Skip to main content

Covariation bias in depression - a predictor of treatment response?

Abstract

Covariation bias, defined as an overestimation of the relationship between fear-relevant stimuli and aversive consequences, is a well-investigated cognitive bias in anxiety disorders. As patients with affective disorders also show biased information processing, the aim of the present study was to investigate whether depressed patients also display a covariation bias between negative stimuli and aversive consequences. Covariation estimates of 62 inpatients with a current severe depressive episode were assessed at admission (n = 31) or after 6 weeks of treatment (n = 31) and were compared in a between-group design with 31 age- and sex-matched healthy controls. All participants showed a covariation bias for the relationship between negative stimuli and aversive consequences. Moreover, covariation bias at admission was significantly associated with various clinician- and self-reported dimensional measures of treatment response assessed 6 weeks later (Global Assessment of Functioning, Clinical Global Impression Scale, and Beck Depression Inventory), i.e., patients with a stronger bias showed greater impairment after 6 weeks of treatment. Categorical analyses revealed that overall, treatment non-responders—but not responders—were characterized by a covariation bias. The naturalistic study design without standardized pharmacological and psychotherapeutic treatments is a central limitation. We conclude that the covariation bias may constitute a possible marker in the field of emotional information processing in the search for effective predictors of therapy outcome.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3

References

  • Amrhein C, Pauli P, Dengler W, Wiedemann G (2005) Covariation bias and its physiological correlates in panic disorder patients. J Anxiety Disord 19(2):177–191

    Article  Google Scholar 

  • Ataya AF, Adams S, Mullings E, Cooper RM, Attwood AS, Munafo MR (2012) Methodological considerations in cognitive bias research: the next steps. Drug Alcohol Depend 124(3):191–192

    Article  Google Scholar 

  • Beck AT (1976) Cognitive therapy and the emotional disorders. International Universities Press, New York

    Google Scholar 

  • Beck AT, Bredemeier K (2016) A unified model of depression: Integrating clinical, cognitive, biological, and evolutionary perspectives. Clin Psychol Sci 4(4):596–619

    Article  Google Scholar 

  • de Jong PJ, Merckelbach H (1993) Covariation bias, classical conditioning, and phobic fear. Integr Physiol Behav Sci 28(2):167–170

    Article  Google Scholar 

  • de Jong PJ, Merckelbach H, Arntz A, Nijman H (1992) Covariation detection in treated and untreated spider phobics. J Abnorm Psychol 101(4):724–727

    Article  Google Scholar 

  • de Jong PJ, van den Hout MA, Merckelbach H (1995a) Covariation bias and the return of fear. Behav Res Ther 33(2):211–213

    Article  Google Scholar 

  • de Jong PJ, Merckelbach H, Arntz A (1995b) Covariation bias in phobic women: the relationship between a priori expectancy, on-line expectancy, autonomic responding, and a posteriori contingency judgment. J Abnorm Psychol 104(1):55–62

    Article  Google Scholar 

  • De Jong PJ, Merckelbach H, Bogels S, Kindt M (1998) Illusory correlation and social anxiety. Behav Res Ther 36(11):1063–1073

    Article  Google Scholar 

  • Domschke K, Muller DJ, Serretti A (2015) Personalized therapies in psychiatry: promises, pitfalls and perspectives. J Neural Transm (Vienna) 122(1):1–3

    Article  Google Scholar 

  • Fava M (2003) Diagnosis and definition of treatment-resistant depression. Biol Psychiatry 53(8):649–659

    Article  Google Scholar 

  • Fava M, Kendler KS (2000) Major depressive disorder. Neuron 28(2):335–341

    CAS  Article  Google Scholar 

  • Fava M, Rush AJ, Alpert JE, Balasubramani GK, Wisniewski SR, Carmin CN, Biggs MM, Zisook S, Leuchter A, Howland R, Warden D, Trivedi MH (2008) Difference in treatment outcome in outpatients with anxious versus nonanxious depression: a STAR*D report. Am J Psychiatry 165(3):342–351

    Article  Google Scholar 

  • Gotlib IH, Joormann J (2010) Cognition and depression: current status and future directions. Annu Rev Clin Psychol 6:285–312

    Article  Google Scholar 

  • Guy W (1976) Clinical global impressions. In: Guy W (ed) ECDEU assessment manual for psychopharmacology (Revised). National Institut of Mental Health, Rockville, pp 217–221

    Google Scholar 

  • Hallion LS, Ruscio AM (2011) A meta-analysis of the effect of cognitive bias modification on anxiety and depression. Psychol Bull 137(6):940–958

    Article  Google Scholar 

  • Hamilton M (1960) A rating scale for depression. J Neurol Neurosurg Psychiatry 23:56–62

    CAS  Article  Google Scholar 

  • Hautzinger M, Bailer M, Worall H, Keller F (1994) Beck-Depressions-Inventar (BDI). Testhandbuch. 1 edn. Hans Huber, Bern

  • Johnson SL, Joormann J, Gotlib IH (2007) Does processing of emotional stimuli predict symptomatic improvement and diagnostic recovery from major depression? Emotion (Washington, DC) 7(1):201–206

    Article  Google Scholar 

  • Kemp AH, Gordon E, Rush AJ, Williams LM (2008) Improving the prediction of treatment response in depression: integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. CNS Spectr 13(12):1066–1086 (quiz 1087–1068)

