“Neuro-semeiotics” and “free-energy minimization” suggest a unified perspective for integrative brain actions: Focus on receptor heteromers and roamer type of volume transmission

Current Protein and Peptide Science

Volumn 15, Issue 7, 2014, Pages 703-718

  Agnati, Luigi F ^a,d   Guidolin, Diego ^b   Marcoli, Manuela ^c   Genedani, Susanna ^a   Borroto Escuela, Dasiel ^d   Maura, Guido ^c   Fuxe, Kjell ^d  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

^c UNIVERSITY OF GENOA   (Italy)

^d KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Exosomes; Receptor receptor interactions; Tinkering principle; Volume transmission

Indexed keywords

G PROTEIN COUPLED RECEPTOR; NEUROTRANSMITTER; OLIGOMER;

ALLOSTERISM; ARTICLE; BRAIN FUNCTION; CELL COMMUNICATION; COILED BODY; DRUG RECEPTOR BINDING; EXOSOME; FREE ENERGY MINIMIZATION; GOLGI COMPLEX; HISTOCHEMISTRY; HYPOTHESIS; INFORMATION PROCESSING; LEARNING; MEMORY; MOLECULAR BIOLOGY; MOLECULAR INTERACTION; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL PLASTICITY; NERVE CONDUCTION; NEUROSCIENCE; NEUROSEMEIOTICS; NEUROTRANSMISSION; PHENOTYPIC PLASTICITY; SIGNAL TRANSDUCTION; ANATOMY AND HISTOLOGY; ANIMAL; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; CYTOLOGY; HUMAN; METABOLISM; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY;

ANIMALS; BRAIN; CELL COMMUNICATION; COMPUTER SIMULATION; EXOSOMES; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; RECEPTORS, G-PROTEIN-COUPLED;

EID: 84925856677     PISSN: 13892037     EISSN: 18755550     Source Type: Journal    
DOI: 10.2174/1389203715666140901112725     Document Type: Article

References (103)

