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Cognitive Therapy and Research
Gepubliceerd in: Cognitive Therapy and Research 3/2015

01-06-2015 | Original Article

Eye Gaze Tracking Reveals Different Effects of a Sad Mood Induction on the Attention of Previously Depressed and Never Depressed Women

Auteurs: Kristin R. Newman, Christopher R. Sears

Gepubliceerd in: Cognitive Therapy and Research | Uitgave 3/2015

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Abstract

This study examined the effect of a sad mood induction (MI) on attention to emotional information and whether the effect varies as a function of depression vulnerability. Previously depressed (N = 42) and never depressed women (N = 58) were randomly assigned to a sad or a neutral MI and then viewed sets of depression-related, anxiety-related, positive, and neutral images. Attention was measured by tracking eye fixations to the images throughout an 8-s presentation. The sad MI had a substantial impact on the attention of never depressed participants: never depressed participants who experienced the sad MI increased their attention to positive images and decreased their attention to anxiety-related images relative to those who experienced the neutral MI. In contrast, previously depressed participants who experienced the sad MI did not attend to emotional images any differently than previously depressed participants who experienced the neutral MI. These results suggest that for never depressed individuals, a sad MI activates an emotion regulation strategy that changes the way that emotional information is attended to in order to counteract the sad mood; the absence of a difference for previously depressed individuals likely reflects a maladaptive emotion regulation response associated with depression vulnerability. Implications for cognitive theories of depression and depression-vulnerability are discussed.
vorige artikel Are Social Comparisons Detrimental for the Mood and Self-Esteem of Individuals with an Affective Disorder?
volgende artikel Patients’ Outcome Expectations Matter in Psychological Interventions for Patients with Diabetes and Comorbid Depressive Symptoms
Voetnoten
1
There were no obvious differences for any of the demographic variables (age, BDI, BIDR, PHQ-9, etc.) between those who were successfully mood induced and those who were not. In addition, the pre-mood induction ratings of mood for non-induced participants were similar to those who were successfully mood induced.
 
2
Also of interest is a comparison of the previously depressed and never depressed participants who experienced the neutral MI. For this analysis we also had eye tracking data from a group of currently depressed individuals (N = 28) who were shown the same images and experienced the same neutral MI procedure (these data were collected as part of an unpublished study). Depression status was assessed using the PHQ-9 (the mean PHQ-9 of the currently depressed participants was 16.1, SD = 4.3, and the mean BDI was 29.2, SD = 7.8). A MANOVA comparing the fixation data of the three groups produced a significant multivariate Group × Image Type interaction, Wilk’s Λ = .89, F(12, 430) = 2.05, p < .05, partial η2 = .05. The same interaction was present in separate analyses of the fixation count and total fixation time data, F(6, 216) = 2.28, p = .05, partial η2 = .05; F(6, 216) = 2.49, p < .05, partial η2 = .07, respectively. Follow up analyses of the total fixation time data showed that currently depressed participants attended to depression-related images significantly more than never depressed participants (1,920 vs. 1,560 ms), t(54) = 3.76, p < .001, replicating the findings of Eizenman et al. (2003), Kellough et al. (2008), and others. Previously depressed participants also attended to the depression-related images more than never depressed participants (1,792 vs. 1,560 ms), t(45) = 2.18, p < .05, and currently depressed and previously depressed participants did not differ, t(45) = 1.20, p = .23. This outcome indicates that previously depressed participants exhibited an attentional bias for depression-related images equivalent to that of currently depressed participants. For positive images the group differences were not as pronounced. Currently depressed participants attended to positive images less than never depressed participants (1,575 vs. 1,872 ms), t(54) = 1.82, p = .07, and less than previously depressed participants (1,575 vs. 1,934 ms), t(45) = 1.96, p = .05. There was no difference between previously depressed and never depressed participants (1,934 vs. 1,872 ms), t(45) = 0.34, p = .73.
 
3
On the other hand, there would be several disadvantages with a within-subjects design: different images would have to be used if participants experienced both a neutral and sad MI, carry over and order effects could be an issue because the neutral MI would always be presented first, and the demand characteristics of a sad MI procedure would likely be more influential for participants who first experience a neutral MI.
 
