People who have recovered from a major depressive episode, when compared with individuals who have never experienced one, tend to spend more time processing negative information and less time processing positive information, putting them at risk for a relapse, according to research published by the American Psychological Association.
“Our findings suggest that people who have a history of depression spend more time processing negative information, such as sad faces, than positive information, such as happy faces, and that this difference is greater compared to healthy people with no history,” said lead author Alainna Wen, PhD, a postdoctoral scholar at the Anxiety and Depression Research Center at the University of California, Los Angeles. “Because more negative thinking and mood and less positive thinking and mood are characteristic of depression, this could mean that these individuals are at a greater risk for having another depressive episode.”
The research was published in the Journal of Psychopathology and Clinical Science.
Major depression is one of the most common mental disorders in the United States. In 2020, approximately 21 million U.S. adults reported at least one incidence of major depression (8.4% of the U.S. population), according to the National Institute of Mental Health. Defined as a period of at least two weeks of a depressed mood or loss of interest or pleasure in daily activities, major depression can interfere with or limit a person’s ability to carry out major life activities.
Despite well-established treatments for depression, relapse rates for major depressive disorder remain high, according to Wen. More than 50% of individuals with a first-time major depressive episode will experience subsequent episodes, often relapsing within two years of recovery. Thus, more insight is needed into the risk factors involved in major depressive disorder to improve treatment and prevent relapse.
For this paper, researchers conducted a meta-analysis of 44 studies involving 2081 participants with a history of major depressive disorder and 2285 healthy controls. All studies examined participants’ response times to negative, positive or neutral stimuli. In some cases, participants were shown either a happy, sad or neutral human face and asked to push a different button for each. In others, participants reacted to positive, negative or neutral words.
Healthy participants as a group responded more quickly to emotional and non-emotional stimuli than participants with a history of depression, regardless of whether those stimuli were positive, neutral or negative. But participants who previously had major depressive disorder spent more time processing negative emotional stimuli over positive stimuli compared with controls. While healthy controls showed a significant difference in how much time they spent processing positive vs. negative emotional stimuli compared with those in remission from major depression, that distinction did not appear when comparing time spent processing negative vs. neutral or positive vs. neutral stimuli.
Overall, the findings suggest that individuals with recurrent major depressive disorder not only are less able to control the information they process than healthy individuals, they also display a greater bias for focusing on negative over positive or neutral information, according to Wen.
“The current findings have implications for the treatment of depression,” said Wen. “Focusing on reducing the processing of negative information alone may not be sufficient to prevent depression relapse. Instead, patients may also benefit from strategies to increase the processing of positive information.”
Article: “Biased Cognitive Control of Emotional Information in Remitted Depression: A Meta-Analytic Review,” by Alainna Wen, PhD, University of California, Los Angeles; Ethan Fischer, BSc, and Lira Yoon, PhD, University of Maryland Baltimore County; and David Watson, PhD, University of Notre Dame. Journal of Psychopathology and Clinical Science, published online Aug. 21, 2023.
Contact: Alainna Wen, PhD, can be contacted at aaqwen@g.ucla.edu
