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Predictors of Therapeutic Response to Treatments for Depression: A Review of Electrophysiologic and Dichotic Listening Studies

Published online by Cambridge University Press:  07 November 2014

Gerard E. Bruder ,
Craig E. Tenke ,
Jonathan W. Stewart ,
Patrick J. McGrath  and
Frederic M. Quitkin
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Abstract

There are few clinical or biologic predictors of response to treatments for depression. This article reviews growing evidence that electrophysiologic and neurocognitive measures of brain function may be of value as predictors of therapeutic response to antidepressants. Initial studies using dichotic listening, quantitative electroencephalography, or event-related brain potential measures have found differences between treatment responsive and nonresponsive subgroups of depressed patients. The neurophysiologic basis for these differences and the potential clinical utility of electrophysiologic and dichotic predictors of treatment out come remain to be determined in future studies.

Type
Feature Articles
Information
CNS Spectrums , Volume 4 , Issue 8: Neurologic Electrophysiology: Closing in on a Moving Picture of the Brain , August 1999 , pp. 30 - 36
Copyright
Copyright © Cambridge University Press 1999

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References

REFERENCES

1. Joyce, PR, Paykel, ES. Predictors of drug response in depression. Arch Gen Psychiatry. 1989;46:89–99.CrossRefGoogle ScholarPubMed
2. Goodwin, FK. Predictors of antidepressant response. Bull Menninger Clin. 1993;57:146–160.Google ScholarPubMed
3. Garvey, M, Hollon, SD, DeRubeis, RJ, Evans, MD, Tuason, VB. Does 24-h urinary MHPG predict treatment response to antidepressants? I. A reveiw. J Affect Disord. 1990;20:173–179.CrossRefGoogle Scholar
4. Mooney, JJ, Schatzberg, AF, Cole, JO et al. , Urinary 3-mehtoxy-4-hydroxyphenylglycol and the depression-type score as predictors of differential responses to antidepressants. J Clin Psychopharmacol. 1991;11:339–343.Google Scholar
5. Ko, HC, Lu, RB, Shiah, IS, Hwang, CC. Plasma free 3-methoxy-4-hydroxyphenylglycol predicts response to fluoxetine. Biol Psychiatry. 1997;41:774–781.Google Scholar
6. Perez, V, Bel, N, Celada, P, Ortiz, J, Alvarez, E, Artigas, F. Relationship between blood serotonergic variables, melancholic traits, and response to antidepressant treatments. J Clin Psychopharmacol. 1998;18:222–230.CrossRefGoogle ScholarPubMed
7. de Groot, MH, Nolen, WA, Huijsman, AM, Bouvy, PF. Lateralized neuropsychological functioning in depressive patients before and after drug therapy. Biol Psychiatry. 1996;40:1282–1287.CrossRefGoogle ScholarPubMed
8. Bruder, GE, Stewart, JW, Voglmaier, MM et al. , Cerebral laterality and depression: relations of perceptual asymmetry to outcome of treatment with tricyclic antidepressants. Neuropsychopharmacology. 1990;3:1–10.Google ScholarPubMed
9. Otto, MW, Fava, M, Rosenbaum, JF, Murphy, CF. Perceptual asymmetry, plasma cortisol, and response to treatment in depressed patients. Biol Psychiatry. 1991;30:703–710.CrossRefGoogle Scholar
10. Bruder, GE, Otto, MW, Stewart, JW et al. , Dichotic listening before and after fluoxetine treatment for major depression: relations of laterality to therapeutic response. Neuropsychopharmacology. 1996;15:171–179.CrossRefGoogle ScholarPubMed
11. Bruder, GE, Stewart, JW, Mercier, MA et al. , Outcome of cognitive-behavioral therapy for depression: relation to hemispheric dominance for verbal processing. J Abnorm Psychol. 1997;106:138–144.CrossRefGoogle ScholarPubMed
12. Suffin, SC, Emory, WH. Neurometric subgroups in attentional and affective disorders and their association with pharmacotherapeutic outcome. Clin Electroencephalogr. 1995;26:76–83.CrossRefGoogle ScholarPubMed
