How to refocus attention on working memory representations following interruptions-Evidence from frontal theta and posterior alpha oscillations.
EEG
cognitive control
interruptions
neural oscillations
visual attention
working memory
Journal
The European journal of neuroscience
ISSN: 1460-9568
Titre abrégé: Eur J Neurosci
Pays: France
ID NLM: 8918110
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
revised:
08
10
2021
received:
14
06
2021
accepted:
19
10
2021
pubmed:
24
10
2021
medline:
6
1
2022
entrez:
23
10
2021
Statut:
ppublish
Résumé
Interruptions lead to a deterioration of primary task performance. Applied research usually describes a delay in primary task resumption as an essential component of this performance deficit. Here, we investigate this approach using electrophysiological correlates of the focusing of attention within working memory, a process that is fundamental to switching between different tasks. A lateralized working memory task was frequently interrupted by either a high- or low-demanding arithmetic task and a subsequent retrospective cue indicated the working memory item required for later report. The detrimental effect of interruptions on primary task performance was most pronounced for high-demanding interruptions. After retro-cue presentation, fronto-central theta power (4-7 Hz) was lowest following high-demanding interruptions and posterior alpha power (8-14 Hz) was less suppressed in the two interruption conditions. These effects might be related to a deficit in attentional control processes following the retrospective cue. Furthermore, we introduce the suppression of posterior alpha power contralateral to the remembered primary task stimuli during the interruption phase as a temporal marker for primary task resumption. Especially for cognitively demanding interruption tasks, this effect seems to overlap in time with the processing of the interruption, which should contribute to the primary task performance deficit.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
7820-7838Informations de copyright
© 2021 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Références
Addas, S., & Pinsonneault, A. (2018). E-mail interruptions and individual performance: Is there a silver lining? MIS Quarterly: Management Information Systems, 42(2), 381-405. https://doi.org/10.25300/MISQ/2018/13157
Altmann, E. M., & Trafton, J. G. (2002). Memory for goals: An activation-based model. Cognitive Science, 26(1), 39-83. https://doi.org/10.1207/s15516709cog2601_2
Baddeley, A. D. (1996). Exploring the central executive. The Quarterly Journal of Experimental Psychology Section a, 49(1), 5-28. https://doi.org/10.1080/713755608
Baddeley, A. D. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63(1), 1-29. https://doi.org/10.1146/annurev-psych-120710-100422
Bae, G.-Y., & Luck, S. J. (2018). What happens to an individual visual working memory representation when it is interrupted? British Journal of Psychology, 110, 1-20. https://doi.org/10.1111/bjop.12339
Bailey, B. P., & Konstan, J. A. (2006). On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. Computers in Human Behavior, 22(4), 685-708. https://doi.org/10.1016/j.chb.2005.12.009
Banich, M. T., Mackiewicz Seghete, K. L., Depue, B. E., & Burgess, G. C. (2015). Multiple modes of clearing one's mind of current thoughts: Overlapping and distinct neural systems. Neuropsychologia, 69, 105-117. https://doi.org/10.1016/j.neuropsychologia.2015.01.039
Baron, R. S. (1986). Distraction-conflict theory: Progress and problems. Advances in Experimental Social Psychology, 19(C), 1-40. https://doi.org/10.1016/S0065-2601(08)60211-7
Barrouillet, P., Gavens, N., Vergauwe, E., Gaillard, V., & Camos, V. (2009). Working memory span development: A time-based resource-sharing model account. Developmental Psychology, 45(2), 477-490. https://doi.org/10.1037/a0014615
Bays, P. M., Catalao, R. F. G., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9(10), 7. https://doi.org/10.1167/9.10.7
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B, 57(1), 289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Bonnefond, M., & Jensen, O. (2013). The role of gamma and alpha oscillations for blocking out distraction. Communicative and Integrative Biology, 6(1), 20-22. https://doi.org/10.4161/cib.22702
Cades, D. M., Werner, N., Boehm-Davis, D. A., Trafton, J. G., & Monk, C. A. (2008). Dealing with interruptions can be complex, but does interruption complexity matter: A mental resources approach to quantifying disruptions. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 52(4), 398-402. https://doi.org/10.1177/154193120805200442