1. Roepstorff, A. Cellular Neurosemiotics: Outline of an interpretive framework. In: Studien zur Theorie der Biologie; Joachim Schult, Ed.; Verlag fur Wissenschaft und Bildung: Berlin, 2004; Vol. 6: Biosemiotik - Praktische Anwendung und Konsequenzen für die Einzeldisziplinen, pp. 133-154.
2. Friston, K.; Ao, P. Free Energy, Value, and Attractors. Comput. Math. Methods Med., 2012, 2012, 1-27.
3. Agnati, L.F.; Genedani, S.; Leo, G.; Rivera, A.; Guidolin, D.; Fuxe, K. One century of progress in neuroscience founded on Golgi and Cajal's outstanding experimental and theoretical contributions. Brain Res. Rev., 2007, 55(1), 167-189.
4. von Uexküll, J. Umwelt und Innenwelt der Tiere. Julius Springer: Berlin, 1909.
5. Agnati, L.F.; Guidolin, D.; Cortelli, P.; Genedani, S.; Cela-Conde, C.; Fuxe, K. Neuronal correlates to consciousness. The "Hall of Mirrors" metaphor describing consciousness as an epiphenomenon of multiple dynamic mosaics of cortical functional modules. Brain Res., 2012, 1476, 3-21.
6. Baars, B.J. Metaphors of consciousness and attention in the brain. Trends Neurosci., 1998, 21(2), 58-62.
7. Agnati, L.F.; Guidolin, D.; Guescini, M.; Genedani, S.; Fuxe, K. Understanding wiring and volume transmission. Brain Res. Rev., 2010, 64(1), 137-159.
8. Guidolin, D.; Albertin, G.; Guescini, M.; Fuxe, K.; Agnati, L.F. Central nervous system and computation. Q Rev., 2011, 86(4), 265-285.
9. von Uexküll, J. Theoretical Biology. Harcourt, Brace & Co.: New York, 1926.
10. Baslow, M.H. The languages of neurons: an analysis of coding mechanisms by which neurons communicate, learn and store information. Entropy, 2009, 11(4), 782-797.
11. Barbieri, M. The organic codes. An introduction to semantic biology. Cambridge University Press: Cambridge, UK, 2003.
12. Huxley, A. The Doors of Perception, Chatto and Windus: London, 1954.
13. Friston, K.; Thornton, C.; Clark, A. Free-energy minimization and the dark-room problem. Front. Psychol., 2012, 130, 1-7.
14. Barbieri, M. Origin and evolution of the brain. Biosemiotics, 2011, 4(3), 369-399.
15. Key, T.A.; Foutz, T.D.; Gurevich, V.V.; Sklar, L.A.; Prossnitz, E.R. N-formyl peptide receptor phosphorylation domains differentially regulate arrestin and agonist affinity. J. Biol. Chem., 2003, 278, 4041-4047.
16. Gainetdinov, R.R.; Premont, R.T.; Bohn, L.M.; Lefkowitz, R.J.; Caron, M.G. Desensitization of G protein–coupled receptors and neuronal functions. Ann. Rev. Neurosci., 2004, 27, 107-144.
17. Urban, J.D.; Clarke, W.P.; von Zastrow, M.; Nichols, D.E.; Kobilka, B.; Weinstein, H.; Javitch, J.A.; Roth, B.L.; Christopoulos, A.; Sexton, P.M.; Miller, K.J.; Spedding, M.; Mailman, R.B. Functional selectivity and classical concepts of quantitative pharmacology. J. Pharmacol. Exp. Ther., 2007, 320, 1-13.
18. Fuxe, K. Evidence for the existence of monoamine neurons in the central nervous system. IV. The distribution of monoamine terminals in the central nervous system. Acta Physiol. Scand., 1965, 64(Suppl 247), 37-85.
19. Fuxe, K.; Hokfelt, T.; Olson, L.; Ottoson, D.; Dahlstrom, A.; Bjorklund, A. Molecular Mechanisms of Neural Communication. Wenner-Gren International Series Vol 68; Pergamon Press, Elsevier: Oxford, 1996.
20. Fuxe, K.; Grillner, S.; Hokfelt, T.; Olson, L.; Agnati, L.F. Towards an Understanding of Integrative Brain Functions. Brain Research Reviews Vol. 26(3); Elsevier: Amsterdam, 1998.
21. Granholm, A.-C.; Schultzberg, M.; Skirboll, L. Chemical signaling in the nervous system in health and disease: Nils-Åke Hillarp’s legacy; Eds.; Prog. Neurobiol. Vol. 90(2), pp. 71-284; Elsevier: Amsterdam, 2010.
