Attenuation of Frontostriatal Connectivity During Reward Processing Predicts Response to Psychotherapy in Major Depressive Disorder.

Journal Article (Journal Article)

There are few reliable predictors of response to antidepressant treatments. In the present investigation, we examined pretreatment functional brain connectivity during reward processing as a potential predictor of response to Behavioral Activation Treatment for Depression (BATD), a validated psychotherapy that promotes engagement with rewarding stimuli and reduces avoidance behaviors. Thirty-three outpatients with major depressive disorder (MDD) and 20 matched controls completed two runs of the monetary incentive delay task during functional magnetic resonance imaging after which participants with MDD received up to 15 sessions of BATD. Seed-based generalized psychophysiological interaction analyses focused on task-based connectivity across task runs, as well as the attenuation of connectivity from the first to the second run of the task. The average change in Beck Depression Inventory-II scores due to treatment was 10.54 points, a clinically meaningful response. Groups differed in seed-based functional connectivity among multiple frontostriatal regions. Hierarchical linear modeling revealed that improved treatment response to BATD was predicted by greater connectivity between the left putamen and paracingulate gyrus during reward anticipation. In addition, MDD participants with greater attenuation of connectivity between several frontostriatal seeds, and midline subcallosal cortex and left paracingulate gyrus demonstrated improved response to BATD. These findings indicate that pretreatment frontostriatal functional connectivity during reward processing is predictive of response to a psychotherapy modality that promotes improving approach-related behaviors in MDD. Furthermore, connectivity attenuation among reward-processing regions may be a particularly powerful endophenotypic predictor of response to BATD in MDD.

Full Text

Duke Authors

Cited Authors

  • Walsh, E; Carl, H; Eisenlohr-Moul, T; Minkel, J; Crowther, A; Moore, T; Gibbs, D; Petty, C; Bizzell, J; Smoski, MJ; Dichter, GS

Published Date

  • March 2017

Published In

Volume / Issue

  • 42 / 4

Start / End Page

  • 831 - 843

PubMed ID

  • 27585739

Pubmed Central ID

  • PMC5312060

Electronic International Standard Serial Number (EISSN)

  • 1740-634X

Digital Object Identifier (DOI)

  • 10.1038/npp.2016.179


  • eng

Conference Location

  • England