How Attention Changes in Response to Incentives
Open accessAbstract
Although the performance of simple cognitive tasks can be enhanced if an incentive is provided, the mechanisms enabling such motivational control are not known. This study sought to uncover how mechanisms of attention and readiness are altered by reward-associated incentive stimuli. We measured EEG/ERP activity as human adults viewed a high- or low-incentive cue, experienced a short preparation interval, and then performed a simple visual search task to gain the predicted reward. Search performance was faster with high versus low incentives, and this was accompanied by distinct incentive-related EEG/ERP patterns at each phase of the task (incentive, preparation, and search). First, and most surprisingly, attention to high but not low incentive cues was actively suppressed, as indexed by a PD component in response to the incentive display. During the subsequent preparation interval, neural oscillations in the alpha frequency range were reduced after high-incentive cues, indicating heightened visual readiness. Finally, attentional orienting to the target in the search array was deployed with relatively little effort on high-incentive trials, as indexed by a reduced N2pc component. These results reveal the chain of events by which the brain's executive control mechanisms respond to incentives by altering the operation of multiple processing systems to produce optimal performance.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Incentives improve performance via motivating strategic processes such as preparation of an appropriate attentional or oculomotor orienting response or facilitating selective attenuation of irrelevant distractors.
“Studies like these suggest that incentives improve performance via motivating strategic processes such as the preparation of an appropriate attentional or oculomotor orienting response (e.g., Bucker & Theeuwes, 2014; Engelmann & Pessoa, 2007; Milstein & Dorris, 2007; Sawaki, Luck, & Raymond, 2015; Small et al., 2005) or facilitating selective attenuation of irrelevant distractors (i.e., attent”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Sawaki et al., 2015
The Results (Preparation Interval TFR) report greater visual readiness after high-incentive cues, and the Abstract reports faster search and more efficient attentional orienting to the target. But the Introduction says the target’s unpredictable location discouraged anticipatory spatial orienting, so the paper does not establish preparation of a specific orienting response; it supports the broader attentional-readiness account. (LLM, conf=0.84)
Experimental — accuracy not yet measuredIncentives ultimately benefit attentional processing and enhance the perceptual representation of reward-associated targets.
“This notion is in line with findings showing that incentives ultimately benefit attentional processing (Kiss et al., 2009; Sawaki et al., 2015) as well as enhance the perceptual representation of reward-associated targets (Seitz, Kim & Watanabe, 2009; Serences, 2008).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Sawaki et al., 2015
Sawaki et al. (2015) observed reduced alpha power for high-reward relative to low-reward trials during a preparatory interval between reward cue offset and search display onset.
“Corroborating electrophysiological evidence comes from a study by Sawaki and colleagues (Sawaki, Luck, & Raymond, 2015), who observed reduced alpha power for high-reward relative to low-reward trials during a preparatory interval (between reward cue offset and search display onset).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Sawaki et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
Anderson, D. E., Ester, E. F., Klee, D., Vogel, E. K., & Awh, E. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00649 · Cited by 5 · see citing works
RetractedDelorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323 · see citing works
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · see citing works
(2005) · Cited by 5,977 · see citing works
ERPLAB: an open-source toolbox for the analysis of event-related potentials
López‐Calderón, J., & Luck, S. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00213 · Cited by 2,599 · see citing works
Self-citationDopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396 · see citing works
Analyzing Neural Time Series Data: Theory and Practice
Cohen, M. X. (2014) · doi:10.7551/mitpress/9609.001.0001 · Cited by 2,105 · 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
Self-citationJung, T., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & B, T. J. S. A. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00386-2 · Cited by 1,326 · see citing works
Spatial filtering during visual search: Evidence from human electrophysiology.
