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

Increased communication between the amygdala and hippocampus appear to correlate with symptoms of depression and anxiety, in findings that may have treatment implications, new research suggests.

Electroencephalography (EEG) signal compression techniques have evolved considerably over recent years, addressing the critical challenge of managing the voluminous datasets generated by ...

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

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

Why Use EEG in the Critically Ill? Wilner: Thanks for joining us. I’m really glad we have this opportunity because this is a question that’s been bothering me about the application of resources. A ...

New research looks at EEG's role in real-time monitoring of workers' cognitive and emotional states and its potential in automating the detection of psychological hazards like stress and fatigue, ...

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 ...

The future of electroencephalography (EEG) monitoring may soon look like a strand of hair. In place of the traditional metal electrodes, a web of wires and sticky adhesives, a team of researchers from ...