Attentional bias modification in depression through gaze contingencies and regulatory control using a new eye-tracking intervention paradigm: study protocol for a placebo-controlled trial

Carmelo Vazquez, Ivan Blanco, Alvaro Sanchez, Richard J McNally, Carmelo Vazquez, Ivan Blanco, Alvaro Sanchez, Richard J McNally

Abstract

Background: Attentional biases, namely difficulties both to disengage attention from negative information and to maintain it on positive information, play an important role in the onset and maintenance of the disorder. Recently, researchers have developed specific attentional bias modification (ABM) techniques aimed to modify these maladaptive attentional patterns. However, the application of current ABM procedures has yielded, so far, scarce results in depression due, in part, to some methodological shortcomings. The aim of our protocol is the application of a new ABM technique, based on eye-tracker technology, designed to objectively train the specific attentional components involved in depression and, eventually, to reduce depressive symptoms.

Methods: Based on sample size calculations, 32 dysphoric (BDI ≥13) participants will be allocated to either an active attentional bias training group or a yoked-control group. Attentional training will be individually administered on two sessions in two consecutive days at the lab. In the training task series of pairs of faces (i.e. neutral vs. sad; neutral vs. happy; happy vs. sad) will be displayed. Participants in the training group will be asked to localize as quickly as possible the most positive face of the pair (e.g., the neutral face in neutral vs. sad trials) and maintain their gaze on it for 750 ms or 1500 ms, in two different blocks, to advance to the next trial. Participants' maintenance of gaze will be measured by an eye-tracking apparatus. Participants in the yoked-control group will be exposed to the same stimuli and the same average amount of time than the experimental participants but without any instruction to maintain their gaze or any feedback on their performance. Pre and post training measures will be obtained to assess cognitive and emotional changes after the training.

Discussion: The findings from this research will provide a proof-of-principle of the efficacy of eye-tracking paradigms to modify attentional biases and, consequently, to improve depressed mood. If the findings are positive, this new training approach may result in the improvement of cognitive bias modification procedures in depression.

Trial registration: This trial was retrospectively registered on July 28, 2016 with the ClinicalTrials.gov NCT02847793 registration number and the title 'Attentional Bias Modification Through Eye-tracker Methodology (ABMET)'.

Keywords: Attentional bias modification; Attentional biases; Cognitive bias modification; Cognitive processes; Depression; Dysphoria; Eye-tracking.

Figures

Fig. 1
Fig. 1
Repeated-measures study procedure
Fig. 2
Fig. 2
Study flow diagram
Fig. 3
Fig. 3
Example of a happy face with teeth blurred using a Gaussian filter. (Model AF14, KDEF)
Fig. 4
Fig. 4
Attentional Bias Modification Training Task. Example of a happy-neutral condition trial. (Model 066, FACES)