22. Agnati, L.F.; Guidolin, D.; Leo, G.; Guescini, M.; Pizzi, M.; Stocchi, V.; Spano, P.F.; Ghidoni, R.; Ciruela, F.; Genedani, S.; Fuxe, K. Possible new targets for GPCR modulation: allosteric interactions, plasma membrane domains, intercellular transfer and epigenetic mechanisms. J. Recept. Signal Transduct. Res., 2011, 31(5), 315-331.
23. Fuxe, K.; Agnati, L.F. Volume Transmission in the Brain: Novel Mechanisms for Neural Transmission. Advances in Neuroscience, Vol. 1; New York: Raven Press, 1991.
24. Agnati, L.F.; Fuxe, K.; Zoli, M.; Ozini, I.; Toffano, G.; Ferraguti, F. A correlation analysis of the regional distribution of central enkephalin and beta-endorphin immunoreactive terminals and of opiate receptors in adult and old male rats. Evidence for the existence of two main types of communication in the central nervous system: the volume transmission and the wiring transmission. Acta Physiol. Scand., 1986, 128, 201-207.
25. Agnati, L.F.; Fuxe, K. Volume transmission as a key feature of information handling in the central nervous system possible new interpretative value of the Turing’s B-type machine. Prog. Brain Res., 2000, 125, 3-19.
26. Fuxe, K.; Borroto-Escuela, D.O.; Romero-Fernandez, D.; Diaz- Cabiale, Z.; Rivera, A.; Ferraro, L; Tanganelli, S.; Tarakanov, A.O.; Garriga, P.; Narváez, J.A.; Ciruela, F.; Guescini, M.; Agnati, L.F. Extrasynaptic neurotransmission in the modulation of brain function. Focus on the striatal neuronal–glial networks. Front. Physiol., 2012, 3, 136.
27. Chivet, M.; Hemming, F.; Pernet-Gallay, K.; Fraboulet, S.; Sadoul R. Emerging role of neuronal exosomes in the central nervous system. Front. Physiol., 2012, 3, 145.
28. Corrado, C.; Raimondo S.; Chiesi A.; Ciccia F.; De Leo G.; Alessandro R. Exosomes as intercellular signaling organelles involved in health and disease: basic science and clinical applications. Int. J. Mol. Sci., 2013, 14, 5338-5366.
29. Guescini, M.; Leo, G.; Genedani, S.; Carone, C.; Pederzoli, F.; Ciruela, F.; Guidolin, D.; Stocchi, V.; Mantuano, M.; Borroto- Escuela, D.O.; Fuxe, K.; Agnati, L.F. Microvesicles and tunneling nanotube mediated intercellular transfer of G-protein coupled receptors in cell cultures. Exp. Cell Res., 2012, 318, 603-613.
30. Fodor, J. The language of thought. Thomas Crowell Co.: New York, 1975.
31. Fodor, J. The modularity of mind: An essay on faculty psychology. MIT: Cambridge, 1983.
32. Johnson-Laird, P.N. Mental models. Harvard University Press: Cambridge, 1983.
33. Hopfield, J.J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad Sci. U.S.A., 1982, 79, 2554-2558.
34. Rumelhart, D.E.; McClelland, J.L. Parallel distributed processing: Explorations in the microstructure of cognition. MIT: Cambridge, 1986.
35. Edelman, G.M. Neural darwinism. The theory of neuronal group selection. Oxford University Press: New York, 1989.
36. Holland, J.A. Adaptation in natural and artificial systems. MIT: Cambridge, 1992.
37. Churchland, P.S.; Sejnowski, T.J. The computational brain. MIT: Cambridge, 1993.
38. Crick, F. The astonishing hypothesis: The scientific search for the soul. Scribner: New York, 1994.
39. Agnati, L.F.; Guidolin D.; Battistin, L.; Pagnoni G.; Fuxe, K. The neurobiology of imagination: possible role of interaction-dominant dynamics and default mode network. Front. Psychol., 2013, 4, 296.
40. Morgan Lloyd, C. Emergent evolution. Williams and Norgate: London, 1923.
41. Searle, J.R. Minds, brains and programs. Behav. Brain Sci., 1980, 3, 417-457.
42. Searle, J.R. The rediscovery of the mind. MIT: Cambridge, 1992.
43. Searle, J.R. Consciousness and language. Cambridge University Press: Cambridge, 2002.
