Literature DB >> 33278146

Objective and graded calibration of recovery of consciousness in experimental models.

Diany P Calderon1, Nicholas D Schiff2.   

Abstract

PURPOSE OF REVIEW: Experimental preclinical models of recovery of consciousness (ROC) and anesthesia emergence are crucial for understanding the neuronal circuits restoring arousal during coma emergence. Such models can also potentially help to better understand how events during coma emergence facilitate or hinder recovery from brain injury. Here we provide an overview of current methods used to assess ROC/level of arousal in animal models. This exposes the need for objective approaches to calibrate arousal levels. We outline how correlation of measured behaviors and their reestablishment at multiple stages with cellular, local and broader neuronal networks, gives a fuller understanding of ROC. RECENT
FINDINGS: Animals emerging from diverse coma-like states share a dynamic process of cortical and behavioral recovery that reveals distinct states consistently sequenced from low-to-high arousal level and trackable in nonhuman primates and rodents. Neuronal activity modulation of layer V-pyramidal neurons and neuronal aggregates within the brainstem and thalamic nuclei play critical roles at specific stages to promote restoration of a conscious state.
SUMMARY: A comprehensive, graded calibration of cortical, physiological, and behavioral changes in animal models is undoubtedly needed to establish an integrative framework. This approach reveals the contribution of local and systemic neuronal circuits to the underlying mechanisms for recovering consciousness.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33278146      PMCID: PMC7866679          DOI: 10.1097/WCO.0000000000000895

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   6.283


  48 in total

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Journal:  Br J Pharmacol       Date:  2006-01       Impact factor: 8.739

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3.  MORPhA Scale: Behavioral and electroencephalographic validation of a rodent anesthesia scale.

Authors:  Madalena Esteves; António M Almeida; Joana Silva; Pedro Silva Moreira; Emanuel Carvalho; José Miguel Pêgo; Armando Almeida; Ioannis Sotiropoulos; Nuno Sousa; Hugo Leite-Almeida
Journal:  J Neurosci Methods       Date:  2019-05-26       Impact factor: 2.390

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Authors:  Joseph T Giacino; Douglas I Katz; Nicholas D Schiff; John Whyte; Eric J Ashman; Stephen Ashwal; Richard Barbano; Flora M Hammond; Steven Laureys; Geoffrey S F Ling; Risa Nakase-Richardson; Ronald T Seel; Stuart Yablon; Thomas S D Getchius; Gary S Gronseth; Melissa J Armstrong
Journal:  Arch Phys Med Rehabil       Date:  2018-08-08       Impact factor: 3.966

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-24       Impact factor: 11.205

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Authors:  Emery N Brown; Ralph Lydic; Nicholas D Schiff
Journal:  N Engl J Med       Date:  2010-12-30       Impact factor: 91.245

7.  Increased electroencephalographic gamma activity reveals awakening from isoflurane anaesthesia in rats.

Authors:  J Kortelainen; X Jia; T Seppänen; N Thakor
Journal:  Br J Anaesth       Date:  2012-08-19       Impact factor: 9.166

8.  Physostigmine and Methylphenidate Induce Distinct Arousal States During Isoflurane General Anesthesia in Rats.

Authors:  Jonathan D Kenny; Jessica J Chemali; Joseph F Cotten; Christa J Van Dort; Seong-Eun Kim; Demba Ba; Norman E Taylor; Emery N Brown; Ken Solt
Journal:  Anesth Analg       Date:  2016-11       Impact factor: 5.108

9.  Multimodal assessment of recovery from coma in a rat model of diffuse brainstem tegmentum injury.

Authors:  Patricia Pais-Roldán; Brian L Edlow; Yuanyuan Jiang; Johannes Stelzer; Ming Zou; Xin Yu
Journal:  Neuroimage       Date:  2019-01-29       Impact factor: 7.400

10.  Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia.

Authors:  Andrew R McKinstry-Wu; Andrzej Z Wasilczuk; Benjamin A Harrison; Victoria M Bedell; Mathangi J Sridharan; Jayce J Breig; Michael Pack; Max B Kelz; Alexander Proekt
Journal:  Elife       Date:  2019-12-03       Impact factor: 8.140

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