Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
BMC Anesthesiology
Published in: BMC Anesthesiology 1/2023

Open Access 01-12-2023 | Isoflurane | Research

Dose-related adaptive reconstruction of DMN in isoflurane administration: a study in the rat

Authors: Fengru Guo, Yuqin Li, Zhaoxin Jian, Yan Cui, Wenhui Gong, Airui Li, Wei Jing, Peng Xu, Ke Chen, Daqing Guo, Dezhong Yao, Yang Xia

Published in: BMC Anesthesiology | Issue 1/2023

Login to get access

Abstract

Background

The anesthetic states are accompanied by functional alterations. However, the dose-related adaptive alterations in the higher-order network under anesthesia, e. g. default mode network (DMN), are poorly revealed.

Methods

We implanted electrodes in brain regions of the rat DMN to acquire local field potentials to investigate the perturbations produced by anesthesia. Relative power spectral density, static functional connectivity (FC), fuzzy entropy of dynamic FC, and topological features were computed from the data.

Results

The results showed that adaptive reconstruction was induced by isoflurane, exhibiting reduced static and stable long-range FC, and altered topological features. These reconstruction patterns were in a dose-related fashion.

Conclusion

These results might impart insights into the neural network mechanisms underlying anesthesia and suggest the potential of monitoring the depth of anesthesia based on the parameters of DMN.
Appendix
Available only for authorised users
Literature
1.
Michael T, Alkire AGH. Giulio Tononi: Consciousness and Anesthesia. Science. 2008;322:876–80.CrossRef
2.
Kent CD, Mashour GA, Metzger NA, Posner KL, Domino KB. Psychological impact of unexpected explicit recall of events occurring during surgery performed under sedation, regional anaesthesia, and general anaesthesia: data from the Anesthesia Awareness Registry. Br J Anaesth. 2013;110(3):381–7.PubMedCrossRef
3.
4.
Giraldo JC, Acosta C, Giraldo-Grueso M. Frequency of anesthetic overdose with mean alveolar concentration-guided anesthesia at high altitude. Med Gas Res. 2018;8(4):150–3.PubMedCrossRef
5.
Li G, Warner M, Lang BH, Huang L, Sun LS. Epidemiology of anesthesia-related mortality in the United States, 1999–2005. Anesthesiology. 2009;110(4):759–65.PubMedCrossRef
6.
Vijayakrishnan Nair V, Kish BR, Yang HS, Yu Z, Guo H, Tong Y, Liang Z. Monitoring anesthesia using simultaneous functional Near Infrared Spectroscopy and Electroencephalography. Clin Neurophysiol. 2021;132(7):1636–46.PubMedCrossRef
7.
Franks NP. General anaesthesia: from molecular targets to neuronal pathways of sleep and arousal. Nat Rev Neurosci. 2008;9(5):370–86.PubMedCrossRef
8.
Lee U, Mashour GA. Role of Network Science in the Study of Anesthetic State Transitions. Anesthesiology. 2018;129(5):1029–44.PubMedCrossRef
9.
Pal D, Silverstein BH, Lee H, Mashour GA. Neural Correlates of Wakefulness, Sleep, and General Anesthesia: An Experimental Study in Rat. Anesthesiology. 2016;125(5):929–42.PubMedCrossRef
10.
11.
Ranft A, Golkowski D, Kiel T, Riedl V, Kohl P, Rohrer G, Pientka J, Berger S, Thul A, Maurer M, et al. Neural Correlates of Sevoflurane-induced Unconsciousness Identified by Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography. Anesthesiology. 2016;125(5):861–72.PubMedCrossRef
12.
13.
Greicius MD, Kiviniemi V, Tervonen O, Vainionpaa V, Alahuhta S, Reiss AL, Menon V. Persistent default-mode network connectivity during light sedation. Hum Brain Mapp. 2008;29(7):839–47.PubMedPubMedCentralCrossRef
14.
Stenroos P, Pirttimaki T, Paasonen J, Paasonen E, Salo RA, Koivisto H, Natunen T, Makinen P, Kuulasmaa T, Hiltunen M, et al. Isoflurane affects brain functional connectivity in rats 1 month after exposure. Neuroimage. 2021;234: 117987.PubMedCrossRef
15.
Palanca BJ, Mitra A, Larson-Prior L, Snyder AZ, Avidan MS, Raichle ME. Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness. Anesthesiology. 2015;123(2):346–56.PubMedCrossRef
16.
Lu HB, Zou QH, Gu H, Raichle ME, Stein EA, Yang YH. Rat brains also have a default mode network. P Natl Acad Sci USA. 2012;109(10):3979–84.CrossRef
17.
Gusnard DA, Akbudak E, Shulman GL, Raichle ME. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci U S A. 2001;98(7):4259–64.PubMedPubMedCentralCrossRef
