Abstract
A novel methodology of quantitative estimation of the information value in microvascular networks is proposed. The methodology has been developed on the basis of the results of wavelet analysis of skin blood flow oscillations measured by means of laser Doppler flowmetry (LDF) in 30 healthy subjects and 56 patients with hand diseases or consequences of hand injuries. The method is based on the calculation of the relative indices of information preservation, dominance of the preserved information, and information effectiveness. The deviation from the multistable information regimen is the largest in the case of resonance oscillations: the total information quantity is significantly decreased; however, the preservation of dominant information and its effectiveness are improved. The preservation of trophic myogenic information predominates upon reduction of sympathetic influences. An increase in the number of information channels increases only the information quantity, whereas the degree of its preservation varies. Sensory peptidergic nerve fibers are activated in response to local heating of the dorsal forearm skin to 34°C. This information is the most effective at the beginning of the heating, when the blood flow increases to a plateau. The blood flow oscillations represented in the wavelet spectrum of microcirculatory oscillations serve as operators based on effective information. These oscillations not only play the hemodynamic role, but also carry information in microvascular networks.
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References
Chernavskii, D.S., Sinergetika i informatsiya: Dinamicheskaya teoriya informatsii (Synergetics and Information: The Dynamic Theory of Information), Moscow: Librokom, 2009, 3d edition.
Katerndahl, D.A., Lessons from Jurassic Park: Patients as Complex Adaptive Systems, J. Eval. Clin. Pract., 2009, vol. 15, no. 4, p. 755.
Krupatkin, A.I., Oscillatory Structures of Blood Flow Reflect the Dynamics of Information Processes in Microcirculatory Networks, Fiziol. Chel., 2010, vol. 36, no. 2, p. 101 [Human Physiol. (Engl. Transl.), vol. 36, no. 2, p. 211].
Korogodin, V.I. and Korogodina, V.L., Informatsiya kak osnova zhizni (Information as the Basis of Life), Dubna: Feniks, 2000.
Lazernaya dopplerovskaya floumetriya mikrotsirkulyatsii krovi. Rukovodstvo dlya vrachei (Laser Doppler Flowmetry of Blood Microcirculation: Manual for Practitioners), Krupatkin, A.I. and Sidorov, V.V., Eds., Moscow: Meditsina, 2005.
Kvandal, P., Stefanovska, A., Veber, M., Kvernmo, H.D., and Kirkeboen, K.A., Regulation of Human Cutaneous Circulation Evaluated by Laser Doppler Flowmetry, Iontophoresis and Spectral Analysis: Importance of Nitric Oxide and Prostaglandines, Microvasc. Res., 2003, vol. 65, p. 160.
Kastrup, J., Buhlow, J., and Lassen, N.A., Vasomotion in Human Skin before and after Local Heating Recorded with Laser Doppler Flowmetry. A Method for Induction of Vasomotion, Int. J. Microcirc. Clin. Exp., 1989, vol. 8, p. 205.
Krupatkin, A.I., The Influence of the Sympathetic Innervation on the Skin Microvascular Tone and Blood Flow Oscillations, Fiziol. Chel., 2006, vol. 32, no. 5, p. 95 [Human Physiol. (Engl. Transl.), vol. 32, no. 5, p. 584].
Krupatkin, A.I., Influence of Sensory Peptidergic Innervation on Human Skin Blood Flow Oscillations in the Range 0.047–0.069 Hz, Fiziol. Chel., 2007, vol. 33, no. 3, p. 48 [Human Physiol. (Engl. Transl.), vol. 33, no. 3, p. 296].
Krupatkin, A.I., Blood Flow Oscillations at a Frequency of about 0.1 Hz in Skin Microvessels Do Not Reflect the Sympathetic Regulation of Their Tone, Fiziol. Chel., 2009, vol. 35, no. 2, p. 60 [Human Physiol. (Engl. Transl.), vol. 35, no. 2, p. 183].
Silverman, D.G. and Stout, R.G., Distinction between Atropin-Sensitive Control of Microvascular and Cardiac Oscillatory Activity, Microvasc. Res., 2002, vol. 63, p. 196.
Krupatkin, A.I., Cardiac and Respiratory Oscillations of the Blood Flow in Microvessels of the Human Skin, Fiziol. Chel., 2008, vol. 34, no. 3, p. 70 [Human Physiol. (Engl. Transl.), vol. 34, no. 3, p. 323].
Kirilina, T.V., Krasnikov, G.V., Tankanag, A.V., Piskunova, G.M., and Chemeris, N.K., Respiration-Dependent Blood Flow Oscillations in the Microcirculatory System of the Human Skin, Reg. Krovoobr. Mikrotsirk., 2009, no. 2, p. 58.
Kellogg, D.L., Jr., In vivo Mechanisms of Cutaneous Vasodilation and Vasoconstriction in Humans during Thermoregulatory Challenges, J. Appl. Physiol., 2006, vol. 100, p. 1709.
Kellogg, D.L., Jr., Zhao, J.L., and Wu, Y., Roles of Nitric Oxide Synthase Isoforms in Cutaneous Vasodilation Induced by Local Warming of the Skin and Whole Body Heat Stress in Humans, J. Appl. Physiol., 2009, vol. 107, p. 1438.
Timofeev, A.B., Timofeev, G.A., Faustova, E.E., and Fedorova, V.N., Mekhanicheskie kolebaniya i rezonansy v organizme cheloveka (Mechanical Oscillations and Resonances in the Human Body), Moscow: Fizmatlit, 2009.
Krupatkin, A.I., The Use of Information Process Indices for the Prediction of Sympathectomy Efficiency in Complex Regional Pain Syndrome, Fiziol. Chel., 2010, vol. 36, no. 5, p. 95 [Human Physiol. (Engl. Transl.), vol. 36, no. 5, p. 576].
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Original Russian Text © A.I. Krupatkin, 2011, published in Fiziologiya Cheloveka, 2011, Vol. 37, No. 3, pp. 50–56.
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Krupatkin, A.I. The problem of information value in microvascular networks. Hum Physiol 37, 312–317 (2011). https://doi.org/10.1134/S0362119711030054
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DOI: https://doi.org/10.1134/S0362119711030054