Complexity of multi-dimensional spontaneous EEG decreases during propofol induced general anaesthesia

PLoS ONE

Volumn 10, Issue 8, 2015, Pages

  Schartner, Michael ^a   Seth, Anil ^a   Noirhomme, Quentin ^b   Boly, Melanie ^c   Bruno, Marie Aurelie ^b   Laureys, Steven ^b   Barrett, Adam ^a,d  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^d UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

PROPOFOL;

AMPLITUDE COALITION ENTROPY; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; DATA ANALYSIS; ELECTROENCEPHALOGRAPHY; GENERAL ANESTHESIA; HUMAN; INTERMETHOD COMPARISON; LEMPEL ZIV COMPLEXITY; MATHEMATICAL MODEL; STATISTICAL ANALYSIS; STEADY STATE; SYNCHRONY COALITION ENTROPY; AREA UNDER THE CURVE; COMPUTER SIMULATION; ELECTRODE; ENTROPY; PHYSIOLOGY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; THEORETICAL MODEL; TIME FACTOR;

ANESTHESIA, GENERAL; AREA UNDER CURVE; CEREBRAL CORTEX; COMPUTER SIMULATION; ELECTRODES; ELECTROENCEPHALOGRAPHY; ENTROPY; HUMANS; MODELS, THEORETICAL; PROPOFOL; ROC CURVE; TIME FACTORS;

EID: 84941922351     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0133532     Document Type: Article

References (57)

