Granger causality analysis of steady-state electroencephalographic signals during propofol-induced anaesthesia

PLoS ONE

Volumn 7, Issue 1, 2012, Pages

  Barrett, Adam B ^a   Murphy, Michael ^b   Bruno, Marie Aurélie ^c   Noirhomme, Quentin ^c   Boly, Mélanie ^b,c   Laureys, Steven ^c   Seth, Anil K ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

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

^c UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

PROPOFOL;

ALPHA RHYTHM; ANESTHESIA; ANTERIOR CINGULATE; ARTICLE; BETA RHYTHM; CONSCIOUSNESS; CONSCIOUSNESS LEVEL; DATA ANALYSIS; DELTA RHYTHM; ELECTROENCEPHALOGRAM; GAMMA RHYTHM; GRANGER CAUSALITY; HUMAN; LOSS OF CONSCIOUSNESS; METHODOLOGY; POSTERIOR CINGULATE; POWER SPECTRUM; PREDICTION; SIMULATION; STEADY STATE; THETA RHYTHM; TIME SERIES ANALYSIS; CINGULATE GYRUS; COMPUTER SIMULATION; CORTICAL SYNCHRONIZATION; DRUG EFFECT; ELECTROENCEPHALOGRAPHY; INSTRUMENTATION; PHYSIOLOGY; SIGNAL PROCESSING; STATISTICS; WAKEFULNESS;

ANESTHESIA; COMPUTER SIMULATION; CONSCIOUSNESS; CORTICAL SYNCHRONIZATION; ELECTROENCEPHALOGRAPHY; GYRUS CINGULI; HUMANS; PROPOFOL; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS AS TOPIC; WAKEFULNESS;

EID: 84855400173     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0029072     Document Type: Article

References (56)

