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Evolution of cognitive function via redeployment of brain areas

Anderson, Prof. Michael L. (2006) Evolution of cognitive function via redeployment of brain areas. [Preprint]

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Abstract

The creative re-use of existing cognitive capacities may have played a significant role in the evolutionary development of the brain. There are obvious evolutionary advantages to such redeployment, and the data presented here confirm three important empirical predictions of this account of the development of cognition: (1) a typical brain area will be utilized by many cognitive functions in diverse task categories, (2) evolutionarily older brain areas will be deployed in more cognitive functions and (3) more recent cognitive functions will utilize more, and more widely scattered brain areas. These findings have implications not just for our understanding of the evolutionary origins of cognitive function, but also for the practice of both clinical and experimental neuroscience.

Item Type:Preprint
Keywords:Adaptation, Physiological; Brain; Cortex; Cognition; Evolution
Subjects:Neuroscience > Brain Imaging
Biology > Evolution
Psychology > Cognitive Psychology
ID Code:5017
Deposited By:Anderson, Dr. Michael
Deposited On:01 Aug 2006
Last Modified:12 Sep 2007 18:06

References in Article

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Anderson, M. L. 2006. Evidence for massive redeployment of brain areas in cognitive function. Proc. Cog. Sci. Soc. 28.

Anderson, M.L. In press. The massive redeployment hypothesis and the functional topography of the brain. Phil. Psych.

Barsalou, L.W. 1999. Perceptual Symbol Systems. Behav. Brain Sci. 22, 577–660.

Brodmann, K. 1907. Beiträge zur histologischen Lokalisation der Großhirnrinde J. Psychol. Neurol. 10, 231–4.

Cabeza, R. and Nyberg, L. 2000. Imaging cognition II: An empirical review of 275 PET and fMRI studies. Journal of Cognitive Neuroscience 12, 1–47.

Corbetta, M., Miezin, F. M., Shulman, G. L., and Petersen, S. E. 1993. A PET study of visuospatial attention. J. Neuroscience 13, 1202–26.

Cosmides, L. 1989. The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task. Cognition 31, 187–276.

Cruse, H. 2003. The evolution of cognition—a hypothesis. Cognitive Science 27, 135–155.

Diestel, R. 2005. Graph Theory, 3ed. Heidelberg, Springer-Verlag.

Dijkstra, E. W. 1959. A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–71.

Dubin, M. 2005. Brodmann areas in the human brain with an emphasis on vision and language http://spot.colorado.edu/~dubin/talks/brodmann/brodmann.html

Glenberg, A. and Kaschak, M. 2002. Grounding language in action. Psychonomic Bulletin and Review 9, 558-565.

Gould, S. J. 1991. Exaptation: A crucial tool for an evolutionary psychology. Journal of Social Issues, 3, 43–65.

Gould, S. J. and Vrba, E. 1982. Exaptation: A missing term in the science of form. Paleobiology 8, 4–15.

Han, X., Xu, C., Braga-Neto, U., and Prince, J. L. 2001. Graph-based topology correction for brain cortex segmentation. Proc. XVIIth Int. Conf. Information Processing in Medical Imaging.

Heineman, G.T. and Councill, W.T. 2001. Component-Based Software Engineering: Putting The Pieces Together. (Addison-Wesley, New York).

Lakoff, G. and Núñez, R. 2000. Where Mathematics Comes From. Basic Books, New York.

Muller R.A., Rothermel R.D., Behen M.E., Muzik O., Mangner T.J., and Chugani H.T. (1997). Receptive and expressive language activations for sentences: a PET study. Neuroreport, 8(17): 3767-70.

Nielsen, F.Ǻ. 2003. The Brede database: a small database for functional neuroimaging. NeuroImage 19.

Riegler, A. 2001. The cognitive ratchet: The ratchet effect as a fundamental principle in evolution and cognition. Cybernetics & Systems 32, 411–27.

Sporns, O. 2002. Graph theory methods for the analysis of neural connectivity patterns. Kötter, R. (ed.) Neuroscience Databases: A Practical Guide. Klüwer.

Sporns O. and Kötter, R. 2004. Motifs in brain networks. PLoS Biol 2(11): e369.

Suharitdamrong, W. Chaovalitwongse, A. and Pardalos, P. M. 2006. Graph theory-based data mining techniques to study similarity of epileptic brain network. Proc. DIMACS Workshop on Data Mining, Systems Analysis, and Optimization in Neuroscience.

Talairach J. and Tournaux P. 1988. Co-planar stereotaxic atlas of the human brain. Thieme, New York.

Uttal, W. R. (2001) The New Phrenology: The Limits of Localizing Cognitive Processes in the Brain. Cambridge: MIT Press.

Wilson, M. 2001. The case for sensorimotor coding in working memory. Psychonomic Bulletin and Review 8, 44–57.

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