Disruption of frontal-parietal communication by ketamine, propofol, and sevoflurane
Open accessAbstract
Introduction: Directional connectivity from anterior to posterior brain regions (or “feedback” connectivity) has been shown to be inhibited by propofol and sevoflurane. In this study the authors tested the hypothesis that ketamine would also inhibit cortical feedback connectivity in frontoparietal networks. Methods: Surgical patients (n = 30) were recruited for induction of anesthesia with intravenous ketamine (2 mg/kg); electroencephalography of the frontal and parietal regions was acquired. The authors used normalized symbolic transfer entropy, a computational method based on information theory, to measure directional connectivity across frontal and parietal regions. Statistical analysis of transfer entropy measures was performed with the permutation test and the time-shift test to exclude false-positive connectivity. For comparison, the authors used normalized symbolic transfer entropy to reanalyze electroencephalographic data gathered from surgical patients receiving either propofol (n = 9) or sevoflurane (n = 9) for anesthetic induction. Results: Ketamine reduced alpha power and increased gamma power, in contrast to both propofol and sevoflurane. During administration of ketamine, feedback connectivity gradually diminished and was significantly inhibited after loss of consciousness (mean ± SD of baseline and anesthesia: 0.0074 ± 0.003 and 0.0055 ± 0.0027; F (5, 179) = 7.785, P < 0.0001). By contrast, feedforward connectivity was preserved during exposure to ketamine (mean ± SD of baseline and anesthesia: 0.0041 ± 0.0015 and 0.0046 ± 0.0018; F (5, 179) = 2.07; P = 0.072). Like ketamine, propofol and sevoflurane selectively inhibited feedback connectivity after anesthetic induction. Conclusions: Diverse anesthetics disrupt frontal–parietal communication, despite molecular and neurophysiologic differences. Analysis of directional connectivity in frontal–parietal networks could provide a common metric of general anesthesia and insight into the cognitive neuroscience of anesthetic-induced unconsciousness.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several lines of evidence suggest that anesthetics preferentially affect feedback connectivity originating in frontal cortex, as predicted by GNW theory.
“Several lines of evidence also suggest that anesthetics preferentially affect feedback connectivity originating in the frontal cortex, as might be predicted by the GNW theory (Lee et al., 2013; Moon et al., 2015).”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Lee et al., 2013
Electroencephalography has identified reduced proxies for information transfer linking prefrontal and posterior parietal cortex.
“These findings support the identification of depressed surrogates of information transfer between prefrontal and posterior parietal cortex as identified by electroencephalography [142].”
From The Biology of General Anesthesia from Paramecium to Primate (2019) · cites this paper as [142]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Measuring Information Transfer
Schreiber, T. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.461 · Cited by 4,571 · see citing works
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573 · see citing works
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · see citing works
Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008) · Science · doi:10.1126/science.1149213 · Cited by 1,245 · see citing works
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Vicente, R., Wibral, M., Lindner, M., & Pipa, G. (2010) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0262-3 · Cited by 1,009 · see citing works
Nitrous oxide (laughing gas) is an NMDA antagonist, neuroprotectant and neurotoxin
Jevtović‐Todorović, V., Todorovć, S. M., Mennerick, S. J., Powell, S., Dikranian, K. T., Benshoff, N. D., Zorumski, C. F., & Olney, J. W. (1998) · Nature Medicine · doi:10.1038/nm0498-460 · Cited by 675 · see citing works