Literatuur
American Psychiatric Association. (APA). (1994). Diagnostic and statistical manual of mental disorders, 4th ed. Washington, DC: Author.
Anderson, A., Wais, P., & Gabrieli, J. (2006). Emotion enhances remembrance of neutral events past. Proceedings of the National Academy of Sciences in the United States of America, 103, 1599–1604.CrossRef
Armstrong, T., & Olatunji, B. O. (2012). Eye tracking of attention in the affective disorders: A meta-analytic review. Clinical Psychology Review, 32, 704–723.CrossRefPubMedCentralPubMed
Arndt, J. E., Newman, K. R., & Sears, C. R. (2015). An eye tracking study of the time course of attention to positive and negative images in dysphoric and non-dysphoric individuals. Journal of Experimental Psychopathology, in press.
Bebko, G., Franconeri, S., Ochsner, K., & Chiao, J. (2011). Look before you regulate: Differential perceptual strategies underlying expressive suppression and cognitive reappraisal. Emotion, 11, 732–742.CrossRefPubMed
Beck, A., & Clark, D. (1988). Anxiety and depression: An information processing perspective. Anxiety Research, 1, 23–36.CrossRef
Beck, A., Steer, R., & Brown, G. (1996). Manual for the beck depression inventory-II. San Antonio, TX: Psychological Corporation.
Becker, M., & Leinenger, M. (2011). Attentional selection is biased toward mood congruent stimuli. Emotion, 11, 1248–1254.CrossRefPubMed
Cannon, D., Tiffany, S., Coon, H., Scholand, M., McMahon, W., & Leppert, M. (2007). The PHQ-9 as a brief assessment of lifetime major depression. Psychological Assessment, 19, 247–251.CrossRefPubMed
Chepenik, L. G., Cornew, L. A., & Farah, M. J. (2007). The influence of sad mood on cognition. Emotion, 7, 802–811.CrossRefPubMed
Clasen, P., Wells, T., Ellis, A., & Beevers, C. (2013). Attentional biases and the persistence of sad mood in major depressive disorder. Journal of Abnormal Psychology, 122(1), 74–85.CrossRefPubMed
DeRaedt, R., & Koster, E. (2010). Understanding vulnerability for depression from a cognitive neuroscience perspective: A reappraisal of attentional factors and a new conceptual framework. Cognitive, Affective, and Behavioral Neurosciences, 10, 50–70.CrossRef
Dobson, K., & Dozois, D. (Eds.). (2008). Risk factors in depression. USA: Elsevier.
Dolcos, F. (2010). The impact of emotion on memory: Evidence from brain imaging studies. Saarbrucken, Germany: VDM Verlag.
Duque, A., & Vázquez, C. (2015). Double attention bias for positive and negative emotional faces in clinical depression: Evidence from an eye tracking study. Journal of Behavior Therapy and Experimental Psychiatry, 46, 107–114.
Ehring, T., Fischer, S., Schnulle, J., Bosterling, A., & Tuschen-Caffier, B. (2008). Characteristics of emotion regulation in recovered depressed versus never depressed individuals. Personality and Individual Differences, 44, 1574–1584.CrossRef
Eich, E., Geraerts, E., Schooler, J., & Forgas, J. (2008). Memory in and about affect. In H. L. Roediger III (Ed.), Cognitive psychology of memory. Vol. 2 of learning and memory: A comprehensive reference, 4 volumes (J. Byrne, Editor), pp. 240–257. Oxford: Elsevier.
Eizenman, M., Yu, L., Grupp, L., Eizenman, E., Ellenbogen, M., Gemar, M., & Levitan, R. (2003). A naturalistic visual scanning approach to assess selective attention in major depressive disorder. Psychiatry Research, 118, 117–128.CrossRefPubMed
Ellis, A., Beevers, C., & Wells, T. (2011). Attention allocation and incidental recognition of emotional information in dysphoria. Cognitive Therapy and Research, 35, 425–433.CrossRef
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191.CrossRefPubMed
Gotlib, I. H., Joormann, J., Minor, K. L., & Cooney, R. E. (2006). Cognitive and biological functioning in children at risk for depression. In T. Canli (Ed.), Biology of personality and individual differences (pp. 353–382). New York: Guilford Press.
Gross, J. J. (2007). Handbook of emotion regulation. New York: Guilford Press.
Gross, J., & Levenson, R. (1995). Emotion elicitation using films. Cognition and Emotion, 9, 87–108.CrossRef
Hewig, J., Hagermann, D., Seifert, J., Gollwitzer, M., Naumann, E., & Bartussek, D. (2005). A revised film set for the induction of basic emotions. Cognition and Emotion, 19, 1095–1109.CrossRef
Ingram, R., Bernet, C., & McLaughlin, S. (1994). Attentional allocation processes in individuals at risk for depression. Cognitive Therapy and Research, 18, 317–332.CrossRef
Ingram, R., Miranda, J., & Segal, Z. (1998). Cognitive vulnerability to depression. New York: Guilford Press.