Cavanagh, J. F., & Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18(8), 414-421. https://doi.org/10.1016/j.tics.2014.04.012
Cavanagh, J. F., & Shackman, A. J. (2015). Frontal midline theta reflects anxiety and cognitive control: Meta-analytic evidence. Journal of Physiology Paris, 109(1-3), 3-15. https://doi.org/10.1016/j.jphysparis.2014.04.003
Cavanagh, J. F., Zambrano-Vazquez, L., & Allen, J. J. B. (2012). Theta lingua franca: A common mid-frontal substrate for action monitoring processes. Psychophysiology, 49(2), 220-238. https://doi.org/10.1111/j.1469-8986.2011.01293.x
Clapp, W. C., Rubens, M. T., & Gazzaley, A. (2010). Mechanisms of working memory disruption by external interference. Cerebral Cortex, 20(4), 859-872. https://doi.org/10.1093/cercor/bhp150
Couffe, C., & Michael, G. A. (2017). Failures due to interruptions or distractions: A review and a new framework. American Journal of Psychology, 130(2), 163-181. https://doi.org/10.5406/amerjpsyc.130.2.0163
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. https://doi.org/10.1016/j.cogpsych.2004.12.001
de Vries, I. E. J., Slagter, H. A., & Olivers, C. N. L. (2020). Oscillatory control over representational states in working memory. Trends in Cognitive Sciences, 24(2), 150-162. https://doi.org/10.1016/j.tics.2019.11.006
de Vries, I. E. J., Van Driel, J., Karacaoglu, M., & Olivers, C. N. L. (2018). Priority switches in visual working memory are supported by frontal delta and posterior alpha interactions. Cerebral Cortex, 28(11), 4090-4104. https://doi.org/10.1093/cercor/bhy223
Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9-21. https://doi.org/10.1016/j.jneumeth.2003.10.009
Erickson, M. A., Smith, D., Albrecht, M. A., & Silverstein, S. (2019). Alpha-band desynchronization reflects memory-specific processes during visual change detection. Psychophysiology, 56(11), e13442. https://doi.org/10.1111/psyp.13442
Eyrolle, H., & Cellier, J.-M. (2000). The effects of interruptions in work activity: Field and laboratory results. Applied Ergonomics, 31(5), 537-543. https://doi.org/10.1016/S0003-6870(00)00019-3
Feldmann-Wüstefeld, T., Vogel, E. K., & Awh, E. (2018). Contralateral delay activity indexes working memory storage, not the current focus of spatial attention. Journal of Cognitive Neuroscience, 30(8), 1185-1196. https://doi.org/10.1162/jocn_a_01271
Ferreira, C. S., Maraver, M. J., Hanslmayr, S., & Bajo, T. (2019). Theta oscillations show impaired interference detection in older adults during selective memory retrieval. Scientific Reports, 9(1), 1-11. https://doi.org/10.1038/s41598-019-46214-8
Gillie, T., & Broadbent, D. (1989). What makes interruptions disruptive? A study of length, similarity, and complexity. Psychological Research, 50(4), 243-250. https://doi.org/10.1007/BF00309260
Griffin, I. C., & Nobre, A. C. (2003). Orienting attention to locations in internal representations. Journal of Cognitive Neuroscience, 15(8), 1176-1194. https://doi.org/10.1162/089892903322598139
Hakim, N., Adam, K. C. S., Gunseli, E., Awh, E., & Vogel, E. K. (2019). Dissecting the neural focus of attention reveals distinct processes for spatial attention and object-based storage in visual working memory. Psychological Science, 30(4), 526-540. https://doi.org/10.1177/0956797619830384
Händel, B. F., Haarmeier, T., & Jensen, O. (2011). Alpha oscillations correlate with the successful inhibition of unattended stimuli. Journal of Cognitive Neuroscience, 23(9), 2494-2502. https://doi.org/10.1162/jocn.2010.21557
Hodgetts, H. M., & Jones, D. M. (2006). Interruption of the tower of London task: Support for a goal-activation approach. Journal of Experimental Psychology: General, 135(1), 103-115. https://doi.org/10.1037/0096-3445.135.1.103
Kiesel, A., Miller, J., Jolicœur, P., & Brisson, B. (2008). Measurement of ERP latency differences: A comparison of single-participant and jackknife-based scoring methods. Psychophysiology, 45(2), 250-274. https://doi.org/10.1111/j.1469-8986.2007.00618.x
Kim, H., Smolker, H. R., Smith, L. L., Banich, M. T., & Lewis-Peacock, J. A. (2020). Changes to information in working memory depend on distinct removal operations. Nature Communications, 11(1), 1-14. https://doi.org/10.1038/s41467-020-20085-4
Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences, 16(12), 606-617. https://doi.org/10.1016/j.tics.2012.10.007
Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: an open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 213. https://doi.org/10.3389/fnhum.2014.00213
