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Inhibitory deficits for negative information in persons with major depressive disorder

Published online by Cambridge University Press:  24 April 2007

MARK A. LAU ,
BRUCE K. CHRISTENSEN ,
LANCE L. HAWLEY ,
MICHAEL S. GEMAR  and
ZINDEL V. SEGAL
MARK A. LAU*
Affiliation:
Centre for Addiction and Mental Health, Toronto, Ontario, Canada Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
BRUCE K. CHRISTENSEN
Affiliation:
Centre for Addiction and Mental Health, Toronto, Ontario, Canada Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
LANCE L. HAWLEY
Affiliation:
Centre for Addiction and Mental Health, Toronto, Ontario, Canada
MICHAEL S. GEMAR
Affiliation:
Centre for Addiction and Mental Health, Toronto, Ontario, Canada
ZINDEL V. SEGAL
Affiliation:
Centre for Addiction and Mental Health, Toronto, Ontario, Canada Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
*
*Address for correspondence: Dr Mark A. Lau, BC Mental Health & Addiction Services, 201–601 West Broadway, Vancouver, British Columbia, V5Z 4C2, Canada. (Email: [email protected])
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Abstract

Background

Within Beck's cognitive model of depression, little is known about the mechanism(s) by which activated self-schemas result in the production of negative thoughts. Recent research has demonstrated that inhibitory dysfunction is present in depression, and this deficit is likely valence-specific. However, whether valence-specific inhibitory deficits are associated with increased negative cognition and whether such deficits are specific to depression per se remains unexamined. The authors posit the theory that inhibitory dysfunction may influence the degree to which activated self-schemas result in the production of depressive cognition.

Method

Individuals with major depressive disorder (MDD, n=43) versus healthy (n=36) and non-depressed anxious (n=32) controls were assessed on the Prose Distraction Task (PDT), a measure of cognitive inhibition, and the Stop-Signal Task (SST), a measure of motor response inhibition. These two tasks were modified in order to present emotionally valenced semantic stimuli (i.e. negative, neutral, positive).

Results

Participants with MDD demonstrated performance impairments on the PDT, which were most pronounced for negatively valenced adjectives, relative to both control groups. Moreover, these impairments correlated with self-report measures of negative thinking and rumination. Conversely, the performance of the MDD participants did not differ from either control group on the SST.

Conclusions

Implications of these findings for understanding the mechanisms underlying the development and maintenance of depressive cognition are discussed.

Type
Original Article
Information
Psychological Medicine , Volume 37 , Issue 9 , September 2007 , pp. 1249 - 1259
Copyright
Copyright © Cambridge University Press 2007

