Cited by 40Neural and Behavioral Psychology StudiesVisual Attention and Saliency DetectionVisual perception and processing mechanisms

On the distinction between value-driven attention and selection history: Evidence from individuals with depressive symptoms

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Anderson, Brian A., Chiu, Michelle, DiBartolo, Michelle M., Leal, Stephanie L.·2017·Psychonomic Bulletin & Review

Abstract

When predictive of extrinsic reward as targets, stimuli rapidly acquire the ability to automatically capture attention. Attentional biases for former targets of visual search also can develop without reward feedback but typically require much longer training. These learned biases towards former targets often are conceptualized within a single framework and might differ merely in degree. That is, both are the result of the reinforcement of selection history, with extrinsic reward for correct report of the target providing greater reinforcement than correct report alone. A direct test of this shared mechanisms hypothesis is lacking, however. Recent evidence demonstrates that depressed individuals present with blunted value-driven attentional biases. Based on the shared mechanisms hypothesis, we predicted that depressed individuals would similarly show blunted attentional biases for former targets following unrewarded training. To the contrary, however, we found that the effects of selection history on attention were robust and equivalent between individuals experiencing depressive symptoms and control participants, whereas attentional capture by previously reward-associated stimuli was blunted in depressed individuals. Our results suggest a qualitative distinction between the effects of reward history and the effects of selection history on attention, with depressive symptoms impairing the former while leaving the latter unaffected.

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  • Dopamine has been implicated to convey reward signal from brain areas concerned with reward to areas that code for selection priority.

    “Dopamine has been implicated to convey such information (Anderson, Kuwabara, et al., 2016; Anderson, Chiu, et al., 2017)”

    From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Anderson, Chiu, et al., 2017

    The Discussion describes reward-related signals as teaching signals to the attention system that strengthen a stimulus representation and bias selection in sensory areas. It does not identify dopamine as the carrier of those signals or specify a route from reward-processing areas to selection-priority areas. Dopamine appears in the References as part of another paper’s title, not as an explanation in this paper. (LLM, conf=0.83)

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Research works printed but not linked: 28

