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      Restructuring consciousness –the psychedelic state in light of integrated information theory

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          Abstract

          The psychological state elicited by the classic psychedelics drugs, such as LSD and psilocybin, is one of the most fascinating and yet least understood states of consciousness. However, with the advent of modern functional neuroimaging techniques, the effect of these drugs on neural activity is now being revealed, although many of the varied phenomenological features of the psychedelic state remain challenging to explain. Integrated information theory (IIT) is one of the foremost contemporary theories of consciousness, providing a mathematical formalization of both the quantity and quality of conscious experience. This theory can be applied to all known states of consciousness, including the psychedelic state. Using the results of functional neuroimaging data on the psychedelic state, the effects of psychedelic drugs on both the level and structure of consciousness can be explained in terms of the conceptual framework of IIT. This new IIT-based model of the psychedelic state provides an explanation for many of its phenomenological features, including unconstrained cognition, alterations in the structure and meaning of concepts and a sense of expanded awareness. This model also suggests that whilst cognitive flexibility, creativity, and imagination are enhanced during the psychedelic state, this occurs at the expense of cause-effect information, as well as degrading the brain's ability to organize, categorize, and differentiate the constituents of conscious experience. Furthermore, the model generates specific predictions that can be tested using a combination of functional imaging techniques, as has been applied to the study of levels of consciousness during anesthesia and following brain injury.

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          Most cited references45

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          Rhythms of the Brain

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            Breakdown of cortical effective connectivity during sleep.

            When we fall asleep, consciousness fades yet the brain remains active. Why is this so? To investigate whether changes in cortical information transmission play a role, we used transcranial magnetic stimulation together with high-density electroencephalography and asked how the activation of one cortical area (the premotor area) is transmitted to the rest of the brain. During quiet wakefulness, an initial response (approximately 15 milliseconds) at the stimulation site was followed by a sequence of waves that moved to connected cortical areas several centimeters away. During non-rapid eye movement sleep, the initial response was stronger but was rapidly extinguished and did not propagate beyond the stimulation site. Thus, the fading of consciousness during certain stages of sleep may be related to a breakdown in cortical effective connectivity.
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              Antidepressant effects of ketamine in depressed patients.

              A growing body of preclinical research suggests that brain glutamate systems may be involved in the pathophysiology of major depression and the mechanism of action of antidepressants. This is the first placebo-controlled, double-blinded trial to assess the treatment effects of a single dose of an N-methyl-D-aspartate (NMDA) receptor antagonist in patients with depression. Seven subjects with major depression completed 2 test days that involved intravenous treatment with ketamine hydrochloride (.5 mg/kg) or saline solutions under randomized, double-blind conditions. Subjects with depression evidenced significant improvement in depressive symptoms within 72 hours after ketamine but not placebo infusion (i.e., mean 25-item Hamilton Depression Rating Scale scores decreased by 14 +/- SD 10 points vs. 0 +/- 12 points, respectively during active and sham treatment). These results suggest a potential role for NMDA receptor-modulating drugs in the treatment of depression.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                12 June 2015
                2015
                : 9
                : 346
                Affiliations
                Computational Neuroscience Unit, Okinawa Institute of Science and Technology Graduate University Okinawa, Japan
                Author notes

                Edited by: Hauke R. Heekeren, Freie Universität Berlin, Germany

                Reviewed by: Robin Carhart-Harris, Imperial College London, UK; Tom Froese, Universidad Nacional Autónoma de México, Mexico

                *Correspondence: Andrew R. Gallimore, Computational Neuroscience Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Okinawa 904-0495, Japan gallimore@ 123456cantab.net
                Article
                10.3389/fnhum.2015.00346
                4464176
                26124719
                0649e2aa-5a12-44ec-9b2c-7a92aefa30ee
                Copyright © 2015 Gallimore.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 January 2015
                : 29 May 2015
                Page count
                Figures: 9, Tables: 1, Equations: 15, References: 61, Pages: 16, Words: 11208
                Funding
                Funded by: Computational Neuroscience Unit of the Okinawa Institute of Science and Technology Graduate University.
                Categories
                Neuroscience
                Hypothesis and Theory

                Neurosciences
                integrated information theory,psychedelic state,psilocybin,ketamine,lsd,neural complexity,integration,neural entropy

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