The study covered in this summary was published on medRxiv.org as a preprint and has not yet been peer reviewed. A machine-learning algorithm demonstrated efficacy in accurately distinguishing ...

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 ...

A one-minute EEG test could one day help diagnose depression from patients’ homes. The corresponding study was published in Scientific Reports. Depression is primarily diagnosed via interviews and ...

Following on from prior research suggesting particular brain wave patterns can signal whether or not antidepressant medication will be effective, a new study is reporting the development of an ...

Alphabet's experimental projects group, X, has been working for three years on a mental health moonshot called Project Amber. The idea is to use electroencephalography, or EEG, to better monitor ...

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.

DALLAS - Feb. 10, 2020 - Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients. A national trial initiated by UT Southwestern in 2011 to ...

Treatment-resistant depression is an immense source of disability and suffering, and represents a major unmet clinical need for innovative and effective therapies. Deep brain stimulation trials for ...