Luck, S. J., & Hillyard, S. A. (1994) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.20.5.1000 · Cited by 1,122 · see citing works
Self-citationValue-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
The N2pc component as an indicator of attentional selectivity
Eimer, M. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(96)95711-9 · Cited by 1,018 · see citing works
Permutation Methods: A Basis for Exact Inference
Ernst, M. (2004) · Statistical Science · doi:10.1214/088342304000000396 · Cited by 858 · see citing works
Neuroimaging studies of priming
Henson, R. N. (2003) · Progress in Neurobiology · doi:10.1016/s0301-0082(03)00086-8 · Cited by 745 · see citing works
Brain Oscillatory Substrates of Visual Short-Term Memory Capacity
Sauseng, P., Klimesch, W., Heise, K.-F., Gruber, W. R., Holz, E. M., Karim, A. A., Glennon, M., Gerloff, C. P., Birbaumer, N., & Hummel, F. C. (2009) · Current Biology · doi:10.1016/j.cub.2009.08.062 · Cited by 707 · see citing works
From prediction error to incentive salience: mesolimbic computation of reward motivation.
Berridge, K. C. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.07990.x · Cited by 700 · see citing works
Buckner, R. L., Goodman, J. M., Burock, M. A., Rotte, M., Koutstaal, W., Schacter, D. L., Rosen, B. R., & Dale, A. M. (1998) · Neuron · doi:10.1016/s0896-6273(00)80456-0 · Cited by 622 · see citing works
Electrophysiological Indices of Target and Distractor Processing in Visual Search
Hickey, C., Di Lollo, V., & McDonald, J. J. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21039 · Cited by 607 · 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 · see citing works
&NA; (1994) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199401000-00014 · Cited by 557 · see citing works
Jokisch, D., & Jensen, O. B. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5399-06.2007 · Cited by 508 · see citing works
Sawaki, R., & Luck, S. J. (2010) · Attention, Perception, & Psychophysics · doi:10.3758/app.72.6.1455 · Cited by 487 · see citing works
Self-citationSerial deployment of attention during visual search.
Woodman, G. F., & Luck, S. J. (2003) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.29.1.121 · Cited by 394 · see citing works
Self-citationSerial deployment of attention during visual search.
Woodman, G. F., & Luck, S. J. (2003) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.29.1.121 · Cited by 361 · see citing works
Self-citationOcular artifacts in EEG and event-related potentials I: Scalp topography
Lins, O. G., Picton, T. W., Berg, P., & Scherg, M. (1993) · Brain Topography · doi:10.1007/bf01234127 · Cited by 324 · see citing works
Suppression of Salient Objects Prevents Distraction in Visual Search
Gaspar, J. M., & McDonald, J. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4161-13.2014 · Cited by 305 · see citing works
Selective Visual Attention and Motivation
Raymond, J. E., & O’Brien, J. L. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02391.x · Cited by 269 · see citing works
Self-citationKiss, M., Driver, J., & Eimer, M. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02281.x · Cited by 267 · see citing works
A Common Neural Mechanism for Preventing and Terminating the Allocation of Attention
Sawaki, R., Geng, J. J., & Luck, S. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1864-12.2012 · Cited by 263 · see citing works
Self-citationPrestimulus alpha and mu activity predicts failure to inhibit motor responses
Mazaheri, A., Nieuwenhuis, I. L. C., van Dijk, H., & Jensen, O. B. (2009) · Human Brain Mapping · doi:10.1002/hbm.20763 · Cited by 261 · see citing works
Monetary Incentives Enhance Processing in Brain Regions Mediating Top-down Control of Attention
Small, D. M., Gitelman, D., Simmons, K., Bloise, S. M., Parrish, T., & Mesulam, M.-M. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi063 · Cited by 242 · see citing works
Mazaheri, A., van Schouwenburg, M. R., Dimitrijevic, A., Denys, D., Cools, R., & Jensen, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.052 · Cited by 234 · see citing works
On the role of selective attention in visual perception
Luck, S. J., & Ford, M. A. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.825 · Cited by 228 · see citing works
Self-citationMotivation sharpens exogenous spatial attention.