Boveroux, P., Vanhaudenhuyse, A., Bruno, M.-A., Noirhomme, Q., Lauwick, S., Luxen, A., Degueldre, C., Plenevaux, A., Schnakers, C., Phillips, C., et al. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181f697f5 · Cited by 630 · see citing works
Feedforward, horizontal, and feedback processing in the visual cortex
Lamme, V. A. F., Supèr, H., & Spekreijse, H. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80042-1 · Cited by 624 · see citing works
Staniek, M., & Lehnertz, K. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.158101 · Cited by 598 · see citing works
Preserved Feedforward But Impaired Top-Down Processes in the Vegetative State
Boly, M., Garrido, M. I., Gosseries, O., Bruno, M., Boveroux, P., Caroline Schnakers, A., Massimini, M., Vladimir Litvak, A., Laureys, S., & Friston, K. J. (2011) · Science · doi:10.1126/science.1202043 · Cited by 499 · see citing works
Thalamocortical model for a propofol-induced α-rhythm associated with loss of consciousness
Ching, S., Cimenser, A., Purdon, P. L., Brown, E. N., & Kopell, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017069108 · Cited by 402 · see citing works
Connectivity Changes Underlying Spectral EEG Changes during Propofol-Induced Loss of Consciousness
Boly, M., Moran, R., Murphy, M., Boveroux, P., Bruno, M., Noirhomme, Q., Ledoux, D., Bonhomme, V. L., Brichant, J.-F., Tononi, G., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3769-11.2012 · Cited by 307 · see citing works
HCN1 Channel Subunits Are a Molecular Substrate for Hypnotic Actions of Ketamine
Chen, X., Shu, S., & Bayliss, D. A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3481-08.2009 · Cited by 279 · see citing works
Kaisti, K. K., Metsähonkala, L., Teräs, M., Oikonen, V., Aalto, S., Jääskeläinen, S., Hinkka, S., & Scheinin, H. (2002) · Anesthesiology · doi:10.1097/00000542-200206000-00015 · Cited by 276 · see citing works
Lindner, M., Vicente, R., Priesemann, V., & Wibral, M. (2011) · BMC Neuroscience · doi:10.1186/1471-2202-12-119 · Cited by 231 · see citing works
Role of endogenous sleep-wake and analgesic systems in anesthesia
Lu, J., Nelson, L. E., Franks, N., Maze, M., Chamberlin, N. L., & Saper, C. B. (2008) · Journal of Comparative Neurology · doi:10.1002/cne.21685 · Cited by 230 · see citing works
Evaluating Information Transfer Between Auditory Cortical Neurons
Gourévitch, B., & Eggermont, J. J. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01106.2006 · Cited by 214 · see citing works
Ku, S. W., Lee, U., Noh, G. J., Jun, I., & Mashour, G. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025155 · Cited by 212 · see citing works
Self-citationReturning from oblivion: imaging the neural core of consciousness
Långsjö, J. W., Alkire, M. T., Kaskinoro, K., Hayama, H., Maksimow, A., Kaisti, K. K., Aalto, S., Aantaa, R., Jääskeläinen, S. K., Revonsuo, A., et al. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4962-11.2012 · Cited by 205 · see citing works
Imas, O. A., Ropella, K. M., Ward, B. D., Wood, J. D., & Hudetz, A. G. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.06.018 · Cited by 189 · see citing works
Cortical Hypersynchrony Predicts Breakdown of Sensory Processing during Loss of Consciousness
Supp, G. G., Siegel, M., Hipp, J. F., & Engel, A. K. (2011) · Current Biology · doi:10.1016/j.cub.2011.10.017 · Cited by 185 · see citing works
Different glutamate receptors convey feedforward and recurrent processing in macaque V1
Self, M. W., Kooijmans, R. N., Supèr, H., Lamme, V. A., & Roelfsema, P. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119527109 · Cited by 184 · see citing works
Lee, U., Kim, S., Noh, G., Choi, B., Hwang, E., & Mashour, G. A. (2009) · Consciousness and Cognition · doi:10.1016/j.concog.2009.04.004 · Cited by 183 · see citing works
Self-citationIs the Site of Action of Ketamine Anesthesia the N-Methyl-D-Aspartate Receptor?