Lück, M., Hünefeld, L., Brendscheidt, S., Bödefeld, M., & Hünefeld, A. (2018). Grundauswertung der BIBB/BAuA- Erwerbstätigenbefragung 2018. Vergleich zur Grundauswertung 2006 und 2012. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA). https://doi.org/10.21934/baua:bericht20190603
Makovski, T., & Pertzov, Y. (2015). Attention and memory protection: Interactions between retrospective attention cueing and interference. Quarterly Journal of Experimental Psychology, 68(9), 1735-1743. https://doi.org/10.1080/17470218.2015.1049623
Mishra, J., Zanto, T., Nilakantan, A., & Gazzaley, A. (2013). Comparable mechanisms of working memory interference by auditory and visual motion in youth and aging. Neuropsychologia, 51(10), 1896-1906. https://doi.org/10.1016/j.neuropsychologia.2013.06.011
Mognon, A., Jovicich, J., Bruzzone, L., & Buiatti, M. (2011). ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. Psychophysiology, 48(2), 229-240. https://doi.org/10.1111/j.1469-8986.2010.01061.x
Monk, C. A., Boehm-Davis, D. A., & Trafton, J. G. (2004). Recovering from interruptions: Implications for driver distraction research. Human Factors, 46(4), 650-663. https://doi.org/10.1518/hfes.46.4.650.56816
Monk, C. A., Trafton, J. G., & Boehm-Davis, D. A. (2008). The effect of interruption duration and demand on resuming suspended goals. Journal of Experimental Psychology: Applied, 14(4), 299-313. https://doi.org/10.1037/a0014402
Myers, N. E., Stokes, M. G., & Nobre, A. C. (2017). Prioritizing information during working memory: Beyond sustained internal attention. Trends in Cognitive Sciences, 21(6), 449-461. https://doi.org/10.1016/j.tics.2017.03.010
Myers, N. E., Walther, L., Wallis, G., Stokes, M. G., & Nobre, A. C. (2015). Temporal dynamics of attention during encoding versus maintenance of working memory: Complementary views from event-related potentials and alpha-band oscillations. Journal of Cognitive Neuroscience, 27(3), 492-508. https://doi.org/10.1162/jocn_a_00727
Nelissen, N., Stokes, M., Nobre, A. C., & Rushworth, M. F. S. (2013). Frontal and parietal cortical interactions with distributed visual representations during selective attention and action selection. Journal of Neuroscience, 33(42), 16443-16458. https://doi.org/10.1523/JNEUROSCI.2625-13.2013
Oberauer, K., & Lewandowsky, S. (2011). Modeling working memory: A computational implementation of the time-based resource-sharing theory. Psychonomic Bulletin and Review, 18(1), 10-45. https://doi.org/10.3758/s13423-010-0020-6
Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97-113. https://doi.org/10.1016/0028-3932(71)90067-4
Olivers, C. N. L., Peters, J., Houtkamp, R., & Roelfsema, P. R. (2011). Different states in visual working memory: When it guides attention and when it does not. Trends in Cognitive Sciences, 2002, 4-5. https://doi.org/10.1016/j.tics.2011.05.004
Pivik, R. T., Broughton, R. J., Coppola, R., Davidson, R. J., Fox, N., & Nuwer, M. R. (1993). Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. Psychophysiology, 30(6), 547-558. https://doi.org/10.1111/j.1469-8986.1993.tb02081.x
Poch, C., Campo, P., & Barnes, G. R. (2014). Modulation of alpha and gamma oscillations related to retrospectively orienting attention within working memory. European Journal of Neuroscience, 40(2), 2399-2405. https://doi.org/10.1111/ejn.12589
Poch, C., Capilla, A., Hinojosa, J. A., & Campo, P. (2017). Selection within working memory based on a color retro-cue modulates alpha oscillations. Neuropsychologia, 106(July), 133-137. https://doi.org/10.1016/j.neuropsychologia.2017.09.027
Poch, C., Valdivia, M., Capilla, A., Hinojosa, J. A., & Campo, P. (2018). Suppression of no-longer relevant information in working memory: An alpha-power related mechanism? Biological Psychology, 135(March), 112-116. https://doi.org/10.1016/j.biopsycho.2018.03.009
Riddle, J., Scimeca, J. M., Cellier, D., Dhanani, S., & D'Esposito, M. (2020). Causal evidence for a role of theta and alpha oscillations in the control of working memory. Current Biology, 30(9), 1748-1754. https://doi.org/10.1016/j.cub.2020.02.065
Rösner, M., Arnau, S., Skiba, I., Wascher, E., & Schneider, D. (2020). The spatial orienting of the focus of attention in working memory makes use of inhibition: Evidence by hemispheric asymmetries in posterior alpha oscillations. Neuropsychologia, 142(March), 107442. https://doi.org/10.1016/j.neuropsychologia.2020.107442
