The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Resting-state Network-specific Breakdown of Functional Connectivity during Ketamine Alteration of Consciousness in Volunteers
Open accessAbstract
Background: Consciousness-altering anesthetic agents disturb connectivity between brain regions composing the resting-state consciousness networks (RSNs). The default mode network (DMn), executive control network, salience network (SALn), auditory network, sensorimotor network (SMn), and visual network sustain mentation. Ketamine modifies consciousness differently from other agents, producing psychedelic dreaming and no apparent interaction with the environment. The authors used functional magnetic resonance imaging to explore ketamine-induced changes in RSNs connectivity. Methods: Fourteen healthy volunteers received stepwise intravenous infusions of ketamine up to loss of responsiveness. Because of agitation, data from six subjects were excluded from analysis. RSNs connectivity was compared between absence of ketamine (wake state [W1]), light ketamine sedation, and ketamine-induced unresponsiveness (deep sedation [S2]). Results: Increasing the depth of ketamine sedation from W1 to S2 altered DMn and SALn connectivity and suppressed the anticorrelated activity between DMn and other brain regions. During S2, DMn connectivity, particularly between the medial prefrontal cortex and the remaining network (effect size β [95% CI]: W1 = 0.20 [0.18 to 0.22]; S2 = 0.07 [0.04 to 0.09]), and DMn anticorrelated activity ( e.g. , right sensory cortex: W1 = −0.07 [−0.09 to −0.04]; S2 = 0.04 [0.01 to 0.06]) were broken down. SALn connectivity was nonuniformly suppressed ( e.g. , left parietal operculum: W1 = 0.08 [0.06 to 0.09]; S2 = 0.05 [0.02 to 0.07]). Executive control networks, auditory network, SMn, and visual network were minimally affected. Conclusions: Ketamine induces specific changes in connectivity within and between RSNs. Breakdown of frontoparietal DMn connectivity and DMn anticorrelation and sensory and SMn connectivity preservation are common to ketamine and propofol-induced alterations of consciousness.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Based on fMRI, functional disconnections of frontal-parietal networks have been shown during general anesthesia in humans induced by structurally and pharmacologically diverse agents, including the volatile anesthetic sevoflurane [131, 139–141]”
From The Biology of General Anesthesia from Paramecium to Primate (2019) · cites this paper as [139]
Citations
Cites
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Controlled Sedation with Alphaxalone-Alphadolone
Ramsay, M. A. E., Savege, T. M., Simpson, B. R. J., & Goodwin, R. (1974) · BMJ · doi:10.1136/bmj.2.5920.656 · Cited by 2,860
The integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530
fMRI resting state networks define distinct modes of long-distance interactions in the human brain
De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.035 · Cited by 1,241
Behavioral interpretations of intrinsic connectivity networks
Laird, A. R., Fox, P. M., Eickhoff, S. B., Turner, J. A., Ray, K. L., McKay, D. R., Glahn, D. C., Beckmann, C. F., Smith, S. M., & Fox, P. T. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00077 · Cited by 1,023
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 1,011
Research works printed but not linked: 1
- 2007, Dissociable intrinsic connectivity networks for salience processing and executive control., J Neurosci, 27, 2349, 10.1523/JNEUROSCI.5587-06.2007 · DOI · Paper page
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
“29 by fMRI to functionally disconnect prefrontal cortex and posterior parietal cortices (such as the precuneus) in humans (Bonhomme et al., 2016; Boveroux et al., 2010; Palanca et al., 2015).”
