Skip to main content
Log in

Some young adults hyper-bind too: Attentional control relates to individual differences in hyper-binding

  • Brief Report
  • Published:
Psychonomic Bulletin & Review Aims and scope Submit manuscript

Abstract

Hyper-binding – the erroneous encoding of target and distractor information into associative pairs in memory – has been described as a unique age effect caused by declines in attentional control. Previous work has found that, on average, young adults do not hyper-bind. However, if hyper-binding is caused by reduced attentional control, then young adults with poor attention regulation should also show evidence of hyper-binding. We tested this question with an individual differences approach, using a battery of attentional control tasks and relating this to individual differences in hyper-binding. Participants (N = 121) completed an implicit associative memory test measuring memory for both target-distractor (i.e., hyper-binding) and target-target pairs, followed by a series of tasks measuring attentional control. Our results show that on average, young adults do not hyper-bind, but as predicted, those with poor attentional control show a larger hyper-binding effect than those with good attentional control. Exploratory analyses also suggest that individual differences in attentional control relate to susceptibility to interference at retrieval. These results support the hypothesis that hyper-binding in older adults is due to age-related declines in attentional control, and demonstrate that hyper-binding may be an issue for any individual with poor attentional control, regardless of age.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. Missing sex data for two participants. Missing age data for three participants, but indicated to researcher that they were under 30 years.

  2. Using pictures and words from opposing living and non-living categories served as a pilot for a different experiment and does not serve any purpose in the current study.

  3. A sensitivity analysis indicated that this analysis had 80% power to detect a small to medium effect (ηp2 = .065) in the Block type × Pair type interaction.

References

  • Allen, J., Hellerstedt, R., Sharma, D., & Bergström, Z. M. (2020). Distraction by unintentional recognition: Neurocognitive mechanisms and effects of aging. Psychology and Aging, 35(5), 639.

    Article  PubMed  Google Scholar 

  • Aly, M., & Turk-Browne, N. B. (2016a). Attention promotes episodic encoding by stabilizing hippocampal representations. Proceedings of the National Academy of Sciences, 113(4), E420–E429.

    Article  ADS  CAS  Google Scholar 

  • Aly, M., & Turk-Browne, N. B. (2016b). Attention stabilizes representations in the human hippocampus. Cerebral Cortex, 26(2), 783–796.

    PubMed  Google Scholar 

  • Aly, M., & Turk-Browne, N. B. (2017). How hippocampal memory shapes, and is shaped by, attention. In D. E. Hannula & M. C. Duff (Eds.), The Hippocampus from Cells to Systems (pp. 369–403). Springer International Publishing. https://doi.org/10.1007/978-3-319-50406-3_12

    Chapter  Google Scholar 

  • Amer, T., Campbell, K. L., & Hasher, L. (2016). Cognitive control as a double-edged sword. Trends in Cognitive Sciences, 20(12), 905–915.

    Article  PubMed  Google Scholar 

  • Anderson, M. C., & Nelly, J. H. (1996). Interference and inhibition in memory retrieval. In Memory (pp. 237–313). Academic Press.

    Chapter  Google Scholar 

  • Bergström, Z. M., Williams, D. G., Bhula, M., & Sharma, D. (2016). Unintentional and intentional recognition rely on dissociable neurocognitive mechanisms. Journal of Cognitive Neuroscience, 28(11), 1838–1848.

    Article  PubMed  Google Scholar 

  • Bindemann, M., Burton, A. M., Hooge, I. T. C., Jenkins, R., & De Haan, E. H. F. (2005). Faces retain attention. Psychonomic Bulletin & Review, 12(6), 1048–1053.

    Article  Google Scholar 

  • Biss, R. K., Campbell, K. L., & Hasher, L. (2013). Interference from previous distraction disrupts older adults’ memory. The Journals of Gerontology: Series B, 68(4), 558–561.

    Article  Google Scholar 

  • Blondé, P., Girardeau, J.-C., Sperduti, M., & Piolino, P. (2022). A wandering mind is a forgetful mind: A systematic review on the influence of mind wandering on episodic memory encoding. Neuroscience & Biobehavioral Reviews, 132, 774–792.

    Article  Google Scholar 

  • Campbell, K. L., Grady, C. L., Ng, C., & Hasher, L. (2012). Age differences in the frontoparietal cognitive control network: Implications for distractibility. Neuropsychologia, 50(9), 2212–2223.

    Article  PubMed  PubMed Central  Google Scholar 

  • Campbell, K. L., & Hasher, L. (2018). Hyper-binding only apparent under fully implicit test conditions. Psychology and Aging, 33(1), 176.