1. Myles PS, Leslie K, McNeil J, Forbes A, Chan MTV, (2004) Bispectral index monitoring to prevent awareness during anaesthesia: The B-Aware randomised controlled trial. Lancet 363: 1757-1763.
2. Tononi G, (2008) Consciousness as integrated information: A provisional manifesto. Biol Bull 215 (3): 216-42.
3. Seth AK, Barrett AB, Barnett L, (2011) Causal density and integrated information as measures of conscious level. Phil Trans R Soc A Math Phys Eng Sci 369: 3748-3767.
4. Wiener N, (1956) The theory of prediction. In: Beckenbach E, editors. Modern mathematics for engineers New York McGraw-Hill.
5. Granger C, (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37: 424-438.
6. Ding M, Chen Y, Bressler S, (2006) Granger causality: Basic theory and application to neuroscience. In: Schelter S, Winterhalder M, Timmer J, editors. Handbook of Time Series Analysis Wienheim Wiley pp. 438-460.
7. Bressler SL, Seth AK, (2011) Wiener-Granger causality: A well established methodology. Neuroimage 58: 323-329.
8. Seth AK, (2010) A MATLAB toolbox for Granger causal connectivity analysis. Neurosci Meth 186: 262-273.
9. Barnett L, Seth AK, (2011) Behaviour of Granger causality under filtering: Theoretical invariance and practical application. J Neurosci Meth 201: 404-419.
10. Mashour GA, (2011) Sleep, anesthesia, and consciousness. Sleep 34 (3): 247-248.
11. Murphy M, Bruno MA, Riedner B, Boveroux P, Noirhomme Q, et al. (2011) Propofol anesthesia and sleep: A high-density EEG study. Sleep 34 (3): 283-291.
12. Ramsay MA, Savege TM, Simpson BR, Goodwin R, (1974) Controlled sedation with alphaxalonealphadolone. Br Med J 2: 656-9.
13. Shafer A, (1995) Metaphor and anesthesia. Anesthesiology 83: 1331-42.
14. Brovelli A, Ding M, Ledberg A, Chen Y, Nakamura R, et al. (2004) Beta oscillations in a largescale sensorimotor cortical network: Directional influences revealed by Granger causality. Proc Natl Acad Sci U S A 101: 9849-9854.
15. Kay S, (1988) Modern Spectral Estimation: Theory and Application Englewood Cliffs, NJ Prentice-Hall.
16. Geweke J, (1982) Measurement of linear dependence and feedback between multiple time series. J Am Statist Assoc 77: 304-13.
17. Geweke J, (1984) Measures of conditional linear dependence and feedback between time series. J Am Statist Assoc 79: 907-915.
18. Palais R, (2001) Pi is wrong! The Mathematical Intelligencer 23 (3): 7-8.
19. Bernasconi C, Konig P, (1999) On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings. Biol Cybern 81: 199-210.
20. Hesse W, Möller E, Arnold M, Schack B, (2003) The use of time-variant EEG Granger causality for inspecting directed interdependencies of neural assemblies. J Neurosci Meth 124: 27-44.
21. Pardey J, Roberts S, Tarassenko L, Stradling J, (1996) A new approach to the analysis of the human sleep/wakefulness continuum. J Sleep Res 5: 201210.
22. Olbrich E, Achermann P, Meier P, (2003) Dynamics of human sleep EEG. Neurocomputing 52-54: 857-862.
23. Akaike H, (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19: 716-723.
24. Schwartz G, (1978) Estimating the dimension of a model. Ann Statist 5: 461-464.
25. Durbin J, Watson GS, (1950) Testing for serial correlation in least squares regression I. Biometrika 37: 409-428.
26. Ding M, Bressler S, Yang W, Liang H, (2000) Short-window spectral analysis of cortical eventrelated potentials by adaptive multivariate autoregressive modeling: data prepocessing, model validation, and variability assessment. Biol Cybern 83: 35-45.
27. Uhlhaas PJ, Pipa G, Lima B, Melloni L, Neuenschwander S, et al. (2009) Neural synchrony in cortical networks: History, concept and current status. Front Integr Neurosci 3: 17.
28. Pockett S, Bold GEJ, Freeman WJ, (2009) EEG synchrony during a perceptual-cognitive task: Widespread phase synchrony at all frequencies. Clinical Neurophysiology 120: 695-708.
29. Bressler SL, Menon V, (2010) Large-scale brain networks in cognition: Emerging methods and principles. Trends Cogn Sci 14: 277-290.
30. Friston K, Harrison L, Penny W, (2003) Dynamic causal modeling. Neuroimage 19: 1273-302.
31. Friston KJ, (2011) Functional and effective connectivity: A review. Brain Connectivity 1: 13-36.
32. Barnett L, Barrett AB, Seth AK, (2009) Granger causality and transfer entropy are equivalent for Gaussian variables. Phys Rev Lett 103: 238701.
33. Barrett AB, Barnett L, Seth AK, (2010) Multivariate Granger causality and generalized variance. Phys Rev E 81: 041907.
34. Alkire MT, Haier RJ, Barker SJ, Shah NK, Wu JC, et al. (1995) Cerebral metabolism during propofol anesthesia in humans studied with positron emission tomography. Anesthesiology 82: 393-403.
35. Laureys S, Goldman S, Phillips C, Van Bogaert P, Aerts J, et al. (1999) Impaired effective cortical connectivity in vegetative state: Preliminary investigation using PET. Neuroimage 9: 377-382.
36. Mhuircheartaigh RN, Rosenorn-Lanng D, Wise R, Jbabdi S, Rogers R, et al. (2010) Cortical and subcortical connectivity changes during decreasing levels of consciousness in humans: a functional magnetic resonance imaging study using propofol. J Neurosci 30: 9095-9102.
37. Stamatakis EA, Adapa RM, Absalom AR, Menon DK, (2010) Changes in resting neural connectivity during propofol sedation. PLoS One 5: e14224.
38. Schrouff J, Perlbarg V, Boly M, Marrelec G, Boveroux P, et al. (2011) Brain functional integration decreases during propofol-induced loss of consciousness. Neuroimage 57: 198-205.
39. Boveroux P, Vanhaudenhuyse A, Bruno MA, Noirhomme Q, Lauwick S, et al. (2010) Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness. Anesthesiology 113: 1038-1053.
40. Lee U, Müller M, Noh GJ, Choi B, Mashour GA, (2011) Dissociable network properties of anesthetic state transitions. Anesthesiology 114: 872-881.
41. Lee U, Kim S, Noh GJ, Choi BM, Hwang E, et al. (2009) The directionality and functional organization of frontoparietal connectivity during consciousness and anesthesia in humans. Conscious Cogn 18: 1069-1078.
42. Breshears JD, Roland JL, Sharma M, Gaona CM, Freudenburg ZV, et al. (2010) Stable and dynamic cortical electrophysiology of induction and emergence with propofol anesthesia. Proc Natl Acad Sci U S A 107: 21170-21175.
43. White NS, Alkire MT, (2003) Impaired thalamocortical connectivity in humans during generalanesthetic- induced unconsciousness. Neuroimage 19: 402-411.
44. Ferrarelli F, Massimini M, Sarasso S, Casali A, Riedner BA, et al. (2010) Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness. Proc Natl Acad Sci U S A 107: 2681-2686.
45. Alkire MT, Hudetz AG, Tononi G, (2008) Consciousness and anesthesia. Science 322: 876-880.
46. Mashour GA, (2005) Cognitive unbinding in sleep and anesthesia. Science 310: 1768-9.
47. John ER, Prichep LS, (2005) The anesthetic cascade: A theory of how anesthesia suppresses consciousness. Anesthesiology 102: 447-471.
48. Barrett AB, Seth AK, (2011) Practical measures of integrated information for time series data. PLoS Comput Biol 7 (1): e1001052.
49. Seth A, Izhikevich E, Reeke G, Edelman G, (2006) Theories and measures of consciousness: An extended framework. Proc Natl Acad Sci U S A 103: 10799-10804.
50. Balduzzi D, Tononi G, (2008) Integrated information in discrete dynamical systems: Motivation and theoretical framework. PLoS Comput Biol 4 (6): e1000091.
51. Massimini M, Ferrarelli F, Huber R, Esser S, Singh H, et al. (2005) Breakdown of corticaleffective connectivity during sleep. Science 309: 2228-2232.
52. Arthuis M, Valton L, Régis J, Chauvel P, Wendling F, et al. (2009) Impaired consciousness during temporal lobe seizures is related to increased long-distance cortical-subcortical synchronization. Brain 132: 2091-2101.
53. Valdes-Sosa PA, Roebroeck A, Daunizeau J, Friston K, (2011) Effective connectivity: Influence, causality and biophysical modeling. Neuroimage 58 (2): 339-361.
54. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, et al. (2008) Mapping the structural core of human cerebral cortex. PLoS Biol 6: e159.
55. Seth AK, Dienes Z, Cleeremans A, Overgaard M, Pessoa L, (2008) Measuring consciousness: Relating behavioural and neurophysiological approaches. Trends Cogn Sci 12: 314-321.
56. Boly M, Seth AK, (in press) Modes and models in disorders of consciousness science. Arch Ital Biol xx: xx-xx.