References

    1. Kessler RC. The costs of depression. Psychiatr Clin North Am. 2012;35:1–14. doi: 10.1016/j.psc.2011.11.005.
    1. Cuijpers P, van Straten A, Bohlmeijer E, Hollon SD, Andersson G. The effects of psychotherapy for adult depression are overestimated: a meta-analysis of study quality and effect size. Psychol Med. 2010;40:211–23. doi: 10.1017/S0033291709006114.
    1. Ninan PT, Poole RM, Stiles GL. Selective publication of antidepressant trials. N Engl J Med. 2008;358:252–60. doi: 10.1056/NEJMsa065779.
    1. American Psychiatric Association . Diagnostic and Statistical Manual of mental disorders: DSM-IV-TR. Washington, DC: American Psychiatric Association; 2000.
    1. De Raedt R, Koster EHW. Understanding vulnerability for depression from a cognitive neuroscience perspective: A reappraisal of attentional factors and a new conceptual framework. Cogn Affect Behav Neurosci. 2010;10:50–70. doi: 10.3758/CABN.10.1.50.
    1. Wisco BE. Depressive cognition: self-reference and depth of processing. Clin Psychol Rev. 2009;29:382–92. doi: 10.1016/j.cpr.2009.03.003.
    1. Gaddy MA, Ingram RE. A meta-analytic review of mood-congruent implicit memory in depressed mood. Clin Psychol Rev. 2014;34:402–16. doi: 10.1016/j.cpr.2014.06.001.
    1. Matt GE, Vazquez C, Campbell WK. Mood-congruent recall of affectively toned stimuli: a meta-analytic review. Clin Psychol Rev. 1992;12:227–55. doi: 10.1016/0272-7358(92)90116-P.
    1. Farb NAS, Irving JA, Anderson AK, Segal ZV. A two-factor model of relapse/recurrence vulnerability in unipolar depression. J Abnorm Psychol. 2015;124:38–53. doi: 10.1037/abn0000031.
    1. Watkins ER, Nolen-Hoeksema S. A habit-goal framework of depressive rumination. J Abnorm Psychol. 2014;123:24–34. doi: 10.1037/a0035540.
    1. Disner SG, Beevers CG, Haigh EAP, Beck AT. Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci. 2011;12:467–77. doi: 10.1038/nrn3027.
    1. Everaert J, Duyck W, Koster EHW. Attention, interpretation, and memory biases in subclinical depression: a proof-of-principle test of the combined cognitive biases hypothesis. Emotion. 2014;14:331–40. doi: 10.1037/a0035250.
    1. Sanchez A, Everaert J, De Putter LMS, Mueller SC, Koster EHW. Life is … great! emotional attention during instructed and uninstructed ambiguity resolution in relation to depressive symptoms. Biol Psychol. 2015;109:67–72. doi: 10.1016/j.biopsycho.2015.04.007.
    1. White LK, Suway JG, Pine DS, Bar-Haim Y, Fox NA. Cascading effects: the influence of attention bias to threat on the interpretation of ambiguous information. Behav Res Ther. 2011;49:244–51. doi: 10.1016/j.brat.2011.01.004.
    1. Sanchez A, Everaert J, Koster EHW. Attention training through gaze-contingent feedback: Effects on reappraisal and negative emotions. Emotion 2016;20. doi:10.1037/emo0000198.
    1. Armstrong T, Olatunji BO. Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis. Clin Psychol Rev. 2012;32:704–23. doi: 10.1016/j.cpr.2012.09.004.
    1. Gotlib IH, Joormann J. Cognition and depression: current status and future directions. Annu Rev Clin Psychol. 2010;6:285–312. doi: 10.1146/annurev.clinpsy.121208.131305.
    1. Sanchez A, Vazquez C, Marker C, Lemoult J, Joormann J. Attentional disengagement predicts stress recovery in depression: an eye-tracking study. J Abnorm Psychol. 2013;122:303–13. doi: 10.1037/a0031529.
    1. Platt B, Waters AM, Schulte-Koerne G, Engelmann L, Salemink E. A review of cognitive biases in youth depression: attention, interpretation and memory. Cogn Emot. 2016;9931:1–22. doi: 10.1080/02699931.2015.1127215.
