Positive emotion broadens attention focus through decreased position-specific spatial encoding in early visual cortex: Evidence from ERPs

Cognitive, Affective and Behavioral Neuroscience

Volumn 13, Issue 1, 2013, Pages 60-79

  Vanlessen, Naomi ^a   Rossi, Valentina ^a   De Raedt, Rudi ^a   Pourtois, Gilles ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Attention; C1; ERP; Inhibition; Mood induction; Positive emotion; Selectivity

Indexed keywords

ADOLESCENT; ADULT; AFFECT; ARTICLE; ATTENTION; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; FEMALE; HUMAN; MALE; PHOTOSTIMULATION; PHYSIOLOGY; RANDOMIZED CONTROLLED TRIAL; VISION; VISUAL CORTEX; VISUAL FIELD;

ADOLESCENT; ADULT; AFFECT; ATTENTION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; PHOTIC STIMULATION; VISUAL CORTEX; VISUAL FIELDS; VISUAL PERCEPTION;

EID: 84873829095     PISSN: 15307026     EISSN: None     Source Type: Journal    
DOI: 10.3758/s13415-012-0130-x     Document Type: Article

References (98)

1. Ashby, F. G., Isen, A. M., & Turken, A. U. (1999). A neuropsychological theory of positive affect and its influence on cognition. Psychological Review, 106, 529-550. doi: 10.1037/0033-295X.106.3.529
2. Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. F. (1996). Comparison of Beck Depression Inventories-IA and -II in psychiatric outpatients. Journal of Personality Assessment, 67, 588-597. doi: 10.1207/s15327752jpa6703- 13
3. Biss, R. K., & Hasher, L. (2011). Delighted and distracted: Positive affect increases priming for irrelevant information. Emotion, 11, 1474-1478.
4. Biss, R. K., Hasher, L., & Thomas, R. C. (2010). Positive mood is associated with the implicit use of distraction. Motivation and Emotion, 34, 73-77.
5. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108, 624-652. doi: 10.1037/0033-295X.108.3.624
6. Bower, G. H., & Mayer, J. D. (1989). In search of mood-dependent retrieval. Journal of Social Behavior and Personality, 4, 121-156.
7. Buschman, T. J., & Miller, E. K. (2007). Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science, 315, 1860-1862. doi: 10.1126/science.1138071
8. Carrasco, M. (2011). Visual attention: The past 25 years. Vision Research, 51, 1484-1525. doi: 10.1016/j.visres.2011.04.012
9. Carver, C. S., & White, T. L. (1994). Behavioral-inhibition, behavioral activation, and affective responses to impending reward and punishment: The Bis-Bas scales. Journal of Personality and Social Psychology, 67, 319-333.
10. Castiello, U., & Umiltà, C. (1990). Size of the attentional focus and efficiency of processing. Acta Psychologica, 73, 195-209.
11. Castiello, U., & Umiltà, C. (1992). Splitting focal attention. Journal of Experimental Psychology: Human Perception and Performance, 18, 837-848. doi: 10.1037/0096-1523.18.3.837
12. Clark, V. P., Fan, S., & Hillyard, S. A. (1995). Identification of early visual evoked potential generators by retinotopic and topographic analyses. Human Brain Mapping, 2, 170-187.
13. Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 201-215.
14. Crawford, J. R., & Henry, J. D. (2004). The positive and negative affect schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 43, 245-265.
15. Derryberry, D., & Reed, M. A. (1994). Temperament and attention: Orienting toward and away from positive and negative signals. Journal of Personality and Social Psychology, 66, 1128-1139.
16. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193-222. doi: 10.1146/annurev.ne.18.030195.001205
17. Desseilles, M., Balteau, E., Sterpenich, V., Dang-Vu, T. T., Darsaud, A., Vandewalle, G.,. Schwartz, S. (2009). Abnormal neural filtering of irrelevant visual information in depression. Journal of Neuroscience, 29, 1395-1403. doi: 10.1523/JNEUROSCI.3341-08.2009
