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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Anesth Analg. 2016 Jun;122(6):1737–1739. doi: 10.1213/ANE.0000000000001207

Anesthetic Suppression of Thalamic High Frequency Oscillations: Evidence that the Thalamus is More than Just a Gateway to Consciousness?

Miles Berger 1, Paul Garcia 2
PMCID: PMC4874518  NIHMSID: NIHMS753198  PMID: 27195617

What does anesthesia do to the brain?

Despite over a century of investigation, we still lack a full answer to this fundamental question.1 We know many of the molecular targets upon which anesthetics act, but we do not fully understand how these molecular effects give rise to circuit-level or region-specific changes in brain activity. Further, we know virtually nothing about how or why small changes in anesthetic concentration during a case can alter the incidence of delirium and postoperative cognitive dysfunction days2 to months3 later.

Our lack of understanding of how anesthetics affect the brain and long-term cognitive outcomes is not surprising, though, considering the vast complexity of the human brain; it contains ~ 86 billion4 neurons with an estimated 125 trillion connections. However, the neurophysiologic changes that accompany the descent from consciousness into general anesthesia may provide a “toe-hold” for understanding how the complex structure of the brain processes information. In this sense, anesthesia is a natural tool to understanding how cellular and circuit-level phenomena give rise to behavior before deciphering more complex executive functions or emotions. Further, given the upcoming ASA Brain Health Initiative, it is timely and important for anesthesiologists to develop a mechanistic understanding of how anesthetic drugs affect the brain. Realizing this goal can help us to achieve the clinical endpoints of general anesthesia, and to ensure optimum postoperative cognitive function for our patients.

In this issue of the journal, Plourde and colleagues contribute to our understanding of how anesthetic drugs affect the brain.5 Specifically the authors examine how isoflurane modulates neural activity patterns in two important brain regions for information processing, the cerebral cortex and the thalamus. Because these two regions are critically important for cognition and attention, neuroscientific research has intensely focused on their association with each other. A brief reflection on these brain regions helps us to understand these results in the proper scientific context.

The cerebral cortex has mountain-like gyri separated by intervening valleys (known as sulci) that gives the outer surface of the human brain its classic “wrinkled” appearance. The cerebral cortex is thought to process the neuronal information that gives rise to complex human thought and behavior (e.g., planning, thinking). The thalamus lies deeper within the brain (Figure 1), and has afferent and efferent connections with both cortical and subcortical areas. The thalamus is often referred to as a “gate” because it controls ascending information from subcortical arousal centers (such as the tuberomammalary nucleus, pontine reticular formation, and locus coeruleus) to the cortex.

Figure 1.

Figure 1

Neural connections between the thalamus, cortex, and brainstem.

By emphasizing the gate metaphor, though, it is tempting to overlook the importance of the thalamus as nothing more than a threshold activated “switch” for cortical activation. For example, in sleep the cortex is less responsive to mild stimulation (i.e., whispering) but if enough environmental stimulation is presented (i.e., an alarm clock) the information can open the thalamic gate, reach the cortex and awaken us. But, just as crossing Berlin’s Brandenberg Gate represented a fundamental transformation from the Iron Curtain to Western freedom at the end of the cold war, the thalamus represents more than a simple passageway for sensory information: it represents a point of information transformation. Environmental sensory input stops in the thalamus for processing before being sent to the cortex, and information from one cortical region is also modified in the thalamus before further processing in other cortical regions. In addition to input from the brainstem, connections exist among the thalamic nuclei (thalamo-thalamo connections), from thalamus to cortex (thalamo-cortical connections), and from cortex to the thalamus (cortico-thalamic connections). The presence of these prominent corticothalamic connections suggest that the thalamus is an important player in transforming information from the cortex,6,7 rather than simply relaying information to the cortex.

