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Factor Structure of Planning and Problem-solving: A Behavioral Genetic Analysis of the Tower of London Task in Middle-aged Twins

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Abstract

We examined the genetic architecture of a Tower of London test of planning and problem-solving in 690 middle-aged male twins. Phenotypic analyses revealed only one general factor, but the best-fitting genetic model indicated two correlated genetic factors: speed and efficiency. One variable—number of attempts required to mentally figure the puzzles—loaded on both factors. Shared environmental effects could be dropped with virtually no reduction in model fit. Despite significant nonshared environmental correlations across measures, there was no discernable nonshared environmental factor structure. The correlation between genetic factors (r = 0.46) and the variable loading on both factors could reflect modulation of planning, testing alternatives, and working memory that are required to perform the test. Such coordinated activity is consistent with the notion of a supervisory attentional system, a central executive, or metacognitive ability. The different phenotypic and genetic factor results suggest that relying solely on the former could obscure genetic associations.

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Notes

  1. We use Tower of London as a general term referring to the original Shallice task as well as other variants that have been developed.

  2. Test 1 actually had 18 trials but 4 trials were scored incorrectly due to a computer program error. Thus, scores were based on the average of the 14 useable trials.

  3. To provide additional confirmation of our conclusions, we also reversed the order of these approaches. That is, we tested whether the nonshared environmental covariance structure could be simplified while not imposing any constraints on the genetic factor structure (i.e., leaving the genetic factors as a Cholesky). Because these results yielded identical conclusions about the nature of the nonshared environmental covariance structure, we present only the first set of results.

References

  • Akaike H (1987) Factor analysis and AIC. Psychometrika 52:317–332

    Article  Google Scholar 

  • Andreasen NC, Rezai K, Alliger R, Swayze VW II, Flaum M, Kirchner P, Cohen G, O’Leary DS (1992) Hypofrontality in neuroleptic-naive patients and in patients with chronic schizophrenia. Assessment with xenon 133 single-photon emission computed tomography and the Tower of London. Arch Gen Psychiatr 49:943–958

    PubMed  CAS  Google Scholar 

  • Baddeley AD (1986) Working memory. Oxford University Press, Oxford

    Google Scholar 

  • Berg WK, Byrd DL (2002) The Tower of London spatial problem-solving task: enhancing clinical and research implementation. J Clin Exp Neuropsychol 24:586–604

    Article  Google Scholar 

  • Bouchard TJ Jr, McGue M (2003) Genetic and environmental influences on human psychological differences. J Neurobiol 5:44–45

    Google Scholar 

  • Davis HP, Bajszar G, Squire LR (1994) Colorado neuropsychology tests, version 2.0. Colorado Springs, CO

    Google Scholar 

  • Eaves LJ, Last KA, Young PA, Martin NG (1978) Model-fitting approaches to the analysis of human behavior. Heredity 41:249–320

    Article  PubMed  CAS  Google Scholar 

  • Eisen SA, True WR, Goldberg J, Henderson W, Robinette CD (1987) The Vietnam Era Twin (VET) registry: method of construction. Acta Genet Med Gemellol 36:61–66

    PubMed  CAS  Google Scholar 

  • Eisen SA, Neuman R, Goldberg J, Rice J, True W (1989) Determining zygosity in the Vietnam Era Twin registry: an approach using questionnaires. Clin Genet 35:423–432

    Article  PubMed  CAS  Google Scholar 

  • Fuster JM (1989) The prefrontal cortex: anatomy, physiology and neuropsychology of the frontal lobe. Raven Press, New York

    Google Scholar 

  • Henderson WG, Eisen SE, Goldberg J, True WR, Barnes JE, Vitek M (1990) The Vietnam Era Twin registry: a resource for medical research. Public Health Rep 105:368–373

    PubMed  CAS  Google Scholar 

  • Koren D, Seidman LJ, Goldsmith M, Harvey PD (2006) Real-world cognitive-and metacognitive-dysfunction in schizophrenia: a new approach for measuring (and remediating) more “right stuff”. Schizophr Bull 32:310–326

    Article  PubMed  Google Scholar 

  • Koriat A, Goldsmith M (1998) The role of metacognitive processes in the regulation of memory performance. In: Mazzoni G, Nelson TO (eds) Metacognition and cognitive neuropsychology: monitoring and control processes. Lawrence Erlbaum, Mahwah, pp 97–118

    Google Scholar 

  • Kyllonen PC, Christal RE (1990) Reasoning ability is (little more than) working memory capacity? Intelligence 14:389–433

    Article  Google Scholar 

  • Levin HS, Fletcher JM, Kufers JA, Harward HJ, Lilly MA, Mendelsohn D, Bruce D, Eisenberg H (1996) Dimensions of cognition measured by the Tower of London and other cognitive tasks in head-injured children and adolescents. Develop Neuropsychol 12:17–34

    Google Scholar 

  • Markon KE, Krueger RF (2004) An empirical comparison of information-theoretic selection criteria for multivariate behavior genetic models. Behav Genet 3:593–610

    Article  Google Scholar 

  • Neale MC, Cardon LR (1992) Methodology for genetic studies of twins and families. Kluwer, Dordrecht