    Article  Google Scholar 

  • Lang PJ, Bradley MM, Cuthbert BN (2005) International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical Report A-6. University of Florida, Gainesville

  • Libkuman TM, Otani H, Kern R, Viger SG, Novak N (2007) Multidimensional normative ratings for the International Affective Picture System. Behav Res Methods 39(2):326–334

    Article  Google Scholar 

  • Mathews A, MacLeod C (2005) Cognitive vulnerability to emotional disorders. Annu Rev Clin Psychol 1:167–195

    Article  Google Scholar 

  • Mayer B, Muris P, Wilschut M (2011) Fear- and disgust-related covariation bias and eating disorders symptoms in healthy young women. J Behav Ther Exp Psychiatry 42(1):19–25

    Article  Google Scholar 

  • Mayer B, Muris P, Kramer Freher N, Stout J, Polak M (2012) Covariation bias for food-related control is associated with eating disorders symptoms in normal adolescents. J Behav Ther Exp Psychiatry 43(4):1008–1013

    Article  Google Scholar 

  • Miskowiak KW, Larsen JE, Harmer CJ, Siebner HR, Kessing LV, Macoveanu J, Vinberg M (2018) Is negative self-referent bias an endophenotype for depression? An fMRI study of emotional self-referent words in twins at high vs. low risk of depression. J Affect Disord 226:267–273

    CAS  Article  Google Scholar 

  • Papakostas GI (2012) Surrogate markers of treatment outcome in major depressive disorder. Int J Neuropsychopharmacol 15(6):841–854

    Article  Google Scholar 

  • Pauli P, Montoya P, Martz G-E (1996) Covariation bias in panic-prone individuals. J Abnorm Psychol 105(4):658–662

    CAS  Article  Google Scholar 

  • Roiser JP, Elliott R, Sahakian BJ (2012) Cognitive mechanisms of treatment in depression. Neuropsychopharmacology 37(1):117–136

    CAS  Article  Google Scholar 

  • Saß H, Wittchen HU, Zaudig M (2003) Diagnostisches und statistisches Manual psychischer Störungen DSM-IV-TR. Hogrefe, Göttingen

    Google Scholar 

  • Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC (1998) The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 59(Suppl 20):22–33 (quiz 34–57)

    PubMed  Google Scholar 

  • Spielberger CD, Gorsuch RL, Lushene RE (1970) Manual for the state-trait anxiety inventory. Consulting Psychologists Press, Palo Alto

    Google Scholar 

  • Stratta P, Tempesta D, Bonanni RL, de Cataldo S, Rossi A (2014) Emotional reactivity in bipolar depressed patients. J Clin Psychol 70(9):860–865

    CAS  Article  Google Scholar 

  • Strauss GP, Allen DN, Jorgensen ML, Cramer SL (2005) Test–retest reliability of standard and emotional stroop tasks: an investigation of color-word and picture-word versions. Assessment 12(3):330–337

    Article  Google Scholar 

  • Tomarken AJ, Mineka S, Cook M (1989) Fear-relevant selective associations and covariation bias. J Abnorm Psychol 98(4):381–394

    CAS  Article  Google Scholar 

  • Wiemer J, Pauli P (2016a) Fear-relevant illusory correlations in different fears and anxiety disorders: a review of the literature. J Anxiety Disord 42:113–128

    Article  Google Scholar 

  • Wiemer J, Pauli P (2016b) How fear-relevant illusory correlations might develop and persist in anxiety disorders: a model of contributing factors. J Anxiety Disord 44:55–62

    Article  Google Scholar 

  • Wiemer J, Mühlberger A, Pauli P (2014a) Illusory correlations between neutral and aversive stimuli can be induced by outcome aversiveness. Cogn Emot 28(2):193–207

    Article  Google Scholar 

  • Wiemer J, Schulz S, Reicherts P, Glotzbach-Schoon E, Andreatta M, Pauli P (2014b) Brain activity associated with illusory correlations in animal phobia. Soc Cogn Affect Neurosci 10(7):969–977

    Article  Google Scholar 

  • Wittchen HU, Zaudig M, Fydrich T (1997) SKID-I: Strukturiertes Klinisches Interview für DSM-IV, Achse 1: psychische Störungen. Hogrefe, Göttingen

    Google Scholar 

  • Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jönsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, Fratiglioni L, Jennum P, Lieb R, Maercker A, van Os J, Preisig M, Salvador-Carulla L, Simon R, Steinhausen HC (2011) The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol 21(9):655–679

    CAS  Article  Google Scholar 

  • Zakzanis KK, Leach L, Kaplan E (1998) On the nature and pattern of neurocognitive function in major depressive disorder. Neuropsychiatry Neuropsychol Behav Neurol 11(3):111–119

    CAS  PubMed  Google Scholar 

Download references

Funding

This work was supported by a grant from the Interdisciplinary Center for Clinical Research (IZKF), University of Wuerzburg (N-258 to LH), and from the German Research Foundation DFG, SFB-TRR-58, projects B01 to PP and project B05, and DFG project 378414384 to JW.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Paul Pauli.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed written consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Table 4.

Table 4 IAPS slides used in the experimental task

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Stonawski, S., Wiemer, J., Wurst, C. et al. Covariation bias in depression - a predictor of treatment response?. J Neural Transm 126, 1653–1665 (2019). https://doi.org/10.1007/s00702-019-02091-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00702-019-02091-z

Keywords

  • Covariation bias
  • Affective disorders
  • Severe depressive episode
  • Treatment response