Changes in EEG background activity are powerful but nonspecific markers of brain dysfunction. Early EEG and amplitude-integrated EEG (aEEG) pattern predict further neurodevelopmental outcome in term ...

An automated artificial intelligence (AI) model trained to read electroencephalograms (EEGs) in patients with suspected epilepsy is just as accurate as trained neurologists, new data suggests. Known ...

In a recent Frontiers in Aging Neuroscience study, researchers describe their observations from continuous electroencephalography (EEG) recordings obtained from the brain of a dying 87-year-old man ...

DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/904642/standard_electroen) has announced the addition of John Wiley and Sons ...

Epilepsy is a neurological condition characterised by recurrent episodes of seizures. Most cases of epilepsy do not have a clear cause. The primary pathogenesis of many forms of epilepsy is an ...

A new artificial intelligence (AI) model may improve patient diagnosis and care among specialized epilepsy centers in underserved areas. The use of an artificial intelligence (AI) model to interpret ...

Does exposure to stress early in life affect a baby's brain development, and is there a way to single out babies who might benefit from early intervention? A new study used brain EEGs to begin to get ...

A landmark study from neurologists at Columbia University has described a new method to detect signs of consciousness in unresponsive brain-injured patients using a simple EEG scan. The research also ...

This is the 5th in a series of blog posts on ADHD. The focus of this post is electroencephalographic (EEG) biofeedback, sometimes called neurofeedback. What it is and how it works Many individuals ...

This is the 5th in a series of blog posts on ADHD. The focus of this post is electroencephalographic (EEG) biofeedback, sometimes called neurofeedback. What it is and how it works Many individuals ...