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Motivation and Emotion

, Volume 37, Issue 3, pp 496–507 | Cite as

Facilitation and interference of behavioral responses by task-irrelevant affect-laden stimuli

  • David Contreras
  • Alberto Megías
  • Antonio Maldonado
  • Antonio Cándido
  • Andrés Catena
Original Paper

Abstract

Emotional interference on behavior is commonly observed when task-irrelevant negative stimuli appear before behavioral targets. One explanation postulates that affect-laden stimuli readily capture attention, interfering with the processing of the upcoming target. Emotional stimuli might also preactivate motor programs incompatible with the demanded response. Using a cued go/no-go procedure we showed that task-irrelevant unpleasant stimuli cause interference or facilitation depending on their onset asynchrony relative to the target. We observed interference with short (200 ms) stimulus-target asynchronies and facilitation for longer ones (600 ms), both for key press (Experiment 1) and key release (Experiment 2) responses. The interference effect is compatible with an attentional explanation, but the behavioral facilitation is hard to accommodate within either attentional or motor accounts. This interference-facilitation pattern can be explained assuming that once the attentional effect subsides, emotional processing may enhance the perceptual processing of the stimuli, or lower the decision threshold, thereby facilitating the response selection process.

Keywords

Emotion Attention Motor Perception Decision-making 

Notes

Acknowledgments

This work was supported by the Junta de Andalucía (P06-HUM02375 and P09-SEJ-4752) and the Spanish Ministry of Science and Innovation (SEJ2006-11906/PSIC and PSI2009-12217) grants to Andrés Catena and Antonio Maldonado, respectively.