Thalamic lesions typically lead to a global loss of consciousness.8 Conversely, thalamic excitation can produce an aroused/awake state even amidst isoflurane doses that would normally produce unconsciousness,9,10 and was sufficient to increase consciousness in a patient with severe traumatic brain injury.11 During isoflurane-induced unconsciousness, thalamic and cortical firing in vivo becomes synchronized.12 Like slow wave sleep, profound depressions in consciousness are associated with a change in the firing pattern of thalamic neurons from irregular but consistently active (“tonic firing”) to more rhythmic “bursting” patterns (reviewed in13). These synchronous neuronal firings can be detected by local field potentials and cranial electroencephalogram (EEG) in rodent models, and by EEG recordings in humans. Thalamocortical neuronal activity (in the frontotemporal cortices) is typified by moderate amplitude voltage oscillations in the gamma frequency range (~40–80 Hz) during waking behaviors (reviewed in14). Thalamocortical gamma frequency oscillations are essential for conscious perception and cognitive tasks15 and are thought to be a neural correlate of conscious perception.16 These gamma frequency oscillations are also the first EEG frequency band to change during transitions in and out of consciousness.17,18 With the notable exception of ketamine,19 general anesthesia is typically accompanied by a suppression of gamma EEG frequencies and a transition to higher amplitude, slower frequencies (8 – 14 Hz).17,18,20 Less is known about the high gamma oscillations (80–200 Hz), which are sometimes referred to as ripples.21

What does this paper show?

Plourde et al. confirm that like propofol,22 isoflurane attenuates thalamic gamma frequency oscillations (30 – 200 Hz) in a concentration-dependent manner.5 They also demonstrate that isoflurane attenuates these gamma frequency oscillations in the cortex to a greater extent than does propofol.22 The authors used concentrations of isoflurane and propofol that were equipotent at producing loss of the righting reflex, but they note that their results may have differed if using alternative behavioral endpoints that require higher anesthetic doses (e.g., suppressing reaction to noxious stimulation). Perhaps most importantly, for both propofol and isoflurane, the suppression of high gamma frequency oscillations was more pronounced in the thalamus than the cerebral cortex. This provides strong support for the notion that unconsciousness is associated with impairment of thalamic activity, and suggests that corticothalamic activity is necessary for consciousness.

What do these findings mean?

Traditionally, the cerebral cortex is considered to be the part of the brain that makes us human, and the integration of cortical information has been suggested as an explanation of our normal conscious states. The thalamic field potential recording data presented by Plourde and colleagues5,22 force us to reconsider this view. Local field potential recordings mainly represent postsynaptic dendritic depolarizations rather than axonal action potentials. Since the high frequency input to the thalamus is the frequency bandwidth most affected at anesthetic-induced unconsciousness, this suggests that these high frequency corticothalamic inputs are important for producing/maintaining consciousness. In the context of current theories on the “binding” of consciousness,23 these results suggest that thalamic processing of cortico-thalamic information plays an equally important role in producing consciousness as the cortical processing of thalamo-cortical information. It is possible that cortical integration of information that translates into a conscious phenomenon must involve “closing the information loop” via a cortico-thalamo-cortical network.

In addition to providing insight into mechanisms of consciousness, these results clarify the neurophysiologic mechanisms that underlie the pharmacodynamic effects of different anesthetic agents. For example, the steeper dose response curve for isoflurane versus propofol for cortical gamma frequency power suppression is notable,5 and could even explain several clinical differences between these drugs. First, this finding could explain why a higher rate of awareness has been found after cases in which anesthesia is maintained with propofol (i.e. total IV anesthesia) versus inhaled agents,24 although clearly this could also be explained by the lack of an effect-site proxy monitor for propofol (e.g. an equivalent of end-tidal monitoring for propofol). Second, perhaps the steeper dose response curve for cortical gamma suppression by isoflurane than propofol may explain why propofol has been associated with a higher rate of intraoperative dreaming than inhaled agents in some25,26 (though not all27) studies. Perhaps isoflurane abolishes the cortical activity that mediates dreaming (i.e. gamma frequency power) to a greater extent than propofol.

Where do we go from here?

The findings of Plourde et al.5,22 bring us one step closer in our epic quest to understand how anesthetics affect the brain. A full answer to this question1 will require multiple levels of analysis, from an understanding of how the molecular effects of anesthetics give rise to alterations in cellular and synaptic function, which then change circuit and brain region level activity patterns to ultimately produce the cognitive and behavioral picture that we intuitively recognize as general anesthesia. This is a massive project. However, there should be no doubt that this work is essential for us to better understand what our drugs are doing to our patients’ brains, and how to promote healthy neurocognitive function for our patients afterwards. Our patients deserve no less.

