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McKinstry-Wu AR, Kelz MB. One node among many: sevoflurane-induced hypnosis and the challenge of an integrative network-level view of anaesthetic action. Br J Anaesth 2024; 132:220-223. [PMID: 38000931 DOI: 10.1016/j.bja.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
Building on their known ability to influence sleep and arousal, Li and colleagues show that modulating the activity of glutamatergic pedunculopontine tegmental neurones also alters sevoflurane-induced hypnosis. This finding adds support for the shared sleep-anaesthesia circuit hypothesis. However, the expanding recognition of many neuronal clusters capable of modulating anaesthetic hypnosis raises the question of how disparate and anatomically distant sites ultimately interact to coordinate global changes in the state of the brain. Understanding how these individual sites work in concert to disrupt cognition and behaviour is the next challenge for anaesthetic mechanisms research.
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Affiliation(s)
- Andrew R McKinstry-Wu
- Department of Anaesthesiology and Critical Care, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Center for Neuroscience of Unconsciousness and Reanimation Research Alliance, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Max B Kelz
- Department of Anaesthesiology and Critical Care, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Center for Neuroscience of Unconsciousness and Reanimation Research Alliance, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Mahoney Institute of Neuroscience, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
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2
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McKinstry-Wu AR, Wasilczuk AZ, Dailey WP, Eckenhoff RG, Kelz MB. In Vivo Photoadduction of Anesthetic Ligands in Mouse Brain Markedly Extends Sedation and Hypnosis. J Neurosci 2023; 43:2338-2348. [PMID: 36849414 PMCID: PMC10072292 DOI: 10.1523/jneurosci.1884-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 03/01/2023] Open
Abstract
Photoaffinity ligands are best known as tools used to identify the specific binding sites of drugs to their molecular targets. However, photoaffinity ligands have the potential to further define critical neuroanatomic targets of drug action. In the brains of WT male mice, we demonstrate the feasibility of using photoaffinity ligands in vivo to prolong anesthesia via targeted yet spatially restricted photoadduction of azi-m-propofol (aziPm), a photoreactive analog of the general anesthetic propofol. Systemic administration of aziPm with bilateral near-ultraviolet photoadduction in the rostral pons, at the border of the parabrachial nucleus and locus coeruleus, produced a 20-fold increase in the duration of sedative and hypnotic effects compared with control mice without UV illumination. Photoadduction that missed the parabrachial-coerulean complex also failed to extend the sedative or hypnotic actions of aziPm and was indistinguishable from nonadducted controls. Paralleling the prolonged behavioral and EEG consequences of on target in vivo photoadduction, we conducted electrophysiologic recordings in rostral pontine brain slices. Using neurons within the locus coeruleus to further highlight the cellular consequences of irreversible aziPm binding, we demonstrate transient slowing of spontaneous action potentials with a brief bath application of aziPm that becomes irreversible on photoadduction. Together, these findings suggest that photochemistry-based strategies are a viable new approach for probing CNS physiology and pathophysiology.SIGNIFICANCE STATEMENT Photoaffinity ligands are drugs capable of light-induced irreversible binding, which have unexploited potential to identify the neuroanatomic sites of drug action. We systemically administer a centrally acting anesthetic photoaffinity ligand in mice, conduct localized photoillumination within the brain to covalently adduct the drug at its in vivo sites of action, and successfully enrich irreversible drug binding within a restricted 250 µm radius. When photoadduction encompassed the pontine parabrachial-coerulean complex, anesthetic sedation and hypnosis was prolonged 20-fold, thus illustrating the power of in vivo photochemistry to help unravel neuronal mechanisms of drug action.
