Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-23T22:46:45.544Z Has data issue: false hasContentIssue false

Associations between mood instability and emotional processing in a large cohort of bipolar patients

Published online by Cambridge University Press:  30 August 2016

A. C. Bilderbeck*
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
Z. E. Reed
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, UK.
H. C. McMahon
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
L. Z. Atkinson
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
J. Price
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
J. R. Geddes
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
G. M. Goodwin
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
C. J. Harmer
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, UK
*
*Address for correspondence: Dr A. C. Bilderbeck, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK. (Email: amy.bilderbeck@psych.ox.ac.uk)

Abstract

Background

Aberrant emotional biases have been reported in bipolar disorder (BD), but results are inconsistent. Despite the clinical relevance of chronic mood variability in BD, there is no previous research investigating how the extent of symptom fluctuations in bipolar disorder might relate to emotional biases. This exploratory study investigated, in a large cohort of bipolar patients, whether instability in weekly mood episode symptoms and other clinical and demographic factors were related to emotional bias as measured in a simple laboratory task.

Method

Participants (N = 271, BDI = 206, BDII = 121) completed an ‘emotional categorization and memory’ task. Weekly self-reported symptoms of depression and mania were collected prospectively. In linear regression analyses, associations between cognitive bias and mood variability were explored together with the influence of demographic and clinical factors, including current medication.

Results

Greater accuracy in the classification of negative words relative to positive words was associated with greater instability in depressive symptoms. Furthermore, greater negative bias in free recall was associated with higher instability in manic symptoms. Participants diagnosed with BDII, compared with BDI, showed overall better word recognition and recall. Current antipsychotic use was associated with reduced instability in manic symptoms but this did not impact on emotional processing performance.