Yamamura, T., Harada, K., Okamura, A., & Kemmotsu, O. (1990) · Anesthesiology · doi:10.1097/00000542-199004000-00021 · Cited by 179 · see citing works
S -Ketamine Anesthesia Increases Cerebral Blood Flow in Excess of the Metabolic Needs in Humans
Långsjö, J., Maksimow, A. T., Salmi, E., Kaisti, K. K., Aalto, S., Oikonen, V., Hinkka‐Yli‐Salomäki, S., Aantaa, R., Sipilä, H. T., Viljanen, T., et al. (2005) · Anesthesiology · doi:10.1097/00000542-200508000-00008 · Cited by 160 · see citing works
Barrett, A. B., Murphy, M., Bruno, M., Noirhomme, Q., Boly, M., Laureys, S., & Seth, A. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029072 · Cited by 149 · see citing works
Stam, C. J., & van Straaten, E. C. W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.050 · Cited by 144 · see citing works
Hirota, K. (1999) · European Journal of Anaesthesiology · doi:10.1046/j.1365-2346.1999.00585.x · Cited by 106 · see citing works
Imas, O. A., ROPELLA, K. M., Wood, J. D., & Hudetz, A. G. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2006.04.003 · Cited by 87 · see citing works
Nicolaou, N., Hourris, S., Alexandrou, P., & Georgiou, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033869 · Cited by 80 · see citing works
General Anesthetics and Molecular Mechanisms of Unconsciousness
Forman, S. A., & Chin, V. A. (2008) · International Anesthesiology Clinics · doi:10.1097/aia.0b013e3181755da5 · Cited by 63 · see citing works
Effects of ketamine on the electroencephalograph
Schwartz, M. S., VIRDEN, S., & Scott, D. F. (1974) · Anaesthesia · doi:10.1111/j.1365-2044.1974.tb00611.x · Cited by 60 · see citing works
Inferring directional interactions from transient signals with symbolic transfer entropy
Martini, M., Kranz, T. A., Wagner, T., et al. (2011) · Physical Review E · doi:10.1103/physreve.83.011919 · Cited by 57 · see citing works
Symbolic transfer entropy: inferring directionality in biosignals
Staniek, M., & Lehnertz, K. (2009) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt.2009.040 · Cited by 45 · see citing works
Changeux, J. (2012) · Current Opinion in Anaesthesiology · doi:10.1097/aco.0b013e32835561de · Cited by 31 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Conscious Processing and the Global Neuronal Workspace Hypothesis
Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.026 · Cited by 1,164 · see citing works
“Several lines of evidence also suggest that anesthetics preferentially affect feedback connectivity originating in frontal cortex, as might be predicted by GNW theory (Lee et al., 2013; Moon et al., 2015).”
BackgroundSelf-citationSitt, J. D., King, J.-R., El Karoui, I., Rohaut, B., Faugeras, F., Gramfort, A., Cohen, L., Sigman, M., Dehaene, S., & Naccache, L. (2014) · Brain · doi:10.1093/brain/awu141 · Cited by 608 · see citing works
Consciousness and Complexity during Unresponsiveness Induced by Propofol, Xenon, and Ketamine
Sarasso, S., Boly, M., Napolitani, M., Gosseries, O., Charland-Verville, V., Casarotto, S., Rosanova, M., Casali, A. G., Brichant, J.-F., Boveroux, P., et al. (2015) · Current Biology · doi:10.1016/j.cub.2015.10.014 · Cited by 399 · see citing works
The threshold for conscious report: Signal loss and response bias in visual and frontal cortex
van Vugt, B., Dagnino, B., Vartak, D., Safaai, H., Panzeri, S., Dehaene, S., & Roelfsema, P. R. (2018) · Science · doi:10.1126/science.aar7186 · Cited by 394 · see citing works
Thalamus Modulates Consciousness via Layer-Specific Control of Cortex
Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., Afrasiabi, M., Raz, A., & Saalmann, Y. B. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.005 · Cited by 391 · see citing works
Ketamine: 50 Years of Modulating the Mind
Li, L., & Vlisides, P. E. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00612 · Cited by 385 · see citing works
General anesthesia decouples cortical pyramidal neurons
Suzuki, M., & Larkum, M. E. (2020) · Cell · doi:10.1016/j.cell.2020.01.024 · Cited by 348 · see citing works
Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Bruno, M.-A., Jaquet, O., Bahri, M. A., Plenevaux, A., Boly, M., Boveroux, P., Soddu, A., et al. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001275 · Cited by 207 · see citing works