    1. Ellenbogen MA, Schwartzman AE. Selective attention and avoidance on a pictorial cueing task during stress in clinically anxious and depressed participants. Behav Res Ther. 2009;47:128–38. doi: 10.1016/j.brat.2008.10.021.
    1. Koster EHW, De Raedt R, Leyman L, De Lissnyder E. Mood-congruent attention and memory bias in dysphoria: Exploring the coherence among information-processing biases. Behav Res Ther. 2010;48:219–25. doi: 10.1016/j.brat.2009.11.004.
    1. Whitmer AJ, Gotlib IH. An attentional scope model of rumination. Psychol Bull. 2013;139:1036–61. doi: 10.1037/a0030923.
    1. Duque A, Sanchez A, Vazquez C. Gaze-fixation and pupil dilation in the processing of emotional faces: the role of rumination. Cogn Emot. 2014;28:1347–66. doi: 10.1080/02699931.2014.881327.
    1. Joormann J, Tanovic E. Cognitive vulnerability to depression: examining cognitive control and emotion regulation. Curr Opin Psychol. 2015;4:86–92. doi: 10.1016/j.copsyc.2014.12.006.
    1. Everaert J, Grahek I, Duyck W, Buelens J, Van den Bergh N, Koster EHW. Mapping the interplay among cognitive biases, emotion regulation, and depressive symptoms. Cogn Emot 2016:1–10. doi:10.1080/02699931.2016.1144561.
    1. Hilt LM, Pollak SD. Characterizing the ruminative process in young adolescents. J Clin Child Adolesc Psychol. 2013;42:519–30. doi: 10.1080/15374416.2013.764825.
    1. Sanchez A, Vazquez C. Looking at the eyes of happiness: positive emotions mediate the influence of life satisfaction on attention to happy faces. J Posit Psychol. 2014;17:435–48. doi: 10.1080/17439760.2014.910827.
    1. Koster EHW, De Raedt R, Goeleven E, Franck E, Crombez G. Mood-congruent attentional bias in dysphoria: maintained attention to and impaired disengagement from negative information. Emotion. 2005;5:446–55. doi: 10.1037/1528-3542.5.4.446.
    1. Kircanski K, Joormann J, Gotlib IH. Cognitive aspects of depression. Wiley Interdiscip Rev Cogn Sci. 2012;3:301–13. doi: 10.1002/wcs.1177.
    1. Duque A, Vazquez C. Double attention bias for positive and negative emotional faces in clinical depression: Evidence from an eye-tracking study. J Behav Ther Exp Psychiatry. 2015;46:107–14. doi: 10.1016/j.jbtep.2014.09.005.
    1. MacLeod C, Rutherford E, Campbell L, Ebsworthy G, Holker L. Selective attention and emotional vulnerability: Assessing the causal basis of their association through the experimental manipulation of attentional bias. J Abnorm Psychol. 2002;111:107–23. doi: 10.1037/0021-843X.111.1.107.
    1. MacLeod C, Mathews A, Tata P. Attentional bias in emotional disorders. J Abnorm Psychol. 1986;95:15–20. doi: 10.1037/0021-843X.95.1.15.
    1. Hertel PT, Mathews A. Cognitive Bias Modification: Past perspectives, current findings, and future applications. Perspect Psychol Sci. 2011;6:521–36. doi: 10.1177/1745691611421205.
    1. MacLeod C, Mathews A. Cognitive bias modification approaches to anxiety. Annu Rev Clin Psychol. 2012;8:189–217. doi: 10.1146/annurev-clinpsy-032511-143052.
    1. Bar-Haim Y. Research review: Attention bias modification (ABM): a novel treatment for anxiety disorders. J Child Psychol Psychiatry. 2010;51:859–70. doi: 10.1111/j.1469-7610.2010.02251.x.
    1. Baert S, De Raedt R, Schacht R, Koster EHW. Attentional bias training in depression: therapeutic effects depend on depression severity. J Behav Ther Exp Psychiatry. 2010;41:265–74. doi: 10.1016/j.jbtep.2010.02.004.
    1. Browning M, Blackwell SE, Holmes EA. The use of cognitive bias modification and imagery in the understanding and treatment of depression. Curr Top Behav Neurosci. 2012;14:243–60. doi: 10.1007/7854_2012_212.
