Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal.

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第一作者： Noura,Alotaibi

第一单位： School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.;Department of Computer Science and Artificial Intelligence, University of Jeddah, Jeddah, Saudi Arabia.

作者： Noura,Alotaibi ^[1] ; Dalal,Bakheet ^[1] ; Daniel,Konn ^[2] ; Brigitte,Vollmer ^[3] ; Koushik,Maharatna ^[4]

作者单位： School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.;Department of Computer Science and Artificial Intelligence, University of Jeddah, Jeddah, Saudi Arabia. ^[1] Clinical Neurophysiology, University Hospital Southampton, Southampton, United Kingdom. ^[2] Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.;Paediatric Neurology, Southampton Children's Hospital, Southampton, United Kingdom. ^[3] School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom. ^[4]

关键词 brain connectivity cognitive scores electroencephalography (EEG)entropy analysis graph theory hypoxic-ischemic encephalopathy (HIE)noise-assisted multivariate empirical mode decomposition (NA-MEMD)

DOI 10.3389/fnhum.2021.795006

PMID 35153702

发布时间 2024-09-29

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Frontiers in human neuroscience

2021年15卷

795006页

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Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal.

Frontiers in human neuroscience

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Frontiers in human neuroscience

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Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal.

Frontiers in human neuroscience

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Frontiers in human neuroscience

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