The Neurophysical Chemistry of Autism: Postulates from Intelligence Modeling

  • Peter R. Bergethon


This chapter uses a unifying neuroscience theoretical paradigm called intelligence modeling (IM) and cognitive dynamics to connect the observable behaviors that both characterize and define the autism spectrum disorders (ASD) to the underlying anatomical and biochemical mechanisms from which those behaviors emerge. The underlying principles of intelligence modeling that are derived from systems, information and cybernetic theories are described. This analysis is applied to the normal flow of information whose failure is hypothesized to give rise to the defining behaviors of autistic spectrum disorders. From the IM analysis the correlation between the energy needs required for computational solutions in the brain and the resulting behaviors when the energy needs cannot be met is examined. The chapter concludes with a novel model of the underlying neural substrate for ASD and suggests neuroanatomical and physiochemical mechanisms that might be investigated to test this model.


Autistic Spectrum Disorder Autistic Spectrum Disorder Cognitive Action Shannon Entropy Circuit Breaker 
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  1. American Psychiatiry Association (2000) Diagnostic and Statistical Manual of Mental Disorders DSM-IV-TR Fourth Edition, American Psychiatric Publishing, Inc.Google Scholar
  2. Bauman ML, Kemper TL (2005) Neuroanatomic observations of the brain in autism: a review and future directions, Int J Devl Neuroscience 23: 183–187.CrossRefGoogle Scholar
  3. Bergethon PR (2008) Practice Issues in Neurology: Neurogenetics, Continuum Lifelong Learning Neurol 14(2): 158–168.Google Scholar
  4. Bergethon PR (2009) Learning the Language of Patterns, A User’s Guided Tour, 2nd Ed. Dover, MA: Symmetry Learning Press.Google Scholar
  5. Blatt GL, Fitzgerald CM, Guptill JT, Booker AB, Kemper TL, and Bauman ML (2001) Density and distribution of hippocampal neurotransmitter receptors in autism, J Autism Dev Disord 31: 537–543.CrossRefPubMedGoogle Scholar
  6. Boring EG (1930) A new ambiguous figure. Am J Psychol 42: 444.CrossRefGoogle Scholar
  7. Casti J (1992) Reality Rules, Picturing the World in Mathematics, Volume 1, The Fundamentals. New York: Wiley-Interscience.Google Scholar
  8. Chugani DC, Muzik O, Rothermel R, et al. (1999) Altered serotonin synthesis in the dentatothalamocortical pathway in autistic boys, Child And Adolescent Psychiatry Year Book of Psychiatry & Applied Mental Health. 49–50.Google Scholar
  9. Dowling, JE (1979) Information processing by local circuits: The vertebrate retina a model system. In F.O. Schmitt and F.G. Worden (eds) The Neurosciences Fourth Study Program. Cambridge, MA: MIT Press.Google Scholar
  10. Dronkers NF, Pinker S, and Damasio A (2000) Language and the Aphasias in Principles of Neural Science, 4th Ed (Kandel ER, Schwartz JH and Jessell TM, eds), pp. 1169–1187. New York: McGraw-Hill.Google Scholar
  11. Fatemi SH, Stravy JM, Halt AR, et al. (2001) Dysregulation of Reelin and Bcl-2 proteins in autistic cerebellum. J Autism Dev Disord 31: 529–535.CrossRefPubMedGoogle Scholar
  12. Grandin T (1996) Thinking in Pictures, My Life with Autism, p. 165. New York: Vintage Books.Google Scholar
  13. Guptill JT, Booker AB, Gibbs TT, Kemper TL, Bauman ML, and Blatt GJ (2007) [3H]-flunitrazepam-labeled benzodiazepine binding sites in the hippocampal formation in autism: a multiple concentration autoradiographic study. J Autism Dev Disord 37: 911–920.CrossRefPubMedGoogle Scholar
  14. Hartline HK (1940) The receptive fields of optic nerve fibers. Am J Physiol 130: 690–699.Google Scholar
  15. Hill WE (1915) My wife and my mother-in-law. Puck 16: 11.Google Scholar
  16. Hodgkin AL and Huxley AF (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117: 500–544.PubMedGoogle Scholar
  17. Hubel, DH (1988) Eye, Brain, and Vision. New York: Scientific American Library.Google Scholar
  18. Kleinschmidt A, Buchel C, Zeki S, Frackowiak SJ (1998) Human brain activity during spontaneously reversing perception of ambiguous figures. Proc R Soc Lond B 265: 2427–2433.CrossRefGoogle Scholar