    1. Haeffel GJ, Rozek DC, Hames JL, Technow J. Too much of a good thing: testing the efficacy of a cognitive bias modification task for cognitively vulnerable individuals. Cognit Ther Res. 2011;36:493–501. doi: 10.1007/s10608-011-9379-6.
    1. Kruijt A-W, Putman P, Van der Does W. A multiple case series analysis of six variants of attentional bias modification for depression. ISRN Psychiatry. 2013;2013:414170. doi: 10.1155/2013/414170.
    1. Tsumura H, Shimada H, Nomura K, Sugaya N, Suzuki K. The effects of attention retraining on depressive mood and cortisol responses to depression-related stimuli. J Psychol Res. 2012;54:400–11.
    1. Wells TT, Beevers CG. Biased attention and dysphoria: manipulating selective attention reduces subsequent depressive symptoms. Cogn Emot. 2010;24:719–28. doi: 10.1080/02699930802652388.
    1. Yang W, Ding Z, Dai T, Fang P, Zhang JX. Attention bias modification training in individuals with depressive symptoms: a randomized controlled trial. J Behav Ther Exp Psychiatry. 2015;49:101–11. doi: 10.1016/j.jbtep.2014.08.005.
    1. Beard C, Sawyer AT, Hofmann SG. Efficacy of attention bias modification using threat and appetitive stimuli: a meta-analytic review. Behav Ther. 2012;43:724–40. doi: 10.1016/j.beth.2012.01.002.
    1. Hakamata Y, Lissek S, Bar-Haim Y, Britton JC, Fox NA, Leibenluft E, et al. Attention bias modification treatment: a meta-analysis toward the establishment of novel treatment for anxiety. Biol Psychiatry. 2010;68:982–90. doi: 10.1016/j.biopsych.2010.07.021.
    1. Cristea IA, Kok RN, Cuijpers P. Efficacy of cognitive bias modification interventions in anxiety and depression: meta-analysis. Br J Psychiatry. 2015;206:7–16. doi: 10.1192/bjp.bp.114.146761.
    1. Mogoaşe C, David D, Koster EHW. Clinical efficacy of attentional bias modification procedures: an updated meta-analysis. J Clin Psychol. 2014;70:1133–57. doi: 10.1002/jclp.22081.
    1. Hallion LS, Ruscio AM. A meta-analysis of the effect of cognitive bias modification on anxiety and depression. Psychol Bull. 2011;137:940–58. doi: 10.1037/a0024355.
    1. Koster EHW, Bernstein A. Cognitive bias modification: taking a step back to move forward? J Behav Ther Exp Psychiatry. 2015;49:4–7. doi: 10.1016/j.jbtep.2015.05.006.
    1. Wadlinger HA, Isaacowitz DM. Fixing our focus: training attention to regulate emotion. Personal Soc Psychol Rev. 2011;15:75–102. doi: 10.1177/1088868310365565.
    1. Bjork RA, Dunlosky J, Kornell N. Self-regulated learning: beliefs, techniques, and illusions. Annu Rev Psychol. 2013;64:417–44. doi: 10.1146/annurev-psych-113011-143823.
    1. Chelazzi L, Perlato A, Santandrea E, Della LC. Rewards teach visual selective attention. Vision Res. 2013;85:58–72. doi: 10.1016/j.visres.2012.12.005.
    1. Donohue SE, Hopf J-M, Bartsch MV, Schoenfeld MA, Heinze H-J, Woldorff MG. The rapid capture of attention by rewarded objects. J Cogn Neurosci. 2016;28:529–41. doi: 10.1162/jocn_a_00917.
    1. Sigurjónsdóttir Ó, Björnsson AS, Ludvigsdóttir SJ, Kristjánsson Á. Money talks in attention bias modification: reward in a dot-probe task affects attentional biases. Vis Cogn. 2015;23:118–32. doi: 10.1080/13506285.2014.984797.
    1. Kellough JL, Beevers CG, Ellis AJ, Wells TT. Time course of selective attention in clinically depressed young adults: an eye tracking study. Behav Res Ther. 2008;46:1238–43. doi: 10.1016/j.brat.2008.07.004.
    1. Cisler JM, Bacon AK, Williams NL. Phenomenological characteristics of attentional biases towards threat: a critical review. Cognit Ther Res. 2009;33:221–34. doi: 10.1007/s10608-007-9161-y.
