Neural evidence reveals the rapid effects of reward history on selective attention
Abstract
Selective attention is often framed as being primarily driven by two factors: task-relevance and physical salience. However, factors like selection and reward history, which are neither currently task-relevant nor physically salient, can reliably and persistently influence visual selective attention. The current study investigated the nature of the persistent effects of irrelevant, physically non-salient, reward-associated features. These features affected one of the earliest reliable neural indicators of visual selective attention in humans, the P1 event-related potential, measured one week after the reward associations were learned. However, the effects of reward history were moderated by current task demands. The modulation of visually evoked activity supports the hypothesis that reward history influences the innate salience of reward associated features, such that even when no longer relevant, nor physically salient, these features have a rapid, persistent, and robust effect on early visual selective attention.
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This P1 effect disappeared when the stimulus previously associated with reward appeared outside of the task-relevant space.
“Moreover, this effect disappeared when the stimulus previously associated with reward appeared outside of the task-relevant space.”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as MacLean & Giesbrecht, 2015
The P1 amplitude was increased in response to a stimulus previously associated with high reward, but only when a task-relevant item appeared at the location of that stimulus.
“They observed that the P1 amplitude was increased in response to a stimulus previously associated with high reward, but only when a task-relevant item appeared at the location of that stimulus.”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as MacLean & Giesbrecht, 2015
Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · see citing works
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733 · see citing works
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889 · see citing works
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159 · see citing works
Distracted and confused? Selective attention under load
Lavie, N. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.004 · Cited by 2,102 · see citing works
Load Theory of Selective Attention and Cognitive Control
Lavie, N., Hirst, A., de Fockert, J. W., & Viding, E. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.3.339 · Cited by 1,812 · cited 1× · see citing works
“For example, subjects may be able to sometimes reject reward-associated distracters that initially capture attention, depending on factors such as the perceptual or cognitive load they experience on a given trial (Lavie and Cox, 1997; Kyllingsbæk et al., 2011; Lavie et al., 2004).”
BackgroundTop-down versus bottom-up attentional control: a failed theoretical dichotomy
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.06.010 · Cited by 1,557 · see citing works
Electrophysiological correlates of feature analysis during visual search
LUCK, S. J., & HILLYARD, S. A. (1994) · Psychophysiology · doi:10.1111/j.1469-8986.1994.tb02218.x · Cited by 1,485 · see citing works
Top–down and bottom–up control of visual selection
Theeuwes, J. (2010) · Acta Psychologica · doi:10.1016/j.actpsy.2010.02.006 · Cited by 1,385 · see citing works
Value-driven attentional capture
Anderson, B. A., Laurent, P. A., & Yantis, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104047108 · Cited by 1,098 · see citing works
Reward Changes Salience in Human Vision via the Anterior Cingulate
Hickey, C., Chelazzi, L., & Theeuwes, J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1026-10.2010 · Cited by 606 · cited 4× · see citing works
“Furthermore, the contrast of the current results with those previously observed (specifically Qi et al., 2013 and Hickey et al., 2010 respectively) suggest that the time course of reward history's influence on attention may be task dependent and whether task relevance moderates the effect of reward…”
BackgroundResultInfluentialNilli Lavie, C., & Cox, S. G. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00432.x · Cited by 381 · see citing works
Hopf, J., & Mangun, G. R. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00313-8 · Cited by 312 · see citing works
A value-driven mechanism of attentional selection
Anderson, B. A. (2013) · Journal of Vision · doi:10.1167/13.3.7 · Cited by 299 · see citing works
Persistence of value-driven attentional capture.