1. Baars B (1988) A cognitive theory of consciousness. Cambridge University Press, New York.
2. Tononi G, Sporns O, Edelman G (1994) A measure for brain complexity: Relating functional segregation and integration in the nervous system. Proc. Natl. Acad. Sci. USA. 91, 5033-5037. doi: 10.1073/pnas.91.11.5033 PMID: 8197179
3. Tononi G, Edelman G (1998) Consciousness and complexity. Science 282, 1846-1851. doi: 10.1126/science.282.5395.1846 PMID: 9836628
4. Tononi G (2004) An information integration theory of consciousness. BMC Neurosci. 5, 42. doi: 10.1186/1471-2202-5-42 PMID: 15522121
5. Edelman G (2003) Naturalizing consciousness: A theoretical framework. Proc Natl Acad Sci USA.
6. Laureys S (2005) The neural correlate of (un)awareness: Lessons from the vegetative state. Trends Cogn. Sci. 9, 556-559. doi: 10.1016/j.tics.2005.10.010 PMID: 16271507
7. Fingelkurts A, Fingelkurts A, Bagnato S, et al. (2013) Dissociation of vegetative and minimally conscious patients based on brain operational architectonics: factor of etiology. Clin EEG Neurosci. 44:209-220. doi: 10.1177/1550059412474929 PMID: 23666956
8. Tononi G, Sporns O (2003) Measuring information integration. BMC Neurosci 4: 31. doi: 10.1186/1471-2202-4-31 PMID: 14641936
9. Seth A (2005) Causal connectivity of evolved neural networks during behavior. Network Comput Neural Sys 16:35-54. doi: 10.1080/09548980500238756
10. Seth A, Izhikevich E, Reeke G, Edelman G (2006) Theories and measures of consciousness: An extended framework. Proc Natl Acad Sci USA 103. doi: 10.1073/pnas.0604347103
11. Balduzzi D, Tononi G (2008) Integrated information in discrete dynamical systems: Motivation and theoretical framework. PLoS Comput Biol 4(6): e1000091. doi: 10.1371/journal.pcbi.1000091 PMID: 18551165
12. Barrett A, Barnett L, Seth A (2010) Multivariate Granger causality and generalized variance. Phys Rev E 81: 041907. doi: 10.1103/PhysRevE.81.041907
13. Seth A, Barrett A, Barnett L (2011) Causal density and integrated information as measures of conscious level. Philos. Trans. A Math. Phys. Eng. Sci. 369, 3748-3767. doi: 10.1098/rsta.2011.0079 PMID: 21893526
14. Oizumi M, Albantakis L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLoS Comput Biol 10(5): e1003588. doi: 10.1371/journal.pcbi.1003588 PMID: 24811198
15. Edlund J, Chaumont N, Hintze A, et al. (2011) Integrated Information Increases with Fitness in the Evolution of Animats. PLoS Comput Biol 7(10): e1002236. doi: 10.1371/journal.pcbi.1002236 PMID: 22028639
16. Barrett A, Murphy M, Bruno M, et al. (2012) Granger causality analysis of steady-state electroencephalographic signals during propofol-induced anaesthesia. PLoS ONE, 7(1): e29072. doi: 10.1371/journal.pone.0029072 PMID: 22242156
17. Chang J, Pigorini A, Massimini M, et al. (2012) Multivariate autoregressive models with exogenous inputs for intracerebral responses to direct electrical stimulation of the human brain. Front. Hum. Neurosci..
18. Massimini M, Ferrarelli F, Huber R, et al (2005) Breakdown of cortical effective connectivity during sleep, Science, 309, pp. 22. doi: 10.1126/science.1117256
19. Ferrarelli F, Massimini M, Sarasso S, et al. (2010) Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness. PNAS 2010 107 (6) 2681-2686. doi: 10.1073/pnas.0913008107 PMID: 20133802
20. Rosanova M, Gosseries O, Casarotto S, et al. (2012) Recovery of cortical effective connectivity and recovery of consciousness in vegetative patients. Brain 135, 1308-1320. doi: 10.1093/brain/awr340 PMID: 22226806
21. Casali A, Gosseries O, Rosanova M, et al. (2013) A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior. Sci. Transl. Med. 5, 198ra105. doi: 10.1126/scitranslmed.3006294 PMID: 23946194
22. Sarasso S, Rosanova M, Casali A, et al. (2014) Quantifying Cortical EEG Responses to TMS in (Un) consciousness. Clinical EEG and Neuroscience, January 2014 vol. 45 no. 1 40-49. doi: 10.1177/1550059413513723 PMID: 24403317
23. Lempel A, Ziv J (1976) On the complexity of finite sequences. IEEE Trans. Inform. Theory 22, 75-81. doi: 10.1109/TIT.1976.1055501
24. Ferenets R, Vonluchene A, Lippig T, et al. (2007) Behavior of Entropy/Complexity Measures of the Electroencephalogram during Propofol-induced Sedation: Dose-dependent Effects of Remifentanil. http://lib.ugent.be/catalog/pug01:391118
25. Viertio-Oja H, Maja V, Sarkela M, et al. (2004) Description of the entropy(TM) algorithm as applied in the datex-ohmeda S/5TM entropy module. Acta Anaesthesiol Scand 48:154-61. doi: 10.1111/j.0001-5172.2004.00322.x PMID: 14995936
26. Kaskinoro K, Maksimow A, Langsjo J, et al. (2011) Wide inter-individual variability of bispectral index and spectral entropy at loss of consciousness during increasing concentrations of dexmedetomidine, propofol, and sevoflurane. Br. J. Anaesth. doi: 10.1093/bja/aer196 PMID: 21733891
27. Bruhn J, Ropcke H, Hoeft A (2000) Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia. Anesthesiology 92: 715-26. doi: 10.1097/00000542-200003000-00016 PMID: 10719951
