Publications by authors named "Mahsa Aghaeeaval"
A quantitative EEG index for the recognition of arterial ischemic stroke in children.
Clin Neurophysiol
December 2023
Objective: To describe and assess performance of the Correlate Of Injury to the Nervous system (COIN) index, a quantitative electroencephalography (EEG) metric designed to identify areas of cerebral dysfunction concerning for stroke.
Methods: Case-control study comparing continuous EEG data from children with acute ischemic stroke to children without stroke, with or without encephalopathy. COIN is calculated continuously and compares EEG power between cerebral hemispheres.
Article Synopsis
- The International Cardiac Arrest Research (I-CARE) aims to create a standardized database for studying acute brain injury in cardiac arrest patients through continuous electroencephalography (EEG) across multiple centers in the US and Europe.
- Data from 1,020 comatose patients were collected, including 56,676 hours of EEG monitoring, revealing that most patients did not survive, while some achieved varying degrees of neurological recovery.
- The database highlights significant findings, like variations in EEG patterns based on neurological outcomes, and includes features like spike frequency and burst suppression, which have implications for understanding brain function after cardiac arrest.
Objective: To develop a harmonized multicenter clinical and electroencephalography (EEG) database for acute hypoxic-ischemic brain injury research involving patients with cardiac arrest.
Design: Multicenter cohort, partly prospective and partly retrospective.
Setting: Seven academic or teaching hospitals from the U.
Prediction of patient survival following postanoxic coma using EEG data and clinical features.
Annu Int Conf IEEE Eng Med Biol Soc
November 2021
Electroencephalography (EEG) is an effective and non-invasive technique commonly used to monitor brain activity and assist in outcome prediction for comatose patients post cardiac arrest. EEG data may demonstrate patterns associated with poor neurological outcome for patients with hypoxic injury. Thus, both quantitative EEG (qEEG) and clinical data contain prognostic information for patient outcome.
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