Challenges and demand for modeling disorders of consciousness following traumatic brain injury
- PMID: 30550859
- PMCID: PMC7847278
- DOI: 10.1016/j.neubiorev.2018.12.015
Challenges and demand for modeling disorders of consciousness following traumatic brain injury
Abstract
Following severe traumatic brain injury (TBI), many patients experience coma - an unresponsive state lacking wakefulness or awareness. Coma rarely lasts more than two weeks, and emergence involves passing through a state of wakefulness without awareness of self or environment. Patients that linger in these Disorders of Consciousness (DoC) undergo clinical assessments of awareness for diagnosis into Unresponsive Wakefulness Syndrome (no awareness, also called vegetative state) or Minimally Conscious State (periodic increases in awareness). These diagnoses are notoriously inaccurate, offering little prognostic value. Recovery of awareness is unpredictable, returning within weeks, years, or never. This leaves patients' families with difficult decisions and little information on which to base them. Clinical studies have made significant advancements, but remain encumbered by high variability, limited data output, and a lack of necessary controls. Herein we discuss the clear and present need to establish a preclinical model of TBI-induced DoC, the significant challenges involved, and how such a model can be applied to support DoC research.
Keywords: Coma; Disorders of consciousness; Large animal models; Minimally conscious state; Porcine; Rotational acceleration; Swine; Traumatic brain injury; Unresponsive wakefulness syndrome; Vegetative state.
Copyright © 2018 Elsevier Ltd. All rights reserved.
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References
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- American Congress of Rehabilitation Medicine, Brain Injury-Interdisciplinary Special Interest Group, Disorders of Consciousness Task Force, Seel RT, Sherer M, Whyte J, Katz DI, Giacino JT, Rosenbaum AM, Hammond FM, Kalmar K, Pape TL-B, Zafonte R, Biester RC, Kaelin D, Kean J, Zasler N, 2010. Assessment scales for disorders of consciousness: evidence-based recommendations for clinical practice and research. Arch Phys Med Rehabil 91, 1795–1813. 10.1016/j.apmr.2010.07.218 - DOI - PubMed
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