The long range objectives are to clarify the nature of abnormal perceptual and electrophysiologic asymmetries in affective disorders, and to assess the value of brain asymmetry measures for predicting outcome of antidepressant treatment.
Specific aims are: 1) to evaluate a three-factor model in which symptoms of general negative affect, anxious arousal and anhedonia are hypothesized to be related to specific regional brain asymmetries; 2) to compare asymmetries of patients having a depressive disorder alone, an anxiety disorder alone, or both disorders; 3) to test the prediction that anxious arousal is associated with right parietotemporal activation; 4) to evaluate predicted differences in regional brain asymmetries between anhedonic and nonanhedonic subgroups of depression; 5) to test a large sample of patients on electrophysiologic measures so as to evaluate predicted differences in hemispheric asymmetries between treatment responsive and nonresponsive subgroups. A total of 200 unmedicated patients and 40 normal controls will be tested on a battery of behavioral laterality, resting electroencephalography (EEG), and cognitive event-related potential (ERP) measures in three studies. Study 1 uses a 2 X 2 design to compare patients having a MDD only, an anxiety disorder only (panic or social phobia) or both disorders, and normal controls. Subjects are also tested on electrodermal and psychometric measures of anxious arousal. Study 2 compares subgroups of anhedonic and nonanhedonic depression formed on the basis of self-reports, structured assessments of responses to pleasurable stimuli, and """"""""interview-based"""""""" diagnoses. Study 3 compares antidepressant responders and nonresponders on the behavioral and electrophysiologic tests, as well as on the assessments of anhedonia. These studies should contribute to the identification of subtypes of depression and characteristic regional brain asymmetries and distinctive clinical features.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH036295-14
Application #
2635469
Study Section
Clinical Neuroscience and Biological Psychopathology Review Committee (CNBP)
Project Start
1982-09-28
Project End
2001-12-31
Budget Start
1998-01-01
Budget End
1998-12-31
Support Year
14
Fiscal Year
1998
Total Cost
Indirect Cost
Name
New York State Psychiatric Institute
Department
Type
DUNS #
167204994
City
New York
State
NY
Country
United States
Zip Code
10032
Tenke, Craig E; Kayser, Jürgen; Pechtel, Pia et al. (2017) Demonstrating test-retest reliability of electrophysiological measures for healthy adults in a multisite study of biomarkers of antidepressant treatment response. Psychophysiology 54:34-50
Bruder, Gerard E; Stewart, Jonathan W; McGrath, Patrick J (2017) Right brain, left brain in depressive disorders: Clinical and theoretical implications of behavioral, electrophysiological and neuroimaging findings. Neurosci Biobehav Rev 78:178-191
Tenke, Craig E; Kayser, Jürgen; Svob, Connie et al. (2017) Association of posterior EEG alpha with prioritization of religion or spirituality: A replication and extension at 20-year follow-up. Biol Psychol 124:79-86
Kayser, Jürgen; Tenke, Craig E (2015) On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. Int J Psychophysiol 97:171-3
Kishon, Ronit; Abraham, Karen; Alschuler, Daniel M et al. (2015) Lateralization for speech predicts therapeutic response to cognitive behavioral therapy for depression. Psychiatry Res 228:606-11
Kayser, Jürgen; Tenke, Craig E (2015) Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review. Int J Psychophysiol 97:189-209
Tenke, Craig E; Kayser, Jürgen (2015) Surface Laplacians (SL) and phase properties of EEG rhythms: Simulated generators in a volume-conduction model. Int J Psychophysiol 97:285-98
Tenke, Craig E; Kayser, Jürgen; Abraham, Karen et al. (2015) Posterior EEG alpha at rest and during task performance: Comparison of current source density and field potential measures. Int J Psychophysiol 97:299-309
Bruder, Gerard E; Alvarenga, Jorge E; Alschuler, Daniel et al. (2014) Neurocognitive predictors of antidepressant clinical response. J Affect Disord 166:108-14
Miller, Lisa; Bansal, Ravi; Wickramaratne, Priya et al. (2014) Neuroanatomical correlates of religiosity and spirituality: a study in adults at high and low familial risk for depression. JAMA Psychiatry 71:128-35

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