ArticleScientific reports2020
Outcome prediction with resting-state functional connectivity after cardiac arrest.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Early Identification of Recovery Potential After Acute Brain Injury Using Functional Near-Infrared Spectroscopy.Neurocritical care · 2026Article
- Changes in the Default Mode Network and Recovery of Impaired Consciousness in Traumatic Brain Injury: A Case Series.Diagnostics (Basel, Switzerland) · 2026Article
- Neuroimaging of Disorder of Consciousness: From Brain Network Mechanisms to Clinical Translation.Journal of clinical neurology (Seoul, Korea) · 2026Review
- Functional neuroimaging in disorders of consciousness: towards clinical implementation.Brain : a journal of neurology · 2025Review
- Combined sonographic optic nerve sheath diameter and cerebral oximeter for predicting neurological outcome after cardiac arrest.Biomolecules & biomedicine · 2025Article
- Functional connectivity in resting-state networks relates to short-term global cognitive functioning in cardiac arrest survivors.Human brain mapping · 2024Article
- Functional near-infrared spectroscopy: A novel tool for detecting consciousness after acute severe brain injury.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Exploration of resting-state brain functional connectivity as preclinical markers for arousal prediction in prolonged disorders of consciousness: A pilot study based on functional near-infrared spectroscopy.Brain and behavior · 2024Article
- Review
- Measurement of thalamus and cortical damages in hypoxic ischemic encephalopathy.IBRO neuroscience reports · 2023Article
- Artificial Intelligence in Resuscitation: A Scoping Review.Journal of clinical medicine · 2023Article
- Parieto-Occipital Injury on Diffusion MRI Correlates with Poor Neurologic Outcome following Cardiac Arrest.AJNR. American journal of neuroradiology · 2023Article
- Brain dysconnectivity with heart failure.Brain communications · 2023Article
- Functional networks in prolonged disorders of consciousness.Frontiers in neuroscience · 2023Review
- Limbic pathway vulnerability associates with neurologic outcome in children after cardiac arrest.Resuscitation · 2023Article
- Relay and higher-order thalamic nuclei show an intertwined functional association with cortical-networks.Communications biology · 2022Article
- MRI markers of brain network integrity relate to neurological outcome in postanoxic coma.NeuroImage. Clinical · 2022Article
- Functional network alterations in young brain tumor patients with radiotherapy-induced memory impairments and vascular injury.Frontiers in neurology · 2022Article
- Structural and functional connectivity of the ascending arousal network for prediction of outcome in patients with acute disorders of consciousness.Scientific reports · 2021Article
- Improving Diagnosis and Prognosis in Acute Severe Brain Injury: A Multimodal Imaging Protocol.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challenging. Our primary aim was to assess the potential contribution of resting-state-functional magnetic resonance imaging (RS-fMRI) in predicting neurological outcome. RS-fMRI was used to evaluate functional and effective connectivity within the default mode network in a cohort of 90 comatose patients and their impact on functional neurological outcome after 3 months. The RS-fMRI processing protocol comprises the evaluation of functional and effective connectivity within the default mode network. Seed-to-voxel and ROI-to-ROI feature analysis was performed as starting point for a supervised machine-learning approach. Classification of the Cerebral Performance Category (CPC) 1-3 (good to acceptable outcome) versus CPC 4-5 (adverse outcome) achieved a positive predictive value of 91.7%, sensitivity of 90.2%, and accuracy of 87.8%. A direct link to the level of consciousness and outcome after 3 months was identified for measures of segregation in the precuneus, in medial and right frontal regions. Thalamic connectivity appeared significantly reduced in patients without conscious response. Decreased within-network connectivity in the default mode network and within cortico-thalamic circuits correlated with clinical outcome after 3 months. Our results indicate a potential role of these markers for decision-making in comatose patients early after cardiac arrest.
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