Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness
Autor: | Carol J. Zarate-Ardila, Diana Andrea Vera Rivera, Mayra A. Hurtado, Cesar O Enciso-Olivera, Cristian Pulido, Francisco Gómez, Jorge H. Marín-Muñoz, José L. Hernández, Natalia Guerrero, Edgar G. Ordóñez-Rubiano, Jorge Rudas, Rosangela Casanova-Libreros, Darwin Martínez, Clara P. Hernández-Torres, Natalia Aguilera-Bustos |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male medicine.medical_specialty Consciousness Traumatic brain injury Science Functional magnetic resonance imaging Article Arousal White matter Magnetic resonance imaging Internal medicine Brain Injuries Traumatic Neural Pathways Image Processing Computer-Assisted Medicine Humans Coma Stroke Aged Univariate analysis Multidisciplinary business.industry Minimally conscious state Brain Middle Aged medicine.disease Prognosis Heart Arrest medicine.anatomical_structure Diffusion Tensor Imaging nervous system Oxygen Saturation Brain Injuries Cardiology Consciousness Disorders Wakefulness Female business Neurological disorders Biomarkers Diffusion MRI |
Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | Object: 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.Methods: 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.Results: 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.Conclusion: Findings suggest that the above imaging biomarkers may have a predictive role for the outcome of comatose patients after acute TBI, CPA, or stroke. |
Databáze: | OpenAIRE |
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