Weekly Neuroscience Update

Researchers at the University of Southern California (USC) are developing SimSensei, a Kinect-driven avatar system capable of tracking and analyzing telltale signs of psychological distress. The avatar psychologist uses facial recognition technology and a depth-sensing camera to read a person’s facial movements, body movements, posture, linguistic patterns and acoustics to screen for depression.

A new functional magnetic resonance imaging (fMRI) technique may provide neurosurgeons with a non-invasive tool to help in mapping critical areas of the brain before surgery, reports a study in the April issue of Neurosurgery, official journal of the Congress of Neurological Surgeons.

For the first time, scientists have been able to predict how much pain people are feeling by looking at images of their brains, according to a new study led by the University of Colorado Boulder.The findings, published today in the New England Journal of Medicine, may lead to the development of reliable methods doctors can use to objectively quantify a patient’s pain

New research has shown that the way our minds react to and process emotions such as fear can vary according to what is happening in other parts of our bodies.

UCLA researchers have used a brain-imaging tool and stroke risk assessment to identify signs of cognitive decline early on in individuals who don’t yet show symptoms of dementia.

People with mental illnesses are more than seven times more likely to use cannabis weekly compared to people without a mental illness, according to researchers from the Centre for Addiction and Mental Health (CAMH) who studied U.S. data.