    Article  PubMed  Google Scholar 

  • Campbell, K. L., Hasher, L., & Thomas, R. C. (2010). Hyper-Binding: A unique age effect. Psychological Science, 21(3), 399–405.

    Article  PubMed  Google Scholar 

  • Campbell, K. L., Trelle, A., & Hasher, L. (2014). Hyper-binding across time: Age differences in the effect of temporal proximity on paired-associate learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 293–299.

    PubMed  Google Scholar 

  • Carretié, L. (2014). Exogenous (automatic) attention to emotional stimuli: A review. Cognitive, Affective, & Behavioral Neuroscience, 14(4), 1228–1258.

    Article  Google Scholar 

  • Chun, M. M., & Turk-Browne, N. B. (2007). Interactions between attention and memory. Current Opinion in Neurobiology, 17(2), 177–184.

    Article  CAS  PubMed  Google Scholar 

  • Condon, D. M., & Revelle, W. (2014). The international cognitive ability resource: Development and initial validation of a public-domain measure. Intelligence, 43, 52–64.

    Article  Google Scholar 

  • Cowan, N., Elliott, E. M., Scott Saults, J., Morey, C. C., Mattox, S., Hismjatullina, A., & Conway, A. R. A. (2005). On the capacity of attention: Its estimation and its role in working memory and cognitive aptitudes. Cognitive Psychology, 51(1), 42–100.

    Article  PubMed  PubMed Central  Google Scholar 

  • Davis, E. E., Foy, E. A., Giovanello, K. S., & Campbell, K. L. (2021). Implicit associative memory remains intact with age and extends to target-distractor pairs. Aging, Neuropsychology, and Cognition, 28, 455–471.

    Article  Google Scholar 

  • de Fockert, J. W., Rees, G., Frith, C. D., & Lavie, N. (2001). The role of working memory in visual selective attention. Science, 291(5509), 1803–1806.

    Article  ADS  PubMed  Google Scholar 

  • Decker, A., Dubois, M., Duncan, K., & Finn, A. S. (2022). Pay attention and you might miss it: Greater learning during attentional lapses. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-022-02226-6

  • Dew, I. T. Z., & Giovanello, K. S. (2010). Differential age effects for implicit and explicit conceptual associative memory. Psychology and Aging, 25(4), 911–921.

    Article  PubMed  PubMed Central  Google Scholar 

  • Draheim, C., Mashburn, C. A., Martin, J. D., & Engle, R. W. (2019). Reaction time in differential and developmental research: A review and commentary on the problems and alternatives. Psychological Bulletin, 145(5), 508.

    Article  PubMed  Google Scholar 

  • Draheim, C., Tsukahara, J., Martin, J., Mashburn, C., & Engle, R. (2021). A toolbox approach to improving the measurement of attention control. Journal of Experimental Psychology: General, 150(2), 242–275.

    Article  PubMed  Google Scholar 

  • Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191.

    Article  PubMed  Google Scholar 

  • Faust, M. E., Balota, D. A., Spieler, D. H., & Ferraro, F. R. (1999). Individual differences in information-processing rate and amount: Implications for group differences in response latency. Psychological Bulletin, 125(6), 777–779.

    Article  CAS  PubMed  Google Scholar 

  • Fernandes, M. A., & Moscovitch, M. (2000). Divided attention and memory: Evidence of substantial interference effects at retrieval and encoding. Journal of Experimental Psychology: General, 129(2), 155.

    Article  CAS  PubMed  Google Scholar 

  • Friedman, N. P., Profile, S., Friedman, N. P., & Miyake, A. (2004). The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology, General, 101–135.

    Article  Google Scholar 

  • Gallant, S. N., Carvalho, M., Hansi, J., & Yang, L. (2020). The effect of emotional distraction on hyper-binding in young and older adults. Cognition and Emotion, 34(4), 839–847.

    Article  PubMed  Google Scholar 

  • Gazzaley, A., Cooney, J. W., Rissman, J., & D’Esposito, M. (2005). Top-down suppression deficit underlies working memory impairment in normal aging. Nature Neuroscience, 8(10), 1298–1300.

    Article  CAS  PubMed  Google Scholar 

  • Gerard, L., Zacks, R. T., Hasher, L., & Radvansky, G. A. (1991). Age deficits in retrieval: The fan effect. Journal of Gerontology: Psychological Sciences, 46(4), 131–136.

    Article  Google Scholar 

  • Gomes, C. A., & Mayes, A. (2020). Study–test congruence of response levels in item stimulus–response priming. Memory & Cognition, 48(5), 839–855.

