Brain Networks Maintain a Scale-free Organization across Consciousness, Anesthesia, and Recovery Evidence for Adaptive Reconfiguration
Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization. Ten healthy male volunteers were anesthetized with an induction...
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Published in | Anesthesiology (Philadelphia) Vol. 113; no. 5; pp. 1081 - 1091 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Hagerstown, MD
Lippincott Williams & Wilkins
01.11.2010
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Online Access | Get full text |
ISSN | 0003-3022 1528-1175 1528-1175 |
DOI | 10.1097/ALN.0b013e3181f229b5 |
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Abstract | Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization.
Ten healthy male volunteers were anesthetized with an induction dose of propofol on two separate occasions. The duration of network connections in the brain was analyzed by multichannel electroencephalography and the minimum spanning tree method. Entropy of the connections was calculated based on Shannon entropy. The global temporal configuration of networks was investigated by constructing the cumulative distribution function of connection times in different frequency bands and different states of consciousness.
General anesthesia was associated with a significant reduction in the number of network connections, as well as significant alterations of their duration. These changes were most prominent in the δ bandwidth and were also associated with a significant reduction in entropy of the connection matrix. Despite these and other changes, a global "scale-free" organization was consistently preserved across multiple subjects, anesthetic exposures, states of consciousness, and electroencephalogram frequencies.
Our data suggest a fundamental principle of temporal organization of network connectivity that is maintained during consciousness and anesthesia, despite local changes. These findings are consistent with a process of adaptive reconfiguration during general anesthesia. |
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AbstractList | Background: Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization. Methods: Ten healthy male volunteers were anesthetized with an induction dose of propofol on two separate occasions. The duration of network connections in the brain was analyzed by multichannel electroencephalography and the minimum spanning tree method. Entropy of the connections was calculated based on Shannon entropy. The global temporal configuration of networks was investigated by constructing the cumulative distribution function of connection times in different frequency bands and different states of consciousness. Results: General anesthesia was associated with a significant reduction in the number of network connections, as well as significant alterations of their duration. These changes were most prominent in the delta bandwidth and were also associated with a significant reduction in entropy of the connection matrix. Despite these and other changes, a global "scale-free" organization was consistently preserved across multiple subjects, anesthetic exposures, states of consciousness, and electroencephalogram frequencies. Conclusions: Our data suggest a fundamental principle of temporal organization of network connectivity that is maintained during consciousness and anesthesia, despite local changes. These findings are consistent with a process of adaptive reconfiguration during general anesthesia. Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization.BACKGROUNDLoss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization.Ten healthy male volunteers were anesthetized with an induction dose of propofol on two separate occasions. The duration of network connections in the brain was analyzed by multichannel electroencephalography and the minimum spanning tree method. Entropy of the connections was calculated based on Shannon entropy. The global temporal configuration of networks was investigated by constructing the cumulative distribution function of connection times in different frequency bands and different states of consciousness.METHODSTen healthy male volunteers were anesthetized with an induction dose of propofol on two separate occasions. The duration of network connections in the brain was analyzed by multichannel electroencephalography and the minimum spanning tree method. Entropy of the connections was calculated based on Shannon entropy. The global temporal configuration of networks was investigated by constructing the cumulative distribution function of connection times in different frequency bands and different states of consciousness.General anesthesia was associated with a significant reduction in the number of network connections, as well as significant alterations of their duration. These changes were most prominent in the δ bandwidth and were also associated with a significant reduction in entropy of the connection matrix. Despite these and other changes, a global "scale-free" organization was consistently preserved across multiple subjects, anesthetic exposures, states of consciousness, and electroencephalogram frequencies.RESULTSGeneral anesthesia was associated with a significant reduction in the number of network connections, as well as significant alterations of their duration. These changes were most prominent in the δ bandwidth and were also associated with a significant reduction in entropy of the connection matrix. Despite these and other changes, a global "scale-free" organization was consistently preserved across multiple subjects, anesthetic exposures, states of consciousness, and electroencephalogram frequencies.Our data suggest a fundamental principle of temporal organization of network connectivity that is maintained during consciousness and anesthesia, despite local changes. These findings are consistent with a process of adaptive reconfiguration during general anesthesia.CONCLUSIONSOur data suggest a fundamental principle of temporal organization of network connectivity that is maintained during consciousness and anesthesia, despite local changes. These findings are consistent with a process of adaptive reconfiguration during general anesthesia. Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the spatial domain, there has been relatively little study of temporal organization. Ten healthy male volunteers were anesthetized with an induction dose of propofol on two separate occasions. The duration of network connections in the brain was analyzed by multichannel electroencephalography and the minimum spanning tree method. Entropy of the connections was calculated based on Shannon entropy. The global temporal configuration of networks was investigated by constructing the cumulative distribution function of connection times in different frequency bands and different states of consciousness. General anesthesia was associated with a significant reduction in the number of network connections, as well as significant alterations of their duration. These changes were most prominent in the δ bandwidth and were also associated with a significant reduction in entropy of the connection matrix. Despite these and other changes, a global "scale-free" organization was consistently preserved across multiple subjects, anesthetic exposures, states of consciousness, and electroencephalogram frequencies. Our data suggest a fundamental principle of temporal organization of network connectivity that is maintained during consciousness and anesthesia, despite local changes. These findings are consistent with a process of adaptive reconfiguration during general anesthesia. |
Author | Oh, GabJin Mashour, George A. Choi, ByungMoon Kim, Seunghwan Lee, UnCheol Noh, GyuJung |
Author_xml | – sequence: 1 givenname: UnCheol surname: Lee fullname: Lee, UnCheol organization: Postdoctoral Research Fellow, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan – sequence: 2 givenname: GabJin surname: Oh fullname: Oh, GabJin organization: Assistant Professor, Department of Management, Chosun University, Gwangju, Korea – sequence: 3 givenname: Seunghwan surname: Kim fullname: Kim, Seunghwan organization: Professor, Asia Pacific Center for Theoretical Physics & Nonlinear Complex Systems Laboratory, NCRS-SBD, Department of Physics, POSTECH, Pohang, Korea – sequence: 4 givenname: GyuJung surname: Noh fullname: Noh, GyuJung organization: Professor and Chair, Department of Clinical Pharmacology and Therapeutics, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea – sequence: 5 givenname: ByungMoon surname: Choi fullname: Choi, ByungMoon organization: Department of Anesthesiology and Pain Medicine, National Medical Center, Seoul, Korea – sequence: 6 givenname: George A. surname: Mashour fullname: Mashour, George A. organization: Assistant Professor of Anesthesiology and Neurosurgery, Director, Division of Neuroanesthesiology, Associate Director, Anesthesiology Residency Program, University of Michigan Medical School |
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Snippet | Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified in the... Background: Loss of consciousness is an essential feature of general anesthesia. Although alterations of neural networks during anesthesia have been identified... |
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SubjectTerms | Adaptation, Physiological - drug effects Adaptation, Physiological - physiology Adult Anesthesia Anesthesia Recovery Period Anesthesia, General - methods Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Biological and medical sciences Brain - drug effects Brain - physiology Consciousness - drug effects Consciousness - physiology Electroencephalography - drug effects Electroencephalography - methods Evidence-Based Medicine - methods Humans Male Medical sciences Nerve Net - drug effects Nerve Net - physiology Propofol - pharmacology Young Adult |
Subtitle | Evidence for Adaptive Reconfiguration |
Title | Brain Networks Maintain a Scale-free Organization across Consciousness, Anesthesia, and Recovery |
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