Abstract
Prediction and cognitive control are hindered by uncertainty in achieving goal-directed behaviours. Specifically, the prediction of engagement decreases when facing increasing contextual uncertainty, and the involvement of cognitive control increases as immediate uncertainty grows. However, it is unclear how the relationship between predictions and cognitive control operates when individuals are simultaneously confronted with both contextual and immediate uncertainties. In the present study, we investigated and found an interaction effect of immediate and contextual uncertainty in the associated majority function task (aMFT). Principal component analysis revealed that contextual uncertainty in aMFT shared a common component with immediate uncertainty in aMFTs, n-backs, and flanker tasks. These results suggested that prediction under contextual uncertainty and cognitive control may share a common process related to an adaptive homogenization of two types of uncertainty in early information processing flow. This study provides further evidence for uncertainty processing mechanisms.
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The datasets used for the analyses in this study are available from the corresponding author.
References
Alexander, W. H., Deraeve, J., & Vassena, E. (2023). Dissociation and integration of outcome and state uncertainty signals in cognitive control. Cognitive, Affective & Behavioral Neuroscience, 23(3), 691–704. https://doi.org/10.3758/s13415-023-01091-7
Antoniou, K. (2023). The ups and downs of bilingualism: A review of the literature on executive control using event-related potentials. Psychonomic Bulletin & Review, 30(4), 1187–1226. https://doi.org/10.3758/s13423-023-02245-x
Baddeley, A. (1992). Working memory: The interface between memory and cognition. Journal of Cognitive Neuroscience, 4(3), 281–288. https://doi.org/10.1162/jocn.1992.4.3.281
Bakioğlu, F., Korkmaz, O., & Ercan, H. (2021). Fear of COVID-19 and positivity: Mediating role of intolerance of uncertainty, depression, anxiety, and stress. International Journal of Mental Health and Addiction, 19(6), 2369–2382. https://doi.org/10.1007/s11469-020-00331-y
Behrens, T. E., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. (2007). Learning the value of information in an uncertain world. Nature Neuroscience, 10(9), 1214–1221. https://doi.org/10.1038/nn1954
Bhanji, J. P., Beer, J. S., & Bunge, S. A. (2010). Taking a gamble or playing by the rules: Dissociable prefrontal systems implicated in probabilistic versus deterministic rule-based decisions. NeuroImage, 49(2), 1810–1819. https://doi.org/10.1016/j.neuroimage.2009.09.030
Brown, J. W., & Braver, T. S. (2005). Learned predictions of error likelihood in the anterior cingulate cortex. Science (New York, N.Y.), 307(5712), 1118–1121. https://doi.org/10.1126/science.1105783.
Bugg, J. M., Diede, N. T., Cohen-Shikora, E. R., & Selmeczy, D. (2015). Expectations and experience: Dissociable bases for cognitive control?. Journal of experimental psychology. Learning, memory, and cognition, 41(5), 1349–1373. https://doi.org/10.1037/xlm0000106.
Buhr, K., & Dugas, M. J. (2002). The Intolerance of Uncertainty Scale: Psychometric properties of the English version. Behaviour Research and Therapy, 40(8), 931–945. https://doi.org/10.1016/s0005-7967(01)00092-4
Casey, B. J., Thomas, K. M., Welsh, T. F., Badgaiyan, R. D., Eccard, C. H., Jennings, J. R., & Crone, E. A. (2000). Dissociation of response conflict, attentional selection, and expectancy with functional magnetic resonance imaging. Proceedings of the National Academy of Sciences of the United States of America, 97(15), 8728–8733. https://doi.org/10.1073/pnas.97.15.8728
Chalk, M., Seitz, A. R., & Seriès, P. (2010). Rapidly learned stimulus expectations alter perception of motion. Journal of Vision, 10(8), 2. https://doi.org/10.1167/10.8.2
Chen, Y. N., & Mitra, S. (2009). Distinctions between spatial and verbal working memory: A study using event-related potentials. Chang Gung Medical Journal, 32(4), 380–389.
