Consistent with the directive of PAR-06-355, """"""""Building Translational Research in Integrative Behavioral Science (R21)"""""""", we aim to develop and test a heuristic model that integrates the discoveries and experimental methods on the neural substrates of affective processing from the disciplines of affective neuroscience, psychophysiology, and clinical science. Using a prospective treatment outcome design, we will determine the temporal stability of individual differences of motivational substrates of emotion in healthy and depressed adults, and determine the prognostic accuracy of two separable features of biased affective information processing, affective asymmetry and affective reactivity, as indicators of early treatment outcome with a behavioral treatment for depression, Behavioral Activation. This study fosters collaboration between two affective neuroscience researchers, Drs. Cacioppo and Norris, whose research activities focus on basic behavioral theory and methods to measure affective mechanisms in non-clinical samples, and two clinical researchers whose work focuses on risk prediction and treatment of depression, Drs. Gollan and Gilmer. We will gather data on 100 depressed and non-depressed adults across four measurement occasions at the pre-, mid-, post-treatment, and the three month follow-up evaluations. We will use a multi-method measurement of affective processing in both laboratory and clinical settings using clinical interviews and physiological approaches (e.g., electroencephalography [EEG], facial electromyography [EMG]) and implicit measures that generate indices of affective asymmetry and affective reactivity. The primary independent variables are measures of affective asymmetry (e.g., 8-min resting baseline EEG [Davidson, 1998;negativity bias as measured by greater reactivity [e.g., facial EMG, skin conductance with EDA, and self-report ratings] to negative than to equally arousing and extreme positive stimuli;positivity offset as measured by greater positive than negative effect in response to neutral stimuli) and of affective reactivity (e.g., EEG, EDA, facial EMG while viewing emotional pictures, emotion-modulated startle responses). Our translational approach will positively impact the field of affective neuroscience by testing the degree to which physiological and affective processes linked with activation of neural circuitry predict treatment response and are readily identifiable in the early stages of behavioral treatment.

Public Health Relevance

Consistent with the directive of PAR-06-355, """"""""Building Translational Research in Integrative Behavioral Science (R21)"""""""", we will test an approach that integrates the discoveries and experimental methods from the disciplines of affective neuroscience, psychophysiology, and clinical science. Using a prospective treatment outcome design, we aim to test the degree to which physiological and affective processes, linked with activation of neural circuitry, predict clinical outcome and are readily identifiable in the early stages of behavioral treatment of major depression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21MH082133-02
Application #
7827962
Study Section
Special Emphasis Panel (ZMH1-ERB-C (02))
Program Officer
Kozak, Michael J
Project Start
2009-05-08
Project End
2011-08-31
Budget Start
2010-02-01
Budget End
2011-08-31
Support Year
2
Fiscal Year
2010
Total Cost
$232,055
Indirect Cost
Name
Northwestern University at Chicago
Department
Psychiatry
Type
Schools of Medicine
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
Gollan, Jackie K; Hoxha, Denada; Hunnicutt-Ferguson, Kallio et al. (2016) Twice the negativity bias and half the positivity offset: Evaluative responses to emotional information in depression. J Behav Ther Exp Psychiatry 52:166-170
Gollan, Jackie K; Hoxha, Denada; Hunnicutt-Ferguson, Kallio et al. (2016) The negativity bias predicts response rate to Behavioral Activation for depression. J Behav Ther Exp Psychiatry 52:171-178
Gollan, Jackie K; Hoxha, Denada; Chihade, Dietta et al. (2014) Frontal alpha EEG asymmetry before and after behavioral activation treatment for depression. Biol Psychol 99:198-208
Cacioppo, John T; Cacioppo, Stephanie; Gollan, Jackie K (2014) The negativity bias: conceptualization, quantification, and individual differences. Behav Brain Sci 37:309-10
Miller, Emily S; Chu, Christine; Gollan, Jacqueline et al. (2013) Obsessive-compulsive symptoms during the postpartum period. A prospective cohort. J Reprod Med 58:115-22
Gollan, Jackie K; Hoxha, Denada; Getch, Sarah et al. (2013) Affective information processing in pregnancy and postpartum with and without major depression. Psychiatry Res 206:206-12
Hunnicutt-Ferguson, Kallio; Hoxha, Denada; Gollan, Jackie (2012) Exploring sudden gains in behavioral activation therapy for Major Depressive Disorder. Behav Res Ther 50:223-30
Sidhu, Shawn S; Chandra, Rohit M; Wang, Lei et al. (2012) The effect of an end-of-clerkship review session on NBME psychiatry subject exam scores. Acad Psychiatry 36:226-8
Huang, Jia; Chan, Raymond C K; Gollan, Jackie K et al. (2011) Perceptual bias of patients with schizophrenia in morphed facial expression. Psychiatry Res 185:60-5
Norris, Catherine J; Gollan, Jackie; Berntson, Gary G et al. (2010) The current status of research on the structure of evaluative space. Biol Psychol 84:422-36

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