PROJECT SUMMARY/ABSTRACT Major depressive disorder (MDD) is a prevalent and debilitating disorder that is characterized by high levels of negative affect (NA). One mechanism that may serve as a phenotype for depression risk is impaired cognitive control of NA following loss, which is also linked to atypical parasympathetic responses to loss. The Candidate will extend his background in cognitive and affective risk factors for MDD to examine the neural networks supporting cognitive control and affect regulation integrating an RDoC loss construct across multiple modalities. This will develop his mechanistic understanding and expertise in interactions between cognitive and affective systems that underlie dysfunctional self-regulation in depression. The Candidate will learn to: 1) evaluate task-based activity and interactions between intrinsic connectivity networks supporting cognitive control and emotion processing (Training Aim 1 (TA1)); 2) integrate multi-modal, multi-level data and learn the advanced statistical modeling necessary to dimensionally link fMRI to parasympathetic and affective responses (TA2). In addition, in the latter years of the award, the candidate will learn to use the methodology of EMA and ambulatory parasympathetic assessment to link neural networks that support the cognitive control of emotion to lab and real-world affective/physiological regulation (TA3). In line with these training aims, the Candidate's short-term career goals are to understand the neural networks underlying the cognitive control of emotion, and to test the ecological validity of lab-based assessments of neural and parasympathetic responses to loss for affect regulation. This Career Development Award will allow the Candidate to advance the cognitive neuroscience of depression with the long-term career goal of identifying cognitive and affective phenotypic risk markers for the development and progression of mood disorders. The University of Illinois at Chicago (UIC) is the ideal setting for the candidate's research, with ongoing development of local resources such as an independent research-dedicated 3T scanner and one of only 22 nationwide National Network of Depression Centers. Mentor Scott Langenecker is an expert in the cognitive and affective neuroscience of mood disorders across the adult lifespan, a leader in RDoC research techniques, and has an established expertise in mechanistic approaches for studying depression. The Specific Research Aims afford an excellent opportunity for the Candidate to learn and demonstrate expertise in the necessary skills to propel him to independence. Contextually-appropriate task-based activation in networks supporting cognitive control and emotion processing (Specific Aim 1) will be evaluated among thirty-five young adults (ages 18-27) with a history of MDD who are currently remitted (rMDD) and thirty-five matched healthy controls (HCs). Parasympathetic activity and affect regulation will be assessed during a laborator...