Ingram, R. E., & Ritter, J. (2000). Vulnerability to depression: Cognitive reactivity and parental bonding in high-risk individuals. Journal of Abnormal Psychology, 109, 588–596.CrossRefPubMed
Ingram, R., Steidtmann, D., & Bistricky, S. (2008). Information processing: Attention and memory. In K. Dobson & D. Dozois (Eds.), Risk factors in depression (pp. 145–169). San Diego, CA: Elsevier.CrossRef
Isaacowitz, D., Toner, K., Goren, D., & Wilson, H. (2008). Looking while unhappy: Mood-congruent gaze in young adults, positive gaze in older adults. Psychological Science, 19, 848–853.CrossRefPubMedCentralPubMed
Isaacowitz, D. M., Toner, K., & Neupert, S. D. (2009). Use of gaze for real-time mood regulation: Effects of age and attentional functioning. Psychology and Aging, 24, 989–994.CrossRefPubMedCentralPubMed
Joormann, J., & D’Avanzato, C. (2010). Emotion regulation in depression: Examining the role of cognitive processes. Cognition and Emotion, 24, 913–939.CrossRef
Joormann, J., & Gotlib, I. (2007). Selective attention to emotional faces following recovery from depression. Journal of Abnormal Psychology, 116, 80–85.CrossRefPubMed
Joormann, J., Talbot, L., & Gotlib, I. (2007). Biased processing of emotional information in girls at risk for depression. Journal of Abnormal Psychology, 116, 135–143.CrossRefPubMed
Just, N., Abramson, L., & Alloy, L. (2001). Remitted depression studies as tests of the cognitive vulnerability hypothesis of depression onset: A critique and conceptual analysis. Clinical Psychology Review, 21, 63–83.CrossRefPubMed
Kellough, J., Beevers, C., Ellis, A., & Wells, T. (2008). Time course of selective attention in clinically depressed young adults: An eye tracking study. Behaviour Research and Therapy, 46, 1238–1243.CrossRefPubMedCentralPubMed
Kelvin, M., Goodyer, I., Teasdale, J., & Brechin, D. (1999). Latent self-schema and high emotionality in well adolescents at risk for psychopathology. Journal of Child Psychology and Psychiatry, 40, 959–968.CrossRefPubMed
Kensinger, E. (2007). Negative emotion enhances memory accuracy: Behavioral and neuroimaging evidence. Current Directions in Psychological Science, 16, 213–218.CrossRef
Koster, E., DeLissnyder, E., Derakshan, N., & DeRaedt, R. (2011). Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis. Clinical Psychology Review, 31, 138–145.CrossRefPubMed
Kroenke K., Spitzer R., & Williams, J. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.
Lai, C. (2011). Major depressive disorder: Gender differences in symptoms, life quality, and sexual function. Journal of Clinical Psychopharmacology, 31, 39–44.CrossRefPubMed
Lethbridge, R., & Allen, N. (2008). Mood induced cognitive and emotional reactivity, life stress, and the prediction of depressive relapse. Behaviour Research and Therapy, 46, 1142–1150.CrossRefPubMed
Lewinsohn, P., Steinmetz, J., Larson, D., & Franklin, J. (1981). Depression related cognitions: Antecedent or consequences? Journal of Abnormal Psychology, 90, 213–219.CrossRefPubMed
Leyman, L., DeRaedt, R., Vaeyens, R., & Phillippaerts, R. (2011). Attention for emotional facial expressions in dysphoria: An eye-movement registration study. Cognition and Emotion, 25, 111–120.CrossRefPubMed
Lovell, D. (Producer), & Zeffirelli, F. (Director). (1979). The Champ [Motion Picture]. USA: MGM.
Luria, R. (1975). The validity and reliability of the visual analogue mood scale. Journal of Psychiatric Research, 12, 51–57.CrossRefPubMed
Mather, M., & Carstensen, L. (2005). Aging and motivated cognition: The positivity effect in attention and memory. Trends in Cognitive Sciences, 9, 496–502.CrossRefPubMed
Matthews, G., & Antes, J. (1992). Visual attention and depression: Cognitive biases in the eye fixations of the dysphoric and the nondepressed. Cognitive Therapy and Research, 16, 359–371.CrossRef
McCabe, S., Gotlib, I., & Martin, R. (2000). Cognitive vulnerability for depression: Deployment of attention as a function of history of depression and current mood state. Cognitive Therapy and Research, 24, 427–444.CrossRef
McGinness, T., Dyer, J., & Wade, E. (2012). Gender differences in adolescent depression. Journal of Psychosocial Nursing and Mental Health Services, 50, 17–20.
Miranda, J., & Gross, J. (1997). Cognitive vulnerability, depression, and the mood state dependent hypothesis: Is out of sight out of mind? Cognition and Emotion, 11, 585–605.CrossRef
Miranda, J., Gross, J., Persons, J., & Hahn, J. (1998). Mood matters: Negative mood induction activates dysfunctional attitudes in women vulnerable to depression. Cognitive Therapy and Research, 22, 363–376.CrossRef