Neural correlates of unconsciousness in large-scale brain networks
Mashour, G. A., & Hudetz, A. G. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.01.003 · Cited by 189 · see citing works
Self-citationThe cognitive neuroscience of lucid dreaming
Baird, B., Mota-Rolim, S. A., & Dresler, M. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.008 · Cited by 192 · see citing works
Tasserie, J., Uhrig, L., Sitt, J. D., Manasova, D., Dupont, M., Dehaene, S., & Jarraya, B. (2022) · Science Advances · doi:10.1126/sciadv.abl5547 · Cited by 171 · see citing works
Consciousness and complexity: a consilience of evidence
Sarasso, S., Casali, A. G., Casarotto, S., Rosanova, M., Sinigaglia, C., & Massimini, M. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab023 · Cited by 171 · see citing works
Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation
Bastos, A. M., Donoghue, J. A., Brincat, S. L., Mahnke, M., Yanar, J., Correa, J., Waite, A. S., Lundqvist, M., Roy, J., Brown, E. N., et al. (2021) · eLife · doi:10.7554/elife.60824 · Cited by 166 · see citing works
Jordan, D., Ilg, R., Riedl, V., Schorer, A., Grimberg, S., Neufang, S., Omerovic, A., Berger, S., Untergehrer, G., Preibisch, C., et al. (2013) · Anesthesiology · doi:10.1097/aln.0b013e3182a7ca92 · Cited by 180 · see citing works
The Biology of General Anesthesia from Paramecium to Primate
Kelz, M. B., & Mashour, G. A. (2019) · Current Biology · doi:10.1016/j.cub.2019.09.071 · Cited by 151 · see citing works
Self-citationResting-state Dynamics as a Cortical Signature of Anesthesia in Monkeys
Uhrig, L., Sitt, J. D., Jacob, A., Tasserie, J., Barttfeld, P., Dupont, M., Dehaene, S., & Jarraya, B. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002336 · Cited by 131 · see citing works
Moon, J.-Y., Lee, U., Blain-Moraes, S., & Mashour, G. A. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004225 · Cited by 136 · see citing works
Self-citationMashour, G. A., & Hudetz, A. G. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00044 · Cited by 133 · see citing works
Self-citationBrain areas that influence general anesthesia
Leung, L. S., Luo, T., Ma, J., & Herrick, I. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.08.001 · Cited by 126 · see citing works
Palanca, B. J. A., Mitra, A., Larson-Prior, L., Snyder, A. Z., Avidan, M. S., & Raichle, M. E. (2015) · Anesthesiology · doi:10.1097/aln.0000000000000731 · Cited by 112 · see citing works
Anesthesia and the neurobiology of consciousness
Mashour, G. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.03.002 · Cited by 127 · see citing works
Self-citationMashour, G. A. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.09.009 · Cited by 92 · see citing works
Self-citationHayat, H., Marmelshtein, A., Krom, A. J., Sela, Y., Tankus, A., Strauss, I., Fahoum, F., Fried, I., & Nir, Y. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01107-4 · Cited by 91 · see citing works
Disruption of corticocortical information transfer during ketamine anesthesia in the primate brain
Schroeder, K. E., Irwin, Z. T., Gaidica, M., Bentley, J. N., Patil, P. G., Mashour, G. A., & Chestek, C. A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.039 · Cited by 95 · see citing works
Self-citationDynamic cortical connectivity during general anesthesia in healthy volunteers
Li, D., Vlisides, P. E., Kelz, M. B., Avidan, M. S., Mashour, G. A., & for the ReCCognition Study Group (2019) · Anesthesiology · doi:10.1097/aln.0000000000002656 · Cited by 69 · see citing works
Self-citationDistinct EEG signatures differentiate unconsciousness and disconnection during anaesthesia and sleep
Casey, C. P., Tanabe, S., Farahbakhsh, Z., Parker, M., Bo, A., White, M., Ballweg, T., Mcintosh, A., Filbey, W., Saalmann, Y., et al. (2022) · British Journal of Anaesthesia · doi:10.1016/j.bja.2022.01.010 · Cited by 66 · see citing works
Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients
Vlisides, P. E., Li, D., Zierau, M., Lapointe, A. P., Ip, K. I., McKinney, A. M., & Mashour, G. A. (2019) · Anesthesiology · doi:10.1097/aln.0000000000002677 · Cited by 66 · see citing works