BackgroundDelirium pathophysiology: An updated hypothesis of the etiology of acute brain failure
Maldonado, J. R. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4823 · Cited by 617
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
Consciousness-specific dynamic interactions of brain integration and functional diversity
Luppi, A. I., Craig, M. M., Pappas, I., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Owen, A. M., Naci, L., Menon, D. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12658-9 · Cited by 251
Towards a comprehensive understanding of anesthetic mechanisms of action: a decade of discovery
Hemmings, H. C., Riegelhaupt, P. M., Kelz, M. B., Solt, K., Eckenhoff, R. G., Orser, B. A., & Goldstein, P. A. (2019) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2019.05.001 · Cited by 244
Default Mode Network Modulation by Psychedelics: A Systematic Review
Gattuso, J. J., Perkins, D., Ruffell, S., Lawrence, A. J., Hoyer, D., Jacobson, L. H., Timmermann, C., Castle, D., Rossell, S. L., Downey, L. A., et al. (2023) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac074 · Cited by 256
Temporal circuit of macroscale dynamic brain activity supports human consciousness
Huang, Z., Zhang, J., Wu, J., Mashour, G. A., & Hudetz, A. G. (2020) · Science Advances · doi:10.1126/sciadv.aaz0087 · Cited by 217
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
Ketamine for the treatment of addiction: evidence and potential mechanisms
Ivan Ezquerra-Romano, I., Lawn, W., Krupitsky, E., & Morgan, C. J. A. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.017 · Cited by 163
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
Resting-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
Mashour, G. A., & Hudetz, A. G. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00044 · Cited by 133
Anesthesia and the neurobiology of consciousness
Mashour, G. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.03.002 · Cited by 127
Kadriu, B., Greenwald, M., Henter, I. D., Gilbert, J. R., Kraus, C., Park, L. T., & Zarate, C. A. (2021) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaa087 · Cited by 99
Ketamine-Associated Brain Changes: A Review of the Neuroimaging Literature
Ionescu, D. F., Felicione, J. M., Gosai, A., Cusin, C., Shin, P., Shapero, B. G., & Deckersbach, T. (2018) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000179 · Cited by 91
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
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
(2020) · Advances in Pharmacology · doi:10.1016/bs.apha.2020.04.003 · Cited by 18
Highways of the brain, traffic of the mind
Mashour, G. A. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002385 · Cited by 7
From psychache to neuroplasticity: A unified rescue-repair model of Ketamine’s anti-suicidal action
Domany, Y., & Solomon-Shashua, A. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106804 · Cited by 2
Metadata
- Authors
- Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Bruno, M.-A., Jaquet, O., Bahri, M. A., Plenevaux, A., Boly, M., Boveroux, P., Soddu, A., Brichant, J. F., Maquet, P., & Laureys, S.
- Affiliations
- Western University (CA)
- University of Liège (BE)
- Corresponding author
- Bonhomme, Vincent
- ORCID
- Venue
- Anesthesiology
- Published
- 2016-11
- Volume
- 125
- Issue
- 5
- Pages
- 873-888
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W2518058704
- Cited by
- 207
- References
- 47
- Citations by year
- 2026: 20 · 2025: 18 · 2024: 23 · 2023: 15 · 2022: 18 · 2021: 24 · 2020: 23 · 2019: 24 · 2018: 22 · 2017: 14 · 2016: 6
- FWCI
- 14.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Anesthesiology (publishedVersion)
- PubMed (publishedVersion)
- Scholarship@Western (Western University) (publishedVersion, cc-by-nc-nd)
- Scholarship@Western (Western University) (submittedVersion, cc-by-nc-nd)
- Open Repository and Bibliography (University of Liège) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Sedative Agents
- Social Sciences › Psychology › Clinical Psychology › Psychedelics and Drug Studies
- Keywords
- ketamine, altered states of consciousness, resting-state networks, functional connectivity, default mode network, salience network, frontoparietal network, sensorimotor network, auditory network, visual network, propofol, medial prefrontal cortex, frontoparietal connectivity
- MeSH terms
- Adult, Anesthetics, Dissociative, Brain, Consciousness, Female, Humans, Image Processing, Computer-Assisted, Ketamine, Magnetic Resonance Imaging, Male, Nerve Net, Reference Values, Rest, 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