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Affiliation(s)
- Andrew R McKinstry-Wu
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Philadelphia 19104
- Neuroscience of Unconsciousness and Reanimation Research Alliance, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Philadelphia 19104
| | - Andrzej Z Wasilczuk
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Philadelphia 19104
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Philadelphia 19104
- Neuroscience of Unconsciousness and Reanimation Research Alliance, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Philadelphia 19104
| | - William P Dailey
- Department of Chemistry, University of Pennsylvania School of Arts and Sciences, Philadelphia, Pennsylvania 19104
| | - Roderic G Eckenhoff
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Philadelphia 19104
| | - Max B Kelz
- Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Philadelphia 19104
- Mahoney Institute for Neurosciences, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Philadelphia 19104
- Neuroscience of Unconsciousness and Reanimation Research Alliance, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Philadelphia 19104
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Wasilczuk AZ, Meng QC, McKinstry-Wu AR. Electroencephalographic Evidence for Individual Neural Inertia in Mice That Decreases With Time. Front Syst Neurosci 2022; 15:787612. [PMID: 35095434 PMCID: PMC8794956 DOI: 10.3389/fnsys.2021.787612] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/14/2021] [Indexed: 12/02/2022] Open
Abstract
Previous studies have demonstrated that the brain has an intrinsic resistance to changes in arousal state. This resistance is most easily measured at the population level in the setting of general anesthesia and has been termed neural inertia. To date, no study has attempted to determine neural inertia in individuals. We hypothesize that individuals with markedly increased or decreased neural inertia might be at increased risk for complications related to state transitions, from awareness under anesthesia, to delayed emergence or confusion/impairment after emergence. Hence, an improved theoretical and practical understanding of neural inertia may have the potential to identify individuals at increased risk for these complications. This study was designed to explicitly measure neural inertia in individuals and empirically test the stochastic model of neural inertia using spectral analysis of the murine EEG. EEG was measured after induction of and emergence from isoflurane administered near the EC50 dose for loss of righting in genetically inbred mice on a timescale that minimizes pharmacokinetic confounds. Neural inertia was assessed by employing classifiers constructed using linear discriminant or supervised machine learning methods to determine if features of EEG spectra reliably demonstrate path dependence at steady-state anesthesia. We also report the existence of neural inertia at the individual level, as well as the population level, and that neural inertia decreases over time, providing direct empirical evidence supporting the predictions of the stochastic model of neural inertia.
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Affiliation(s)
- Andrzej Z. Wasilczuk
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
| | - Qing Cheng Meng
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States
| | - Andrew R. McKinstry-Wu
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States
- *Correspondence: Andrew Rich McKinstry-Wu
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Mashour GA, Palanca BJA, Basner M, Li D, Wang W, Blain-Moraes S, Lin N, Maier K, Muench M, Tarnal V, Vanini G, Ochroch EA, Hogg R, Schwartz M, Maybrier H, Hardie R, Janke E, Golmirzaie G, Picton P, McKinstry-Wu AR, Avidan MS, Kelz MB. Recovery of consciousness and cognition after general anesthesia in humans. eLife 2021; 10:59525. [PMID: 33970101 PMCID: PMC8163502 DOI: 10.7554/elife.59525] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 05/06/2021] [Indexed: 12/13/2022] Open
Abstract
Understanding how the brain recovers from unconsciousness can inform neurobiological theories of consciousness and guide clinical investigation. To address this question, we conducted a multicenter study of 60 healthy humans, half of whom received general anesthesia for 3 hr and half of whom served as awake controls. We administered a battery of neurocognitive tests and recorded electroencephalography to assess cortical dynamics. We hypothesized that recovery of consciousness and cognition is an extended process, with differential recovery of cognitive functions that would commence with return of responsiveness and end with return of executive function, mediated by prefrontal cortex. We found that, just prior to the recovery of consciousness, frontal-parietal dynamics returned to baseline. Consistent with our hypothesis, cognitive reconstitution after anesthesia evolved over time. Contrary to our hypothesis, executive function returned first. Early engagement of prefrontal cortex in recovery of consciousness and cognition is consistent with global neuronal workspace theory.