  1. Anderson BA 2013 A value-driven mechanism of attentional selection Journal of Vision 13 3 7 1 16 PMC3630531 23589803
  2. Anderson BA 2016 The attention habit: How reward learning shapes attentional selection Annals of the New York Academy of Sciences 1369 24 39 26595376
  3. Anderson BA in press Reward processing in the value-driven attention network: Reward signals tracking cue identity and location Social, Cognitive, and Affective Neuroscience PMC5390735 27677944
  4. Anderson BA Kuwabara H Wong DF Gean EG Rahmim A Brasic JR George N Frolov B Courtney SM Yantis S 2016 The role of dopamine in value-based attentional orienting Current Biology 26 550 555 26877079 PMC4767677
  5. Anderson BA Laurent PA Yantis S 2011 Value-driven attentional capture Proceedings of the National Academy of Sciences, USA 108 10367 10371 PMC3121816 21646524
  6. Anderson BA Laurent PA Yantis S 2014 Value-driven attentional priority signals in human basal ganglia and visual cortex Brain Research 1587 88 96 25171805 PMC4253668
  7. Anderson BA Yantis S 2012 Value-driven attentional and oculomotor capture during goal-directed, unconstrained viewing Attention, Perception, and Psychophysics 74 1644 1653 PMC3499680 22810561
  8. Anderson BA Yantis S 2013 Persistence of value-driven attentional capture Journal of Experimental Psychology: Human Perception and Performance 39 6 9 23181684 PMC3989924
  9. Awh E Belopolsky AV Theeuwes J 2012 Top-down versus bottom-up attentional control: A failed theoretical dichotomy Trends in Cognitive Sciences 16 437 443 22795563 PMC3426354
  10. Della Libera C Chelazzi L 2009 Learning to attend and to ignore is a matter of gains and losses Psychological Science 20 778 784 19422618
  11. Eshel N Roiser JP 2010 Reward and punishment processing in depression Biological Psychiatry 68 118 124 20303067
  12. Hickey C Peelen MV 2015 Neural mechanisms of incentive salience in naturalistic human vision Neuron 85 512 518 25654257
  13. Herzog MH Fahle M 1999 Effects of biased feedback on learning and deciding in a vernier discrimination task Vision Research 39 4232 4243 10755160
  14. Kyllingsbaek S Schneider WX Bundesen C 2001 Automatic attraction of attention to former targets in visual displays of letters Perception and Psychophysics 63 85 98 11304019
  15. Kyllingsbaek S Van Lommel S Sorensen TA Bundesen C 2014 Automatic attraction of visual attention by supraletter features of former target strings Frontiers in Psychology 5 1383 1 7 25505892 PMC4245895
  16. Lin Z Lu ZH He S 2016 Decomposing experience-driven attention: opposite attentional effects of previously predictive cues Attention, Perception, and Psychophysics 78 2185 2198 PMC5014634 27068051
  17. Qu Z Hillyard SA Ding Y in press Perceptual learning induces persistent attentional capture by nonsalient shapes Cerebral Cortex 26759483
  18. Roelfsema PR van Ooyen A 2005 Attention-gated reinforcement learning of internal representations for classification Neural Computation 17 2176 2214 16105222
  19. Roelfsema PR van Ooyen A Watanabe T 2010 Perceptual learning rules based on reinforcers and attention Trends in Cognitive Sciences 14 64 71 20060771 PMC2835467
  20. Rouder JN Speckman PL Sun D Morey RD Iverson G 2009 Bayesian t tests for accepting and rejecting the null hypothesis Psychonomic Bulletin and Review 16 225 237 19293088
  21. Sali AW Anderson BA Yantis S 2014 The role of reward prediction in the control of attention Journal of Experimental Psychology: Human Perception and Performance 40 1654 1664 24955700 PMC4313538
  22. Sasaki Y Nanez JE Watanabe T 2010 Advances in visual perceptual learning and plasticity Nature Reviews Neuroscience 11 53 60 19953104 PMC2864603
  23. Seitz A Lefebvre C Watanabe T Jolicoeur P 2005 Requirement for high-level processing in subliminal learning Current Biology 15 R753 R755 16169472
  24. Seitz A Watanabe T 2005 A unified model for perceptual learning Trends in Cognitive Sciences 9 329 334 15955722
  25. Sha LZ Jiang YV 2016 Components of reward-driven attentional capture Attention, Perception, and Psychophysics 78 403 414 26676872
  26. Shankman SA Klein DN Tenke CE Bruder GE 2007 Reward sensitivity in depression: A biobehavioral study Journal of Abnormal Psychology 116 85 104 17324020
  27. Shiffrin RM Schneider W 1977 Controlled and automatic human information processing II: Perceptual learning, automatic attending, and general theory Psychological Review 84 127 190
  28. Stankevich BA Geng JJ 2014 Reward associations and spatial probabilities produce additive effects on attentional selection Attention, Perception, and Psychophysics 76 2315 2325 24944105

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Authors
Anderson, B. A., Chiu, M., DiBartolo, M. M., & Leal, S. L.
Affiliations
Johns Hopkins University (US)
Corresponding author
Anderson, Brian A.
Venue
Psychonomic Bulletin & Review
Published
2017-02-16
Volume
24
Issue
5
Pages
1636-1642
ISSN
  • 1069-9384 (ISSN-L)
  • 1531-5320
OpenAlex
W2588001797
Cited by
40
References
4
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 5 · 2018: 7 · 2017: 1
FWCI
2.98
Type
journal article
Language
en
Open access
Locations
  • Psychonomic Bulletin & Review (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute on Drug Abuse (R01-DA013165)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
value-driven attention, selection history, attentional bias, depressive symptoms, attentional capture, reward history, visual search, reward feedback
MeSH terms
Attentional Bias, Adult, Attention, Depression, Female, Humans, Learning, Male, Reward, Young Adult

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