Conclusions

Emotional processing biases in bipolar disorder are related to instability in mood. These findings prompt further investigation into the underpinnings as well as clinical significance of mood instability.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Altman, EG, Hedeker, D, Peterson, JL, Davis, JM (1997). The Altman self-rating mania scale. Biological Psychiatry 42, 948955.Google Scholar
Anderson, NH (1968). Likableness ratings of 555 personality-trait words. Journal of Personality and Social Psychology 9, 272279.Google Scholar
Bellino, S, Bozzatello, P, Brignolo, E, Bogetto, F (2012). New antipsychotics in treatment of mood instability and cognitive perceptual symptoms in borderline personality disorder. Current Psychopharmacology 1, 8696.CrossRefGoogle Scholar
Born, C, Amann, BL, Grunze, H, Post, RM, Scharer, L (2014). Saving time and money: a validation of the self ratings on the prospective NIMH Life-Chart Method (NIMH-LCM). BMC Psychiatry 14, 130.Google Scholar
Bourne, C, Bilderbeck, A, Drennan, R, Atkinson, L, Price, J, Geddes, JR, Goodwin, GM (2015). Verbal learning impairment in euthymic bipolar disorder: BDI v BDII. Journal of Affective Disorders 182, 95100.Google Scholar
Derntl, B, Seidel, EM, Kryspin-Exner, I, Hasmann, A, Dobmeier, M (2009). Facial emotion recognition in patients with bipolar I and bipolar II disorder. British Journal of Clinical Psychology 48, 363375.Google Scholar
Faurholt-Jepsen, M, Vinberg, M, Christensen, EM, Frost, M, Bardram, J, Kessing, LV (2013). Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder-the MONARCA trial protocol (MONitoring, treAtment and pRediCtion of bipolAr disorder episodes): a randomised controlled single-blind trial. BMJ Open 3.Google Scholar
Garcia-Blanco, AC, Perea, M, Livianos, L (2013). Mood-congruent bias and attention shifts in the different episodes of bipolar disorder. Cognition & Emotion 27, 11141121.Google Scholar
Garrett, DD, Samanez-Larkin, GR, MacDonald, SWS, Lindenberger, U, McIntosh, AR, Grady, CL (2013). Moment-to-moment brain signal variability: a next frontier in human brain mapping? Neuroscience and Biobehavioral Reviews 37, 610624.Google Scholar
Gershon, A, Eidelman, P (2015). Inter-episode affective intensity and instability: predictors of depression and functional impairment in bipolar disorder. Journal of Behavior Therapy and Experimental Psychiatry 46, 1418.Google Scholar
Gopin, CB, Burdick, KE, DeRosse, P, Goldberg, TE, Malhotra, AK (2011). Emotional modulation of response inhibition in stable patients with bipolar I disorder: a comparison with healthy and schizophrenia subjects. Bipolar Disorders 13, 164172.Google Scholar
Gotlib, IH, Krasnoperova, E (1998). Biased information processing as a vulnerability factor for depression. Behavior Therapy 29, 603617.Google Scholar
Harmer, CJ, Goodwin, GM, Cowen, PJ (2009). Why do antidepressants take so long to work? A cognitive neuropsychological model of antidepressant drug action. British Journal of Psychiatry 195, 102108.Google Scholar
Harmer, CJ, Heinzen, J, O'Sullivan, U, Ayres, RA, Cowen, PJ (2008). Dissociable effects of acute antidepressant drug administration on subjective and emotional processing measures in healthy volunteers. Psychopharmacology 199, 495502.Google Scholar
Henry, C, Van den Bulke, D, Bellivier, F, Roy, I, Swendsen, J, M'Bailara, K, Siever, LJ, Leboyer, M (2008). Affective lability and affect intensity as core dimensions of bipolar disorders during euthymic period. Psychiatry Research 159, 16.Google Scholar
Holmes, MK, Erickson, K, Luckenbaugh, DA, Drevets, WC, Bain, EE, Cannon, DM, Snow, J, Sahakian, BJ, Manji, HK, Zarate, CA (2008). A comparison of cognitive functioning in medicated and unmedicated subjects with bipolar depression. Bipolar Disorders 10, 806815.Google Scholar
Hsiao, YL, Wu, YS, Wu, JYW, Hsu, MH, Chen, HC, Lee, SY, Lee, IH, Yeh, TL, Yang, YK, Ko, HC, Lu, RB (2009). Neuropsychological functions in patients with bipolar I and bipolar II disorder. Bipolar Disorders 11, 547554.Google Scholar
Jahng, S, Wood, PK, Trull, TJ (2008). Analysis of affective instability in ecological momentary assessment: indices using successive difference and group comparison via multilevel modeling. Psychological Methods 13, 354375.Google Scholar
Koenigsberg, HW (2010). Affective instability: toward an integration of neuroscience and psychological perspectives. Journal of Personality Disorders 24, 6082.Google Scholar
Lau, MA, Segal, ZV, Williams, JM (2004). Teasdale's differential activation hypothesis: implications for mechanisms of depressive relapse and suicidal behaviour. Behaviour Research and Therapy 42, 1001–17.Google Scholar
Lemaire, M, Aguillon-Hernandez, N, Bonnet-Brilhault, F, Martineau, J, El-Hage, W (2014). Subjective and physiological emotional response in euthymic bipolar patients: a pilot study. Psychiatry Research 220, 294301.Google Scholar
Lembke, A, Ketter, TA (2002). Impaired recognition of facial emotion in mania. American Journal of Psychiatry 159, 302–4.Google Scholar
Lex, C, Meyer, TD, Marquart, B, Thau, K (2008). No strong evidence for abnormal levels of dysfunctional attitudes, automatic thoughts, and emotional information-processing biases in remitted bipolar I affective disorder. Psychology and Psychotherapy – Theory Research and Practice 81, 113.CrossRefGoogle ScholarPubMed
Magill, CA (2004). The boundary between borderline personality disorder and bipolar disorder: current concepts and challenges. Canadian Journal of Psychiatry-Revue Canadienne De Psychiatrie 49, 551556.Google Scholar
Malhi, GS, McAulay, C, Das, P, Fritz, K (2015). Maintaining mood stability in bipolar disorder: a clinical perspective on pharmacotherapy. Evidence Based Mental Health 18, 16.Google Scholar
Mercer, L, Becerra, R (2013). A unique emotional processing profile of euthymic bipolar disorder? A critical review. Journal of Affective Disorders 146, 295309.Google Scholar
Miklowitz, DJ, Price, J, Holmes, EA, Rendell, J, Bell, S, Budge, K, Christensen, J, Wallace, J, Simon, J, Armstrong, NM, McPeake, L, Goodwin, GM, Geddes, JR (2012). Facilitated Integrated Mood Management for adults with bipolar disorder. Bipolar Disorders 14, 185197.Google Scholar
Mocking, RJT, Pflanz, CP, Pringle, A, Parsons, E, McTavish, SF, Cowen, PJ, Harmer, CJ (2013). Effects of short-term varenicline administration on emotional and cognitive processing in healthy, non-smoking adults: a randomized, double-blind, study. Neuropsychopharmacology 38, 476484.Google Scholar
Murphy, FC, Sahakian, BJ, Rubinsztein, JS, Michael, A, Rogers, RD, Robbins, TW, Paykel, ES (1999). Emotional bias and inhibitory control processes in mania and depression. Psychological Medicine 29, 13071321.Google Scholar
Rock, PL, Goodwin, GM, Harmer, CJ (2010). The common adolescent bipolar phenotype shows positive biases in emotional processing. Bipolar Disorders 12, 606615.Google Scholar
Rush, J, Trivedi, M, Ibrahim, H, Carmody, T, Arnow, B, Klein, D, Markowitz, J, Ninan, P, Kornstein, S, Manber, R, Thase, M, Kocsis, J, Keller, M (2003). The 16-item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biological Psychiatry 54, 573583.CrossRefGoogle ScholarPubMed
Sheehan, DV, Lecrubier, Y, Sheehan, KH, Amorim, P, Janavs, J, Weiller, E, Hergueta, T, Baker, R, Dunbar, GC (1998). The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry 59, 2233.Google Scholar
Simonsen, C, Sundet, K, Vaskinn, A, Birkenaes, AB, Engh, JA, Hansen, CF, Jónsdóttir, H, Ringen, PA, Opjordsmoen, S, Friis, S, Andreassen, OA (2008). Neurocognitive profiles in bipolar I and bipolar II disorder: differences in pattern and magnitude of dysfunction. Bipolar Disorders 10, 245255.Google Scholar
Strejilevich, SA, Martino, DJ, Murru, A, Teitelbaum, J, Fassi, G, Marengo, E, Igoa, A, Colom, F (2013). Mood instability and functional recovery in bipolar disorders. Acta Psychiatrica Scandinavica 128, 194202.Google Scholar
Venn, HR, Gray, JM, Montagne, B, Murray, LK, Burt, DM, Frigerio, E, Perrett, DI, Young, AH (2004). Perception of facial expressions of emotion in bipolar disorder. Bipolar Disorders 6, 286293.Google Scholar
Vieta, E, Goikolea, JM (2005). Atypical antipsychotics: newer options for mania and maintenance therapy. Bipolar Disorders 7, 2133.Google Scholar
Wells, TT, Clerkin, EM, Ellis, AJ, Beevers, CG (2014). Effect of antidepressant medication use on emotional information processing in major depression. American Journal of Psychiatry 171, 195200.Google Scholar
Supplementary material: File

Bilderbeck supplementary material

Bilderbeck supplementary material

Download Bilderbeck supplementary material(File)
File 18.7 KB