18. Di Russo, F., Martínez, A., Sereno, M. I., Pitzalis, S., & Hillyard, S. A. (2002). Cortical sources of the early components of the visual evoked potential. Human Brain Mapping, 15, 95-111.
19. Dreisbach, G., & Goschke, T. (2004). How positive affect modulates cognitive control: Reduced perseveration at the cost of increased distractibility. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 343-353. doi: 10.1037/0278-7393.30.2.343
20. Egeth, H. E., & Yantis, S. (1997). Visual attention: Control, representation, and time course. Annual Review of Psychology, 48, 269-297. doi: 10.1146/annurev.psych.48.1.269
21. Ericsson, E., Olofsson, J. K., Nordin, S., Rudolfsson, T., & Sandstrom, G. (2008). Is the P600/SPS affected by the richness of semantic content? A linguistic ERP study in Swedish. Scandinavian Journal of Psychology, 49, 1-9.
22. Eriksen, C. W., & Yeh, Y. Y. (1985). Allocation of attention in the visual field. Journal of Experimental Psychology: Human Perception and Performance, 11, 583-597. doi: 10.1037/0096-1523.11.5.583
23. Estrada, C. A., Isen, A. M., & Young, M. J. (1997). Positive affect facilitates integration of information and decreases anchoring in reasoning among physicians. Organizational Behavior and Human Decision Processes, 72, 117-135.
24. Fredrickson, B. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56, 218-226.
25. Fredrickson, B., & Levenson, R. W. (1998). Positive emotions speed recovery from the cardiovascular sequelae of negative emotions. Cognition and Emotion, 12, 191-220.
26. Gable, P. A., & Harmon-Jones, E. (2008). Approach-motivated positive affect reduces breadth of attention. Psychological Science, 19, 476-482. doi: 10.1111/j.1467-9280.2008.02112.x
27. Gable, P. A., & Harmon-Jones, E. (2010). The blues broaden, but the nasty narrows: Attentional consequences of negative affects low and high in motivational intensity. Psychological Science, 21, 211-215.
28. Gasper, K., & Clore, G. L. (2002). Attending to the big picture: Mood and global versus local processing of visual information. Psychological Science, 13, 34-40. doi: 10.1111/1467-9280.00406
29. Gomez Gonzalez, C. M., Clark, V. P., Fan, S., Luck, S. J., & Hillyard, S. A. (1994). Sources of attention-sensitive visual event-related potentials. Brain Topography, 7, 41-51.
30. Gratton, G., Coles, M. G. H., & Donchin, E. (1983). Filtering for spatial-distribution - A new approach (vector filter). Psychophysiology, 20, 443-444.
31. Gray, J. R. (2001). Emotional modulation of cognitive control: Approach-withdrawal states double-dissociate spatial from verbal two-back task performance. Journal of Experimental Psychology: General, 130, 436-452.
32. Gray, J. R. (2004). Integration of emotion and cognitive control. Current Directions in Psychological Science, 13, 46-48.
33. Herrmann, C. S., & Knight, R. T. (2000). Mechanisms of human attention: Event-related potentials and oscillations. Neuroscience and Biobehavioral Reviews, 25, 465-476.
34. Hickey, C., Chelazzi, L., & Theeuwes, J. (2010). Reward changes salience in human vision via the anterior cingulate. Journal of Neuroscience, 30, 11096-11103. doi: 10.1523/JNEUROSCI.1026-10.2010
35. Hillyard, S. A., & Anllo-Vento, L. (1998). Event-related brain potentials in the study of visual selective attention. Proceedings of the National Academy of Sciences, 95, 781-787.
36. Holmes, E. A. (2006). Positive interpretation training: Effects of mental imagery versus verbal training on positive mood. Behavior Therapy, 37, 237.
37. Holmes, E. A., Coughtrey, A. E., & Connor, A. (2008). Looking at or through rose-tinted glasses? imagery perspective and positive mood. Emotion, 8, 875-879.
