A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are... Read more
A new small-molecule drug produced a rapid antidepressant response similar to that of ketamine when tested in mice, a new Yale-led study published April 16 in The Journal of Clinical Investi... Read more
Using nanotechnology, UCF researchers have developed the first rapid detector for dopamine, a chemical that is believed to play a role in various diseases such as Parkinson’s, depressi... Read more
UNC School of Medicine researchers led by Flavio Frohlich, PhD, are the first to use transcranial alternating current brain stimulation (tACS) to significantly reduce symptoms in people diag... Read more
New therapeutic molecules developed at Toronto’s Centre for Addiction and Mental Health (CAMH) show promise in reversing the memory loss linked to depression and aging. These molecules not o... Read more
Early detection important in preventing anxiety disorders, risk of drug abuse, suicide later in life Anxiety and depression are surprisingly common among young children – as many as one in f... Read more
Online cognitive behavioral therapy reduces symptoms in cases of mild, moderate or severe depression
Analysis shows that online cognitive behavioral therapy reduces symptoms in cases of mild, moderate or severe depression In a sweeping new study, Indiana University psychologists have found... Read more
Researchers have found an effective target in the brain for electrical stimulation to improve mood in people suffering from depression. As reported in the journal Current Biology on November... Read more
Machine learning, also known as artificial intelligence, could be a useful tool for predicting how well people at high risk of psychosis or with recent onset depression will function sociall... Read more
According to the National Institute of Mental Health (NIMH), 4.4 percent of the population of the United States will have bipolar disorder at one point in their lives. Another 16.2 million,... Read more
Findings may yield new therapies for depression and anxiety among millions of patients Engineers and physicians at USC and the University of California, San Francisco have discovered how moo... Read more
Neural network learns speech patterns that predict depression in clinical interviews To diagnose depression, clinicians interview patients, asking specific questions — about, say, past menta... Read more
Commercial antidepressants typically take two to four weeks to have a significant effect on a depressed patient. They are also ineffective in many cases. Finding new drugs for depression tha... Read more
Stimulating the brain’s caudate nucleus generates a negative outlook that clouds decision-making. Many patients with neuropsychiatric disorders such as anxiety or depression experience negat... Read more
Tapping into the electrical chatter between different regions of the brain may provide a new way to predict and prevent depression, according to new research by Duke University neuroscientis... Read more