Acknowledgments

Funding: Dr. Berger acknowledges funding from the International Anesthesia Research Society (Mentored Research Award), and the National Institute of Aging (R03AG050918). Dr. Garcia acknowledges funding from a VA Career Development Award and a grant from the James S. McDonnell Foundation (www.jsmf.org).

Footnotes

Reprints will not be available from the authors.

The authors declare no conflicts of interest.

Contributor Information

Miles Berger, Anesthesiology Department, Duke University Medical Center, Durham, North Carolina.

Paul Garcia, Department of Anesthesiology, Emory University School of Medicine, Atlanta, Georgia; Anesthesiology and Research Divisions, Atlanta VA Medical Center, Atlanta, Georgia.

References

  • 1.Sleigh J, Hight D. What would a proper explanation of anesthesia look like? Anesthesiology. 2015;122:1196–7. doi: 10.1097/ALN.0000000000000672. [DOI] [PubMed] [Google Scholar]
  • 2.Radtke FM, Franck M, Lendner J, Kruger S, Wernecke KD, Spies CD. Monitoring depth of anaesthesia in a randomized trial decreases the rate of postoperative delirium but not postoperative cognitive dysfunction. Br J Anaesth. 2013;110(Suppl 1):i98–105. doi: 10.1093/bja/aet055. [DOI] [PubMed] [Google Scholar]
  • 3.Chan MT, Cheng BC, Lee TM, Gin T, Group CT. BIS-guided anesthesia decreases postoperative delirium and cognitive decline. J Neurosurg Anesthesiol. 2013;25:33–42. doi: 10.1097/ANA.0b013e3182712fba. [DOI] [PubMed] [Google Scholar]
  • 4.Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, Jacob Filho W, Lent R, Herculano-Houzel S. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. 2009;513:532–41. doi: 10.1002/cne.21974. [DOI] [PubMed] [Google Scholar]
  • 5.Plourde G, Reed SJ, Chapman CA. Attenuation of High-Frequency (50–200 Hz) Thalamocortical EEG Rhythms by Isoflurane in Rats is More Pronounced for the Thalamus than for the Cortex. Anesth Analg. 2016 doi: 10.1213/ANE.0000000000001166. IN THIS ISSUE. [DOI] [PubMed] [Google Scholar]
  • 6.Guillery RW. Branching thalamic afferents link action and perception. J Neurophysiol. 2003;90:539–48. doi: 10.1152/jn.00337.2003. [DOI] [PubMed] [Google Scholar]
  • 7.Sherman SM. The thalamus is more than just a relay. Curr Opin Neurobiol. 2007;17:417–22. doi: 10.1016/j.conb.2007.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Castaigne P, Lhermitte F, Buge A, Escourolle R, Hauw JJ, Lyon-Caen O. Paramedian thalamic and midbrain infarct: clinical and neuropathological study. Ann Neurol. 1981;10:127–48. doi: 10.1002/ana.410100204. [DOI] [PubMed] [Google Scholar]
  • 9.Alkire MT, Asher CD, Franciscus AM, Hahn EL. Thalamic microinfusion of antibody to a voltage-gated potassium channel restores consciousness during anesthesia. Anesthesiology. 2009;110:766–73. doi: 10.1097/aln.0b013e31819c461c. [DOI] [PubMed] [Google Scholar]
  • 10.Alkire MT, McReynolds JR, Hahn EL, Trivedi AN. Thalamic microinjection of nicotine reverses sevoflurane-induced loss of righting reflex in the rat. Anesthesiology. 2007;107:264–72. doi: 10.1097/01.anes.0000270741.33766.24. [DOI] [PubMed] [Google Scholar]
  • 11.Schiff ND, Giacino JT, Kalmar K, Victor JD, Baker K, Gerber M, Fritz B, Eisenberg B, Biondi T, O’Connor J, Kobylarz EJ, Farris S, Machado A, McCagg C, Plum F, Fins JJ, Rezai AR. Behavioural improvements with thalamic stimulation after severe traumatic brain injury. Nature. 2007;448:600–3. doi: 10.1038/nature06041. [DOI] [PubMed] [Google Scholar]
  • 12.Silva A, Cardoso-Cruz H, Silva F, Galhardo V, Antunes L. Comparison of anesthetic depth indexes based on thalamocortical local field potentials in rats. Anesthesiology. 2010;112:355–63. doi: 10.1097/ALN.0b013e3181ca3196. [DOI] [PubMed] [Google Scholar]