38. Isen, A. M. (2000). Positive affect and decision making. In M. Lewis & J. M. Haviland-Jones (Eds.), Handbook of emotions (2nd ed., pp. 417-435). New York, NY: Guilford Press.
39. Isen, A. M., & Daubman, K. A. (1984). The influence of affect on categorization. Journal of Personality and Social Psychology, 47, 1206-1217.
40. Isen, A. M., Daubman, K. A., & Nowicki, G. P. (1987). Positive affect facilitates creative problem-solving. Journal of Personality and Social Psychology, 52, 1122-1131.
41. Isen, A. M., Rosenzweig, A. S., & Young, M. J. (1991). The influence of positive affect on clinical problem-solving. Medical Decision Making, 11, 221-227.
42. Ivry, R. B., & Robertson, L. C. (1998). The two sides of perception. Cambridge, MA: MIT Press.
43. Jeffreys, D. A., & Axford, J. G. (1972). Source locations of pattern-specific components of human visual evoked-potentials: 1. Component of striate cortical origin. Experimental Brain Research, 16, 1-21.
44. Kim, K. H., Kim, J. H., Yoon, J., & Jung, K.-Y. (2008). Influence of task difficulty on the features of event-related potential during visual oddball task. Neuroscience Letters, 445, 179-183.
45. Kok, A. (2001). On the utility of P3 amplitude as a measure of processing capacity. Psychophysiology, 38, 557-577.
46. Kringelbach, M. L., & Rolls, E. T. (2004). The functional neuroanatomy of the human orbitofrontal cortex: Evidence from neuroimaging and neuropsychology. Progress in Neurobiology, 72, 341-372.
47. Lavie, N. (1995). Perceptual load as a necessary condition for selective attention. Journal of Experimental Psychology: Human Perception and Performance, 21, 451-468. doi: 10.1037/0096-1523.21.3.451
48. Lavie, N. (2005). Distracted and confused? Selective attention under load. Trends in Cognitive Sciences, 9, 75-82. doi: 10.1016/j.tics.2004.12.004
49. Lavie, N., Hirst, A., de Fockert, J. W., & Viding, E. (2004). Load theory of selective attention and cognitive control. Journal of Experimental Psychology: General, 133, 339-354. doi: 10.1037/0096-3445.133.3.339
50. Lavie, N., & Tsal, Y. (1994). Perceptual load as a major determinant of the locus of selection in visual attention. Perception & Psychophysics, 56, 183-197. doi: 10.3758/BF03213897
51. Marois, R., & Ivanoff, J. (2005). Capacity limits of information processing in the brain. Trends in Cognitive Sciences, 9, 296-305. doi: 10.1016/j.tics.2005.04.010
52. Martínez, A., Anllo-Vento, L., Sereno, M. I., Frank, L. R., Buxton, R. B., Dubowitz, D. J.,. Hillyard, S. A. (1999). Involvement of striate and extrastriate visual cortical areas in spatial attention. Nature Neuroscience, 2, 364-369. doi: 10.1038/7274
53. McCarthy, G., & Donchin, E. (1981). A metric for thought: A comparison of P300 latency and reaction time. Science, 211, 77-80.
54. Michel, C. M., Seeck, M., & Landis, T. (1999). Spatiotemporal dynamics of human cognition. News in Physiological Sciences, 14, 206-214.
55. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167-202. doi: 10.1146/annurev.neuro.24.1.167
56. Mitterschiffthaler, M. T., Fu, C. H. Y., Dalton, J. A., Andrew, C. M., & Williams, S. C. R. (2007). A functional MRI study of happy and sad affective states induced by classical music. Human Brain Mapping, 28, 1150-1162.
57. Moriya, H., & Nittono, H. (2011). Effect of mood states on the breadth of spatial attentional focus: An event-related potential study. Neuropsychologia, 49, 1162-1170. doi: 10.1016/j.neuropsychologia.2011.02.036
58. Müller, N. G., Bartelt, O. A., Donner, T. H., Villringer, A., & Brandt, S. A. (2003). A physiological correlate of the "Zoom Lens" of visual attention. Journal of Neuroscience, 23, 3561-3565.