    Article  Google Scholar 

  • Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension, and aging: A review and a new view. In G. H. Bower (Ed.), Psychology of Learning and Motivation (Vol. 22, pp. 193–225). Academic Press.

    Google Scholar 

  • Hasher, L., Zacks, R. T., & May, C. P. (1999). Inhibitory control, circadian arousal, and age. In D. Gopher & A. Koriat (Eds.), Attention and Performance. Cognitive Regulation of performance: Interaction of Theory and Application (Vol. 17, pp. 653–675). MIT Press.

    Chapter  Google Scholar 

  • Healey, M. K., Campbell, K. L., & Hasher, L. (2008). Chapter 22 Cognitive aging and increased distractibility: Costs and potential benefits. In W. S. Sossin, J.-C. Lacaille, V. F. Castellucci, & S. Belleville (Eds.), Progress in Brain Research (Vol. 169, pp. 353–363). Elsevier.

    Google Scholar 

  • Healey, M. K., Campbell, K. L., Hasher, L., & Ossher, L. (2010). Direct evidence for the role of inhibition in resolving interference in memory. Psychological Science, 21(10), 1464–1470.

    Article  PubMed  Google Scholar 

  • Healey, M. K., Hasher, L., & Campbell, K. L. (2013). The role of suppression in resolving interference: Evidence for an age-related deficit. Psychology and Aging, 28(3), 721–728.

    Article  PubMed  Google Scholar 

  • Healey, M. K., Ngo, K. W. J., & Hasher, L. (2014). Below-baseline suppression of competitors during interference resolution by younger but not older adults. Psychological Science, 25(1), 145–151.

    Article  PubMed  Google Scholar 

  • Hovhannisyan, M., Clarke, A., Geib, B. R., Cicchinelli, R., Monge, Z., Worth, T., Szymanski, A., Cabeza, R., & Davis, S. W. (2021). The visual and semantic features that predict object memory: Concept property norms for 1,000 object images. Memory & Cognition, 49(4), 712–731.

    Article  Google Scholar 

  • James, T., Strunk, J., Arndt, J., & Duarte, A. (2016). Age-related deficits in selective attention during encoding increase demands on episodic reconstruction during context retrieval: An ERP study. Neuropsychologia, 86, 66–79.

    Article  PubMed  PubMed Central  Google Scholar 

  • Langton, S. R. H., Law, A. S., Burton, A. M., & Schweinberger, S. R. (2008). Attention capture by faces. Cognition, 107(1), 330–342.

    Article  PubMed  Google Scholar 

  • Lavie, N. (2005). Distracted and confused?: Selective attention under load. Trends in Cognitive Sciences, 9(2), 75–82.

    Article  PubMed  Google Scholar 

  • Logan, G. D., & Etherton, J. L. (1994). What is learned during automatization? The role of attention in constructing an instance. Journal of Experimental Psychology Learning Memory and Cognition, 20(5), 1022–1050.

    Article  Google Scholar 

  • Lustig, C., Hasher, L., & Zacks, R. T. (2007). Inhibitory deficit theory: Recent developments in a “new view.” In D. S. Gorfein & C. M. MacLeod (Eds.), Inhibition in cognition. (pp. 145–162). American Psychological Association. https://doi.org/10.1037/11587-008

  • Martin, J. D., Tsukahara, J. S., Draheim, C., Shipstead, Z., Mashburn, C. A., Vogel, E. K., & Engle, R. W. (2021). The visual arrays task: Visual storage capacity or attention control? Journal of Experimental Psychology: General, 150(12), 2525–2551.

    Article  PubMed  Google Scholar 

  • May, C. P., Hasher, L., & Healey, K. (2023). For Whom (and When) the Time Bell Tolls: Chronotypes and the Synchrony Effect. Perspectives on Psychological Science, 17456916231178553. https://doi.org/10.1177/17456916231178553

  • McKone, E., & Slee, J. A. (1997). Explicit contamination in “implicit” memory for new associations. Memory & Cognition, 25(3), 352–366.

    Article  CAS  Google Scholar 

  • Moscovitch, M. (1992). Memory and working-with-memory: A component process model based on modules and central systems. Journal of Cognitive Neuroscience, 4(3), 257–267.

    Article  CAS  PubMed  Google Scholar 

  • Ngo, K. W. J., Amer, T., Healey, M. K., Hasher, L., & Alain, C. (2021). Electrophysiological signature of suppression of competitors during interference resolution. Brain Research, 1767, 147564. https://doi.org/10.1016/j.brainres.2021.147564

    Article  CAS  PubMed  Google Scholar 

  • Noonan, M. P., Adamian, N., Pike, A., Printzlau, F., Crittenden, B. M., & Stokes, M. G. (2016). Distinct mechanisms for distractor suppression and target facilitation. The Journal of Neuroscience, 36(6), 1797–1807.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Powell, P. S., Strunk, J., James, T., Polyn, S. M., & Duarte, A. (2018). Decoding selective attention to context memory: An aging study. NeuroImage, 181, 95–107.