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References

REFERENCES

Ackermann-Engel, R. A. & DeRubeis, R. J. (1993). The role of cognition in depression. In Psychopathology and Cognition (ed. Dobson, K. S. and Kendall, P. C.), pp. 91–106. Academic Press: San Diego.Google Scholar
APA (1994). Diagnostic and Statistical Manual of Mental Disorders (4th edn, text revision). American Psychiatric Association: Washington, DC.Google Scholar
Beck, A. T. (1967). Depression: Causes and Treatment. University of Pennsylvania Press: Philadelphia.Google Scholar
Beck, A. T. & Steer, R. A. (1993). Beck Anxiety Inventory Manual. Harcourt Brace: San Antonio, TX.Google Scholar
Beck, A. T., Rush, A. J., Shaw, B. F. & Emery, G. (1979). Cognitive Therapy of Depression. Guilford Press: New York.Google Scholar
Beck, A. T., Steer, R. A. & Brown, G. K. (1996). Beck Depression Inventory – Second Edition Manual. The Psychological Corporation: San Antonio, TX.Google Scholar
Benoit, G., Fontin, L., Lemelin, S., Laplante, L., Thomas, J. & Everett, J. (1992). L'attention selective dans la depression majeure: ralentissement clinique et inhibition cognitive. Canadian Journal of Psychology 46, 41–52.CrossRefGoogle Scholar
Bradley, B. & Mathews, A. (1988). Memory bias in recovered clinical depressives. Cognition and Emotion 2, 235–245.CrossRefGoogle Scholar
Buchsbaum, M. S., Lee, S., Haier, R., Wu, J. C., Green, M. & Tang, S. W. (1988). Effects of amoxapine and imipramine on evoked potentials in the Continuous Performance Test in patients with affective disorder. Neuropsychologia 20, 15–22.Google Scholar
Clark, D. A., Beck, A. T. & Alford, B. A. (1998). Scientific Foundations of Cognitive Therapy and Therapy of Depression. John Wiley: New York.Google Scholar
Clark, D. A., Beck, A. T. & Brown, G. (1989). Cognitive mediation in general psychiatric outpatients: a test of the content-specificity hypothesis. Journal of Personality and Social Psychology 56, 958–964.CrossRefGoogle Scholar
Connelly, S. L., Hasher, L. & Zacks, R. T. (1991). Age and reading: the impact of distraction. Psychology and Aging 6, 533–541.CrossRefGoogle ScholarPubMed
Cornblatt, B. A. & Lenzenweger, M. F. (1989). The Continuous Performance Test, identical pairs version: contrasting attentional profiles in schizophrenic and depressed patients. Psychological Research 29, 65–86.Google Scholar
Dale, E. & O'Rourke, J. (1981). The Living Word Vocabulary. Worldbook Childcraft International: Chicago, IL.Google Scholar
Everett, J., Laplante, L. & Thomas, J. (1989). The selective attention deficit in schizophrenia: limited resources or cognitive fatigue? Journal of Nervous and Mental Disease 177, 735–738.CrossRefGoogle ScholarPubMed
First, M. B., Spitzer, R. L., Gibbon, M. & Williams, J. B. W. (1995). Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-IP). American Psychiatric Press: Washington, DC.Google Scholar
Garber, J. & Hollon, S. D. (1991). What can specificity designs say about causality in psychopathology research? Psychological Bulletin 110, 129–136.CrossRefGoogle ScholarPubMed
Gerard, L., Zacks, R. T., Hasher, L. & Radvansky, G. A. (1991). Age deficits in retrieval: the fan effect. Journal of Gerontology: Psychological Sciences 46, 131–136.CrossRefGoogle ScholarPubMed
Goeleven, E., De Raedt, R., Baert, S. & Koster, H. W. (2006). Deficient inhibition of emotional information in depression. Journal of Affective Disorders 93, 149–157.CrossRefGoogle ScholarPubMed
Gotlib, I. H., Krasnoperova, E., Yue, D. N. & Joormann, J. (2004). Attentional biases for negative interpersonal stimuli in clinical depression. Journal of Abnormal Psychology 113, 127–135.CrossRefGoogle ScholarPubMed
Gotlib, I. H., McLachlan, A. L. & Katz, A. N. (1988). Biases in visual attention in depressed and nondepressed individuals. Cognition and Emotion 2, 185–200.CrossRefGoogle Scholar