59. Murray, M. M., Brunet, D., & Michel, C. M. (2008). Topographic ERP analyses: A step-by-step tutorial review. Brain Topography, 20, 249-264.
60. Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005). Decision making, the P3, and the locus coeruleus-norepinephrine system. Psychological Bulletin, 131, 510-532. doi: 10.1037/0033-2909.131.4.510
61. Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995). Segmentation of brain electrical activity into microstates: Model estimation and validation. IEEE Transactions in Biomedical Engineering, 42, 658-665.
62. Pessoa, L., & Engelmann, J. B. (2010). Embedding reward signals into perception and cognition. Frontiers in Neuroscience, 4, 1-8.
63. Pogarell, O., Padberg, F., Karch, S., Segmiller, F., Juckel, G., Mulert, C.,. Koch, W. (2011). Dopaminergic mechanisms of target detection - P300 event related potential and striatal dopamine. Psychiatry Research: Neuroimaging, 194, 212-218. doi: 10.1016/j.pscychresns.2011.02.002
64. Polich, J. (2007). Updating p300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118, 2128-2148.
65. Polich, J., & Kok, A. (1995). Cognitive and biological determinants of P300: An integrative review. Biological Psychology, 41, 103-146.
66. Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25-42.
67. Posner, M. I., & Presti, D. E. (1987). Selective attention and cognitive control. Trends in Neurosciences, 10, 13-17.
68. Posner, M. I., Snyder, C. R., & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology: General, 109, 160-174. doi: 10.1037/0096-3445.109.2.160
69. Pourtois, G., Dan, E. S., Grandjean, D., Sander, D., & Vuilleumier, P. (2005a). Enhanced extrastriate visual response to bandpass spatial frequency filtered fearful faces: Time course and topographic evoked-potentials mapping. Human Brain Mapping, 26, 65-79. doi: 10.1002/hbm.20130
70. Pourtois, G., Delplanque, S., Michel, C., & Vuilleumier, P. (2008). Beyond conventional event-related brain potential (ERP): Exploring the time-course of visual emotion processing using topographic and principal component analyses. Brain Topography, 20, 265-277. doi: 10.1007/s10548-008-0053- 6
71. Pourtois, G., De Pretto, M., Hauert, C. A., & Vuilleumier, P. (2006). Time course of brain activity during change blindness and change awareness: Performance is predicted by neural events before change onset. Journal of Cognitive Neuroscience, 18, 2108-2129. doi: 10.1162/jocn.2006.18.12.2108
72. Pourtois, G., Grandjean, D., Sander, D., & Vuilleumier, P. (2004). Electrophysiological correlates of rapid spatial orienting towards fearful faces. Cerebral Cortex, 14, 619-633. doi: 10.1093/cercor/bhh023
73. Pourtois, G., Thut, G., Grave de Peralta, R., Michel, C., & Vuilleumier, P. (2005b). Two electrophysiological stages of spatial orienting towards fearful faces: Early temporo-parietal activation preceding gain control in extrastriate visual cortex. NeuroImage, 26, 149-163. doi: 10.1016/j.neuroimage.2005.01.015
74. Rauss, K. S., Pourtois, G., Vuilleumier, P., & Schwartz, S. (2009). Attentional load modifies early activity in human primary visual cortex. Human Brain Mapping, 30, 1723-1733. doi: 10.1002/hbm.20636
75. Rauss, K. S., Schwartz, S., & Pourtois, G. (2011). Top-down effects on early visual processing in humans: A predictive coding framework. Neuroscience and Biobehavioral Reviews, 35, 1237-1253.
76. Reisberg, D., Pearson, D. G., & Kosslyn, S. M. (2003). Intuitions and introspections about imagery: The role of imagery experience in shaping an investigator's theoretical views. Applied Cognitive Psychology, 17, 147-160.
77. Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004). The role of the medial frontal cortex in cognitive control. Science, 306, 443-447. doi: 10.1126/science.1100301
78. Rolls, E. T. (2000). The orbitofrontal cortex and reward. Cerebral Cortex, 10, 284-294.
79. Rossi, V., & Pourtois, G. (2011). Transient state-dependent fluctuations in anxiety measured using STAI, POMS, PANAS or VAS: A comparative review. Anxiety, Stress, and Coping, 1-43.
80. Rossi, V., & Pourtois, G. (2012). State-dependent attention modulation of human primary visual cortex: A high density ERP study. NeuroImage, 60, 2365-2378.
81. Rowe, G., Hirsh, J. B., & Anderson, A. K. (2007). Positive affect increases the breadth of attentional selection. Proceedings of the National Academy of Sciences, 104, 383-388.
82. Russell, J. A., & Carroll, J. M. (1999). On the bipolarity of positive and negative affect. Psychological Bulletin, 125, 3-30.
83. Sawaki, R., & Katayama, J. (2007). Difficulty of discrimination modulates attentional capture for deviant information. Psychophysiology, 44, 374-382.
84. Schwartz, S., Vuillemier, P., Hutton, C., Maravita, A., Dolan, R. J., & Driver, J. (2005). Attentional load and sensory competition in human vision: Modulation of fMRI responses by load at fixation during task-irrelevant stimulation in the peripheral visual field. Cerebral Cortex, 15, 770-786.
85. Shackman, A. J., Maxwell, J. S., McMenamin, B. W., Greischar, L. L., & Davidson, R. J. (2011). Stress potentiates early and attenuates late stages of visual processing. Journal of Neuroscience, 31, 1156-1161.
86. 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 Psychologists Press.
87. Stolarova, M., Keil, A., & Moratti, S. (2006). Modulation of the C1 visual event-related component by conditioned stimuli: Evidence for sensory plasticity in early affective perception. Cerebral Cortex, 16, 876-887.
88. Theeuwes, J. (2010). Top-down and bottom-up control of visual selection. Acta Psychologica, 135, 77-99. doi: 10.1016/j.actpsy.2010.02.006
89. Tibshirani, R., Walther, G., & Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society Series B, 63, 411-423.
90. Van Essen, D. C., Anderson, C. H., & Felleman, D. J. (1992). Information processing in the primate visual system: An integrated systems perspective. Science, 255, 419-423.
91. van Steenbergen, H., Band, G. P. H., & Hommel, B. (2009). Reward counteracts conflict adaptation: Evidence for a role of affect in executive control. Psychological Science, 20, 1473-1477. doi: 10.1111/j.1467-9280.2009. 02470.x
92. van Steenbergen, H., Band, G. P. H., & Hommel, B. (2010). In the mood for adaptation: How affect regulates conflict-driven control. Psychological Science, 21, 1629-1634.
93. Wang, Y., Yang, J. M., Yuan, J. J., Fu, A. G., Meng, X. X., & Li, H. (2011). The impact of emotion valence on brain processing of behavioral inhibitory control: Spatiotemporal dynamics. Neuroscience Letters, 502, 112-116.
94. Watkins, E. R., & Moberly, N. J. (2009). Concreteness training reduces dysphoria: A pilot proof-of-principle study. Behaviour Research and Therapy, 47, 48-53.
95. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063-1070. doi: 10.1037/0022-3514.54.6.1063
96. Watson, D., Wiese, D., Vaidya, J., & Tellegen, A. (1999). The two general activation systems of affect: Structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76, 820-838.
97. West, G. L., Anderson, A. A., Ferber, S., & Pratt, J. (2011). Electrophysiological evidence for biased competition in V1 for fear expressions. Journal of Cognitive Neuroscience, 23, 3410-3418.
98. Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5, 495-501. doi: 10.1038/nrn1411