Introduction:Increasing evidence supports that early EEGrecordings reliably contribute to outcome prediction incomatose patients with postanoxic encephalopathy. Aspostanoxic encephalopathy typically results in generalized EEGabnormalities, spatial resolution of a small number ofelectrodes is likely sufficient, which will reduce set-up time.Here, the authors compare a reduced and a 21-channel EEG foroutcome prediction.Methods:EEG recordings from 142 prospectively collectedpatients with postanoxic encephalopathy were reassessed bytwo independent reviewers using a reduced (10 electrodes)bipolar montage. Classification and prognostic accuracy werecompared with the full (21 electrodes) montage. The fullmontage consensus was considered Gold Stand...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
International audiencePurpose: To evaluate the predictive value of EEG reactivity assessment and con...
Objective: To provide evidence that early electroencephalography (EEG) allows for reliable predictio...
Background: We recently showed that electroencephalography (EEG) patterns within the first 24 hours ...
The electroencephalogram (EEG) contains information that is useful for the prediction of both poor a...
Abstract Background We recently showed that electroencephalography (EEG) patterns within the first 2...
Objective: To assess the value of electroencephalogram for prediction of outcome of comatose patient...
Evolution of the EEG background pattern is a robust contributor to prediction of poor or good outcom...
After a successful resuscitation from cardiac arrest, most patients remain comatose as a result of p...
Objectives:\ud Early identification of potential recovery of postanoxic coma is a major challenge. W...
BACKGROUND: To compare three computer-assisted quantitative electroencephalography (EEG) prediction ...
Current protocols of targeted temperature management (TTM) for neuroprotection in resuscitated comat...
Introduction: Multimodal neurological prognostication is recommended for comatose patients after car...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
International audiencePurpose: To evaluate the predictive value of EEG reactivity assessment and con...
Objective: To provide evidence that early electroencephalography (EEG) allows for reliable predictio...
Background: We recently showed that electroencephalography (EEG) patterns within the first 24 hours ...
The electroencephalogram (EEG) contains information that is useful for the prediction of both poor a...
Abstract Background We recently showed that electroencephalography (EEG) patterns within the first 2...
Objective: To assess the value of electroencephalogram for prediction of outcome of comatose patient...
Evolution of the EEG background pattern is a robust contributor to prediction of poor or good outcom...
After a successful resuscitation from cardiac arrest, most patients remain comatose as a result of p...
Objectives:\ud Early identification of potential recovery of postanoxic coma is a major challenge. W...
BACKGROUND: To compare three computer-assisted quantitative electroencephalography (EEG) prediction ...
Current protocols of targeted temperature management (TTM) for neuroprotection in resuscitated comat...
Introduction: Multimodal neurological prognostication is recommended for comatose patients after car...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
International audiencePurpose: To evaluate the predictive value of EEG reactivity assessment and con...