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Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study

Electroencephalogram (EEG) recordings are increasingly used to evaluate patients with disorders of consciousness (DOC) or assess their prognosis outcome in the short-term perspective. However, there is a lack of information concerning the effectiveness of EEG in classifying long-term (many years) ou...

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Autores principales: Fingelkurts, Andrew A., Fingelkurts, Alexander A., Bagnato, Sergio, Boccagni, Cristina, Galardi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894941/
https://www.ncbi.nlm.nih.gov/pubmed/27347266
http://dx.doi.org/10.2174/1874440001610010069
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author Fingelkurts, Andrew A.
Fingelkurts, Alexander A.
Bagnato, Sergio
Boccagni, Cristina
Galardi, Giuseppe
author_facet Fingelkurts, Andrew A.
Fingelkurts, Alexander A.
Bagnato, Sergio
Boccagni, Cristina
Galardi, Giuseppe
author_sort Fingelkurts, Andrew A.
collection PubMed
description Electroencephalogram (EEG) recordings are increasingly used to evaluate patients with disorders of consciousness (DOC) or assess their prognosis outcome in the short-term perspective. However, there is a lack of information concerning the effectiveness of EEG in classifying long-term (many years) outcome in chronic DOC patients. Here we tested whether EEG operational architectonics parameters (geared towards consciousness phenomenon detection rather than neurophysiological processes) could be useful for distinguishing a very long-term (6 years) clinical outcome of DOC patients whose EEGs were registered within 3 months post-injury. The obtained results suggest that EEG recorded at third month after sustaining brain damage, may contain useful information on the long-term outcome of patients in vegetative state: it could discriminate patients who remain in a persistent vegetative state from patients who reach a minimally conscious state or even recover a full consciousness in a long-term perspective (6 years) post-injury. These findings, if confirmed in further studies, may be pivotal for long-term planning of clinical care, rehabilitative programs, medical-legal decisions concerning the patients, and policy makers.
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spelling pubmed-48949412016-06-24 Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study Fingelkurts, Andrew A. Fingelkurts, Alexander A. Bagnato, Sergio Boccagni, Cristina Galardi, Giuseppe Open Neuroimag J Article Electroencephalogram (EEG) recordings are increasingly used to evaluate patients with disorders of consciousness (DOC) or assess their prognosis outcome in the short-term perspective. However, there is a lack of information concerning the effectiveness of EEG in classifying long-term (many years) outcome in chronic DOC patients. Here we tested whether EEG operational architectonics parameters (geared towards consciousness phenomenon detection rather than neurophysiological processes) could be useful for distinguishing a very long-term (6 years) clinical outcome of DOC patients whose EEGs were registered within 3 months post-injury. The obtained results suggest that EEG recorded at third month after sustaining brain damage, may contain useful information on the long-term outcome of patients in vegetative state: it could discriminate patients who remain in a persistent vegetative state from patients who reach a minimally conscious state or even recover a full consciousness in a long-term perspective (6 years) post-injury. These findings, if confirmed in further studies, may be pivotal for long-term planning of clinical care, rehabilitative programs, medical-legal decisions concerning the patients, and policy makers. Bentham Open 2016-05-13 /pmc/articles/PMC4894941/ /pubmed/27347266 http://dx.doi.org/10.2174/1874440001610010069 Text en © Fingelkurts et al.; Licensee Bentham Open. https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Fingelkurts, Andrew A.
Fingelkurts, Alexander A.
Bagnato, Sergio
Boccagni, Cristina
Galardi, Giuseppe
Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title_full Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title_fullStr Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title_full_unstemmed Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title_short Long-Term (Six Years) Clinical Outcome Discrimination of Patients in the Vegetative State Could be Achieved Based on the Operational Architectonics EEG Analysis: A Pilot Feasibility Study
title_sort long-term (six years) clinical outcome discrimination of patients in the vegetative state could be achieved based on the operational architectonics eeg analysis: a pilot feasibility study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894941/
https://www.ncbi.nlm.nih.gov/pubmed/27347266
http://dx.doi.org/10.2174/1874440001610010069
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