  • 13.Llinas RR, Steriade M. Bursting of thalamic neurons and states of vigilance. J Neurophysiol. 2006;95:3297–308. doi: 10.1152/jn.00166.2006. [DOI] [PubMed] [Google Scholar]
  • 14.Steriade M. Corticothalamic resonance, states of vigilance and mentation. Neuroscience. 2000;101:243–76. doi: 10.1016/s0306-4522(00)00353-5. [DOI] [PubMed] [Google Scholar]
  • 15.Rodriguez E, George N, Lachaux JP, Martinerie J, Renault B, Varela FJ. Perception’s shadow: long-distance synchronization of human brain activity. Nature. 1999;397:430–3. doi: 10.1038/17120. [DOI] [PubMed] [Google Scholar]
  • 16.Melloni L, Molina C, Pena M, Torres D, Singer W, Rodriguez E. Synchronization of neural activity across cortical areas correlates with conscious perception. J Neurosci. 2007;27:2858–65. doi: 10.1523/JNEUROSCI.4623-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Purdon PL, Pierce ET, Mukamel EA, Prerau MJ, Walsh JL, Wong KF, Salazar-Gomez AF, Harrell PG, Sampson AL, Cimenser A, Ching S, Kopell NJ, Tavares-Stoeckel C, Habeeb K, Merhar R, Brown EN. Electroencephalogram signatures of loss and recovery of consciousness from propofol. Proc Natl Acad Sci U S A. 2013;110:E1142–51. doi: 10.1073/pnas.1221180110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Boly M, Moran R, Murphy M, Boveroux P, Bruno MA, Noirhomme Q, Ledoux D, Bonhomme V, Brichant JF, Tononi G, Laureys S, Friston K. Connectivity changes underlying spectral EEG changes during propofol-induced loss of consciousness. J Neurosci. 2012;32:7082–90. doi: 10.1523/JNEUROSCI.3769-11.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lee U, Ku S, Noh G, Baek S, Choi B, Mashour GA. Disruption of frontal-parietal communication by ketamine, propofol, and sevoflurane. Anesthesiology. 2013;118:1264–75. doi: 10.1097/ALN.0b013e31829103f5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical Electroencephalography for Anesthesiologists: Part I: Background and Basic Signatures. Anesthesiology. 2015;123:937–60. doi: 10.1097/ALN.0000000000000841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gotman J. High frequency oscillations: the new EEG frontier? Epilepsia. 2010;51(Suppl 1):63–5. doi: 10.1111/j.1528-1167.2009.02449.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Reed SJ, Plourde G. Attenuation of high-frequency (50–200 Hz) thalamocortical EEG rhythms by propofol in rats is more pronounced for the thalamus than for the cortex. PLoS One. 2015;10:e0123287. doi: 10.1371/journal.pone.0123287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Alkire MT, Hudetz AG, Tononi G. Consciousness and anesthesia. Science. 2008;322:876–80. doi: 10.1126/science.1149213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Morimoto Y, Nogami Y, Harada K, Tsubokawa T, Masui K. Awareness during anesthesia: the results of a questionnaire survey in Japan. J Anesth. 2011;25:72–7. doi: 10.1007/s00540-010-1050-y. [DOI] [PubMed] [Google Scholar]
  • 25.Brandner B, Blagrove M, McCallum G, Bromley LM. Dreams, images and emotions associated with propofol anaesthesia. Anaesthesia. 1997;52:750–5. doi: 10.1111/j.1365-2044.1997.161-az0171.x. [DOI] [PubMed] [Google Scholar]
  • 26.Kasmacher H, Petermeyer M, Decker C. Incidence and quality of dreaming during anesthesia with propofol in comparison with enflurane. Anaesthesist. 1996;45:146–53. doi: 10.1007/s001010050249. [DOI] [PubMed] [Google Scholar]
  • 27.Leslie K, Sleigh J, Paech MJ, Voss L, Lim CW, Sleigh C. Dreaming and electroencephalographic changes during anesthesia maintained with propofol or desflurane. Anesthesiology. 2009;111:547–55. doi: 10.1097/ALN.0b013e3181adf768. [DOI] [PubMed] [Google Scholar]

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