References

  1. Becker, M. W. (2009). Panic search: fear produces efficient visual search for nonthreatening objects. Psychological Science, 20(4), 435–437.PubMedCrossRefGoogle Scholar
  2. Blanchard, D. C., & Blanchard, R. J. (1988). Ethoexperimental approaches to the study of emotions. Annual Review of Psychology, 39, 43–68.PubMedCrossRefGoogle Scholar
  3. Bocanegra, B. R., & Zeelenberg, R. (2009). Emotion improves and impairs early vision. Psychological Science, 20(6), 707–713.PubMedCrossRefGoogle Scholar
  4. Boulinguez, P., Jaffard, M., Granjon, L., & Benraiss, A. (2008). Warning signals induce automatic EMG activations and proactive volitional inhibition: Evidence from analysis of error distribution in simple RT. Journal of Neurophysiology, 99, 1572–1578.PubMedCrossRefGoogle Scholar
  5. Bradley, B. P., Mogg, K., & Lee, S. C. (1997). Attentional biases for negative information in induced and naturally occurring dysphoria. Behavior Research & Therapy, 35, 911–927.CrossRefGoogle Scholar
  6. Buodo, G., Sarlo, M., & Palomba, D. (2002). Attentional resources measured by reaction times highlight differences within pleasant and unpleasant, high arousing stimuli. Motivation and Emotion, 26(2), 123–138.CrossRefGoogle Scholar
  7. Chen, M., & Bargh, J. A. (1999). Consequences of automatic evaluation: immediate behavioral predispositions to approach or avoid the stimulus. Personality and Social Psychology Bulletin, 25, 215–224.CrossRefGoogle Scholar
  8. Coombes, S. A., Cauraugh, J. H., & Janelle, Ch M. (2007). Dissociating motivational direction and affective valence: Specific emotions alter central motor processes. Psychological Science, 18(11), 938–942.PubMedCrossRefGoogle Scholar
  9. Dolan, R. J. (2002). Emotion, cognition, and behavior. Science, 298, 1191–1194.PubMedCrossRefGoogle Scholar
  10. Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412–431.PubMedCrossRefGoogle Scholar
  11. Duckworth, K. L., Bargh, J. A., Garcia, M., & Chaiken, S. (2002). The automatic evaluation of novel stimuli. Psychological Science, 13(6), 513–519.PubMedCrossRefGoogle Scholar
  12. Eastwood, J. D., Smilek, D., & Merikle, P. M. (2001). Differential attentional guidance by unattended faces expressing positive and negative emotion. Perception & Psychophysics, 63, 1004–1013.CrossRefGoogle Scholar
  13. Freese, J. L., & Amaral, D. G. (2005). The organization of projections from the amygdala to visual cortical areas TE and V1 in the macaque monkey. Journal of Comparative Neurology, 486, 295–317.PubMedCrossRefGoogle Scholar
  14. Goldstein, M., Brendel, G., Tuescher, O., Pan, H., Epstein, J., Beutel, M., et al. (2007). Neural substrates of the interaction of emotional stimulus processing and motor inhibitory control: An emotional linguistic go/no-go fMRI study. Neuroimage, 36, 1026–1040.PubMedCrossRefGoogle Scholar
  15. Gómez, P., Ratcliff, R., & Perea, M. (2007). A model of the go/no-go task. Journal of Experimental Psychology: General, 136, 389–413.CrossRefGoogle Scholar
  16. Hare, T. A., Totteham, N., Davidson, M. C., Glover, G. H., & Casey, B. J. (2005). Contributions of amydala and striatal activity in emotion regulation. Biological Psychiatry, 57, 624–632.PubMedCrossRefGoogle Scholar
  17. Irtel, H. (2006). PXLab: The psychological experiments laboratory [online]. Version 2.1.9. Mannheim (Germany): University of Mannheim. Available from http://www.pxlab.de.
  18. Koster, E. H. W., Crombrez, G., Verschuere, B., Van Damme, S., & Wiersema, J. R. (2006). Components of attentional bias to threat in high trait anxiety: Facilitated engagement, impaired disengagement, and attentional avoidance. Behaviour Research and Therapy, 44, 1757–1771.PubMedCrossRefGoogle Scholar
  19. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1998). Emotion, motivation, and anxiety: Brain mechanisms and psychophysiology. Biological Psychiatry, 44, 1248–1263.PubMedCrossRefGoogle Scholar
  20. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2005). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical report A-6. Gainesville, FL: University of Florida.Google Scholar
  21. LeDoux, J. E., & Phelps, E. (2000). Emotional networks in the brain. In M. Lewis & J. M. Haviland-Jones (Eds.), Handbook of emotions (2nd ed.). New York: The Guilford Press.Google Scholar
  22. Lim, S. L., Padmala, S., & Pessoa, L. (2008). Affective learning modulates spatial competition during low-load attentional conditions. Neuropsychologia, 46, 1267–1278.PubMedCrossRefGoogle Scholar
  23. Lim, S. L., & Pessoa, L. (2008). Affective learning increases sensitivity to graded emotional faces. Emotion, 8, 96–103.PubMedCrossRefGoogle Scholar
  24. McCall, C., Tipper, C. M., Blascovich, J., & Grafton, S. T. (2011). Attitudes trigger motor behavior through conditioned associations: Neural and behavioral evidence. Social Cognitive and Affective Neuroscience. doi: 10.1093/scan/nsr057 (advance online publication).
  25. McClure, S. M., Botvinick, M. M., Yeung, N., Greene, J. D., & Cohen, J. D. (2007). Conflict monitoring in cognition-emotion competition. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 204–228). New York: Guilford Press.Google Scholar