18.
19.
Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 2008;1124:1–38.PubMedCrossRef
20.
Binder JR, Frost JA, Hammeke TA, Bellgowan PS, Rao SM, Cox RW. Conceptual processing during the conscious resting state. A functional MRI study. J Cogn Neurosci. 1999;11(1):80–95.PubMedCrossRef
21.
Vincent JL, Patel GH, Fox MD, Snyder AZ, Baker JT, Van Essen DC, Zempel JM, Snyder LH, Corbetta M, Raichle ME. Intrinsic functional architecture in the anaesthetized monkey brain. Nature. 2007;447(7140):83–6.PubMedCrossRef
22.
Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004;134(1):9–21.PubMedCrossRef
23.
Jing W, Xia Y, Li M, Cui Y, Chen M, Xue M, Guo D, Biswal BB, Yao D. State-independent and state-dependent patterns in the rat default mode network. Neuroimage. 2021;237: 118148.PubMedCrossRef
24.
Buzsaki G, Draguhn A. Neuronal oscillations in cortical networks. Science. 2004;304(5679):1926–9.PubMedCrossRef
25.
Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn Sci. 2005;9(10):474–80.PubMedCrossRef
26.
Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E: Fast unfolding of communities in large networks. J Stat Mech-Theory E 2008, 2008(P10008).
27.
Luppi AI, Craig MM, Pappas I, Finoia P, Williams GB, Allanson J, Pickard JD, Owen AM, Naci L, Menon DK, et al. Consciousness-specific dynamic interactions of brain integration and functional diversity. Nat Commun. 2019;10(1):4616.PubMedPubMedCentralCrossRef
28.
Acharya UR, Fujita H, Sudarshan VK, Bhat S, Koh JEW. Application of entropies for automated diagnosis of epilepsy using EEG signals: A review. Knowl-Based Syst. 2015;88:85–96.CrossRef
29.
Chen WT, Zhuang J, Yu WX, Wang ZZ. Measuring complexity using FuzzyEn, ApEn, and SampEn. Med Eng Phys. 2009;31(1):61–8.PubMedCrossRef
30.
Takeuchi Y, Nagy AJ, Barcsai L, Li Q, Ohsawa M, Mizuseki K, Berenyi A. The Medial Septum as a Potential Target for Treating Brain Disorders Associated With Oscillopathies. Front Neural Circuits. 2021;15: 701080.PubMedPubMedCentralCrossRef
31.
Chen W, Wang Z, Xie H, Yu W. Characterization of surface EMG signal based on fuzzy entropy. IEEE Trans Neural Syst Rehabil Eng. 2007;15(2):266–72.PubMedCrossRef
32.
Li F, Jiang L, Liao Y, Si Y, Yi C, Zhang Y, Zhu X, Yang Z, Yao D, Cao Z et al: Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study. J Neural Eng 2021, 18(4).
33.
Daws RE, Timmermann C, Giribaldi B, Sexton JD, Wall MB, Erritzoe D, Roseman L, Nutt D, Carhart-Harris R. Increased global integration in the brain after psilocybin therapy for depression. Nat Med. 2022;28(4):844–51.PubMedCrossRef
34.
Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E: Fast unfolding of communities in large networks. J Stat Mech-Theory E 2008.
35.
Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010;52(3):1059–69.PubMedCrossRef
36.
Mashour GA. Cognitive unbinding: A neuroscientific paradigm of general anesthesia and related states of unconsciousness. Neurosci Biobehav R. 2013;37(10):2751–9.CrossRef
37.
Schwender D, Daunderer M, Klasing S, Finsterer U, Peter K. Power spectral analysis of the electroencephalogram during increasing end-expiratory concentrations of isoflurane, desflurane and sevoflurane. Anaesthesia. 1998;53(4):335–42.PubMedCrossRef
38.
Doi M, Ikeda K. Airway irritation produced by volatile anaesthetics during brief inhalation: comparison of halothane, enflurane, isoflurane and sevoflurane. Can J Anaesth. 1993;3(2):122–6.CrossRef
39.
Bruhn J, Ropcke H, Rehberg B, Bouillon T, Hoeft A. Electroencephalogram Approximate Entropy Correctly Classifies the Occurrence of Burst Suppression Pattern as Increasing Anesthetic Drug Effect. Anesthesiology. 2000;93(4):981–5.PubMedCrossRef
40.
Kreuer S, Bruhn J, Larsen R, Grundmann U, Shafer SL, Wilhelm W. Application of Bispectral Index and Narcotrend index to the measurement of the electroencephalographic effects of isoflurane with and without burst suppression. Anesthesiology. 2004;101(4):847–54.PubMedCrossRef
41.
Kato K, Wakai J, Ozawa K, Sekiguchi M, Katahira K. Different sensitivity to the suppressive effects of isoflurane anesthesia on cardiorespiratory function in SHR/Izm, WKY/Izm, and Crl:CD (SD) rats. Exp Anim. 2016;65(4):393–402.PubMedPubMedCentralCrossRef
