Warren Taylor

Warren Taylor, MD, MHSc, and colleagues are exploring why older adults who have successfully been treated for depression experience a recurrence within four to five years.
August 1, 2024

Warren Taylor appointed vice-chair for Research in Psychiatry and Behavioral Sciences

His NIH-supported clinical neuroscience research program concentrates on late-life depression, focusing on neurobiological factors influencing acute and long-term outcomes.

By Danny Bonvissuto
April 21, 2022

Taylor, Newhouse, Petrie honored by geriatric psychiatry association

Vanderbilt’s Warren Taylor, MD, MHSc, Paul Newhouse, MD, and William Petrie, MD, were recently honored at the 2022 American Association for Geriatric Psychiatry (AAGP) Awards.

By Emily Stembridge
Warren Taylor, MD, MHSc, and colleagues are exploring why older adults who have successfully been treated for depression experience a recurrence within four to five years.
April 22, 2021

Study to explore treatment for older adults with depression

Older adults with depression face a unique obstacle — dealing with both a mental illness and the challenges that come along with aging. Currently, there are no treatments on the market targeting depression in this specific group.

By Emily Stembridge
October 19, 2020

Depression and the brain-age gap

Older depressed adults show accelerated brain aging, according to a new study from Vanderbilt researchers, who suggest that the effects of depression may speed the decline in cognitive functions in older individuals.

By Sarah E. Glass
October 15, 2020

Study explores nicotine patch to treat late-life depression

Backed by nearly $5 million in funding, researchers from Vanderbilt University Medical Center are testing to see whether transdermal nicotine patches can improve mood, forgetfulness and attentiveness in adults over 60 with a diagnosis of depression.

By Kelsey Herbers
February 13, 2020

VUMC-led study set to explore risk factors for depression recurrence

VUMC researchers are conducting a five-year multisite trial to explore potential methods for predicting which patients may have a worse course of depression or are most vulnerable to recurrent episodes.

By Kelsey Herbers