Self-citationAre we really unconscious in “unconscious” states? Common assumptions revisited
Sevenius Nilsen, A., Juel, B. E., Thürer, B., Aamodt, A., & Storm, J. F. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.987051 · Cited by 49 · see citing works
Breakdown of local information processing may underlie isoflurane anesthesia effects
Wollstadt, P., Sellers, K. K., Rudelt, L., Priesemann, V., Hutt, A., Fröhlich, F., & Wibral, M. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005511 · Cited by 49 · see citing works
Warnaby, C. E., Seretny, M., Ní Mhuircheartaigh, R., Rogers, R., Jbabdi, S., Sleigh, J., & Tracey, I. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001027 · Cited by 38 · see citing works
Disruption of conscious access in psychosis is associated with altered structural brain connectivity
Berkovitch, L., Charles, L., Del Cul, A., Hamdani, N., Delavest, M., Sarrazin, S., Mangin, J.-F., Guevara, P., Ji, E., d'Albis, M.-A., et al. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.0945-20.2020 · Cited by 36 · see citing works
Conscious Perception and the Prefrontal Cortex A Review
Michel, M. (2022) · Journal of Consciousness Studies · doi:10.53765/20512201.29.7.115 · Cited by 33 · see citing works
Cohen, D., van Swinderen, B., & Tsuchiya, N. (2018) · eneuro · doi:10.1523/eneuro.0329-17.2018 · Cited by 23 · see citing works
Leveraging Nonhuman Primate Multisensory Neurons and Circuits in Assessing Consciousness Theory
Noel, J.-P., Ishizawa, Y., Patel, S. R., Eskandar, E. N., & Wallace, M. T. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.0934-19.2019 · Cited by 30 · see citing works
Propofol-induced Changes in α-β Sensorimotor Cortical Connectivity
Malekmohammadi, M., AuYong, N., Price, C. M., Tsolaki, E., Hudson, A. E., & Pouratian, N. (2018) · Anesthesiology · doi:10.1097/aln.0000000000001940 · Cited by 23 · see citing works
McMillan, R., Forsyth, A., Campbell, D., Malpas, G., Maxwell, E., Dukart, J., Hipp, J. F., & Muthukumaraswamy, S. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881118822263 · Cited by 21 · see citing works
Awal, M. R., Austin, D., Florman, J., Alkema, M., Gabel, C. V., & Connor, C. W. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002342 · Cited by 22 · see citing works
Highways of the brain, traffic of the mind
Mashour, G. A. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002385 · Cited by 7 · see citing works
Self-citation
- Authors
- Lee, U., Ku, S., Noh, G., Baek, S., Choi, B., & Mashour, G. A.
- Affiliations
- University of Michigan (US)
- Associate Professor
- Professor, Department of Clinical Pharmacology and Therapeutics, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
- Assistant Professor, Department of Anesthesiology and Pain Medicine
- Corresponding author
- Mashour, George A.
- Venue
- Anesthesiology
- Published
- 2013-06
- Volume
- 118
- Issue
- 6
- Pages
- 1264-1275
- ISSN
- 0003-3022 (ISSN-L)
- PMC
- PMC4346246
- OpenAlex
- W2137456793
- Cited by
- 426
- References
- 35
- Citations by year
- 2026: 21 · 2025: 29 · 2024: 30 · 2023: 25 · 2022: 40 · 2021: 41 · 2020: 32 · 2019: 36 · 2018: 34 · 2017: 38 · 2016: 29 · 2015: 31 · 2014: 29 · 2013: 10
- FWCI
- 42.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Anesthesiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM098578)
- National Center for Research Resources (UL1RR024986)
- Topics
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Sedative Agents
- Life Sciences › Neuroscience › Developmental Neuroscience › Anesthesia and Neurotoxicity Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- ketamine, propofol, sevoflurane, frontoparietal connectivity, feedback connectivity, feedforward connectivity, directional connectivity, symbolic transfer entropy, anesthesia induction, loss of consciousness, alpha power, gamma power, general anesthesia
- MeSH terms
- Sevoflurane, Adult, Analgesics, Electroencephalography, Female, Frontal Lobe, Humans, Ketamine, Male, Methyl Ethers, Middle Aged, Parietal Lobe, Propofol, Anesthetics, Inhalation, Anesthetics, Intravenous, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review