Physical and Physiological Mechanisms of Consciousness and General Anesthesia (Review)

• Published in: Technical physics Vol. 63; no. 10; pp. 1397 - 1409
• Main Authors: Lebedinskii, K. M., Kovalenko, A. N.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.10.2018; Springer; Springer Nature B.V
• Subjects: Analysis; Anesthesia; Artificial neural networks; Brain; Central nervous system; Cerebral cortex; Classical and Continuum Physics; Consciousness; Data analysis; Information management; Narcosis; Neural networks; Pain; Pain sensitivity; Pharmacology; Physical Approaches and Problems of Data Interpretation in the Life Sciences; Physics; Physics and Astronomy; Signal monitoring; Informational Richness; Total Electrical Activity; Topical Diagnostics; Anesthesia Depth; Magnetic Entropy
• ISSN: 1063-7842; 1090-6525
• DOI: 10.1134/S106378421810016X

General anesthesia (narcosis) is an induced, reversible inhibition of the central nervous system (CNS) with suppression of pain sensitivity, consciousness, motor, and vegetative activity during surgeries. The existing pharmacological theories provide no exhaustive explanation of the consciousness suppression mechanism, although mechanisms of other narcosis effects are well studied. The reason lies in the radical difference of the vertical construction scheme of CNS conduction pathways for organization of most of its perceptual and executive functions from the organization structures of the brain, which must be associated with processes of consciousness in information analysis and control command synthesis as a key synergetic factor of a self-organizing system. This makes it possible not only to explain the matter of phenomena of anesthesia through changing functional dynamic orderliness in the neural networks of the cerebral cortex, but also to control anesthesia depth and a patient’s condition in general with methods of self-organization analysis by informational richness of their regulation signals, monitoring fractal dimension trend of an entropy attractor generated at the same time.