubMed

Mireles, D. E., & Charness, N. (2002). Computational explorations of the influence of structured knowledge on age-related cognitive decline. Psychology and Aging, 17, 245–259CrossRef Google Scholar PubMed

Munoz, D. G., Ganapathy, G. R., Eliasziw, M., & Hachinski, V. (2000). Educational attainment and socioeconomic status of patients with autopsy-confirmed Alzheimer disease. Archives of Neurology, 57, 85–89CrossRef Google Scholar PubMed

Newell, A. (1990). Unified theories of cognition.Cambridge, MA: Harvard University PressGoogle Scholar

Noe, R. A., & Wilk, S. L. (1993). Investigation of the factors that influence employees' participation in developmental activities. Journal of Applied Psychology, 78, 291–302CrossRef Google Scholar

Pantev, C., Oostenveld, R., Engelien, A., Ross, B., Roberts, L. E., & Hoke, M. (1998). Increased auditory cortical representation in musicians. Nature, 392, 811–814CrossRef Google Scholar PubMed

Quartz, S. R., & Sejnowski, T. J. (1997). The neural basis of cognitive development: A constructivist manifesto. Behavioral and Brain Sciences, 20, 537–556CrossRef Google Scholar PubMed

Raz, N., Gunning-Dixon, F. M., Head, D., Dupuis, J. H., & Acker, J. D. (1998). Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging. Neuropsychology, 12, 95–114CrossRef Google Scholar PubMed

Reingold, E. M., Charness, N., Pomplun, M., & Stampe, D. M. (2001). Visual span in expert chess players: Evidence from eye movements. Psychological Science, 12, 48–55CrossRef Google Scholar PubMed

Reingold, E. M., Charness, N., Schultetus, R. S., & Stampe, D. M. (2001). Perceptual automaticity in expert chess players: Parallel encoding of chess relations. Psychonomic Bulletin and Review, 8, 504–510CrossRef Google Scholar PubMed

Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428CrossRef Google Scholar PubMed

Scarmeas, N., Zarahn, E., Anderson, K. E., Honig, L. S., Park, A., Hilton, J., et al. (2004). Cognitive reserve-mediated modulation of positron emission tomographic activations during memory tasks in Alzheimer disease. Archives of Neurology, 61, 73–78CrossRef Google Scholar PubMed

Schooler, C., & Mulatu, M. S. (2001). The reciprocal effects of leisure time activities and intellectual functioning in older people: A longitudinal analysis. Psychology and Aging, 16, 466–482CrossRef Google Scholar PubMed

Schooler, C., Mulatu, M. S., & Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychology and Aging, 14, 483–506CrossRef Google Scholar PubMed

Simon, H. A. (1974). How big is a chunk? Science, 183, 482–488Google Scholar

Simon, H. A. (1981). The sciences of the artificial (2nd ed.). Cambridge, MA: MIT PressGoogle Scholar

Sokoloff, L. (1989). Circulation and energy metabolism of the brain. In G. Siegel, B. Agranoff, R. W. Albers, & P. Molinoff (Eds.), Basic neurochemistry (4th ed., pp. 565–590). New York: Raven PressGoogle Scholar

Staff, R. T., Murray, A. D., Deary, I. J., & Whalley, L. J. (2004). What provides cerebral reserve?Brain, 127, 1191–1199CrossRef Google Scholar PubMed

Stern, Y., Alexander, G. E., Prohovnik, I., Stricks, L., Link, B., Lennon, M. C., & Mayeux, R. (1995). Relationship between lifetime occupation and parietal flow: Implications for a reserve against Alzheimer's disease pathology. Neurology, 45, 55–60CrossRef Google Scholar PubMed

Tarr, M. J., & Gauthier, I. (2000). FFA: A flexible fusiform area for subordinate-level visual processing automatized by expertise. Nature Neuroscience, 3, 764–769CrossRef Google Scholar PubMed

United States Department of Labor. (1991). Dictionary of occupational titles (4th ed.). Washington, DC: U.S. Government Printing Office

Vandenbergh, J. G. (2003). Prenatal hormone exposure and sexual variation. American Scientist, 91, 218–225CrossRef Google Scholar

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14 - The Influence of Work and Occupation on Brain Development

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