Internalizing psychopathologies (IPs) involving depression and anxiety are among the most prevalent, costly and disabling illnesses. Treatments for IPs are available but the extent to which individual patients respond is quite heterogeneous. Little information exists, particularly in the biological domain, which helps to explain individual differences in treatment response. The NIMH's Research Domain Criteria (RDoC) project may solve this problem by encouraging innovative research beyond certain categorical disorders and their associated symptoms, towards broader, core (RDoC) constructs related to brain pathophysiology, and that are shared across disorders. IPs share similar patterns of dysfunction within the Fronto-Limbic Affect Regulation and Emotional Salience (FLARES) brain circuit, and two commonly used, 'gold standard'treatments - selective serotonin reuptake inhibitors (SSRIs) and cognitive behavioral therapies (CBTs) - are equally effective for both anxiety and depressive disorders, and appear to change brain activity in the same areas within the FLARES circuit. The overarching goal of the proposed project is delineate what are common versus specific FLARE brain targets for SSRI and CBT and identify specific aspects of FLARE dysfunction that might better predict response to both and to a specific modality of treatment. The proposed experiments integrate emotion and its interaction with cognition across several stages of emotional experience, encompassing studies that probe sensitivity to acute and potential threat and automatic and volitional forms of affect regulation in relation to the FLARES brain network. These experiments will generate data on the negative valence systems (NVS) RDoC domain for multiple layers of analysis (fMRI and EEG for neural circuits, skin conductance and startle response for physiology, performance and self-reports for behavior). We propose to enroll 200 patients presenting to our Mood and Anxiety Disorders Program seeking treatment for disabling 'anxiety, worry, depressed mood'(IP,s including those characterized as Not Otherwise Specified) and randomize them to a 12-week course of SSRI or CBT. Dimensional, transdiagnostic NVS constructs, including FLARES function, will be measured before and after each treatment. Specifically, the project will examine 2 Specific Aims: 1) Where and how do SSRI and CBT treatments exert their effects on NVS constructs?;and 2) Which NVS construct can predict the likelihood of success from SSRI and CBT treatment? Such findings can be used to guide the right patients to the right treatments with the highest likelihood of success. They also elucidate a pathophysiologically-driven mechanistic model of where and how treatments work in the brain and thus hasten the development of new treatments that target the underlying pathophysiology across internalizing conditions.

Public Health Relevance

Internalizing psychopathologies (IPs) involving depression and anxiety are among the most prevalent, costly and disabling illnesses. Not everyone who gets treatment for depression and anxiety gets better. We do not know very much about how treatments work in the brain, or how differences in brain function may be used to guide the right patient to the right treatment with the highest likelihood of success. The proposed study uses state-of-the-science approaches to study brain and behavior in patients with depression and/or anxiety in the context of medication treatment and psychotherapy to help us better understand how treatments work and for whom.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
3R01MH101497-02S1
Application #
8875269
Study Section
Program Officer
Kozak, Michael J
Project Start
2013-08-23
Project End
2016-05-31
Budget Start
2014-09-05
Budget End
2015-05-31
Support Year
2
Fiscal Year
2014
Total Cost
$51,045
Indirect Cost
$19,102
Name
University of Illinois at Chicago
Department
Psychiatry
Type
Schools of Medicine
DUNS #
098987217
City
Chicago
State
IL
Country
United States
Zip Code
60612
Shankman, Stewart A; Gorka, Stephanie M; Nelson, Brady D et al. (2014) Anterior insula responds to temporally unpredictable aversiveness: an fMRI study. Neuroreport 25:596-600