42.
Hambrecht-Wiedbusch VS, Li D, Mashour GA. Paradoxical Emergence: Administration of Subanesthetic Ketamine during Isoflurane Anesthesia Induces Burst Suppression but Accelerates Recovery. Anesthesiology. 2017;126(3):482–94.PubMedCrossRef
43.
Brown PL, Zanos P, Wang L, Elmer GI, Gould TD, Shepard PD. Isoflurane but Not Halothane Prevents and Reverses Helpless Behavior: A Role for EEG Burst Suppression? Int J Neuropsychopharmacol. 2018;21(8):777–85.PubMedPubMedCentralCrossRef
44.
Galloway DS, Ko JCH, Reaugh HF, Mandsager RE, Payton ME, Inoue T, Portillo E. Anesthetic indices of sevoflurane and isoflurane in unpremedicated dogs. J Am Vet Med Assoc. 2004;225(5):700–4.PubMedCrossRef
45.
Sousa JR, Ribeiro L, Silva A, Ferreira DA. Evaluation of the Cerebral State Index in Cats under Isoflurane Anaesthesia: Dose-Effect Relationship and Prediction of Clinical Signs. Vet Med Int. 2014;2014: 481460.PubMedPubMedCentralCrossRef
46.
Goelz MF, Hahn AW, Kelley ST. Effects of halothane and isoflurane on mean arterial blood pressure, heart rate, and respiratory rate in adult Pekin ducks. Am J Vet Res. 1990;51(3):458–60.PubMedCrossRef
47.
Cui Y, Yu S, Zhang T, Zhang Y, Xia Y, Yao D, Guo D. Altered activity and information flow in the default mode network of pilocarpine-induced epilepsy rats. Brain Res. 2018;1696:71–80.PubMedCrossRef
48.
Ishioka Y, Sugino S, Hayase T, Janicki PK. Intraoperative auditory evoked potential recordings are more reliable at signal detection from different sensor sites on the forehead compared to bispectral index. J Clin Monit Comput. 2017;31(1):117–22.PubMedCrossRef
49.
Avidan MS, Jacobsohn E, Glick D, Burnside BA, Zhang L, Villafranca A, Karl L, Kamal S, Torres B, O’Connor M, et al. Prevention of intraoperative awareness in a high-risk surgical population. N Engl J Med. 2011;365(7):591–600.PubMedCrossRef
50.
Leslie K, Myles PS, Forbes A, Chan MT. The effect of bispectral index monitoring on long-term survival in the B-aware trial. Anesth Analg. 2010;110(3):816–22.PubMedCrossRef
51.
Drummond JC. Monitoring depth of anesthesia: with emphasis on the application of the bispectral index and the middle latency auditory evoked response to the prevention of recall. Anesthesiology. 2000;93(3):876–82.PubMedCrossRef
52.
Hutchison RM, Hutchison M, Manning KY, Menon RS, Everling S. Isoflurane induces dose-dependent alterations in the cortical connectivity profiles and dynamic properties of the brain’s functional architecture. Hum Brain Mapp. 2014;35(12):5754–75.PubMedPubMedCentralCrossRef
53.
Hutt A: Sleep and anesthesia : neural correlates in theory and experiment. In: Springer series in computational neuroscience v 15. New York: Springer,; 2011: 1 online resource (xv, 258 pages).
Metadata
Title
Dose-related adaptive reconstruction of DMN in isoflurane administration: a study in the rat
Authors
Fengru Guo
Yuqin Li
Zhaoxin Jian
Yan Cui
Wenhui Gong
Airui Li
Wei Jing
Peng Xu
Ke Chen
Daqing Guo
Dezhong Yao
Yang Xia
Publication date
01-12-2023
Publisher
BioMed Central
Keyword
Isoflurane
Published in
BMC Anesthesiology / Issue 1/2023
Electronic ISSN: 1471-2253
DOI
https://doi.org/10.1186/s12871-023-02153-6

Other articles of this Issue 1/2023

BMC Anesthesiology 1/2023 Go to the issue

Research

Errors in pressure measurements due to changes in pressure transducer levels during adult cardiac surgery: a prospective observational study

Research

Dexamethasone inhibits IL-8 via glycolysis and mitochondria-related pathway to regulate inflammatory pain

Research

The effect of body mass index on thoracic paravertebral block analgesia after video-assisted thoracoscopic surgery; a prospective interventional study

Research

Complications and related risk factors of transradial access cannulation for hemodynamic monitoring in general surgery: a prospective observational study

Research

Association between short-term systemic use of glucocorticoids and prognosis of cardiogenic shock: a retrospective analysis

Research

Comparison of the hemodynamic changes between preeclamptic and normotensive parturients who underwent cesarean section under spinal anesthesia at North Showa zone public hospitals, Oromia region, Ethiopia, 2022: a prospective cohort study