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Human mediotemporal EEG characteristics during propofol anesthesia

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Abstract

Evidence for a response-control-related kind of declarative memory during deep propofol anesthesia has recently been reported. Connectivity within the mediotemporal lobe (MTL), and in particular rhinal–hippocampal synchronization within the gamma band, has been shown to be crucial for declarative memory formation. Thus, we analyzed EEG recordings obtained from the scalp, as well as directly from within the hippocampus and from the anterior parahippocampal gyrus, which is covered by rhinal cortex, in patients with unilateral temporal lobe epilepsy during propofol anesthesia, which preceded electrode explantation. For the gamma band a power decrease starting with induction of anesthesia was observed at scalp position Cz, but a power increase was detected at MTL locations. In contrast to prior results for sleep recordings, rhinal–hippocampal coherence did not decrease within the gamma band at deeper levels of anesthesia. These findings may represent an indirect electrophysiological correlate of partially intact declarative memory formation during deep propofol sedation. Furthermore, we investigated how well the plasma propofol level, as well as different stages of anesthesia including the burst suppression phase, could be monitored by different spectral as well as by nonlinear EEG measures. We observed that conventional spectral power measures, most prominently those recorded from mediotemporal locations, are most closely correlated with the plasma propofol level, whereas different stages of anesthesia can be distinguished best by nonconventional spectral as well as nonlinear measures.

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References

  1. Abarbanel HDI, Brown R, Sidorowich JJ, Tsimring LS (1993) The analysis of observed chaotic data in physical systems. Rev Mod Phys 65:1331–1392

    Google Scholar 

  2. Amaral DG, Insausti R (1990) Hippocampal formation. In: Paxinos G (ed) The human nervous system. Academic, San Diego, pp 711–755

  3. Bethune DW, Ghosh S, Gray B, Kerr L, Walker IA, Doolan LA, Harwood RJ, Sharples LD (1992) Learning during general anaesthesia: implicit recall after methohexitone or propofol infusion. Br J Anaesth 69:197–199

    Google Scholar 

  4. Brewer JB, Zhao Z, Desmond JE, Glover GH, Gabrieli JDE (1998) Making memories: Brain activity that predicts how well visual experience will be remembered. Science 281:1185–1187

    Google Scholar 

  5. Bruhn J, Ropcke H, Hoeft A (2000) Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia. Anesthesiology 92:715–726

    Google Scholar 

  6. Challis RE, Kitney RI (1991) Biomedical signal processing: Part 3. The power spectrum and coherence function. Med Biol Eng Comput 29:225–241

    Google Scholar 

  7. Cork RC, Heaton JF, Campbell CE, Kihlstrom JF (1996) Is there implicit memory after propofol sedation? Br J Anaesth 76:492–498

    Google Scholar 

  8. Deeprose C, Andrade J, Varma S, Edwards N (2004) Unconscious learning during surgery with propofol anaesthesia. Br J Anaesth 92:171–177

    Google Scholar 

  9. Elger CE, Grunwald T, Lehnertz K, Kutas M, Helmstaedter C, Brockhaus A, Van Roost D, Heinze HJ (1997) Human temporal lobe potentials in verbal learning and memory processes. Neuropsychologia 35:657–667

    Google Scholar 

  10. Engel AK, Singer W (2001) Temporal binding and the neural correlates of sensory awareness. Trends Cogn Sci 5:16–25

    Google Scholar 

  11. Fell J, Beckmann P (1994) Resonance like phenomena in Lyapunov-calculations from data reconstructed by the time delay method. Phys Lett A 190:172–176

    Google Scholar 

  12. Fell J, Röschke J, Mann K, Schäffner C (1996) Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures. Electroencephalogr Clin Neurophysiol 98:401–410

    Google Scholar 

  13. Fell J, Klaver P, Lehnertz K, Grunwald T, Schaller C, Elger CE, Fernández G (2001) Human memory formation is accompanied by rhinal-hippocampal coupling and decoupling. Nat Neurosci 4:1259–1264