Cooper, P. S., Wong, A. S., Fulham, W. R., Thienel, R., Mansfield, E., Michie, P. T., & Karayanidis, F. (2015). Theta frontoparietal connectivity associated with proactive and reactive cognitive control processes. NeuroImage, 108, 354–363. https://doi.org/10.1016/j.neuroimage.2014.12.028
De Cremer, D., Brebels, L., & Sedikides, C. (2008). Being uncertain about what? Procedural fairness effects as a function of general uncertainty and belongingness uncertainty. Journal of Experimental Social Psychology, 44(6), 1520–1525.
de Lange, F. P., Heilbron, M., & Kok, P. (2018). How do expectations shape perception? Trends in Cognitive Sciences, 22(9), 764–779. https://doi.org/10.1016/j.tics.2018.06.002
Di, S., Ma, C., Wu, X., & Lei, L. (2023). Gender differences in behavioral inhibitory control under evoked acute stress: An event-related potential study. Frontiers in Psychology, 14, 1107935. https://doi.org/10.3389/fpsyg.2023.1107935
Diamond, A. (2020). Executive functions. Handbook of Clinical Neurology, 173, 225–240. https://doi.org/10.1016/B978-0-444-64150-2.00020-4
Dogge, M., Custers, R., Gayet, S., Hoijtink, H., & Aarts, H. (2019). Perception of action-outcomes is shaped by life-long and contextual expectations. Scientific Reports, 9(1), 5225. https://doi.org/10.1038/s41598-019-41090-8
Dowker, A., & Sheridan, H. (2022). Relationships between mathematics performance and attitude to mathematics: Influences of gender, test anxiety, and working memory. Frontiers in Psychology, 13, 814992. https://doi.org/10.3389/fpsyg.2022.814992
Duncan, J. (2010). The multiple-demand (MD) system of the primate brain: Mental programs for intelligent behaviour. Trends in Cognitive Sciences, 14(4), 172–179. https://doi.org/10.1016/j.tics.2010.01.004
Duncan, J., & Owen, A. M. (2000). Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends in Neurosciences, 23(10), 475–483. https://doi.org/10.1016/s0166-2236(00)01633-7
Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149.
Fan, J. (2014). An information theory account of cognitive control. Frontiers in Human Neuroscience, 8, 680. https://doi.org/10.3389/fnhum.2014.00680
Fan, J., Guise, K. G., Liu, X., & Wang, H. (2008). Searching for the majority: Algorithms of voluntary control. PLoS ONE, 3(10), e3522. https://doi.org/10.1371/journal.pone.0003522
Fan, J., Van Dam, N. T., Gu, X., Liu, X., Wang, H., Tang, C. Y., & Hof, P. R. (2014). Quantitative characterization of functional anatomical contributions to cognitive control under uncertainty. Journal of Cognitive Neuroscience, 26(7), 1490–1506. https://doi.org/10.1162/jocn_a_00554
Gaillard, A., Fehring, D. J., & Rossell, S. L. (2021). Sex differences in executive control: A systematic review of functional neuroimaging studies. The European Journal of Neuroscience, 53(8), 2592–2611. https://doi.org/10.1111/ejn.15107
Grissom, N. M., & Reyes, T. M. (2019). Let’s call the whole thing off: Evaluating gender and sex differences in executive function. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 44(1), 86–96. https://doi.org/10.1038/s41386-018-0179-5
Gu, Y., Gu, S., Lei, Y., & Li, H. (2020). From uncertainty to anxiety: How uncertainty fuels anxiety in a process mediated by intolerance of uncertainty. Neural Plasticity, 2020, 8866386. https://doi.org/10.1155/2020/8866386
Ho, C., & Spence, C. (2005). Assessing the Effectiveness of Various Auditory Cues in Capturing a Driver's Visual Attention. Journal of Experimental Psychology: Applied, 11(3), 157–174. https://doi.org/10.1037/1076-898X.11.3.157
Hommel, B., Gehrke, J., & Knuf, L. (2000). Hierarchical coding in the perception and memory of spatial layouts. Psychological Research, 64(1), 1–10. https://doi.org/10.1007/s004260000032
Huang, B., Cao, G., Duan, Y., Yan, S., Yan, M., Yin, P., & Jiang, H. (2020). Gender differences in the association between hearing loss and cognitive function. American Journal of Alzheimer’s Disease and Other Dementias, 35, 1533317519871167. https://doi.org/10.1177/1533317519871167
Kelly, S. P., Corbett, E. A., & O’Connell, R. G. (2021). Neurocomputational mechanisms of prior-informed perceptual decision-making in humans. Nature Human Behaviour, 5(4), 467–481. https://doi.org/10.1038/s41562-020-00967-9
Korkmaz, H., & Güloğlu, B. (2021). The role of uncertainty tolerance and meaning in life on depression and anxiety throughout Covid-19 pandemic. Personality and Individual Differences, 179, 110952. https://doi.org/10.1016/j.paid.2021.110952
Menon, V., & D’Esposito, M. (2022). The role of PFC networks in cognitive control and executive function. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 47(1), 90–103. https://doi.org/10.1038/s41386-021-01152-w
Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167–202. https://doi.org/10.1146/annurev.neuro.24.1.167
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018). Working Memory 2.0. Neuron, 100(2), 463–475. https://doi.org/10.1016/j.neuron.2018.09.023
Mushtaq, F., Bland, A. R., & Schaefer, A. (2011). Uncertainty and cognitive control. Frontiers in Psychology, 2, 249.