44. Wade, J.; McDaid, L.; Harkin, J.; Crunelli, V.; Kelso, S. Biophysically based computational models of astrocyte neuron coupling and their functional significance. Front. Computat. Neurosci. 2013, 7, 44.
45. Amiri, M.; Montaseri, G.; Bahramid, F. A phase plane analysis of neuron–astrocyte interactions. Neural Netw., 2013, 44, 157-165.
46. Pereira, A., Jr.; Furlan, F.A. Astrocytes and human cognition: modeling information integration and modulation of neuronal activity. Prog. Neurobiol., 2010, 92(3), 405-420.
47. Hameroff, S. The “conscious pilot”-dendritic synchrony moves through the brain to mediate consciousness. J. Biol. Phys., 2010, 36, 71-93.
48. Jacob, F. La logique du vivant. Une histoire de l’hérédité. Editions Gallimard: Paris, 1970.
49. Shepherd, G.M. The Synaptic Organization of the Brain. Oxford University Press: New York, 1979.
50. Golding, N.L.; Staff, N.P.; Spruston, N. Dendritic spikes as a mechanism for cooperative long-term potentiation. Nature, 2002, 418, 326-331.
51. Holtmaat, A.J.; Trachtenberg, J.T.; Wilbrecht, L.; Shepherd, G.M.; Zhang, X.; Knott, G.W.; Svoboda, K. Transient and persistent dendritic spines in the neocortex in vivo. Neuron, 2005, 45, 279-291.
52. Welzel, O.; Tischbirek, C.H.; Jung, J.; Kohler, E.M.; Svetlitchny, A.; Henkel, A.W.; Kornhuber, J.; Groemer, T.W. Synapse clusters are preferentially formed by synapses with large recycling pool sizes. PLoS One, 2010, 5(10), e13514.
53. Bushong, E.A.; Martone, M.E.; Ellisman, M.H. Maturation of astrocyte morphology and the establishment of astrocyte domains during postnatal hippocampal development. Int. J. Dev. Neurosci., 2004, 22, 73-86.
54. Verkhratsky, A.; Parpura, V.l.; Rodríguez, J.J. Where the thoughts dwell: The physiology of neuronal–glial “diffuse neural net”. Brain Res. Rev., 2011, S66, 133-151.
55. Hebb, D.O. The organization of behavior. Wiley & Sons: New York, 1949.
56. Anderson, M.L. Massive redeployment, exaptation, and the functional integration of cognitive operations. Synthese, 2007, 159, 329-345.
57. Agnati, L.F.; Fuxe, K.; Zini, I.; Lenzi, P.; Hökfelt, T. Aspects on receptor regulation and isoreceptor identification. Med. Biol., 1980, 58, 182-187.
58. Fuxe, K.; Agnati, L.F.; Benfenati, F.; Cimmino, M.; Algeri, S.; Hökfelt, T.; Mutt, V. Modulation by cholecystokinins of 3Hspiroperidol binding in rat striatum: evidence for increased affinity and reduction in the number of binding sites. Acta Physiol. Scand., 1981, 113, 567-569.
59. Fuxe, K.; Agnati, L.F.; Benfenati, F.; Celani M.; Zini, I.; Zoli, M.; Mutt, V. Evidence for the existence of receptor–receptor interactions in the central nervous system. Studies on the regulation of monoamine receptors by neuropeptides. J. Neural Transm. Supplementum 02/1983, 1983, 18, 165-179.
60. Agnati, L.F.; Fuxe, K.; Zoli, M.; Rondanini, C.; Ogren, S.O. New vistas on synaptic plasticity: the receptor mosaic hypothesis of the engram. Med. Biol., 1982, 60, 183-190.
61. Fuxe, K.; Agnati, L.F. Receptor-receptor interactions. A new intramembrane integrative mechanism. Wenner-Gren International Symposium Series Vol. 48. The MacMillan Press Ltd: London, 1987.
62. Agnati, L.F.; Leo, G.; Genedani, S.; Andreoli, N.; Marcellino, D.; Woods, A., Piron, L.; Guidolin, D.; Fuxe, K. Structural plasticity in G-protein coupled receptors as demonstrated by the allosteric actions of homocysteine and computer-assisted analysis of disordered domains. Brain Res. Rev., 2008, 58(2), 459-474.
63. Park, P.S.; Wells, J.W. Oligomeric potential of the M2 muscarinic cholinergic receptor. J. Neurochem., 2004, 90, 537-548.