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Affiliation(s)
- George A Mashour
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Ben JA Palanca
- Department of Anesthesiology, Washington University School of MedicineSt. LouisUnited States
| | - Mathias Basner
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Duan Li
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Wei Wang
- Department of Mathematics and Statistics, Washington UniversitySt. LouisUnited States
| | - Stefanie Blain-Moraes
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Nan Lin
- Department of Mathematics and Statistics, Washington UniversitySt. LouisUnited States
| | - Kaitlyn Maier
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Maxwell Muench
- Department of Anesthesiology, Washington University School of MedicineSt. LouisUnited States
| | - Vijay Tarnal
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Giancarlo Vanini
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - E Andrew Ochroch
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Rosemary Hogg
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Marlon Schwartz
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Hannah Maybrier
- Department of Anesthesiology, Washington University School of MedicineSt. LouisUnited States
| | - Randall Hardie
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Ellen Janke
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Goodarz Golmirzaie
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Paul Picton
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan Medical SchoolAnn ArborUnited States
| | - Andrew R McKinstry-Wu
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Michael S Avidan
- Department of Anesthesiology, Washington University School of MedicineSt. LouisUnited States
| | - Max B Kelz
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
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McKinstry-Wu AR, Wasilczuk AZ, Harrison BA, Bedell VM, Sridharan MJ, Breig JJ, Pack M, Kelz MB, Proekt A. Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia. eLife 2019; 8:50143. [PMID: 31793434 PMCID: PMC6890463 DOI: 10.7554/elife.50143] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 10/29/2019] [Indexed: 12/24/2022] Open
Abstract
Traditionally, drug dosing is based on a concentration-response relationship estimated in a population. Yet, in specific individuals, decisions based on the population-level effects frequently result in over or under-dosing. Here, we interrogate the relationship between population-based and individual-based responses to anesthetics in mice and zebrafish. The anesthetic state was assessed by quantifying responses to simple stimuli. Individual responses dynamically fluctuated at a fixed drug concentration. These fluctuations exhibited resistance to state transitions. Drug sensitivity varied dramatically across individuals in both species. The amount of noise driving transitions between states, in contrast, was highly conserved in vertebrates separated by 400 million years of evolution. Individual differences in anesthetic sensitivity and stochastic fluctuations in responsiveness complicate the ability to appropriately dose anesthetics to each individual. Identifying the biological substrate of noise, however, may spur novel therapies, assure consistent drug responses, and encourage the shift from population-based to personalized medicine. Every year, millions of patients undergo general anesthesia for complex or life-saving surgeries. In the vast majority of cases, the drugs work as intended. But a minority of patients take longer than expected to regain consciousness after anesthetic, and a few wake up during the surgery itself. It is unclear what causes these unintended events. When choosing an anesthetic dose for each patient, physicians rely on data from large clinical studies. These studies expose many patients to different doses of an anesthetic drug. At higher doses, fewer and fewer patients remain conscious. This enables physicians to identify the dose at which an average person will lose consciousness. But this approach ignores the difference between the response of an individual and that of the population as a whole. At the population level, the likelihood of a patient being awake decreases smoothly as the concentration of anesthetic increases. But within that population, each individual patient can only ever show a binary response: awake or not awake. To compare anesthetic effects on individuals versus populations, McKinstry-Wu, Wasilczuk et al. exposed mice to a commonly used anesthetic called isoflurane. During prolonged exposure to a constant dose of the drug, each mouse was sometimes unconscious and sometimes awake. These fluctuations in responsiveness seemed to occur at random. Exposing zebrafish to propofol, an anesthetic that works via a different mechanism, had a similar effect. Notably, the responses of both species to anesthesia showed a phenomenon known as inertia. If an individual was unresponsive at one point in time, they were likely to still be unresponsive when assessed again after three minutes. The amount of inertia was similar in mice and zebrafish. This suggests that the mechanism responsible for inertia has remained unchanged over more than 400 million years of evolution. The results reveal similarities between how individuals respond to anesthetics and how individual anesthetic molecules act on cells. When a molecule binds to its receptor protein on a cell, the receptor fluctuates spontaneously between active and inactive states. Studying how individuals respond to drugs could thus provide clues to how the drugs themselves work. Future studies should explore the biological basis of fluctuations in anesthetic responses. Understanding how these arise will help us tailor anesthetics to individual patients.
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Affiliation(s)
- Andrew R McKinstry-Wu
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States
| | - Andrzej Z Wasilczuk
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.,Department of Bioengineering, University of Pennsylvania, Philadelphia, United States
| | - Benjamin A Harrison
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States
| | - Victoria M Bedell
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States
| | | | - Jayce J Breig
- Department of Medicine, Drexel University College of Medicine, Philadelphia, United States
| | - Michael Pack
- Department of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Max B Kelz
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.,Department of Bioengineering, University of Pennsylvania, Philadelphia, United States
| | - Alexander Proekt
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States
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McKinstry-Wu AR, Woll KA, Joseph TT, Bu W, White ER, Bhanu NV, Garcia BA, Brannigan G, Dailey WP, Eckenhoff RG. Azi-medetomidine: Synthesis and Characterization of a Novel α2 Adrenergic Photoaffinity Ligand. ACS Chem Neurosci 2019; 10:4716-4728. [PMID: 31638765 DOI: 10.1021/acschemneuro.9b00484] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Agonists at the α2 adrenergic receptor produce sedation, increase focus, provide analgesia, and induce centrally mediated hypotension and bradycardia, yet neither their dynamic interactions with adrenergic receptors nor their modulation of neuronal circuit activity is completely understood. Photoaffinity ligands of α2 adrenergic agonists have the potential both to capture discrete moments of ligand-receptor interactions and to prolong naturalistic drug effects in discrete regions of tissue in vivo. We present here the synthesis and characterization of a novel α2 adrenergic agonist photolabel based on the imidazole medetomidine called azi-medetomidine. Azi-medetomidine shares protein association characteristics with its parent compound in experimental model systems and by molecular dynamics simulation of interactions with the α2A adrenergic receptor. Azi-medetomidine acts as an agonist at α2A adrenergic receptors, and produces hypnosis in Xenopus laevis tadpoles. Azi-medetomidine competes with the α2 agonist clonidine at α2A adrenergic receptors, which is potentiated by photolabeling, and azi-medetomidine labels moieties on the α2A adrenergic receptor as determined by mass spectrometry in a manner consistent with a simulated model. This novel α2 adrenergic agonist photolabel can serve as a powerful tool for in vitro and in vivo investigations of adrenergic signaling.
