Discover how Electroencephalography (EEG) records brain activity to diagnose epilepsy, strokes, and sleep disorders. Learn ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

The FDA cleared an electroencephalography (EEG) system based on a small sensor worn in the ear, allowing patients to be monitored outside of hospital settings, Naox Technologies in Paris, announced on ...

Electroencephalography (EEG) may offer a more accessible alternative to functional magnetic resonance imaging (fMRI) for guiding transcranial direct current stimulation (tDCS) when treating aphasia.

DENVER -- A high seizure burden derived by an artificial intelligence (AI) algorithm was associated with worse outcomes, a retrospective analysis showed. Hospitalized patients who had a high seizure ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

For the first time, scientists have invented a liquid ink that doctors can print onto a patient’s scalp to measure brain activity. The technology, presented December 2 in the Cell Press journal Cell ...

An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the nerves in their body. People who have lost the ability to walk due to spinal ...