    Google Scholar 

  • Neale MC, Boker SM, Xie G, Maes HH (2003) Mx: statistical modeling. Department of psychiatry. Medical College of Virginia, Richmond

    Google Scholar 

  • Nelson TO, Narens L (1990) Metamemory: a theoretical framework and new findings. In: Bower GH (ed) The psychology of learning and motivation. Academic Press, New York, pp 125–173

    Google Scholar 

  • Nichols RC, Bilbro WCJ (1966) The diagnosis of twin zygosity. Acta Genet Stat Med 16:265–275

    PubMed  CAS  Google Scholar 

  • Owen AM, Downes JJ, Sahakian BJ, Polkey CE, Robbins TW (1990) Planning and spatial working memory following frontal lobe lesions in man. Neuropsychologia 28:1021–1034

    Article  PubMed  CAS  Google Scholar 

  • Owen AM, James M, Leigh PN, Summers BA, Marsden CD, Quinn NP, Lange KW, Robbins TW (1992) Fronto-striatal cognitive deficits at different stages of Parkinson’s disease. Brain 115:1727–1751

    Article  PubMed  Google Scholar 

  • Peeters H, Van Gestel S, Vlietinck R, Derom C, Derom R (1998) Validation of a telephone zygosity questionnaire in twins of known zygosity. Behav Genet 28:159–163

    Article  PubMed  CAS  Google Scholar 

  • Phillips LH, Wynn VE, McPherson S, Gilhooly KJ (2001) Mental planning and the Tower of London task. Q J Exp Psychol A 54:579–597

    Article  PubMed  CAS  Google Scholar 

  • Robbins TW, James M, Owen AM, Sahakian BJ, McInnes L, Rabbitt PMA (1998) A neural systems approach to cogntive psychology of ageing using the CANTAB battery. In: Rabbitt PMA (ed) Methodology of frontal and executive function. Psychology Press, Hove, pp 215–238

    Google Scholar 

  • SAS Institute (2000) SAS/STAT user’s guide, volume 8. SAS Institute, Carey

    Google Scholar 

  • Shallice T (1982) Specific impairments of planning. Philos Trans R Soc Lond B Biol Sci 298:199–209

    Article  PubMed  CAS  Google Scholar 

  • Shimamura AP, Metcalfe J (1994) Metacognition: knowing about knowing. MIT Press, Cambridge

    Google Scholar 

  • Stuss DT, Benson DF (1986) The frontal lobes. Raven Press, New York

    Google Scholar 

  • Swan GE, Carmelli D (2002) Evidence for genetic mediation of executive control: a study of aging male twins. J Gerontol 578(2):133–143

    Google Scholar 

  • Tsuang MT, Bar JL, Harley RM, Lyons MJ (2001) The Harvard Twin study of substance abuse: what we have learned. Harv Rev Psychiatr 9:267–279

    Article  CAS  Google Scholar 

  • Unterrainer JM, Rahm B, Kaller CP, Leonhart R, Quiske K, Hope-Selyer K, Meier C, Müller C, Halsband U (2004) Planning abilities and the Tower of London: is this task measuring a discrete cognitive function? J Clin Exp Neuropsychol 26:846–856

    Article  PubMed  CAS  Google Scholar 

  • Ward G, Allport A (1997) Planning and problem-solving using the five-disc Tower of London task. Q J Exp Psychol 50:A49–A78

    Article  Google Scholar 

  • Welsh MC, Satterlee-Cartmell T, Stine M (1999) Towers of Hanoi and London: contribution of working memory and inhibition to performance. Brain Cogn 41:231–242

    Article  PubMed  CAS  Google Scholar 

  • Williams LJ, Holahan PJ (1994) Parsimony-based fit indices for multiple-indicator models: do they work? Struct Equ Model 1:161–189

    Article  Google Scholar 

  • Zook NA, Davalos DB, Delosh EL, Davis HP (2004) Working memory, inhibition, and fluid intelligence as predictors of performance on Tower of Hanoi and London tasks. Brain Cogn 56:286–292

    Article  PubMed  Google Scholar 

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Acknowledgments

Preparation of this article was supported in part by National Institute of Alcohol Abuse and Alcoholism AA10586 and National Institute on Aging Grants AG18386-A1, AG18386-A2, AG22381, and AG22982. Portions of these data were presented at the Behavior Genetics Association meeting, July 2005, and the Gerontological Society of America meeting, November 2005. The US Department of Veterans Affairs has provided financial support for the development and maintenance of the Vietnam Era Twin (VET) Registry. Numerous organizations have provided invaluable assistance in the conduct of this study, including: Department of Defense; National Personnel Records Center, National Archives and Records Administration; Internal Revenue Service; National Opinion Research Center; National Research Council, National Academy of Sciences; the Institute for Survey Research, Temple University. Most importantly, the authors gratefully acknowledge the continued cooperation and participation of the members of the VET Registry and their families. Without their contribution this research would not have been possible.

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Correspondence to William S. Kremen.

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Edited by Danielle Posthuma.

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Kremen, W.S., Jacobson, K.C., Panizzon, M.S. et al. Factor Structure of Planning and Problem-solving: A Behavioral Genetic Analysis of the Tower of London Task in Middle-aged Twins. Behav Genet 39, 133–144 (2009). https://doi.org/10.1007/s10519-008-9242-z

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