    Google Scholar 

  14. Fell J, Klaver P, Elfadil H, Schaller C, Elger CE, Fernández G (2003a) Rhinal-hippocampal theta coherence during declarative memory formation: interaction with gamma-synchronization? Eur J Neurosci 17:1082–1088

    Google Scholar 

  15. Fell J, Staedtgen M, Burr W, Kockelmann E, Helmstaedter C, Schaller C, Elger CE, Fernández G (2003b) Rhinal-hippocampal EEG coherence is reduced during human sleep. Eur J Neurosci 18:1711–1716

  16. Fernández G, Weyerts H, Schrader-Bölsche M, Tendolkar I, Smid HGOM, Tempelmann C, Hinrichs H, Scheich H, Elger CE, Mangun GR, Heinze HJ (1998) Successful verbal encoding into episodic memory engages the posterior hippocampus: a parametrically analyzed functional magnetic resonance imaging study. J Neurosci 18:1841–1847

    Google Scholar 

  17. Fernández G, Effern A, Grunwald T, Pezer N, Lehnertz K, Dümpelmann M, van Roost D, Elger CE (1999) Real-time tracking of memory formation in the human rhinal cortex and hippocampus. Science 285:1582–1585

    Google Scholar 

  18. Fernández G, Klaver P, Fell J, Grunwald T, Elger CE (2002) Human declarative memory formation: segregating rhinal and hippocampal contributions. Hippocampus 12:514–519

    Google Scholar 

  19. Frank GW, Lookman T, Nerenberg MAH, Essex C, Lemieux J, Blume W (1990) Chaotic time series analyses of epileptic seizures. Physica D 46:427–438

    Google Scholar 

  20. Grassberger P, Schreiber T, Schaffrath C (1991) Nonlinear time sequence analysis. Int J Bifurcat Chaos 1:521–547

    Google Scholar 

  21. Grassberger P, Procaccia I (1983) Measuring the strangeness of strange attractors. Physica D 9:189–208

    Google Scholar 

  22. Grunwald T, Elger CE, Lehnertz K, Van Roost D, Elger CE (1995) Alterations of intrahippocampal cognitive potentials in temporal lobe epilepsy. Electroencephalogr Clin Neurophysiol 95:53–62

    Google Scholar 

  23. Hazeaux C, Tisserant D, Vespignani H, Hummer-Sigiel M, Kwan-Ning V, Laxenaire MC (1987) Electroencephalographic impact of propofol anesthesia. Ann Fr Anesth Reanim 6:261–266

    Google Scholar 

  24. Inouye T, Shinosaki K, Sakamoto H, Toi S, Ukai S, Iyama A, Katsuda Y, Hirano M (1991) Quantification of EEG irregularity by use of the entropy of the power spectrum. Electroencephalogr Clin Neurophysiol 79:204–210

    Google Scholar 

  25. Jacoby LL (1991) A process dissociation framework: separating automatic from intentional uses of memory. J Memory Lang 30:513–541

    Google Scholar 

  26. Keil A, Gruber T, Müller MM (2001) Functional correlates of macroscopic high-frequency brain activity in the human visual system. Neurosci Biobehav Rev 25:527–534

    Google Scholar 

  27. Kerssens C, Lubke CH, Klein J, van der Woerd A, Bonke B (2002) Memory function during propofol and alfentatil anesthesia: predictive value of individual differences. Anesthesiology 97:382–389

    Google Scholar 

  28. Kuizenga K, Kalkman CJ, Hennis PJ (1998) Quantitative electroencephalographic analysis of the biphasic concentration-effect relationship of propofol in surgical patients during extradural analgesia. Br J Anaesth 80:725–732

    Google Scholar 

  29. Marsh B, White M, Morton N, Kenny GN (1991) Pharmacokinetic model driven infusion of propofol in children. Br J Anaesth 67:41–48