    Article  PubMed  Google Scholar 

  • Shipley, W. C. (1946). Institute of Living Scale. Western Psychological Services

  • Shipstead, Z., Harrison, T. L., & Engle, R. W. (2015). Working memory capacity and the scope and control of attention. Attention, Perception, & Psychophysics, 77(6), 1863–1880.

    Article  Google Scholar 

  • Tozios, C. J. I., & Fukuda, K. (2020). Indirect, but not direct, down-regulation of visual long-term memory encoding through strategic biasing of attentional allocation. Journal of Experimental Psychology: General, 149(7), 1294–1310.

    Article  PubMed  Google Scholar 

  • Tsukahara, J. S. (2022). englelab: An R package for processing complex-span and attention control tasks (1.1.0) [Zenodo]. https://doi.org/10.5281/zenodo.6987145

  • Tulving, E., & Schacter, D. L. (1990). Priming and human memory systems. Science, 247(4940), 301–306.

    Article  ADS  CAS  PubMed  Google Scholar 

  • Uncapher, M. R., & Rugg, M. D. (2005). Effects of divided attention on fMRI correlates of memory encoding. Journal of Cognitive Neuroscience, 17(12), 1923–1935.

    Article  PubMed  Google Scholar 

  • Wais, P. E., Rubens, M. T., Boccanfuso, J., & Gazzaley, A. (2010). Neural mechanisms underlying the impact of visual distraction on retrieval of long-term memory. Journal of Neuroscience, 30(25), 8541–8550.

    Article  CAS  PubMed  Google Scholar 

  • Ward, E. V., de Mornay Davies, P., & Politimou, N. (2015). Greater priming for previously distracting information in young than older adults when suppression is ruled out. Aging, Neuropsychology, and Cognition, 22(6), 712–730.

    Article  Google Scholar 

  • Weeks, J. C., Biss, R. K., Murphy, K. J., & Hasher, L. (2016). Face–name learning in older adults: A benefit of hyper-binding. Psychonomic Bulletin & Review, 23(5), 1559–1565.

    Article  Google Scholar 

  • Weeks, J. C., & Hasher, L. (2017). Divided attention reduces resistance to distraction at encoding but not retrieval. Psychonomic Bulletin & Review, 24(4), 1268–1273.

    Article  Google Scholar 

  • Weeks, J. C., & Hasher, L. (2018). Older adults encode more, not less: Evidence for age-related attentional broadening. Aging, Neuropsychology, and Cognition, 25(4), 576–587.

    Article  Google Scholar 

  • Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686

  • Williams, C. C., Henderson, J. M., & Zacks, F. (2005). Incidental visual memory for targets and distractors in visual search. Perception & Psychophysics, 67(5), 816–827.

    Article  Google Scholar 

  • Yang, L., Kandasamy, K., & Hasher, L. (2022). Inhibition and creativity in aging: Does distractibility enhance creativity? Annual Review of Developmental Psychology, 4(1), 353–375.

    Article  Google Scholar 

Download references

Open practices statement

The datasets generated during the current study are available via the Open Science Framework (OSF) at: https://osf.io/678nh/?view_only=354cb066ec8442fb84a32e0c22e15e37. Scripts used to analyze data are available at the same repository. The implicit associative memory task programmed in our lab is available from the corresponding author upon request. This experiment was not pre-registered.

Funding

This work was supported by the Canadian Institutes of Health Research (Grant PJT 180591 to Karen L. Campbell), the Natural Sciences and Engineering Research Council of Canada (Grant RGPIN-2017-03804 to Karen L. Campbell and a CGS-D to Emily E. Davis), and the Canada Research Chairs program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Emily E. Davis.

Ethics declarations

Conflicts of interest

Not applicable.

Ethics approval

All components of this research project were carried out were approved by the Office of Research Ethics at Brock University (REB 16-306-CAMPBELL).

Consent to participate/Publish

Informed consent was obtained from all individual participants included in the study. All participants included in the final sample consented to their anonymized data being released online for other researchers to access.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 27 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Davis, E.E., Tehrani, E.K. & Campbell, K.L. Some young adults hyper-bind too: Attentional control relates to individual differences in hyper-binding. Psychon Bull Rev (2024). https://doi.org/10.3758/s13423-024-02464-w

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.3758/s13423-024-02464-w

Keywords

Navigation