fMRI may bring precision medicine to depression care

Clinical depression is persistently widespread yet notoriously individualized. It often forces patients and therapists to use an arduous trial-and-error approach in search of the right antidepressant at the right dose, if any, along with the right type of talk therapy—again, if any.

A new study shows that functional MRI (fMRI) can help predict amygdala response to treatments and, in the process, cut out much of the guesswork and its costs.

Lead researcher Leanne Williams, PhD, of Stanford tells Time she hopes standard treatment for depression will soon include fMRI scans.

“There are sets of antidepressants available and basically equal chance of choosing any one of them,” Williams says, adding that treating physicians “don’t know whether they need to refer someone to much more intensive counseling. They have no way of knowing if they should try medication or not.”

Now they may have a way. Read the article: 

Dave Pearson

Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.

Around the web

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.