64. Lopez-Gimenez, J.F.; Canals, M.; Pediani, J.D.; Milligan, G. The alpha1b-adrenoceptor exists as a higher-order oligomer: effective oligomerization is required for receptor maturation, surface delivery, and function. Mol. Pharmacol., 2007, 71, 1015-1029.
65. Philip, F.; Sengupta, P.; Scarlata, S. Signaling through a G Protein coupled receptor and its corresponding G protein follows a stoichiometrically limited model. J. Biol. Chem., 2007, 282, 19203-19216.
66. Brock, C.; Oueslati, N.; Soler, S.; Boudier, L.; Rondard, P.; Pin, J.P. Activation of a dimeric metabotropic glutamate receptor by intersubunit rearrangement. J. Biol. Chem., 2007, 282, 33000-33008.
67. Agnati, L.F.; Guidolin, D.; Vilardaga, J.P.; Ciruela, F.; Fuxe, K. On the expanding terminology in the GPCR field: The meaning of receptor mosaics and receptor heteromers. J. Recept. Signal Transduct. Res., 2010, 30(5), 287-303.
68. Pin, J.P.; Neubig, R.; Bouvier, M.; Devi, L.; Filizola, M.; Javitch, J.A.; Lohse, M.J.; Milligan, G.; Palczewski, K.; Parmentier, M.; Spedding, M. International Union of Basic and Clinical Pharmacology. LXVII. Recommendations for the Recognition and Nomenclature of G Protein-Coupled Receptor Heteromultimers. Pharmacol. Rev., 2007, 59, 5-13.
69. Agnati, L.F.; Guidolin, D.; Leo, G.; Carone, C.; Genedani, S.; Fuxe, K. Receptor-receptor interactions: A novel concept in brain integration. Prog. Neurobiol., 2010, 90, 157-175.
70. Anderson, M.L. Neural reuse: a fundamental organizational principle of the brain. Behav. Brain Sci., 2010, 33, 245-313.
71. Jacob, F. Evolution and tinkering. Science, 1977, 196, 1161-1166.
72. Agnati, L.F.; Guidolin, D.; Carone, C.; Dam, M.; Genedani, S.; Fuxe, K. Understanding neuronal molecular networks builds on neuronal cellular network architecture. Brain Res. Rev., 2008, 58(2), 379-399.
73. Anderson, M.L.; Richardson, M.J.; Chemero, A. Eroding the boundary of cognition: implications of embodiment (1). Top. Cogn. Sci., 2012, 4(4), 717-730.
74. Getting, P.A.; Denkin, M.S. Tritonia swimming: A model system for integration within rhythmic motor systems. In: Model neural networks and behaviour; Selverston, A.I., Ed.; Plenum Press: New York, 1985.
75. Pascual-Leone, A.; Amedi, A.; Fregni, F.; Merabet, L.B. The plastic human brain cortex. Annu. Rev. Neurosci., 2005, 28, 377-401.
76. Butz, M.; Wörgötter, F.; Van Ooyen, A. Activity-dependent structural plasticity. Brain Res. Rev., 2009, 60(2), 287-305.
77. Zheng, P.; Dimitrakakis, C.; Triesch, J. Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. PLoS Comput. Biol., 2013, 9(1), e1002848.
78. Sala, C.; Cambianica, I.; Rossi, F. Molecular mechanisms of dendritic spine development and maintenance. Acta Neurobiol. Exp. (Wars), 2008, 68(2), 289-304.
79. Leuner, B.; Shors, T.J. New spines, new memories. Mol. Neurobiol., 2004, 29, 117-130.
80. Kasai, H.; Matsuzaki, M.; Noguchi, J.; Yasumatsu, N.; Nakahara, H. Structure-stability-function relationships of dendritic spines. Trends Neurosci., 2003, 26(7), 360-368.
81. Popov, V.I.; Medvedev, N.I.; Kraev, I.V.; Gabbott, P.L.; Davies, H.A.; Lynch, M.; Cowley, T.R.; Berezin, V.; Bock, E.; Stewart, M.G. A cell adhesion molecule mimetic, FGL peptide, induces alterations in synapse and dendritic spine structure in the dentate gyrus of aged rats: a three-dimensional ultrastructural study. Eur. J. Neurosci., 2008, 27, 301-314.
82. Kraev, I.V.; Godukhin, O.V.; Patrushev, I.V.; Davies, H.A.; Popov, V.I.; Stewart, M.G. Partial kindling induces neurogenesis, activates astrocytes and alters synaptic morphology in the dentate gyrus of freely moving adult rats. Neuroscience, 2009, 162, 254-267.
