Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness

Abstract To determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary...

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Autores principales:	Cesar O. Enciso-Olivera, Edgar G. Ordóñez-Rubiano, Rosángela Casanova-Libreros, Diana Rivera, Carol J. Zarate-Ardila, Jorge Rudas, Cristian Pulido, Francisco Gómez, Darwin Martínez, Natalia Guerrero, Mayra A. Hurtado, Natalia Aguilera-Bustos, Clara P. Hernández-Torres, José Hernandez, Jorge H. Marín-Muñoz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/08bc277c8d764d2fa5fd2c420301a98b
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spelling	oai:doaj.org-article:08bc277c8d764d2fa5fd2c420301a98b2021-11-28T12:21:04ZStructural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness10.1038/s41598-021-98506-72045-2322https://doaj.org/article/08bc277c8d764d2fa5fd2c420301a98b2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98506-7https://doaj.org/toc/2045-2322Abstract To determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary arrest (CPA), or stroke. A prospective analysis of 50 comatose patients was performed during their ICU stay. Image processing was conducted to assess structural and functional connectivity of the AAN. Outcomes were evaluated after 3 and 6 months. Nineteen patients (38%) had stroke, 18 (36%) CPA, and 13 (26%) TBI. Twenty-three patients were comatose (44%), 11 were in a minimally conscious state (20%), and 16 had unresponsive wakefulness syndrome (32%). Univariate analysis demonstrated that measurements of diffusivity, functional connectivity, and numbers of fibers in the gray matter, white matter, whole brain, midbrain reticular formation, and pontis oralis nucleus may serve as predictive biomarkers of outcome depending on the diagnosis. Multivariate analysis demonstrated a correlation of the predicted value and the real outcome for each separate diagnosis and for all the etiologies together. Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke.Cesar O. Enciso-OliveraEdgar G. Ordóñez-RubianoRosángela Casanova-LibrerosDiana RiveraCarol J. Zarate-ArdilaJorge RudasCristian PulidoFrancisco GómezDarwin MartínezNatalia GuerreroMayra A. HurtadoNatalia Aguilera-BustosClara P. Hernández-TorresJosé HernandezJorge H. Marín-MuñozNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cesar O. Enciso-Olivera Edgar G. Ordóñez-Rubiano Rosángela Casanova-Libreros Diana Rivera Carol J. Zarate-Ardila Jorge Rudas Cristian Pulido Francisco Gómez Darwin Martínez Natalia Guerrero Mayra A. Hurtado Natalia Aguilera-Bustos Clara P. Hernández-Torres José Hernandez Jorge H. Marín-Muñoz Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
description	Abstract To determine the role of early acquisition of blood oxygen level-dependent (BOLD) signals and diffusion tensor imaging (DTI) for analysis of the connectivity of the ascending arousal network (AAN) in predicting neurological outcomes after acute traumatic brain injury (TBI), cardiopulmonary arrest (CPA), or stroke. A prospective analysis of 50 comatose patients was performed during their ICU stay. Image processing was conducted to assess structural and functional connectivity of the AAN. Outcomes were evaluated after 3 and 6 months. Nineteen patients (38%) had stroke, 18 (36%) CPA, and 13 (26%) TBI. Twenty-three patients were comatose (44%), 11 were in a minimally conscious state (20%), and 16 had unresponsive wakefulness syndrome (32%). Univariate analysis demonstrated that measurements of diffusivity, functional connectivity, and numbers of fibers in the gray matter, white matter, whole brain, midbrain reticular formation, and pontis oralis nucleus may serve as predictive biomarkers of outcome depending on the diagnosis. Multivariate analysis demonstrated a correlation of the predicted value and the real outcome for each separate diagnosis and for all the etiologies together. Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke.
format	article
author	Cesar O. Enciso-Olivera Edgar G. Ordóñez-Rubiano Rosángela Casanova-Libreros Diana Rivera Carol J. Zarate-Ardila Jorge Rudas Cristian Pulido Francisco Gómez Darwin Martínez Natalia Guerrero Mayra A. Hurtado Natalia Aguilera-Bustos Clara P. Hernández-Torres José Hernandez Jorge H. Marín-Muñoz
author_facet	Cesar O. Enciso-Olivera Edgar G. Ordóñez-Rubiano Rosángela Casanova-Libreros Diana Rivera Carol J. Zarate-Ardila Jorge Rudas Cristian Pulido Francisco Gómez Darwin Martínez Natalia Guerrero Mayra A. Hurtado Natalia Aguilera-Bustos Clara P. Hernández-Torres José Hernandez Jorge H. Marín-Muñoz
author_sort	Cesar O. Enciso-Olivera
title	Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
title_short	Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
title_full	Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
title_fullStr	Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
title_full_unstemmed	Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
title_sort	structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/08bc277c8d764d2fa5fd2c420301a98b
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Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness

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