ArticleScientific reports2021
Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- The second decade of DTI in TBI Part 2: a systematic review of moderate and severe TBI.Frontiers in neurologyPooled it
- Advancing EEG-based assessment of consciousness and cognition in prolonged disorders of consciousness.Communications medicine · 2026Article
- Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations.bioRxiv : the preprint server for biology · 2025Article
- Functional and structural brain connectivity in disorders of consciousness.Brain structure & function · 2024Article
- Local Neuronal Activity and the Hippocampal Functional Network Can Predict the Recovery of Consciousness in Individuals With Acute Disorders of Consciousness Caused by Neurological Injury.CNS neuroscience & therapeutics · 2024Article
- Disorder of consciousness: Structural integrity of brain networks for the clinical assessment.Annals of clinical and translational neurology · 2023Article
- Limbic pathway vulnerability associates with neurologic outcome in children after cardiac arrest.Resuscitation · 2023Article
- Article
- Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury.Cortex; a journal devoted to the study of the nervous system and behavior · 2022Article
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 1 country.
Funding
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.
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Registered trials
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