    1. Waechter S, Nelson AL, Wright C, Hyatt A, Oakman J. Measuring attentional bias to threat: reliability of dot probe and eye movement indices. Cognit Ther Res. 2014;38:313–33. doi: 10.1007/s10608-013-9588-2.
    1. Price RB, Kuckertz JM, Siegle GJ, Ladouceur CD, Silk JS, Ryan ND, et al. Empirical recommendations for improving the stability of the dot-probe task in clinical research. Psychol Assess. 2015;27:365–76. doi: 10.1037/pas0000036.
    1. Posner MI. Orienting of attention. Q J Exp Psychol. 1980;32:3–25. doi: 10.1080/00335558008248231.
    1. Koster EHW, Baert S, Bockstaele M, De Raedt R. Attentional retraining procedures: manipulating early or late components of attentional bias? Emotion. 2010;10:230–6. doi: 10.1037/a0018424.
    1. Rescorla RA. Pavlovian conditioning and its proper control procedures. Psychol Rev. 1967;74:71–80. doi: 10.1037/h0024109.
    1. Koster EH, Hoorelbeke K. Cognitive bias modification for depression. Curr Opin Psychol. 2015;4:119–23. doi: 10.1016/j.copsyc.2014.11.012.
    1. Bernstein A, Zvielli A. Attention Feedback Awareness and Control Training (A-FACT): Experimental test of a novel intervention paradigm targeting attentional bias. Behav Res Ther. 2014;55:18–26. doi: 10.1016/j.brat.2014.01.003.
    1. Joormann J, Gotlib IH. Is this happiness I see? Biases in the identification of emotional facial expressions in depression and social phobia. J Abnorm Psychol. 2006;115:705–14. doi: 10.1037/0021-843X.115.4.705.
    1. Wenzlaff RM, Bates DE. Unmasking a cognitive vulnerability to depression: how lapses in mental control reveal depressive thinking. J Pers Soc Psychol. 1998;75:1559–71. doi: 10.1037/0022-3514.75.6.1559.
    1. Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41:1149–60. doi: 10.3758/BRM.41.4.1149.
    1. Beck AT, Steer R, Brown G. Manual for the Beck Depression Inventory-II. Psychological Corp: San Antonio; 1996.
    1. Dozois DJA, Dobson KS, Ahnberg JL. A psychometric evaluation of the beck depression inventory-II. Psychol Assess. 1998;10:83–9. doi: 10.1037/1040-3590.10.2.83.
    1. Sanz J, Perdigon AL, Vazquez C. The Spanish adaptation of Beck’s Depression Inventory-II (BDI-II): 2. Psychometric properties in the general population. Clínica y Salud. 2003;14:249–80.
    1. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: Psychometric properties. J Consult Clin Psychol. 1988;56:893–7. doi: 10.1037/0022-006X.56.6.893.
    1. Magán I, Sanz J, García-Vera MP. Psychometric properties of a spanish version of the Beck Anxiety Inventory (BAI) in general population. Span J Psychol. 2008;11:626–40.
    1. Nolen-Hoeksema S, Morrow J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta Earthquake. J Pers Soc Psychol. 1991;61:115–21. doi: 10.1037/0022-3514.61.1.115.
    1. Hervas G. Adaptación al castellano de un instrumento para evaluar el estilo rumiativo: la escala de respuestas rumiativas. Rev Psicopat Psicol Clínica. 2008;13:111–21.
    1. Wegner DM, Zanakos S. Chronic thought suppression. J Pers. 1994;62:616–40. doi: 10.1111/j.1467-6494.1994.tb00311.x.
    1. Fernandez-Berrocal P, Extremera N, Ramos N. Validity and reliability of the Spanish version of the white bear suppression inventory. Psychol Rep. 2004;94:782–4. doi: 10.2466/pr0.94.3.782-784.
    1. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the BIS/BAS scales. J Pesonality Soc Psychol. 1994;67:319–33. doi: 10.1037/0022-3514.67.2.319.
    1. Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985;49:71–5. doi: 10.1207/s15327752jpa4901_13.
    1. Vazquez C, Duque A, Hervas G. Satisfaction with Life Scale in a representative sample of Spanish adults: Validation and normative data. Span J Psychol. 2013;16. doi:10.1017/sjp.2013.82.