Roux, F., & Uhlhaas, P. J. (2014). Working memory and neural oscillations: Alpha-gamma versus theta-gamma codes for distinct WM information? Trends in Cognitive Sciences, 18(1), 16-25. https://doi.org/10.1016/j.tics.2013.10.010
Sauseng, P., Klimesch, W., Schabus, M., & Doppelmayr, M. (2005). Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. International Journal of Psychophysiology, 57(2), 97-103. https://doi.org/10.1016/j.ijpsycho.2005.03.018
Schneegans, S., & Bays, P. M. (2019). New perspectives on binding in visual working memory. British Journal of Psychology, 110(2), 207-244. https://doi.org/10.1111/bjop.12345
Schneider, D., Barth, A., & Wascher, E. (2017). On the contribution of motor planning to the retroactive cuing benefit in working memory: Evidence by mu and beta oscillatory activity in the EEG. NeuroImage, 162(April), 73-85. https://doi.org/10.1016/j.neuroimage.2017.08.057
Schneider, D., Göddertz, A., Haase, H., Hickey, C., & Wascher, E. (2019). Hemispheric asymmetries in EEG alpha oscillations indicate active inhibition during attentional orienting within working memory. Behavioural Brain Research, 359(July), 38-46. https://doi.org/10.1016/j.bbr.2018.10.020
Schneider, D., Herbst, S. K., Klatt, L. I., & Wöstmann, M. (2021). Target enhancement or distractor suppression? Functionally distinct alpha oscillations form the basis of attention. European Journal of Neuroscience, 1-10. https://doi.org/10.1111/ejn.15309
Schneider, D., Mertes, C., & Wascher, E. (2016). The time course of visuo-spatial working memory updating revealed by a retro-cuing paradigm. Scientific Reports, 6, 21442. https://doi.org/10.1038/srep21442
Seibold, V. C., & Rolke, B. (2014). Does temporal preparation speed up visual processing? Evidence from the N2pc. Psychophysiology, 51(6), 529-538. https://doi.org/10.1111/psyp.12196
Seibold, V. C., Stepper, M. Y., & Rolke, B. (2020). Temporal attention boosts perceptual effects of spatial attention and feature-based attention. Brain and Cognition, 142, 105570. https://doi.org/10.1016/j.bandc.2020.105570
Spitzer, B., Hanslmayr, S., Opitz, B., Mecklinger, A., & Bäuml, K. H. (2009). Oscillatory correlates of retrieval-induced forgetting in recognition memory. Journal of Cognitive Neuroscience, 21(5), 976-990. https://doi.org/10.1162/jocn.2009.21072
Thut, G., Nietzel, A., Brandt, S. A., & Pascual-Leone, A. (2006). α-Band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. Journal of Neuroscience, 26(37), 9494-9502. https://doi.org/10.1523/JNEUROSCI.0875-06.2006
Trafton, J. G., Altmann, E. M., Brock, D. P., & Mintz, F. E. (2003). Preparing to resume an interrupted task: Effects of prospective goal encoding and retrospective rehearsal. International Journal of Human Computer Studies, 58(5), 583-603. https://doi.org/10.1016/S1071-5819(03)00023-5
Trafton, J. G., Altmann, E. M., & Ratwani, R. M. (2011). A memory for goals model of sequence errors. Cognitive Systems Research, 12(2), 134-143. https://doi.org/10.1016/j.cogsys.2010.07.010
van Ede, F., Niklaus, M., & Nobre, A. C. (2017). Temporal expectations guide dynamic prioritization in visual working memory through attenuated α oscillations. The Journal of Neuroscience, 37(2), 437-445. https://doi.org/10.1523/JNEUROSCI.2272-16.2016
Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428(6984), 748-751. https://doi.org/10.1038/nature02447
Wallis, G., Stokes, M., Cousijn, H., Woolrich, M., & Nobre, A. C. (2015). Frontoparietal and cingulo-opercular networks play dissociable roles in control of working memory. Journal of Cognitive Neuroscience, 27(10), 2019-2034. https://doi.org/10.1162/jocn_a_00838
Wang, B., Theeuwes, J., & Olivers, C. N. L. (2018). When shorter delays lead to worse memories: Task disruption makes visual working memory temporarily vulnerable to test interference. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(5), 722-733. https://doi.org/10.1037/xlm0000468
Wolff, M. J., Jochim, J., Akyürek, E. G., & Stokes, M. G. (2017). Dynamic hidden states underlying working-memory-guided behavior. Nature Neuroscience, 20(6), 864-871. https://doi.org/10.1038/nn.4546
Worden, M. S., Foxe, J. J., Wang, N., & Simpson, G. V. (2000). Anticipatory biasing of visuospatial attention indexed by retinotopically specific alpha-band electroencephalography increases over occipital cortex. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 20(6), 1-6. https://doi.org/10.1523/JNEUROSCI.20-06-j0002.2000
Zickerick, B., Kobald, S. O., Thönes, S., Küper, K., Wascher, E., & Schneider, D. (2021). Don't stop me now: Hampered retrieval of action plans following interruptions. Psychophysiology, 58(2), 1-17. https://doi.org/10.1111/psyp.13725