  19. Lam KSL, Aman MG, Arnold LE (2006) Neurochemical correlates of antistic disorder. Res Dev Disabil 27:254–289.CrossRefPubMedGoogle Scholar
  20. Lovati C, D’Amico D, Brambilla A, Mariani C, Bussone G (2008) Personality profile and allodynic migraine. Neurol Sci 29: S152–S154.CrossRefPubMedGoogle Scholar
  21. Mason RA, Just MA (2007) Lexical ambiguity in sentence comprehension. Brain Res 1146: 115–127.CrossRefPubMedGoogle Scholar
  22. McDougle CJ, Kresch LE, Goodman WK, Naylor ST, Volkmar FR, DJ Cohen and LH Price (1995) A case-controlled study of repetitive thoughts and behavior in adults with autistic disorder and obsessive-compulsive disorder. Am J Psychiatry 152: 772–777.PubMedGoogle Scholar
  23. Miczek KA and Yoshimura H (1982) Disruption of primate social behavior by d-amphetamine and cocaine: Differential antagonism by antipsychotics. Psychopharmacology 76: 163–171.CrossRefPubMedGoogle Scholar
  24. Mountcastle VB and Darian-Smith J (1968) Neural mechanisms in somesthesia, in Medical Physiology, 12th Ed, Vol II, (VB Mountcastle, ed.), pp. 1372–1423. St. Louis: Mosby.Google Scholar
  25. Muller RA, Chugania DC, Behen ME, Rothermel RD, Muzik O, Chakraborty PK, Chugani HT (1998) Impairment of dentato-thalamo-cortical pathway in autistic men: language activation data from positron emission tomography. Neurosci Lett 245: 1–4.CrossRefPubMedGoogle Scholar
  26. Pickett J, London E (2005) The Neuropathology of autism: a review. J Neuropathol Exp Neurol 64:925–935.CrossRefPubMedGoogle Scholar
  27. Poston T and Stewart I (1996) Catastrophe Theory and Its Applications. Dover Publications.Google Scholar
  28. Roffman JLand Raskin LA (1997), Effects of d-amphetamine and methylphenidate in the young rat, Pharmacology. Biochem Behav 58: 1095–1102.CrossRefGoogle Scholar
  29. Rubin E (1915) Synsoplevede Figurer.Google Scholar
  30. Shannon CE (1948) A mathematical theory of communication. The Bell System Technical Journal 27: 379–423, 623–656.Google Scholar
  31. Stoesz BM (2008) The Role of Selective Attention in Perceptual Switching, Master’s Thesis, Department of Psychology, University of Manitoba.Google Scholar
  32. Sullivan MJL, Tripp DA, and Santor D (2000) Gender differences in pain and pain Behavior: The role of catastrophizing. Cogni Ther Res 24: 121–134.CrossRefGoogle Scholar
  33. Thom R (1994) Structural Stability and Morphogenesis. Westview Press.Google Scholar
  34. Tsatsanis KD, Rourke BP, Klin A, Volkmar FR, Cicchetti D and Schultz RT (2003) Reduced thalamic volume in high-functioning individuals with autism. Biol Psychiatry 53: 121–129.CrossRefPubMedGoogle Scholar
  35. Victor M and Ropper A (2001) Principles of Neurology, 7th Ed. New York: McGraw-Hill Information Services Co.Google Scholar
  36. Von Bertalanffy L (1976) General System Theory: Foundations, Development, Applications, Revised Edition. New York: George Braziller.Google Scholar
  37. Weiner N (1965) Cybernetics, 2nd Edition: or the Control and Communication in the Animal and the Machine. Cambridge, MA: The MIT Press.Google Scholar
  38. Yip J, Soghomonian J-J and Blatt GJ (2007) Decreased GAD67 mRNA levels in cerebellar Purkinje cells in autism: implications for Purkinje cell dysfunction, Acta Neuropathol 113: 559–568.CrossRefPubMedGoogle Scholar
  39. Yip J, Soghomonian J-J and Blatt GJ (2009) Decreased GAD65 mRNA levels in select subpopulations of neurons in the cerebellar dentate nuclei in autism: an in situ hybridization study, Autism Res 2: 50–59.CrossRefPubMedGoogle Scholar
  40. Young HR, Jong DL, Pyeong HY, Dong IK, Ho BL and Yee JS (1999) Perfusion impairments in infantile autism on technetium-99m ethyl cysteinate dimer brain single-photon emission tomography: comparison with findings on magnetic resonance imaging, Eur J Nucl Med 26: 253–259.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Laboratory for Intelligence Modeling and NeurophysicsBoston University School of MedicineBostonUSA

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