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Affiliation(s)
- Andrew R. McKinstry-Wu
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
| | - Kellie A. Woll
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
| | - Thomas T. Joseph
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
| | - Weiming Bu
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
| | - E. Railey White
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
| | - Natarajan V. Bhanu
- Epigenetics Institute, Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Benjamin A. Garcia
- Epigenetics Institute, Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Grace Brannigan
- Center for Computational and Integrative Biology, Department of Physics, Rutgers University, Camden, New Jersey 08102, United States
| | - William P. Dailey
- Department of Chemistry, University of Pennsylvania School of Arts and Sciences, 231 S. 34th Street, Philadelphia, Pennsylvania 19104, United States
| | - Roderic G. Eckenhoff
- Department of Anesthesiology & Critical Care, University of Pennsylvania Perelman School of Medicine, 3620 Hamilton Walk, Philadelphia, Pennsylvania 19104, United States
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7
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Shortal BP, Hickman LB, Mak-McCully RA, Wang W, Brennan C, Ung H, Litt B, Tarnal V, Janke E, Picton P, Blain-Moraes S, Maybrier HR, Muench MR, Lin N, Avidan MS, Mashour GA, McKinstry-Wu AR, Kelz MB, Palanca BJ, Proekt A. Duration of EEG suppression does not predict recovery time or degree of cognitive impairment after general anaesthesia in human volunteers. Br J Anaesth 2019; 123:206-218. [PMID: 31202561 DOI: 10.1016/j.bja.2019.03.046] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 02/14/2019] [Accepted: 03/08/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Burst suppression occurs in the EEG during coma and under general anaesthesia. It has been assumed that burst suppression represents a deeper state of anaesthesia from which it is more difficult to recover. This has not been directly demonstrated, however. Here, we test this hypothesis directly by assessing relationships between EEG suppression in human volunteers and recovery of consciousness. METHODS We recorded the EEG of 27 healthy humans (nine women/18 men) anaesthetised with isoflurane 1.3 minimum alveolar concentration (MAC) for 3 h. Periods of EEG suppression and non-suppression were separated using principal component analysis of the spectrogram. After emergence, participants completed the digit symbol substitution test and the psychomotor vigilance test. RESULTS Volunteers demonstrated marked variability in multiple features of the suppressed EEG. In order to test the hypothesis that, for an individual subject, inclusion of features of suppression would improve accuracy of a model built to predict time of emergence, two types of models were constructed: one with a suppression-related feature included and one without. Contrary to our hypothesis, Akaike information criterion demonstrated that the addition of a suppression-related feature did not improve the ability of the model to predict time to emergence. Furthermore, the amounts of EEG suppression and decrements in cognitive task performance relative to pre-anaesthesia baseline were not significantly correlated. CONCLUSIONS These findings suggest that, in contrast to current assumptions, EEG suppression in and of itself is not an important determinant of recovery time or the degree of cognitive impairment upon emergence from anaesthesia in healthy adults.