28. Bruhn J, Ropcke H, Rehberg B, Bouillon T, Hoeft A (2000) Electroencephalogram approximate entropy correctly classifies the occurrence of burst suppression pattern as increasing anesthetic drug effect. Anesthesiology 93:981-5. doi: 10.1097/00000542-200010000-00018 PMID: 11020750
29. Sara M, Pistoia F (2010) Complexity loss in physiological time series of patients in a vegetative state. Nonlinear Dynamics Psychol Life Sci; 14:1-13. PMID: 20021774
30. Zhang X, Rob R, et al. (2001) EEG complexity as a measure of depth of anesthesia for patients. Biomedical Engineering, IEEE Transactions vol. 48, no.12, pp.1424,1433. doi: 10.1109/10.966601
31. Bandt C, Pompe B, (2002) Permutation entropy: a natural complexity measure for time series. Phys. Rev. Lett. 88, 174102-1. doi: 10.1103/PhysRevLett.88.174102 PMID: 12005759
32. Burioka N, Miyata M, Cornelissen G, et al. (2005) Approximate entropy in the electroencephalogram during wake and sleep. Clin EEG Neurosci 36:21-4. doi: 10.1177/155005940503600106 PMID: 15683194
33. Gosseries O, Schnakers C, Ledoux D, et al. (2011) Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state. Functional Neurology 26(1): 25-30. PMID: 21693085
34. Jordan D, Stockmanns G, Kochs E et al (2008) Electroencephalographic order pattern analysis for the separation of consciousness and unconsciousness: An analysis of approximate entropy, permutation entropy, recurrence rate, and phase coupling of order recurrence plots. Anesthesiology 109:1014-22. doi: 10.1097/ALN.0b013e31818d6c55 PMID: 19034098
35. Wu D, Cai G, Yuan Y, et al. (2011) Application of nonlinear dynamics analysis in assessing unconsciousness: A preliminary study, Clinical Neurophysiology, Volume122, Issue3, Pages490-498, ISSN 1388-2457, doi: 10.1016/j.clinph.2010.05.036 PMID: 20719560
36. Sitt J, King J, et al. (2014) Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state. Brain 2014; 137(pt 8):2258-2270. doi: 10.1093/brain/awu141 PMID: 24919971
37. Shanahan M (2010) Metastable chimera states in community-structured oscillator networks. Chaos, Vol: 20, ISSN:1054-1500. doi: 10.1063/1.3305451 PMID: 20370263
38. Murphy M, Bruno M, Riedner B, et al. (2011) Propofol anesthesia and sleep: a high-density EEG study. Sleep 34:283-291A. PMID: 21358845
39. Steriade M, McCormick D, Sejnowski T (1993) Thalamocortical oscillations in the sleeping and aroused brain. Science. 262:679-85. doi: 10.1126/science.8235588 PMID: 8235588
40. Electrical Geodesics, Inc.500 East 4th Ave. Suite 200, Eugene, OR 97401, USA, www.egi.com
41. Lewis L, Weiner V, Mukamel E, et al. (2012) Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness. Proc. Natl. Acad. of Sci. Plus, 109(49):E3377-86. doi: 10.1073/pnas.1210907109
42. Ramsay M, Savege T, Simpson B, Goodwin R (1974) Controlled sedation with alphaxalonealphadolone. Br Med J 2: 656-9. doi: 10.1136/bmj.2.5920.656 PMID: 4835444
43. Cohen M (2014) Analyzing Neural Time Series Data. ISBN: 9780262019873.
44. Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 134(1):9-21. doi: 10.1016/j.jneumeth.2003.10.009 PMID: 15102499
45. de Hoon M, Imoto S, Nolan J, Miyano S (2004) Open Source Clustering Software. Bioinformatics, 20 (9): 1453-1454. doi: 10.1093/bioinformatics/bth078 PMID: 14871861
46. Sullivan G M, Feinn R (2012) Using Effect Size-or Why the P Value Is Not Enough. Journal of Graduate Medical Education, 4(3), 279-282. doi: 10.4300/JGME-D-12-00156.1 PMID: 23997866
47. http://rosettacode.org/wiki/LZW-compression#Python
48. Wildie M, Shanahan M (2012) Metastability and Chimera States in Modular Delay and Pulse-coupled Oscillator Networks. Chaos, vol. 22, 043131. doi: 10.1063/1.4766592 PMID: 23278066
49. Botcharova M, Farmer S, Berthouze L (2014) Markers of criticality in phase synchronization. Front. Syst. Neurosci. 8:176. doi: 10.3389/fnsys.2014.00176 PMID: 25309353
50. Hopley L, van Schalkwyk J, http://www.anaesthetist.com/mnm/stats/roc/Findex.htm Accessed 11 December 2014.
51. Carhart-Harris R, Leech R, Hellyer P, et al. (2014) The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs. Front. Hum. Neurosci. 8:20. doi: 10.3389/fnhum.2014.00020 PMID: 24550805
52. Pincus S (1991) Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Sciences of the United States of America 88(6):2297-2301. doi: 10.1073/pnas.88.6.2297 PMID: 11607165
53. Guillery R, Sherman S (2002) Thalamic relay functions and their role in corticocortical communication: generalizations from the visual system. Neuron. 33(2):163-75. doi: 10.1016/S0896-6273(01)00582-7 PMID: 11804565
54. King JR, Sitt JD, Faugeras F, et al. Information sharing in the brain indexes consciousness in noncommunicative patients. Curr Biol. 2013; 23:1914-1919. doi: 10.1016/j.cub.2013.07.075 PMID: 24076243
55. Chennu S, Finoia P, Kamau E, et al. (2014) Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness. PLoS Comput Biol 10(10): e1003887. doi: 10.1371/journal.pcbi.1003887 PMID: 25329398
56. Crick F, Koch C ( 1990) Towards a neurobiological theory of consciousness. Seminars in Neuroscience Vol 2, 263-275.
57. Seth A (2009) Explanatory correlates of consciousness: Theoretical and computational challenges. Cognitive Computation. 1(1):50-63. doi: 10.1007/s12559-009-9007-x