    1. Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the life orientation test. J Pers Soc Psychol. 1994;67:1063–78. doi: 10.1037/0022-3514.67.6.1063.
    1. Ferrando PJ, Chico E, Tous JM. Propiedades psicométricas del test de optimismo life orientation test. Psicothema. 2002;14:673–80.
    1. Hervas G, Vazquez C. Construction and validation of a measure of integrative well-being in seven languages: the Pemberton happiness index. Health Qual Life Outcomes. 2013;11:66. doi: 10.1186/1477-7525-11-66.
    1. Sanz J. Un instrumento para evaluar la eficacia de los procedimientos de inducción de estado de ánimo: “La Escala de Valoración del Estado de Ánimo” (EVEA) An Modif Conduct. 2001;27:71–110.
    1. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54:1063–70. doi: 10.1037/0022-3514.54.6.1063.
    1. Lopez-Gomez I, Hervas G, Vazquez C. An adaptation of the positive and negative affect schedules (PANAS) in a spanish general sample. Behav Psychol. 2015;23:529–48.
    1. Lundqvist D, Flykt A, Öhman A. The Karolinska Directed Emotional Faces – KDEF. Stockholm: 1998.
    1. Savage RA, Lipp OV, Craig BM, Becker SI, Horstmann G. In search of the emotional face: anger versus happiness superiority in visual search. Emotion. 2013;13:758–68. doi: 10.1037/a0031970.
    1. Blanco I, Serrano-Pedraza I, Vazquez C. Don’t look at my teeth when I smile: Teeth visibility in smiling faces affects emotionality ratings and gaze patterns. Emotion. 2016. doi:10.1037/emo0000260.
    1. Ebner NC, Riediger M, Lindenberger U. FACES -A database of facial expressions in young, middle-aged, and older women and men: development and validation. Behav Res Methods. 2010;42:351–62. doi:10.3758/BRM.42.1.351.
    1. Sanchez A, Vazquez C. Prototypicality and Intensity of Emotional Faces using an Anchor-Point Method. Span J Psychol. 2013;16. doi:10.1017/sjp.2013.9.
    1. Aguado L, García-Gutierrez A, Serrano-Pedraza I. Symmetrical interaction of sex and expression in face classification tasks. Atten Percept Psychophys. 2009;71:9–25. doi: 10.3758/APP.71.1.9.
    1. Calvo MG, Avero P. Time course of attentional bias to emotional scenes in anxiety: gaze direction and duration. Cogn Emot. 2005;19:433–51. doi: 10.1080/02699930441000157.
    1. Seligman ME, Maier SF. Failure to escape traumatic shock. J Exp Psychol. 1967;47:1–9. doi: 10.1037/h0024514.
    1. Roesch EB, Tamarit L, Reveret L, Grandjean D, Sander D, Scherer KR. FACSGen: A tool to synthesize emotional facial expressions through systematic manipulation of facial action units. J Nonverbal Behav. 2011;35:1–16. doi: 10.1007/s10919-010-0095-9.
    1. Krumhuber EG, Tamarit L, Roesch EB, Scherer KR. FACSGen 2.0 animation software: generating three-dimensional FACS-valid facial expressions for emotion research. Emotion. 2012;12:351–63. doi: 10.1037/a0026632.
    1. MacLeod CM, Holmes EA. Cognitive bias modification: an intervention approach worth attending to. Am J Psychiatry. 2012;169:118–21. doi: 10.1176/appi.ajp.2011.11111682.
    1. Emmelkamp PMG. Attention bias modification: the Emperor’s new suit? BMC Med. 2012;10:63. doi: 10.1186/1741-7015-10-63.
    1. Ioannidis JPA. Effect of the statistical significance of results on the time to completion and publication of randomized efficacy trials. JAMA. 1998;279:281. doi: 10.1001/jama.279.4.281.
    1. Ferrari GRA, Möbius M, van Opdorp A, Becker ES, Rinck M. Can’t look away: An eye-tracking based attentional disengagement training for depression. Cognit Ther Res 2016. doi:10.1007/s10608-016-9766-0.

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