HEPOE Theory: High Entropy Predictive Organization Efficiency

There is a newer version of the record available.

Published July 18, 2026 | Version 9
Preprint Open

THE ARCHITECTURE OF IMPEDANCE: Unifying Synaptic Proteins, Nyquist-Shannon Sampling, and P-FIT Bus Resistance in the Autism Spectrum Phenotype

Authors/Creators

  • 1. Independent Researcher

Description

ABSTRACT

Current psychiatric paradigms primarily characterize Autism Spectrum Disorder (ASD) through behavioral observation, resulting in a dualistic gap between molecular genetics and systemic cognitive output. We propose a paradigm shift utilizing the High Entropy Predictive Organization Efficiency (HEPOE) framework to suggest that ASD is not fundamentally a behavioral or developmental deficit, but rather can be conceptualized as an Architecture of Impedance, generating a state of Compulsory Thermodynamic Inefficiency. By integrating the structural decay of post-synaptic density proteins (e.g., SHANK3) with the Nyquist-Shannon sampling theorem, we hypothesize that the core of the ASD phenotype is the inability to compress data at the sensory entry gate (Ωsensory). This uncompressed, high-volume data load is proposed to force the predictive architecture to push raw information through high-resistance white matter pathways defined by the Parieto-Frontal Integration Theory (P-FIT), generating massive network friction (Ωnetwork). We introduce the comprehensive Systemic Friction equation. This framework redefines the varying Support Levels of ASD (Levels 1, 2, and 3) not as static psychological traits, but as the mathematical rate of Predictive Solvency (S(t)) decay. The so-called "social deficits" and rigid routines are thereby reframed as autonomous Entropic Damping protocols, emergent homeostatic attractor states representing the path of least thermodynamic resistance to prevent thermal and metabolic exhaustion in a high-friction neural hardware.

Keywords: Autism Spectrum Disorder (ASD). HEPOE Theory. Predictive Solvency. Nyquist-Shannon Sampling. Systemic Friction. P-FIT Bus Resistance. Systemic Impedance. Entropic Damping.

Files

ASD_Brezolin_and_Freitas_2026_v9_2.pdf

Files (918.0 kB)

Name Size
md5:8f91492497f282a7c0a56b1980bcd0d0
918.0 kB Preview Download

Additional details

Identifiers

URL
https://originalmy.com/bitregistro/22430ab07b8029e4d5b857c88b231a7ed9158b81f0faa983c003967a86d486e0
Other
INPI BR 10 2026 003794 0
Other
INPI BR 51 2026 000122 6
Other
INPI BR 51 2026 001253 8

Related works

References
Preprint: 10.5281/ZENODO.18284802 (DOI)