  26. Megías, A., Maldonado, A., Cándido, A., & Catena, A. (2011a). Emotional modulation of urgent and evaluative behaviors in risky driving scenarios. Accident Analysis and Prevention, 43(3), 813–817.PubMedCrossRefGoogle Scholar
  27. Megías, A., Maldonado, A., Catena, A., Di Stasi, L. L., Serrano, J., & Cándido, A. (2011b). Modulation of attention and urgent decisions by affect-laden roadside advertisement in risky driving scenarios. Safety Science, 49, 1388–1393.CrossRefGoogle Scholar
  28. Moltó, J., Montañés, S., Poy, R., Segarra, P., Pastor, M. C., Tormo, M. P., et al. (1999). Un nuevo método para el estudio experimental de las emociones: el International Affective Picture System (IAPS). Adaptación española. Revista de Psicología General y Aplicada, 52, 55–87.Google Scholar
  29. Most, S. B., Chun, M. M., Widders, D. M., & Zald, D. H. (2005). Attentional rubbernecking: Attentional capture by threatening distractors induces blindness for targets. Psychonomic Bulletin & Review, 12, 654–661.CrossRefGoogle Scholar
  30. Niemi, P., & Näätänen, R. (1981). Foreperiod and simple reaction time. Psychological Bulletin, 89(1), 133–162.CrossRefGoogle Scholar
  31. Nieuwenhuis, S., Gilzenrat, M. S., Holmes, B. D., & Cohen, J. D. (2005). The role of the locus coeruleus in mediating the attentional blink: A neurocomputational theory. Journal of Experimental Psychology: General, 134, 291–307.CrossRefGoogle Scholar
  32. Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007). Tonic dopamine: Opportunity costs and the control of response vigor. Psychopharmacology (Berl), 191(3), 507–520.CrossRefGoogle Scholar
  33. Nobre, A. C., Correa, A., & Coull, J. T. (2007). The hazards of time. Current Opinion in Neurobiology, 17, 465–470.PubMedCrossRefGoogle Scholar
  34. Padmala, S., & Pessoa, L. (2008). Affective learning enhances visual detection and responses in primary visual cortex. The Journal of Neuroscience, 28(24), 6202–6210.PubMedCrossRefGoogle Scholar
  35. Pereira, M. G., Volchan, E., Guerra, G., Oliveira, L., Ramos, R., Machado-Pinheiro, W., et al. (2006). Sustained and transient modulation of performance induced by emotional picture viewing. Emotion, 6, 624–634.CrossRefGoogle Scholar
  36. Pereira, M. G., Volchan, E., Oliveira, L., Machado-Pinheiro, W., Rodrigues, J. A., Nepomuceno, F. V. P., et al. (2004). Behavioral modulation by mutilation pictures in women. Brazilian Journal of Medical and Biological Research, 37, 353–362.PubMedCrossRefGoogle Scholar
  37. Pessoa, L. (2008). On the relationship between emotion and cognition. Nature Reviews Neuroscience, 9, 148–158.PubMedCrossRefGoogle Scholar
  38. Phelps, E. A., & LeDoux, J. E. (2005). Contributions of the amygdala to emotion processing: From animal models to human behavior. Neuron, 48, 175–187.PubMedCrossRefGoogle Scholar
  39. Phelps, E. A., Ling, S., & Carrasco, M. (2006). Emotion facilitates perception and potentiates the perceptual benefits of attention (research support, N.I.H., extramural).Google Scholar
  40. Schultz, K. P., Fan, J., Magidina, O., Marks, D. J., Hahn, B., & Halperin, J. M. (2007). Does the emotional go/no-go task really measure behavioral inhibition? Convergence with measures on a non-emotional analogue. Archives of Clinical Neuropsychology, 22, 151–160.CrossRefGoogle Scholar
  41. Simen, P., Cohen, J. D., & Holmes, P. (2006). Rapid decision threshold modulation by reward rate in a neural network. Neural Networks, 19, 1013–1026.PubMedCrossRefGoogle Scholar
  42. Simen, P., Contreras, D., Buck, C., Hu, P., Holmes, P., & Cohen, J. D. (2009). Reward rate optimization in two-alternative decision making: Empirical tests of theoretical predictions. Journal of Experimental Psychology: Human Perception and Performance, 35, 1865–1897.PubMedCrossRefGoogle Scholar
  43. Solarz, A. (1960). Latency of instrumental responses as a function of compatibility with the meaning of eliciting verbal signs. Journal of Experimental Psychology, 59, 239–245.PubMedCrossRefGoogle Scholar
  44. Theeuwes, J., Godijn, R., & Pratt, J. (2004). A new estimation of the duration of attentional dwell time. Psychonomic Bulletin & Review, 11, 60–64.CrossRefGoogle Scholar
  45. Wentura, D., Rothermund, K., & Bak, P. (2000). Automatic vigilance: The attention-grabbing power of approach and avoidance-related social information. Journal of Personality and Social Psychology, 78(6), 1024–1037.PubMedCrossRefGoogle Scholar
  46. White, M. (1996). Anger recognition is independent of spatial attention. New Zealand Journal of Psychology, 25, 30–35.Google Scholar
  47. Zald, D. H., Mattson, D. L., & Pardo, J. V. (2002). Brain activity in ventromedial prefrontal cortex correlates with individual differences in negative affect. PNAS, 99, 2450–2454.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • David Contreras
    • 1
  • Alberto Megías
    • 1
  • Antonio Maldonado
    • 1
  • Antonio Cándido
    • 1
  • Andrés Catena
    • 1
  1. 1.Departamento de Psicología ExperimentalUniversidad de GranadaGranadaSpain

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