Reward supports flexible orienting of attention to category information and influences subsequent memory
Preparatory control of attention facilitates the efficient processing and encoding of an expected stimulus. However, this can occur at the expense of increasing the processing cost of unexpected stimuli. Preparatory control can be influenced by motivational factors, such as the expectation of a reward. Interestingly, expectation of a high reward can increase target processing, as well as reduce the cost associated with reorienting. Using a semantic cueing paradigm, we examined the interaction of reward expectation and cue-validity on semantic judgment performance and subsequent memory. Preparatory attention was assessed with pupillometry. Valid category cueing was associated with better semantic judgment performance and better subsequent memory compared to invalidly cued items. Higher reward also resulted in a larger pre-target pupil diameter, which could be indicative of increased preparatory task engagement or arousal. Critically, higher reward also reduced reorienting cost in both semantic judgment and subsequent memory performance. Our findings suggest that reward expectation can facilitate the effective control of preparatory attention for semantic information, and can support optimal goal-directed behavior based on changing task demands.
KeywordsReward Category-cueing Preparatory attention Reorienting Memory Pupillometry
This work was supported by a grant awarded to Dr. Michael Chee from the National Medical Research Council, Singapore (NMRC/STaR/0015/2013). Special thanks to Karen Sasmita for assistance with data collection and data visualization, and Nicholas Chee for assistance with data collection.
- Bates, D., Mächler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
- Desimone, R., & Duncan, J. (1995). Neural Mechanisms of Selective Visual Attention. Annual Review of Neuroscience, 18, 193–222. https://doi.org/10.1146/annurev.ne.18.030195.001205 CrossRefPubMedGoogle Scholar
- Engelmann, J. B., Damaraju, E., Padmala, S., & Pessoa, L. (2009). Combined effects of attention and motivation on visual task performance: transient and sustained motivational effects. Frontiers in Human Neuroscience, 3, 4. https://doi.org/10.3389/neuro.09.004.2009 CrossRefPubMedPubMedCentralGoogle Scholar
- Massar, S. A. A., Sasmita, K., Lim, J., & Chee, M. W. L. (2018). Motivation alters implicit temporal attention through sustained and transient mechanisms: A behavioral and pupillometric study. Psychophysiology, e13275. https://doi.org/10.1111/psyp.13275
- Murty, V. P., Tompary, A., Adcock, R. A., & Davachi, L. (2017). Selectivity in postencoding connectivity with high-level visual cortex is associated with reward-motivated memory. The Journal of Neuroscience, 37(3), 537–545. https://doi.org/10.1523/JNEUROSCI.4032-15.2017 CrossRefPubMedPubMedCentralGoogle Scholar
- Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision. https://doi.org/10.1163/156856897X00366
- Stanek, J. K., Dickerson, K. C., Chiew, K. S., Clement, N. J., & Adcock, R. A. (2018). Expected reward value and reward uncertainty have temporally dissociable effects on memory formation. BioRxiv. Retrieved from https://www.biorxiv.org/content/early/2018/03/11/280164
- Wittmann, B. C., Schott, B. H., Guderian, S., Frey, J. U., Heinze, H. J., & Düzel, E. (2005). Reward-related fMRI activation of dopaminergic midbrain is associated with enhanced hippocampus-dependent long-term memory formation. Neuron, 45(3), 459–467. https://doi.org/10.1016/j.neuron.2005.01.010 CrossRefPubMedGoogle Scholar