References

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). doi: https://doi.org/10.1176/appi.books.9780890425596.
  • Astrup, J., Siesjö, B. K., and Symon, L. (1981). Thresholds in cerebral ischemia - the ischemic penumbra. Stroke, 12(6), 723-725. doi: https://doi.org/10.1161/01.str.12.6.723.
  • Bourgeron, T. (2015). From the genetic architecture to synaptic plasticity in autism spectrum disorder. Nature Reviews Neuroscience, 16(9), 551-563. doi: https://doi.org/10.1038/nrn3992.
  • Brezolin, C. L. M., and Freitas, S. B. (2026). THE SENTINEL PHENOTYPE: A Theoretical Bioenergetic and Neurobiological Framework for High-Fidelity Predictive Systems (HEPOE Theory). Zenodo Preprint. doi: https://doi.org/10.5281/zenodo.19324682.
  • Bullmore, E., and Sporns, O. (2012). The economy of brain network organization. Nature Reviews Neuroscience, 13(5), 336-349. https://doi.org/10.1038/nrn3214.
  • Carmassi, C., Palagini, L., Caruso, D., Masci, I., Nobili, L., and Dell'Osso, L. (2019). Systematic Review of Sleep Disturbances and Circadian Sleep Desynchronization in Autism Spectrum Disorder: Toward an Integrative and Comprehensive Model. Frontiers in Psychiatry, 10, 366. doi: https://doi.org/10.3389/fpsyt.2019.00366.
  • Fradkin, Y., Anguera, J. A., Simon, A. J., De Taboada, L., and Steingold, E. (2025). Transcranial photobiomodulation for reducing symptoms of autism spectrum disorder and modulating brain electrophysiology in children aged 2-7: an open label study. Frontiers in Child and Adolescent Psychiatry, 4, 1477839. doi: https://doi.org/10.3389/frcha.2025.1477839.
  • Friston, K. (2010). The free-energy principle: a unified brain theory? Nat. Rev. Neurosci. 11, 127–138. doi: https://doi.org/10.1038/nrn2787.
  • Genuis, S. J., and Bouchard, T. P. (2010). Celiac disease presenting as autism. Journal of Child Neurology, 25(1), 114-119. doi: https://doi.org/10.1177/0883073809336127.
  • Hamilton, C., El Khoury, H., Hamilton, D., Nicklason, F., and Mitrofanis, J. (2022). Lights on for Autism: Exploring Photobiomodulation as an Effective Therapeutic Option. Neurology International, 14(4), 884-893. doi: https://doi.org/10.3390/neurolint14040071.
  • Hossmann, K. A. (1994). Viability thresholds and the penumbra of focal ischemia. Annals of Neurology, 36(4), 557-565. doi: https://doi.org/10.1002/ana.410360404.
  • Hsiao, E. Y., McBride, S. W., Hsien, S., Sharon, G., Hyde, E. R., McCue, T., ... and Mazmanian, S. K. (2013). Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell, 155(7), 1451-1463. doi: https://doi.org/10.1016/j.cell.2013.11.024.
  • Hull, L., Petrides, K. V., Allison, C., Smith, P., Baron-Cohen, S., Lai, M. C., and Mandy, W. (2017). "Putting on My Best Normal": Social camouflaging in adults with autism spectrum conditions. J. Autism Dev. Disord. 47, 2519–2534. doi: https://doi.org/10.1007/s10803-017-3166-5.
  • Jung, R. E., and Haier, R. J. (2007). The parieto-frontal integration theory (P-FIT) of intelligence. Behav. Brain Sci. 30, 135–154. doi: https://doi.org/10.1017/S0140525X0700118X.
  • Just, M. A., Cherkassky, V. L., Keller, T. A., and Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain, 127(8), 1811-1821. doi: https://doi.org/10.1093/brain/awh199.
  • Lai, M. C., Lombardo, M. V., Ruigrok, A. N., Chakrabarti, B., Auyeung, B., Szatmari, P., ... and Baron-Cohen, S. (2017). Quantifying and exploring camouflaging in men and women with autism. Autism, 21(6), 713-728. https://doi.org/10.1177/1362361316671012.
  • Landauer, R. (1961). Irreversibility and heat generation in the computing process. IBM Journal of Research and Development, 5(3), 183-191. doi: https://doi.org/10.1147/rd.53.0183.
  • Laughlin, S. B., de Ruyter van Steveninck, R. R., and Anderson, J. C. (1998). The metabolic cost of neural information. Nature Neuroscience, 1(1), 36-41. https://doi.org/10.1038/236.
  • Mousain-Bosc, M., Roche, M., Polge, A., Blanc-Niquin, D., Rapin, J. R., and Bali, J. P. (2006). Improvement of neurobehavioral disorders in children supplemented with magnesium-vitamin B6. I. Attention deficit hyperactivity disorders. Magnesium Research, 19(1), 46-52. PMID: 16846100. Available at: https://pubmed.ncbi.nlm.nih.gov/16846100/.
  • Ooi, Y. P., Weng, S. J., Jang, L. Y., Low, L., Seah, J., Teo, S., ... and Fung, D. S. (2015). Omega-3 fatty acids in the management of autism spectrum disorders: findings from an openlabel pilot study in Singapore. European Journal of Clinical Nutrition, 69(8), 969-971. doi: https://doi.org/10.1038/ejcn.2015.28.
  • Pellicano, E., and Burr, D. (2012). When the world becomes 'too real': a Bayesian explanation of autistic perception. Trends in Cognitive Sciences, 16(10), 504-510. https://doi.org/10.1016/j.tics.2012.08.009.
