Literature DB >> 27496657

Resting-state Network-specific Breakdown of Functional Connectivity during Ketamine Alteration of Consciousness in Volunteers.

Vincent Bonhomme1, Audrey Vanhaudenhuyse, Athena Demertzi, Marie-Aurélie Bruno, Oceane Jaquet, Mohamed Ali Bahri, Alain Plenevaux, Melanie Boly, Pierre Boveroux, Andrea Soddu, Jean François Brichant, Pierre Maquet, Steven Laureys.   

Abstract

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.

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Year:  2016        PMID: 27496657     DOI: 10.1097/ALN.0000000000001275

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  62 in total

1.  Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness.

Authors:  Thomas Thiery; Tarek Lajnef; Etienne Combrisson; Arthur Dehgan; Pierre Rainville; George A Mashour; Stefanie Blain-Moraes; Karim Jerbi
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

Review 2.  Neural Correlates of Unconsciousness in Large-Scale Brain Networks.

Authors:  George A Mashour; Anthony G Hudetz
Journal:  Trends Neurosci       Date:  2018-02-03       Impact factor: 13.837

3.  Lucy in the sky with ketamine: Psychoactive drugs have potential for a major breakthrough in treating depression.

Authors:  Katrin Weigmann
Journal:  EMBO Rep       Date:  2018-10-15       Impact factor: 8.807

4.  Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients.

Authors:  Phillip E Vlisides; Duan Li; Mackenzie Zierau; Andrew P Lapointe; Ka I Ip; Amy M McKinney; George A Mashour
Journal:  Anesthesiology       Date:  2019-06       Impact factor: 7.892

5.  [Drugs for intravenous induction of anesthesia: ketamine, midazolam and synopsis of current hypnotics].

Authors:  E Halbeck; C Dumps; D Bolkenius
Journal:  Anaesthesist       Date:  2018-08       Impact factor: 1.041

6.  Dexmedetomidine Disrupts the Local and Global Efficiencies of Large-scale Brain Networks.

Authors:  Javeria A Hashmi; Marco L Loggia; Sheraz Khan; Lei Gao; Jieun Kim; Vitaly Napadow; Emery N Brown; Oluwaseun Akeju
Journal:  Anesthesiology       Date:  2017-03       Impact factor: 7.892

7.  Network-level Mechanisms of Ketamine Anesthesia.

Authors:  George A Mashour
Journal:  Anesthesiology       Date:  2016-11       Impact factor: 7.892

8.  Resting-state functional connectivity in early postanaesthesia recovery is characterised by globally reduced anticorrelations.

Authors:  Tommer Nir; Yael Jacob; Kuang-Han Huang; Arthur E Schwartz; Jess W Brallier; Helen Ahn; Prantik Kundu; Cheuk Y Tang; Bradley N Delman; Patrick J McCormick; Mary Sano; Stacie Deiner; Mark G Baxter; Joshua S Mincer
Journal:  Br J Anaesth       Date:  2020-08-14       Impact factor: 9.166

Review 9.  Human neural correlates of sevoflurane-induced unconsciousness.

Authors:  B J A Palanca; M S Avidan; G A Mashour
Journal:  Br J Anaesth       Date:  2017-10-01       Impact factor: 9.166

Review 10.  Role of Network Science in the Study of Anesthetic State Transitions.

Authors:  UnCheol Lee; George A Mashour
Journal:  Anesthesiology       Date:  2018-11       Impact factor: 7.892

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