Miranda, J., & Persons, J. (1988). Dysfunctional thoughts are mood-state dependent. Journal of Abnormal Psychology, 97, 76–79.CrossRefPubMed
Ochsner, K. (2000). Are affective events richly “remembered” or simply familiar? The experience and process of recognizing feelings past. Journal of Experimental Psychology: General, 129, 242–261.CrossRef
Paulhus, D. L. (1991). Measurement and control of response bias. In J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp. 17–59). San Diego: Academic Press.CrossRef
Reiner, R. (Producer and Director). (1989). When Harry Met Sally [Motion Picture]. USA: MGM.
Riggs, L., McQuiggan, D., Farb, N., Anderson, A., & Ryan, J. (2011). The role of overt attention in emotion modulated memory. Emotion, 11, 776–785.CrossRefPubMed
Rottenberg, J., Kasch, K., Gross, J., & Gotlib, I. (2002). Sadness and amusement reactivity differentially predict concurrent and prospective functioning in major depressive disorder. Emotion, 2, 135–146.CrossRefPubMed
Rottenberg, J., Ray, R., & Gross, J. (2007). Emotion elicitation using films. In J. Coan & J. Allen (Eds.), Handbook of emotion elicitation and assessment (pp. 9–28). London: Oxford University Press.
Sanchez, A., Vázquez, C., Gomez, D., & Joormann, J. (2014). Gaze-fixation to happy faces predicts mood repair after a negative mood induction. Emotion, 14, 85–94.CrossRefPubMed
Schaefer, A., Nils, F., Sanchez, X., & Philippot, P. (2010). Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers. Cognition and Emotion, 24(7), 1153–1172.
Scher, C., Ingram, R., & Segal, Z. (2005). Cognitive reactivity and vulnerability: Empirical evaluation of construct activation and cognitive diatheses in unipolar depression. Clinical Psychology Review, 25, 487–510.CrossRefPubMed
Scherrer, M., & Dobson, K. (2009). Risk for and resilience to negative moods: Predicting response to a depressive mood induction procedure. Journal of Clinical Psychology, 65, 20–35.CrossRefPubMed
Sears, C. R., Newman, K. R., Ference, J. D., & Thomas, C. L. (2011). Attention to emotional images in previously depressed individuals: An eye tracking study. Cognitive Therapy and Research, 35, 517–528.CrossRef
Sears, C. R., Thomas, C. L., LeHuquet, J., & Johnson, J. (2010). Attentional biases in dysphoria: An eye tracking study of the allocation and disengagement of attention. Cognition and Emotion, 24, 1349–1368.CrossRef
Silverstein, B., Edwards, T., Gamma, A., Ajdacic-Gross, V., Rossler, W., & Angst, J. (2013). The role played by depression associated with somatic symptomatology in accounting for the gender difference in the prevalence of depression. Social Psychiatry and Psychiatric Epidemiology, 48, 257–263.CrossRefPubMed
Singer, A., & Dobson, K. (2007). An experimental investigation of the cognitive vulnerability to depression. Behavior Research and Therapy, 45, 563–575.CrossRef
Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologist Press.
Spitzer, R., Kroenke, K., Williams, J., & The Patient Health Questionnaire Primary Care Study Group. (1999). Validation and utility of a self-report version of the PRIME-MD: the PHQ primary care study. Journal of the American Medical Association, 282, 1737–1744.CrossRefPubMed
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Allyn and Bacon.
Teasdale, J. D., & Dent, J. (1987). Cognitive vulnerability to depression: An investigation of two hypotheses. British Journal of Clinical Psychology, 26, 113–126.CrossRefPubMed
Teasdale, J., & Fogarty, S. (1979). Differential effects of induced mood on retrieval of pleasant and unpleasant event from episodic memory. Journal of Abnormal Psychology, 88, 248–257.CrossRefPubMed
Westermann, R., Spies, K., Stahl, G., & Hesse, F. (1996). Relative effectiveness and validity of mood induction procedures: A meta-analysis. European Journal of Social Psychology, 26, 557–580.CrossRef
Yiend, J. (2010). The effects of emotion on attention: A review of attentional processing of emotional information. Cognition and Emotion, 24, 3–47.CrossRef
Metagegevens
Titel
Eye Gaze Tracking Reveals Different Effects of a Sad Mood Induction on the Attention of Previously Depressed and Never Depressed Women
Auteurs
Kristin R. Newman
Christopher R. Sears
Publicatiedatum
01-06-2015
Uitgeverij
Springer US
Gepubliceerd in
Cognitive Therapy and Research / Uitgave 3/2015
Print ISSN: 0147-5916
Elektronisch ISSN: 1573-2819
DOI
https://doi.org/10.1007/s10608-014-9669-x

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