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      High-voltage, diffuse delta rhythms coincide with wakeful consciousness and complexity in Angelman syndrome

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          Abstract

          Abundant evidence from slow wave sleep, anesthesia, coma, and epileptic seizures links high-voltage, slow electroencephalogram (EEG) activity to loss of consciousness. This well-established correlation is challenged by the observation that children with Angelman syndrome (AS), while fully awake and displaying volitional behavior, display a hypersynchronous delta (1–4 Hz) frequency EEG phenotype typical of unconsciousness. Because the trough of the delta oscillation is associated with down-states in which cortical neurons are silenced, the presence of volitional behavior and wakefulness in AS amidst diffuse delta rhythms presents a paradox. Moreover, high-voltage, slow EEG activity is generally assumed to lack complexity, yet many theories view functional brain complexity as necessary for consciousness. Here, we use abnormal cortical dynamics in AS to assess whether EEG complexity may scale with the relative level of consciousness despite a background of hypersynchronous delta activity. As characterized by multiscale metrics, EEGs from 35 children with AS feature significantly greater complexity during wakefulness compared with sleep, even when comparing the most pathological segments of wakeful EEG to the segments of sleep EEG least likely to contain conscious mentation and when factoring out delta power differences across states. These findings (i) warn against reverse inferring an absence of consciousness solely on the basis of high-amplitude EEG delta oscillations, (ii) corroborate rare observations of preserved consciousness under hypersynchronization in other conditions, (iii) identify biomarkers of consciousness that have been validated under conditions of abnormal cortical dynamics, and (iv) lend credence to theories linking consciousness with complexity.

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          Most cited references85

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          On the Complexity of Finite Sequences

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            Multiscale entropy analysis of complex physiologic time series.

            There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.
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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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                Author and article information

                Journal
                Neurosci Conscious
                Neurosci Conscious
                nconsc
                Neuroscience of Consciousness
                Oxford University Press
                2057-2107
                2020
                14 June 2020
                14 June 2020
                : 2020
                : 1
                : niaa005
                Affiliations
                [n1 ] Department of Psychology, University of California Los Angeles , 3423 Franz Hall, Los Angeles, CA, USA
                [n2 ] Department of Pediatrics, University of California , San Diego, CA, USA
                [n3 ] Division of Genetics/Dysmorphology, Rady Children’s Hospital San Diego , San Diego, CA, USA
                [n4 ] Roche Pharma Research and Early Development, Roche Innovation Center Basel , Basel, Switzerland
                [n5 ] Department of Neurosurgery, UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles , Los Angeles, CA, USA
                Author notes
                Correspondence address. Department of Psychology, University of California Los Angeles, 3423 Franz Hall, Los Angeles, CA, USA. E-mail: joelfrohlich@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-8382-4344
                Article
                niaa005
                10.1093/nc/niaa005
                7293820
                32551137
                37e3c7ac-58c1-406a-aca9-839d53f3dd9b
                © The Author(s) 2020. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 September 2019
                : 24 February 2020
                : 9 March 2020
                Page count
                Pages: 15
                Categories
                Research Article

                disorders of consciousness,neurology,sleep and dreaming,states of consciousness,theories and models

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