Gotlib, I. H., Neubauer, Yue D. & Joorman, J. (2005). Selective attention in dysphoric individuals: the role of affective interference and inhibition. Cognitive Therapy and Research 29, 417–432.CrossRefGoogle Scholar
Greenberg, M. S. & Beck, A. T. (1989). Depression versus anxiety: processing of self and other-referent information. Cognition and Emotion 2, 185–200.Google Scholar
Haaga, D. A., Dyck, M. J. & Ernst, D. (1991). Empirical status of cognitive theory of depression. Psychology Bulletin 110, 215–236.CrossRefGoogle ScholarPubMed
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery and Psychiatry 23, 56–62.CrossRefGoogle Scholar
Harnishfeger, K. K. (1995). The development of cognitive inhibition: theories, definitions, and research evidence. In Interference and Inhibition in Cognition (ed. Dempster, F. N. and Brainerd, C. J.), pp. 175–204. Academic Press: New York.CrossRefGoogle Scholar
Harrell, T. H. & Ryan, N. B. (1983). Cognitive-behavioral assessment of depression: clinical validation of the Automatic Thoughts Questionnaire. Journal of Consulting and Clinical Psychology 51, 721–725.CrossRefGoogle ScholarPubMed
Hasher, L. & Zacks, R. T. (1988). Age and inhibition. Journal of Experimental Psychology: Learning, Memory, and Cognition 17, 163–169.Google Scholar
Hollon, S. D. & Kendall, P. C. (1980). Cognitive self-statements in depression: development of an automatic thoughts questionnaire. Cognitive Therapy and Research 4, 383–395.CrossRefGoogle Scholar
Ingram, R. E., Kendall, P. C., Smith, T. W., Donnell, C. & Ronan, K. (1987). Cognitive specificity in emotional distress. Journal of Personality and Social Psychology 53, 734–742.CrossRefGoogle ScholarPubMed
Joormann, J. (2004). Selective attention in dysphoria: the role of inhibitory processes. Cognition & Emotion 18, 125–147.CrossRefGoogle Scholar
Kraemer, H. C., Kazdin, A. E., Offord, D. R., Kessler, R. C., Jensen, P. S. & Kupfer, D. J. (1997). Coming to terms with the terms of risk. Archives of General Psychiatry 54, 337–343.CrossRefGoogle Scholar
Kucera, H. & Francis, W. N. (1967). Computational Analysis of Present-day American English. Brown University Press: Providence, RI.Google Scholar
Lemelin, S., Baruch, P., Vincent, A., Laplante, L., Everett, J. & Vincent, P. (1996). Attention disturbance in clinical depression: deficient distractor inhibition or processing resource deficit? Journal of Nervous and Mental Disease 184, 114–121.CrossRefGoogle ScholarPubMed
Lezak, D. M. (1983). Neuropsychological Assessment (2nd edn). Oxford University Press: New York.Google Scholar
Linville, P. (1996). Attention inhibition: does it underlie ruminative thought? Advances in Social Cognition 9, 121–134.Google Scholar
Logan, G. D., Schachar, R. J. & Tannock, R. (1997). Impulsivity and inhibitory control. Psychological Science 8, 60–64.CrossRefGoogle Scholar
McCabe, S. B. & Gotlib, I. H. (1993). Attentional processing in clinically depressed subjects: a longitudinal investigation. Cognitive Therapy and Research 17, 359–377.CrossRefGoogle Scholar
McCabe, S. B. & Gotlib, I. H. (1995). Selective attention and clinical depression: performance on a deployment of attention task. Journal of Abnormal Psychology 104, 241–245.CrossRefGoogle ScholarPubMed
McNeely, H. E., Christensen, B. K., Lau, M., Yu, H. & Alain, C. (2005). ERPs underlying Emotional Stroop performance in persons with Major Depression. Presented at the Society for Psychophysiological Research, Lisbon, Portugal.Google Scholar
Miranda, J., Persons, J. B. & Byers, C. (1990). Endorsement of dysfunctional beliefs depends on current mood state. Journal of Abnormal Psychology 99, 237–241.CrossRefGoogle ScholarPubMed
Murphy, F. C., Sahakian, B. J., Rubinsztein, J. S., Michael, A., Rogers, R. D., Robbins, T. W. & Paykel, E. S. (1999). Emotional bias and inhibitory control processes in mania and depression. Psychological Medicine 29, 1307–1321.CrossRefGoogle ScholarPubMed