Anderson, B. A., & Yantis, S. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0030860 · Cited by 273 · see citing works
Serences, J. T., & Yantis, S. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj146 · Cited by 261 · see citing works
Automatic Removal of Ocular Artifacts in the EEG without an EOG Reference Channel
Gómez-Herrero, G., Clercq, W. D., Anwar, H., Kara, O., Egiazarian, K., Huffel, S. V., & Paesschen, W. V. (2006) · Nordic Signal Processing Symposium · doi:10.1109/norsig.2006.275210 · Cited by 247 · see citing works
Visual selective attention: A theoretical analysis
Theeuwes, J. (1993) · Acta Psychologica · doi:10.1016/0001-6918(93)90042-p · Cited by 187 · see citing works
Value-driven attentional priority signals in human basal ganglia and visual cortex
Anderson, B. A., Laurent, P. A., & Yantis, S. (2014) · Brain Research · doi:10.1016/j.brainres.2014.08.062 · Cited by 150 · see citing works
Attention to adjacent and separate positions in space: An electrophysiological analysis
Heinze, H., Luck, S. J., Münte, T. F., Gös, A., Mangun, G. R., & Hillyard, S. A. (1994) · Perception & Psychophysics · doi:10.3758/bf03211689 · Cited by 122 · see citing works
Neural correlates of reward-driven attentional capture in visual search
Qi, S., Zeng, Q., Ding, C., & Li, H. (2013) · Brain Research · doi:10.1016/j.brainres.2013.07.044 · Cited by 98 · see citing works
Population Response Profiles in Early Visual Cortex Are Biased in Favor of More Valuable Stimuli
Serences, J. T., & Saproo, S. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01090.2009 · Cited by 97 · see citing works
李, 艶., Someya, S., & Okamoto, K. (2009) · Journal of Visualization · doi:10.1007/s12650-009-0006-5 · Cited by 48 · see citing works
Reward- and Attention-related Biasing of Sensory Selection in Visual Cortex
Buschschulte, A., Boehler, C. N., Strumpf, H., Stoppel, C. M., Heinze, H., Schoenfeld, M. A., & Hopf, J. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00539 · Cited by 30 · see citing works
Kyllingsbæk, S., Sy, J. L., & Giesbrecht, B. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.11.039 · Cited by 27 · see citing works
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Selection history: How reward modulates selectivity of visual attention.
Failing, M., & Theeuwes, J. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1380-y · Cited by 345 · see citing works
“Converging evidence from another study that demonstrated modulations in the P1 component due to reward-based selection history up to 7 days after the initial training session (MacLean & Giesbrecht, 2015).”
BackgroundResultGrounding cognitive control in associative learning
Abrahamse, E., Braem, S., Notebaert, W., & Verguts, T. (2016) · Psychological Bulletin · doi:10.1037/bul0000047 · Cited by 276 · see citing works
Anderson, B. A., Kuwabara, H., Wong, D. F., Roberts, J., Rahmim, A., Brašić, J. R., & Courtney, S. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.062 · Cited by 55 · see citing works
Rewarded visual items capture attention only in heterogeneous contexts
Feldmann‐Wüstefeld, T., Brandhofer, R., & Schubö, A. (2016) · Psychophysiology · doi:10.1111/psyp.12641 · Cited by 49 · see citing works
Irrelevant learned reward associations disrupt voluntary spatial attention
MacLean, M. H., Diaz, G. K., & Giesbrecht, B. (2016) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-016-1103-x · Cited by 27 · see citing works
Self-citation
- Authors
- MacLean, M. H., & Giesbrecht, B.
- Affiliations
- University of California, Santa Barbara (US)
- Corresponding author
- MacLean, Mary H.
- ORCID
- Giesbrecht, Barry
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 1606
- Pages
- 86-94
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W2050357157
- Cited by
- 76
- References
- 26
- Citations by year
- 2026: 3 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 10 · 2020: 9 · 2019: 12 · 2018: 9 · 2017: 6 · 2016: 9 · 2015: 3 · 2013: 1
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Institute for Collaborative Biotechnologies (W911NF-09-0001)
- 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
- reward history, visual selective attention, salience, task demands, reward learning
- MeSH terms
- Adolescent, Adult, Attention, Brain, Evoked Potentials, Female, Humans, Male, Reaction Time, Reward, Time Factors, Young Adult
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