13. Luthringer, R, Mino, R, Toussaint, M, Calvi-Gries, F, Schaltenbrand, N, Macher, JP. All-night EEG spectral analysis as a tool for the prediction of clinical response to antidepressant treatment. Biol Psychiatry. 1995;38:98–104.CrossRefGoogle ScholarPubMed
14. Knott, VJ, Telner, JI, Lapierre, YD, Browne, M, Horn, ER. Quantitative EEG in the prediction of antidepressant response to imipramine. J Affect Disord. 1996;39:175–184.CrossRefGoogle ScholarPubMed
15. Leuchter, AF, Cook, IA, Uijtdehaage, SHJ et al. , Brain structure and function and the outcomes of treatment for depression. J Clin Psychiatry. 1997;58(suppl 16):22–31.Google ScholarPubMed
16. Hegerl, U, Juckel, G. Intensity dependence of auditory evoked potentials as an indicator of central serotonergic neurotransmission: a new hypothesis. Biol Psychiatry. 1993;33:173–187.Google Scholar
17. Paige, SR, Fitzpatrick, DF, Kline, JP, Balogh, SE, Hendricks, SE. Event-related potential amplitude/intensity slopes predict response to antidepressants. Neuropsychobiology. 1994;30:197–201.CrossRefGoogle ScholarPubMed
18. Paige, SR, Hendricks, SE, Fitzpatrick, DF, Balogh, S, Burke, WJ. Amplitude/intensity functions of auditory event-related potentials predict responsiveness to bupropion in major depressive disorder. Psychopharmacol Bull. 1995;31:243–248.Google ScholarPubMed
19. Bruder, GE, Tenke, CE, Stewart, JW et al. , Brain event-related potentials to complex tones in depressed patients: relations to perceptual asymmetry and clinical features. Psychophysiology. 1995;32:373–381.Google Scholar
20. Bruder, GE. Cerebral laterality and psychopathology: perceptual and event-related potential asymmetries in affective and schizophrenic disorders. In: Davidson, R, Hugdahl, K, eds. Brain Asymmetry. Cambridge, Massachusetts Institute of Technology Press; 1995:661–691.Google Scholar
21. Bruder, GE, Quitkin, FM, Stewart, JW, Martin, C, Voglmaier, M, Harrison, UM. Cerebral laterality and depression: differences in perceptual asymmetry among diagnostic subtypes. J Abnorm Psychol. 1989;98:177–186.CrossRefGoogle ScholarPubMed
22. Liebowitz, MR, Quitkin, FM, Stewart, JW et al. , Antidepressant specificity in atypical depression. Arch Gen Psychiatry. 1988;45:129–137.CrossRefGoogle ScholarPubMed
23. John, ER, Prichep, LS, Almas, M. Toward a quantitative electrophysiological classification system in psychiatry. In: Racagni, G, Brunello, N, Fukuda, T, eds. Biological Psychiatry. Vol 2. Amsterdam, The Netherlands: Elsevier; 1991:401–406.Google Scholar
24. Prichep, LS, Mas, F, Hollander, E et al. , Quantitative electroencephalographic subtyping of obsessive-compulsive disorder. Psychiatry Res Neuroimaging. 1993;50:25–32.Google Scholar
25. Shagass, C. Electrical activity of the brain. In: Greenfield, NS, Sternbach, RA, eds. Handbook of Psychophysiology. New York, NY: Holt, Rinehart & Winston; 1972:263–328.Google Scholar
26. George, MS, Ketter, TA, Post, RM. Prefrontal cortex dysfunction in clinical depression. Depression. 1994;2:59–72.CrossRefGoogle Scholar
27. Mayberg, HS, Brannan, SK, Mahurin, RK et al. , Cingulate function in depression: a potential predictor of treatment response. NeuroReport. 1997;8:1057–1061.Google Scholar
28. Leuchter, AF. Predictors of differential response to antidepressant medications. Paper presented at the American Psychiatric Electrophysiology Association Meeting; May 31, 1998; Toronto, Canada.Google Scholar
29. Bruder, GE, Fong, R, Tenke, CE et al. , Regional brain asymmetries in major depression with or without an anxiety disorder: a quantitative EEG study. Biol Psychiatry. 1997;41:939–948.CrossRefGoogle ScholarPubMed
30. Ford, JM, White, PM, Csernansky, JG, Faustman, WO, Roth, WT, Pfefferbaum, A. ERPs in schizophrenia: effects of antipsychotic medication. Biol Psychiatry. 1994;36:153–170.CrossRefGoogle ScholarPubMed
31. Alexopoulos, GS, Meyers, BS, Young, RC, Campbell, S, Silbersweig, D, Charlson, M. “Vascular depression” hypothesis. Arch Gen Psychiatry. 1997;52:915–922.CrossRefGoogle Scholar