Nigg, J. T. (2017). Annual Research Review: On the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 58(4), 361–383. https://doi.org/10.1111/jcpp.12675
Osman, M. (2010). Controlling uncertainty: A review of human behavior in complex dynamic environments. Psychological Bulletin, 136(1), 65–86. https://doi.org/10.1037/a0017815
Pan, Y., Jiang, Y., Guo, M., & Wu, X. (2022). The influence of uncertainty and validity of expectation on the perceptual decision of motion direction. Acta Psychologica Sinica, 54(6), 595.
Peng, S., Xuan, B., & Li, P. (2020). Fearful faces modulate cognitive control under varying levels of uncertainty: An event-related potential study. Brain and Cognition, 141, 105550. https://doi.org/10.1016/j.bandc.2020.105550
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 623–656.
Sotiropoulos, G., Seitz, A. R., & Seriès, P. (2011). Changing expectations about speed alters perceived motion direction. Current Biology: CB, 21(21), R883–R884. https://doi.org/10.1016/j.cub.2011.09.013
Soto, D., Hodsoll, J., Rotshtein, P., & Humphreys, G. W. (2008). Automatic guidance of attention from working memory. Trends in Cognitive Sciences, 12(9), 342–348. https://doi.org/10.1016/j.tics.2008.05.007
Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders’ method. Acta Psychologica, 30(Attention and performance II), 276-315.
Van de Cavey, J., & Hartsuiker, R. J. (2016). Is there a domain-general cognitive structuring system? Evidence from structural priming across music, math, action descriptions, and language. Cognition, 146, 172–184. https://doi.org/10.1016/j.cognition.2015.09.013
Wu, T., Chen, C., Spagna, A., Wu, X., Mackie, M. A., Russell-Giller, S., Xu, P., Luo, Y. J., Liu, X., Hof, P. R., & Fan, J. (2020a). The functional anatomy of cognitive control: A domain-general brain network for uncertainty processing. The Journal of Comparative Neurology, 528(8), 1265–1292. https://doi.org/10.1002/cne.24804
Wu, T., Spagna, A., Chen, C., Schulz, K. P., Hof, P. R., & Fan, J. (2020b). Supramodal mechanisms of the cognitive control network in uncertainty processing. Cerebral cortex (New York, N.Y.: 1991), 30(12), 6336–6349. https://doi.org/10.1093/cercor/bhaa189
Wu, T., Schulz, K. P., & Fan, J. (2021). Activation of the cognitive control network associated with information uncertainty. NeuroImage, 230, 117703. https://doi.org/10.1016/j.neuroimage.2020.117703
Yon, D., Zainzinger, V., de Lange, F. P., Eimer, M., & Press, C. (2021). Action biases perceptual decisions toward expected outcomes. Journal of Experimental Psychology. General, 150(6), 1225–1236. https://doi.org/10.1037/xge0000826
Yu, A. J., & Dayan, P. (2005). Uncertainty, neuromodulation, and attention. Neuron, 46(4), 681–692. https://doi.org/10.1016/j.neuron.2005.04.026
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This work was supported by China National Education Scientific Planning Project (No.: DBA230368).
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Y. A. P. and X. W. conceived the study; Y. A. P., M. J. G. and X. W. analyzed the data. All authors discussed the results and contributed to the writing of the paper.
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Pan, Y., Guo, M., Jiang, Y. et al. The interplay of contextual and immediate uncertainty: evidence for a common processing mechanism in prediction and cognitive control. Curr Psychol (2024). https://doi.org/10.1007/s12144-024-05755-6
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DOI: https://doi.org/10.1007/s12144-024-05755-6