Though there are many effective interventions for Major Depressive Disorder (MDD) available, there is significant heterogeneity in treatment response. One obstacle to improved treatment response rates is the lack of biomarkers to predict who will respond to a given treatment. Further, there is a lack of understanding of genetic mediators of both depressive symptoms and treatment response. In the attempt to form links from genes to depressive phenotype, brain activity is a key intermediate between genes and behavior. In MDD, dopamine (DA) systems are of particular interest, as they underlie reward responsivity (or its lack, anhedonia). This proposal will examine relations between neural response to rewards in MDD, allelic variations of candidate genes regulating functional output of DA systems, and response to psychotherapy. Imaging-genetics has been a fruitful approach in basic and clinical cognitive neuroscience but has not yet been applied to understand heterogeneity of psychotherapy response in MDD. Participants will undergo functional neuroimaging during a reward anticipation and feedback task (Monetary Incentive Delay) and will be genotyped for candidate dopamine genes (COMT, DAT1, and others) before initiating a course of Brief Behavioral Activation Treatment for Depression (BATD) psychotherapy. Candidate DA polymorphisms will be examined as predictors of both fronto-striatal reward network activation as well as psychotherapy treatment response. Fronto-striatal reward network activation will be examined further as a mediator of DA polymorphism effects on treatment response. This approach is an important step in a program of research with the ultimate goal of generating and validating imaging genetic models that may ultimately predict response to both pharmacological and psychotherapeutic antidepressant treatments in MDD.

Public Health Relevance

The proposed research is relevant to public health because MDD is a leading cause of disability and is associated with increased risk of mortality. The proposed project will help to determine what patients are most likely to benefit from behavioral activation, an effective psychotherapy for MDD. The proposed research is relevant to the NIMH Strategic Plan to identify risk factors for mental illness across different phases of disease trajectory, especially the identification of predictors of intervention response.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21MH094781-01A1
Application #
8299251
Study Section
Adult Psychopathology and Disorders of Aging Study Section (APDA)
Program Officer
Rumsey, Judith M
Project Start
2012-04-06
Project End
2014-03-31
Budget Start
2012-04-06
Budget End
2013-03-31
Support Year
1
Fiscal Year
2012
Total Cost
$205,300
Indirect Cost
$51,300
Name
Duke University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Walsh, Erin; Carl, Hannah; Eisenlohr-Moul, Tory et al. (2017) Attenuation of Frontostriatal Connectivity During Reward Processing Predicts Response to Psychotherapy in Major Depressive Disorder. Neuropsychopharmacology 42:831-843
Carl, Hannah; Walsh, Erin; Eisenlohr-Moul, Tory et al. (2016) Sustained anterior cingulate cortex activation during reward processing predicts response to psychotherapy in major depressive disorder. J Affect Disord 203:204-212
Kaiser, Roselinde H; Whitfield-Gabrieli, Susan; Dillon, Daniel G et al. (2016) Dynamic Resting-State Functional Connectivity in Major Depression. Neuropsychopharmacology 41:1822-30
Smoski, Moria J; Keng, Shian-Ling; Ji, Jie Lisa et al. (2015) Neural indicators of emotion regulation via acceptance vs reappraisal in remitted major depressive disorder. Soc Cogn Affect Neurosci 10:1187-94
Crowther, Andrew; Smoski, Moria J; Minkel, Jared et al. (2015) Resting-state connectivity predictors of response to psychotherapy in major depressive disorder. Neuropsychopharmacology 40:1659-73
Dichter, Gabriel S; Gibbs, Devin; Smoski, Moria J (2015) A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J Affect Disord 172:8-17
Schiller, Crystal Edler; Minkel, Jared; Smoski, Moria J et al. (2013) Remitted major depression is characterized by reduced prefrontal cortex reactivity to reward loss. J Affect Disord 151:756-62