The long-range objectives are to clarify the nature of abnormalities of cerebral laterality in diagnostic subtypes of affective illness, and to assess the potential value of behavioral and electrophysiologic measures of hemispheric asymmetry for predicting therapeutic response to treatment with antidepressants.
Specific aims are: (1) to bring together, in a collaborative study at Columbia (NYSPI) and Yale (CMHC), a battery of laterality tests that show potential for identifying pathologically distinct subtypes of depression; (2) to obtain converging evidence from EEG and event-related potential (ERP) measures so as to evaluate three models hypothesized to account for abnormal cerebral laterality in depression -- the right frontal inhibition, asymmetric hemispheric arousal, and left anterior/right posterior inactivation models; (3) to expand our electrode array in order to begin to localize ERP sources that relate to hemispheric function in depression; (4) to extend our measurements of brain ERPs in patients having a bipolar disorder with mania. Three studies are proposed to accomplish these aims. The first will test depressed patients and normal controls from NYSPI and CMHC on a battery of laterality tests including: dichotic complex tones, dichotic fused words and syllables, visual dot enumeration, and a free-field faces task. A separate sample of 100 depressed patients and 30 normal controls will be tested at each center. A second study will record electrophysiologic measures in 60 of the patients and all 30 controls at NYSPI. The measures include: resting EEG alpha and ERPs recorded during the dichotic complex tone and visuospatial tests. ERPs of an additional 30 depressed patients and all 30 controls will also be recorded in a RT attention paradigm so as to provide measures of attention-related cortical activation. A third study will test 40 patients having a bipolar disorder with mania. These patients will be tested in a manic and a euthymic state so as to further investigate changes in hemispheric asymmetry accompanying these emotional states.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH036295-10
Application #
3375858
Study Section
Special Emphasis Panel (SRCM (04))
Project Start
1982-09-28
Project End
1996-08-31
Budget Start
1993-09-01
Budget End
1994-08-31
Support Year
10
Fiscal Year
1993
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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