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

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

Electroencephalography (EEG) has emerged as a valuable non‐invasive tool for examining neural dynamics and recognising patterns associated with depressive disorders. Recent advances in deep learning ...

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.

At Stanford, a treatment that aims magnetic pulses at the brain is showing results for people with treatment-resistant depression. It’s called SAINT, and here’s how it works.