Neural mechanisms of subclinical depressive symptoms in women: a pilot functional brain imaging study.

Published

Journal Article

Studies of individuals who do not meet criteria for major depressive disorder (MDD) but with subclinical levels of depressive symptoms may aid in the identification of neurofunctional abnormalities that possibly precede and predict the development of MDD. The purpose of this study was to evaluate relations between subclinical levels of depressive symptoms and neural activation patterns during tasks previously shown to differentiate individuals with and without MDD.Functional magnetic resonance imaging (fMRI) was used to assess neural activations during active emotion regulation, a resting state scan, and reward processing. Participants were twelve females with a range of depressive symptoms who did not meet criteria for MDD.Increased depressive symptom severity predicted (1) decreased left midfrontal gyrus activation during reappraisal of sad stimuli; (2) increased right midfrontal gyrus activation during distraction from sad stimuli; (3) increased functional connectivity between a precuneus seed region and left orbitofrontal cortex during a resting state scan; and (4) increased paracingulate activation during non-win outcomes during a reward-processing task.These pilot data shed light on relations between subclinical levels of depressive symptoms in the absence of a formal MDD diagnosis and neural activation patterns. Future studies will be needed to test the utility of these activation patterns for predicting MDD onset in at-risk samples.

Full Text

Duke Authors

Cited Authors

  • Felder, JN; Smoski, MJ; Kozink, RV; Froeliger, B; McClernon, J; Bizzell, J; Petty, C; Dichter, GS

Published Date

  • September 21, 2012

Published In

Volume / Issue

  • 12 /

Start / End Page

  • 152 -

PubMed ID

  • 22998631

Pubmed Central ID

  • 22998631

Electronic International Standard Serial Number (EISSN)

  • 1471-244X

International Standard Serial Number (ISSN)

  • 1471-244X

Digital Object Identifier (DOI)

  • 10.1186/1471-244X-12-152

Language

  • eng