PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 18, 2012Psychophysiology328 citations

Blunted neural response to rewards prospectively predicts depression in adolescent girls

View Full Paper
JBJennifer N. BressDFDan FotiRKRoman Kotov

Structured PICO

Does blunted feedback negativity predict the development of major depressive episodes in never-depressed adolescent girls?

P
Population
68 never-depressed adolescent girls
I
Intervention
Measurement of feedback negativity (FN) amplitude via event-related potentials during a monetary reward task
O
Outcome
First onset of a major depressive episode (MDE) over 2 yearshard clinical

A blunted neural response to rewards (feedback negativity) serves as a prospective predictor for the first onset of major depressive episodes in adolescent girls.

Abstract

The prevalence of depression increases substantially during adolescence. Several predictors of major depressive disorder have been established, but their predictive power is limited. In the current study, the feedback negativity (FN), an event-related potential component elicited by feedback indicating monetary gain versus loss, was recorded in 68 never-depressed adolescent girls. Over the following 2 years, 24% of participants developed a major depressive episode (MDE); illness onset was predicted by blunted FN at initial evaluation. Lower FN amplitude predicted more depressive symptoms during the follow-up period, even after controlling for neuroticism and depressive symptoms at baseline. This is the first prospective study to demonstrate a link between a neural measure of reward sensitivity and the first onset of an MDE. The current results suggest that low reward sensitivity may be an important factor in the development of depression.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bress et al. (2012) studied this question.

synapsesocial.com/papers/69d8ec2117a1cc0598d18d96https://doi.org/10.1111/j.1469-8986.2012.01485.x
Ask AI
Helpful
Bookmark
Share
View Full Paper