    Google Scholar 

  30. Munte S, Kobbe I, Demertzis A, Lullwitz E, Munte TF, Piepenbrock S, Leuwer M (1999) Increased reading speed for stories presented during general anesthesia. Anesthesiology 90:662–669

    Google Scholar 

  31. Paller KA, Mc Carthy G, Roessler E, Allison T, Wood CC (1992) Potentials evoked in human and monkey medial temporal lobe during auditory and visual oddball paradigms. Electroencephalogr Clin Neurophysiol 84:269–279

    Google Scholar 

  32. Puce A, Kalnins RM, Berkovic SF, Donnan GA, Bladin PF (1989) Limbic P3 potentials, seizure localization, and surgical pathology in temporal lobe epilepsy. Ann Neurol 26:377–385

    Google Scholar 

  33. Scoville WB, Milner B (1957) Loss of recent memory after bilateral hippocampal lesions. J Neurol Neurosurg Psychiatry 20:11–21

    Google Scholar 

  34. Stapleton CL, Andrade J (2000) An investigation of learning during propofol sedation and anesthesia using the process dissociation procedure. Anesthesiology 93:1418–1425

    Google Scholar 

  35. Steriade M, Amzica F, Contreras D (1994) Cortical and thalamic cellular correlates of electroencephalographic burst-suppression. Electroencephalogr Clin Neurophysiol 90:1–16

    Google Scholar 

  36. Soriano SG, McCann ME, Laussen PC (2002) Neuroanesthesia. Innovative technique and monitoring. Anesthesiol Clin N Am 20:137–151

    Google Scholar 

  37. Takens F (1981) Detecting strange attractors in turbulence. Lect Notes Math 898:366–381

    Google Scholar 

  38. Tallon-Baudry C, Bertrand O (1999) Oscillatory gamma activity in humans and its role in object representation. Trends Cogn Sci 3:151–162

    Google Scholar 

  39. Theiler J (1986) Spurious dimensions from correlation algorithms applied to limited time-series data. Phys Rev A 34:2427–2432

    Google Scholar 

  40. Van Gils M, Korhonen I, Yli-Hankala A (2002) Methods for assessing adequacy of anesthesia. Crit Rev Biomed Eng 30:99–130

    Google Scholar 

  41. Van Roost D, Solymosi L, Schramm J, Van Oosterwyck B, Elger CE (1998) Depth electrode implantation in the length axis of the hippocampus for the presurgical evaluation of medial temporal lobe epilepsy: A computed tomography-based stereotactic insertion technique and its accuracy. Neurosurgery 43:819–826

    Google Scholar 

  42. Varela F, Lachaux JP, Rodriguez E, Martinerie J (2001) The brain-web: phase synchronization and large-scale integration. Nat Rev Neurosci 2:229–239

    Google Scholar 

  43. Wagner AD, Schacter DL, Rotte M, Koutstaal W, Maril A, Dale AM, Rosen BR, Buckner RL (1998) Building memories: remembering and forgetting of verbal experiences as predicted by brain activity. Science 281:1188–1191

    Google Scholar 

  44. Widman G, Schreiber T, Rehberg B, Hoeft A, Elger CE (2000) Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity. Phys Rev E 62:4898–4903

    Google Scholar 

  45. Wolf A, Swift JB, Swinney HL, Vastano JA (1985) Determining Lyapunov exponents from a time series. Physica D 16:285–317

    Google Scholar 

  46. Zhang XS, Roy RJ, Jensen EW (2001) EEG complexity as a measure of depth of anesthesia for patients. IEEE Trans Biomed Eng 48:1424–1433

    Google Scholar 

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Fell, J., Widman, G., Rehberg, B. et al. Human mediotemporal EEG characteristics during propofol anesthesia. Biol Cybern 92, 92–100 (2005). https://doi.org/10.1007/s00422-004-0538-7

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  • DOI: https://doi.org/10.1007/s00422-004-0538-7

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