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Affiliation(s)
- B P Shortal
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - L B Hickman
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - R A Mak-McCully
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - W Wang
- Department of Mathematics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - C Brennan
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - H Ung
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - B Litt
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - V Tarnal
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - E Janke
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - P Picton
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - S Blain-Moraes
- School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada
| | - H R Maybrier
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - M R Muench
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - N Lin
- Department of Mathematics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - M S Avidan
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - G A Mashour
- Center for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - A R McKinstry-Wu
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - M B Kelz
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - B J Palanca
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - A Proekt
- School of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada; Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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- Department of Anesthesiology and Critical Care, University of Pennsylvania, USA; Department of Anesthesiology, Washington University, St. Louis, MO, USA; Center for Consciousness Science, Department of Anesthesiology, Ann Arbor, MI, USA
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Maier KL, McKinstry-Wu AR, Palanca BJA, Tarnal V, Blain-Moraes S, Basner M, Avidan MS, Mashour GA, Kelz MB. Protocol for the Reconstructing Consciousness and Cognition (ReCCognition) Study. Front Hum Neurosci 2017; 11:284. [PMID: 28638328 PMCID: PMC5461274 DOI: 10.3389/fnhum.2017.00284] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 05/15/2017] [Indexed: 01/07/2023] Open
Abstract
Important scientific and clinical questions persist about general anesthesia despite the ubiquitous clinical use of anesthetic drugs in humans since their discovery. For example, it is not known how the brain reconstitutes consciousness and cognition after the profound functional perturbation of the anesthetized state, nor has a specific pattern of functional recovery been characterized. To date, there has been a lack of detailed investigation into rates of recovery and the potential orderly return of attention, sensorimotor function, memory, reasoning and logic, abstract thinking, and processing speed. Moreover, whether such neurobehavioral functions display an invariant sequence of return across individuals is similarly unknown. To address these questions, we designed a study of healthy volunteers undergoing general anesthesia with electroencephalography and serial testing of cognitive functions (NCT01911195). The aims of this study are to characterize the temporal patterns of neurobehavioral recovery over the first several hours following termination of a deep inhaled isoflurane general anesthetic and to identify common patterns of cognitive function recovery. Additionally, we will conduct spectral analysis and reconstruct functional networks from electroencephalographic data to identify any neural correlates (e.g., connectivity patterns, graph-theoretical variables) of cognitive recovery after the perturbation of general anesthesia. To accomplish these objectives, we will enroll a total of 60 consenting adults aged 20-40 across the three participating sites. Half of the study subjects will receive general anesthesia slowly titrated to loss of consciousness (LOC) with an intravenous infusion of propofol and thereafter be maintained for 3 h with 1.3 age adjusted minimum alveolar concentration of isoflurane, while the other half of subjects serves as awake controls to gauge effects of repeated neurobehavioral testing, spontaneous fatigue and endogenous rest-activity patterns.
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Affiliation(s)
- Kaitlyn L. Maier
- Department of Pharmacology, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States
| | - Andrew R. McKinstry-Wu
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States
| | - Ben Julian A. Palanca
- Department of Anesthesiology, Washington University School of Medicine, Washington University in St. LouisSt. Louis, MO, United States
| | - Vijay Tarnal
- Department of Anesthesiology, University of MichiganAnn Arbor, MI, United States
| | | | - Mathias Basner
- Department of Psychiatry, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States,Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States
| | - Michael S. Avidan
- Department of Anesthesiology, Washington University School of Medicine, Washington University in St. LouisSt. Louis, MO, United States
| | - George A. Mashour
- Department of Anesthesiology, University of MichiganAnn Arbor, MI, United States
| | - Max B. Kelz
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States,Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, United States,*Correspondence: Max B. Kelz
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9
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Wasilczuk AZ, Proekt A, Kelz MB, McKinstry-Wu AR. High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources. J Vis Exp 2016. [PMID: 27929470 PMCID: PMC5226321 DOI: 10.3791/54908] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Advanced electroencephalographic analysis techniques requiring high spatial resolution, including electrical source imaging and measures of network connectivity, are applicable to an expanding variety of questions in neuroscience. Performing these kinds of analyses in a rodent model requires higher electrode density than traditional screw electrodes can accomplish. While higher-density electroencephalographic montages for rodents exist, they are of limited availability to most researchers, are not robust enough for repeated experiments over an extended period of time, or are limited to use in anesthetized rodents.1-3 A proposed low-cost method for constructing a durable, high-count, transcranial electrode array, consisting of bilaterally implantable headpieces is investigated as a means to perform advanced electroencephalogram analyses in mice or rats. Procedures for headpiece fabrication and surgical implantation necessary to produce high signal to noise, low-impedance electroencephalographic and electromyographic signals are presented. While the methodology is useful in both rats and mice, this manuscript focuses on the more challenging implementation for the smaller mouse skull. Freely moving mice are only tethered to cables via a common adapter during recording. One version of this electrode system that includes 26 electroencephalographic channels and 4 electromyographic channels is described below.
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Affiliation(s)
- Andrzej Z Wasilczuk
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania
| | - Alexander Proekt
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania
| | - Max B Kelz
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania;
| | - Andrew R McKinstry-Wu
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania
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McKinstry-Wu AR, Kelz MB. Connectome. Anesth Analg 2013. [DOI: 10.1213/ane.0b013e3182a8af6a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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