Nigg, J. T. (2000). On inhibition/disinhibition in developmental psychopathology: views from cognitive and personality psychology and a working inhibition taxonomy. Psychological Bulletin 126, 220–246.CrossRefGoogle Scholar
Nolen-Hoeksema, S. & Morrow, J. (1991). A prospective study of depression and post-traumatic stress symptoms after a natural disaster: the 1989 Loma Preita earthquake. Journal of Personality and Social Psychology 61, 115–121.CrossRefGoogle ScholarPubMed
Nolen-Hoeksema, S., Parker, L. E. & Larson, J. (1994). Ruminative coping with depressed mood following loss. Journal of Personality and Social Psychology 67, 92–104.CrossRefGoogle ScholarPubMed
Raskin, A., Friedman, A. S. & DeMascio, A. (1982). Cognitive and performance deficits in depression. Psychopharmacological Bulletin 18, 196–202.Google ScholarPubMed
Rosenthal, R. (1991). Meta-Analytic Procedures for Social Research. Sage Publications: London.CrossRefGoogle Scholar
Schachar, R., Mota, V. L., Logan, G. D., Tannock, R. & Klim, P. (2000). Confirmation of an inhibitory control deficit in attention-deficit/hyperactivity disorder. Journal of Abnormal Child Psychology 28, 227–235.CrossRefGoogle ScholarPubMed
Segal, Z. V., Gemar, M., Truchon, C., Guirguis, M. & Horowitz, L. M. (1995). A priming methodology for studying self-representation in Major Depressive Disorder. Journal of Abnormal Psychology 104, 204–213.CrossRefGoogle ScholarPubMed
Segal, Z., Gemar, M. & Williams, S. (1999). Differential cognitive response to a mood challenge following successful cognitive therapy or pharmacotherapy for unipolar depression. Journal of Abnormal Psychology 108, 3–10.CrossRefGoogle ScholarPubMed
Sobin, C. & Sackheim, H. A. (1997). Psychomotor symptoms of depression. American Journal of Psychiatry 154, 4–17.Google ScholarPubMed
Spreen, O. & Strauss, E. (1991). A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary. Oxford University Press: New York.Google Scholar
Tabachnick, B. G. & Fidell, L. S. (1996). Using Multivariate Statistics (3rd edn). HarperCollins College Publishers: New York.Google Scholar
Tannock, R., Schachar, R. & Logan, G. D. (1995). Methylphenidate and cognitive flexibility: dissociated dose effects on behavior and cognition in hyperactive children. Journal of Abnormal Child Psychology 23, 235–266.CrossRefGoogle ScholarPubMed
Teasdale, J. D. & Barnard, P. J. (1993). Affect, Cognition and Change: Remodelling Depressive Thought. Lawrence Erlbaum Associates: Hillsdale, N.J.Google Scholar
Tipper, S. P. (1985). The negative priming effect: inhibition priming by ignored objects. Quarterly Journal of Experimental Psychology 37A, 571–590.CrossRefGoogle Scholar
Tipper, S. P. & Baylis, G. C. (1987). Individual differences in selective attention: the relation of priming and interference to cognitive failure. Personality and Individual Differences 8, 667–675.CrossRefGoogle Scholar
Wechsler, D. (1981). A manual for the Wechsler Adult Intelligence Scale – Revised. Psychological Corporation: New York.Google Scholar
Westra, H. A. & Kuiper, N. A. (1996). Cognitive content specificity in selective attention across four domains of maladjustment. Behavioral Research and Therapy 4, 349–365.Google Scholar
White, D. A., Myerson, J. & Hale, S. (1997). How cognitive is psychomotor slowing in depression? Evidence from a meta-analysis. Aging, Neuropsychology & Cognition, Special Issue: Comparative Adult Cognition 4, 166–174.CrossRefGoogle Scholar
Wilkinson, G. S. (1993). The Wide Range Achievement Test – 3. The Psychological Corporation: San Antonio, TX.Google Scholar
Williams, J. M. G., Watts, F. N., MacLeod, C. & Mathews, A. (1997). Cognitive Psychology and Emotional Disorders. Wiley: Chichester, UK.Google Scholar