Engelmann, J. B., & Pessoa, L. (2007) · Emotion · doi:10.1037/1528-3542.7.3.668 · Cited by 221 · see citing works
Luck, S. J. (2011) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780195374148.013.0161 · Cited by 212 · see citing works
Self-citationHopf, J.-M., Boelmans, K., Schoenfeld, M. A., Luck, S. J., & Heinze, H.-J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3564-03.2004 · Cited by 209 · see citing works
Self-citationKiss, M., Grubert, A., Petersen, A., & Martin Eimer, A. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00127 · Cited by 163 · see citing works
The Neural Site of Attention Matches the Spatial Scale of Perception
Hopf, J., Luck, S. J., Boelmans, K., Schoenfeld, M. A., Boehler, C. N., Rieger, J. W., & Heinze, H. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4510-05.2006 · Cited by 135 · see citing works
Self-citationActive suppression after involuntary capture of attention
Sawaki, R., & Luck, S. J. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0353-4 · Cited by 121 · see citing works
Self-citationSerial deployment of attention during visual search
Woodman, G. F., & Luck, S. J. (2010) · Journal of Vision · doi:10.1167/1.3.103 · Cited by 95 · see citing works
Self-citationThiel, C. M., & Fink, G. R. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00017.2007 · Cited by 89 · see citing works
Motivation and movement: the effect of monetary incentive on performance speed
Mir, P., Trender‐Gerhard, I., Edwards, M. J., Schneider, S. A., Bhatia, K. P., & Jahanshahi, M. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2583-5 · Cited by 63 · see citing works
Burra, N., & Kerzel, D. (2014) · Psychophysiology · doi:10.1111/psyp.12215 · Cited by 57 · see citing works
Learned Predictiveness Speeds Visual Processing
O’Brien, J. L., & Raymond, J. E. (2012) · Psychological Science · doi:10.1177/0956797611429800 · Cited by 47 · see citing works
Self-citationDistractors associated with reward break through the focus of attention
Munneke, J., Belopolsky, A. V., & Theeuwes, J. (2016) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-016-1075-x · Cited by 28 · see citing works
Dunn, S. A., Freeth, M., & Milne, E. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2751-3 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
“…stimulus may have been attended because its physical salience was not carefully controlled (e.g., Öhman, Lundqvist, & Esteves, 2001; Schmidt et al., 2015a) or because it was not associated with any costs for task performance or any influence on the aversive experience (e.g., Schmidt et al., 2015b).”
BackgroundDistractors associated with reward break through the focus of attention
Munneke, J., Belopolsky, A. V., & Theeuwes, J. (2016) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-016-1075-x · Cited by 28 · see citing works
- Authors
- Sawaki, R., Luck, S. J., & Raymond, J. E.
- Affiliations
- University of Birmingham (GB)
- University of California, Davis (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2015-11-01
- Volume
- 27
- Issue
- 11
- Pages
- 2229-2239
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC4589447
- OpenAlex
- W2101784763
- Cited by
- 57
- References
- 48
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 3 · 2022: 2 · 2021: 6 · 2020: 5 · 2019: 8 · 2018: 5 · 2017: 8 · 2016: 5 · 2015: 1
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
- Funders
- National Institutes of Health
- Biotechnology and Biological Sciences Research Council (BB/J020206/1)
- Economic and Social Research Council (ES/L000210/1)
- Japan Society for the Promotion of Science
- National Institute of Mental Health (R01MH076226, MH076226, R01MH065034)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- incentive motivation, reward, attentional control, visual search, readiness potential, alpha oscillations, N2pc, attentional orienting, executive function, event-related potentials
- MeSH terms
- Adolescent, Adult, Attention, Brain Mapping, Cues, Electroencephalography, Evoked Potentials, Female, Humans, Male, Motivation, Photic Stimulation, Reaction Time, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review