  • Rossignol, D. A., and Frye, R. E. (2012). Mitochondrial dysfunction in autism spectrum disorders: a systematic review and meta-analysis. Molecular Psychiatry, 17(3), 290- 314. doi: https://doi.org/10.1038/mp.2010.136.
  • Rubenstein, J. L., and Merzenich, M. M. (2003). Model of autism: increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior, 2(5), 255-267. doi: https://doi.org/10.1034/j.1601-183X.2003.00037.x.
  • Shannon, C. E. (1948). A mathematical theory of communication. Bell Syst. Tech. J. 27, 379– 423. doi: https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.
  • Südhof, T. C. (2008). Neuroligins and neurexins link synaptic function to cognitive disease. Nature, 455(7215), 903-911. doi: https://doi.org/10.1038/nature07456.
  • Tononi, G., and Cirelli, C. (2014). Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration. Neuron, 81(1), 12-34. doi: https://doi.org/10.1016/j.neuron.2013.12.025.
  • Watts, D. J., and Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature, 393(6684), 440-442. https://doi.org/10.1038/30918.
  • Wilson, E. O. (1998). Consilience: The Unity of Knowledge. New York, NY: Knopf. ISBN: 978-0679450771.
  • Yizhar, O., Fenno, L. E., Prigge, M., Schneider, F., Davidson, T. J., O'Shea, D. J., ... and Deisseroth, K. (2011). Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature, 477(7363), 171-178. doi: https://doi.org/10.1038/nature10360.
  • Aman, M. G., McGough, J. J., McCracken, J. T., Arnold, L. E., Lindsay, R., Nash, P., Hollway, J., ..., and McMahon, D. Randomized, Controlled, Crossover Trial of Methylphenidate in Pervasive Developmental Disorders With Hyperactivity. Archives of General Psychiatry, 62(11), 1266-1274. https://doi.org/10.1001/archpsyc.62.11.1266.
  • Attwood, T. (2007). The Complete Guide to Asperger's Syndrome. London: Jessica Kingsley Publishers. ISBN: 978-1843106692.
  • Berg, J. M., Tymoczko, J. L., Gatto, G. J., & Stryer, L. (2015). Biochemistry (8th ed.). W. H. Freeman and Company. ISBN: 978-1464126109.
  • Correll, C. U., Manu, P., Olshanskiy, V., Napolitano, B., Kane, J. M., and Malhotra, A. K. (2009). Cardiometabolic risk of second-generation antipsychotic medications during first-time use in children and adolescents. JAMA, 302(16), 1765-1773. https://doi.org/10.1001/jama.2009.1549.
  • Crooks, G. E. (1999). Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. Physical Review E, 60(3), 2721-2726. doi: https://doi.org/10.1103/PhysRevE.60.2721.
  • Hull, L., Levy, L., Lai, M. C., Murphy, D. G., Baron-Cohen, S., Allison, C., Smith, P., and Mandy, W. (2021). Is social camouflaging associated with anxiety and depression in autistic adults?. Molecular Autism, 12(1), 1-13. https://doi.org/10.1186/s13229-021- 00421-1.
  • Jarzynski, C. (1997). Nonequilibrium equality for free energy differences. Physical Review Letters, 78(14), 2690-2693. doi: https://doi.org/10.1103/PhysRevLett.78.2690.
  • Lawson, R. P., Rees, G., and Friston, K. J. (2014). An aberrant precision account of autism. Frontiers in Human Neuroscience, 8, 302. https://doi.org/10.3389/fnhum.2014.00302.
  • McCracken, J. T., McGough, J., Shah, B., Cronin, P., Hong, D., Aman, M. G., Arnold, L. E., Lindsay, R., ... and McMahon, D. Risperidone in children with autism and serious behavioral problems. New England Journal of Medicine, 347(5), 314-321. https://doi.org/10.1056/NEJMoa013171.
  • Murray, D., Lawson, W., and Share, C. (2005). Attention, monotropism and the diagnostic criteria for autism. Autism, 9(2), 139-156. https://doi.org/10.1177/1362361305051398.
  • Rose, S., Melnyk, S., Pavliv, O., Bai, S., Nick, T. G., Frye, R. E., and James, S. J. (2012). Evidence of oxidative damage and inflammation associated with low glutathione redox status in the autism brain. Translational Psychiatry, 2(7), e134. https://doi.org/10.1038/tp.2012.61.
  • Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., and Wagemans, J. (2014). Precise minds in uncertain worlds: predictive coding in autism. Psychological Review, 121(4), 649-675. https://doi.org/10.1037/a0037665.
  • Fu X, Feng L, Jiang M and Li J (2026) Baseline omega-3 nutritional status and supplementation response in pediatric attention-deficit/hyperactivity disorder: a systematic review and biomarker-stratified meta-analysis. Front. Public Health 14:1844881. doi: https://doi.org/10.3389/fpubh.2026.1844881.
  • Öz, G.; DiNuzzo, M.; Kumar, A.; Moheet, A.; Seaquist, E. R. Revisiting glycogen content in the human brain. Neurochem. Res. 2015, 40, 2473–2481. doi: https://doi.org/10.1007/s11064-015-1664-4.