Explaining recovery from coma with multimodal neuroimaging

The aim of this prospective, observational cohort study was to investigate and assess diverse neuroimaging biomarkers to predict patients’ neurological recovery after coma. 32 patients (18–76 years, M  = 44.8, SD = 17.7) with disorders of consciousness participated in the study. Multimodal neuroimag...

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Bibliographic Details
Published in:Journal of neurology 2024-09, Vol.271 (9), p.6274-6288
Main Authors: Pozeg, Polona, Jöhr, Jane, Prior, John O., Diserens, Karin, Dunet, Vincent
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Anisotropy
Biomarkers
Brain - diagnostic imaging
Brain - physiopathology
Brain injury
Cohort Studies
Coma
Coma - diagnostic imaging
Coma - physiopathology
Computed tomography
Diffusion Magnetic Resonance Imaging
Female
Forebrain
Functional magnetic resonance imaging
Glucose metabolism
Humans
Magnetic Resonance Imaging
Male
Medical imaging
Medicine
Medicine & Public Health
Metabolism
Middle Aged
Multimodal Imaging
Neural networks
Neuroimaging
Neuroimaging - methods
Neurology
Neuroradiology
Neurosciences
Original Communication
Patients
Positron emission tomography
Positron Emission Tomography Computed Tomography
Prospective Studies
Recovery of function
Recovery of Function - physiology
Structure-function relationships
Substantia alba
Tomography
Young Adult
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Description
Summary:The aim of this prospective, observational cohort study was to investigate and assess diverse neuroimaging biomarkers to predict patients’ neurological recovery after coma. 32 patients (18–76 years, M  = 44.8, SD = 17.7) with disorders of consciousness participated in the study. Multimodal neuroimaging data acquired during the patient’s hospitalization were used to derive cortical glucose metabolism ( 18 F-fluorodeoxyglucose positron emission tomography/computed tomography), and structural (diffusion-weighted imaging) and functional connectivity (resting-state functional MRI) indices. The recovery outcome was defined as a continuous composite score constructed from a multivariate neurobehavioral recovery assessment administered upon the discharge from the hospital. Fractional anisotropy-based white matter integrity in the anterior forebrain mesocircuit ( r  = 0.72, p  
ISSN:0340-5354
1432-1459
1432-1459
DOI:10.1007/s00415-024-12591-y