83. Rind, H.B.; Butowt, R.; von Bartheld, C.S. Synaptic targeting of retrogradely transported trophic factors in motoneurons: comparison of glial cell line-derived neurotrophic factor, brain-derived neurotrophic factor, and cardiotrophin-1 with tetanus toxin. J. Neurosci., 2005, 25, 539-549.
84. Von Bartheld, C.S.; Altick, A.L. Multivesicular bodies in neurons: distribution, protein content, and trafficking functions. Prog. Neurobiol., 2011, 93, 313-340.
85. Lu J.; Helton, T.D.; Blanpied, T.A.; Racz, B.; Newpher, T.M.; Weinberg, R.J.; Ehlers, M.D. Postsynaptic positioning of endocytic zones and AMPA receptor cycling by physical coupling of dynamin- 3 to Homer. Neuron, 2007, 55, 874-889.
86. Friston, K. The free-energy principle: a unified brain theory? Nat. Rev. Neurosci., 2010, 11, 127-138.
87. Pereira, A.; Furlan, F.A. On the role of synchrony for neuron– astrocyte interactions and perceptual conscious processing. J. Biol. Phys., 2009, 35, 465-480.
88. Agnati, L.F.; Cortelli, P.; Biagini, G.; Bjelke, B.; Fuxe, K. Different classes of volume transmission signals exist in the central nervous system, and are affected by metabolic signals, temperature gradients, and pressure waves. Neuroreport, 1994, 6(1), 9-12.
89. Agnati, L.F.; Leo, G.; Zanardi, A.; Genedani, S.; Rivera, A.; Fuxe, K.; Guidolin, D. Volume transmission and wiring transmission from cellular to molecular networks: history and perspectives. Acta Physiol. (Oxf). 2006, 187(1-2), 329-344.
90. Mansilla, V.B.; Gardner, H. Assessing Interdisciplinary Work at the Frontier: An Empirical Exploration of “Symptoms of Quality”. Interdisciplinary Studies Project; Project Zero, Harvard Graduate School of Education, 2003.
91. Agnati, L.F.; Genedani, S.; Leo, G.; Rivera, A.; Guidolin, D.; Fuxe, K. One century of progress in neuroscience founded on Golgi and Cajal's outstanding experimental and theoretical contributions. Brain Res. Rev., 2007, 55(1), 167-189.
92. Rivera, A.; Agnati, L.F.; Horvath, T.L.; Valderrama, J.J.; de La Calle, A.; Fuxe, K. Uncoupling protein 2 ⁄ 3 immunoreactivity and the ascending dopaminergic and noradrenergic neuronal systems: Relevance for volume transmission. Neuroscience, 2006, 137, 1447-1461.
93. Sutherland, N.S. Outline of a theory of visual pattern recognition in animals and man. Proc. Royal Soc. London B, 1968, 171, 297-317.
94. Braham, R.; Hamblen, J.O. The design of a neural network with a biologically motivated architecture. IEEE Trans. Neural Netw., 1990, 1, 251-262.
95. Zeki, S. Neural concept formation and Art: Dante, Michelangelo, Wagner. In: Neurology of the Arts: Painting, Music, Literature; Rose, F.C., Ed.; Imperial College Press: London, 2004; pp. 13-42.
96. Blakemore, C. Mechanics of the Mind. Cambridge University press: Cambridge, 1976.
97. Kosko, B. Bidirectional associative memories. IEEE Trans. Syst. Man Cybern., 1988, 18, 49-60.
98. Carreira-Perpiñán, M.A.; Goodhill, G.J. Are visual cortex maps optimized for coverage? Neural Comput., 2002, 14, 1545-1560.
99. Heaton, J. Introduction to neural networks for Java. 2nd edition. Heaton Research: Chesterfield, MO, 2008.
100. Khanna, T. Foundations of Neural Networks. Addison-Wesley: Reading, MA, 1990.
101. Knoblauch, A. Structural plasticity, cortical memory, and the spacing effect. BMC Neurosci., 2009, 10(Suppl 1), O16.
102. Dahlstrom, A.; Fuxe, K. Evidence for the existence of monoamine containing neurons in the central nervous system. I. Demonstration of monamines in the cell bodies of brain stem neurons. Acta Physiol. Scand., 1964, 62(Suppl 232), 1-55.
103. Fuxe, K.; Agnati, L.F. Receptor-receptor interactions in the central nervous system. A new integrative mechanism in synapses. Med. Res. Rev., 1985, 5(4), 441-482.