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An EEG study to understand semantic and episodic memory retrieval in creative processes

Published online by Cambridge University Press:  16 May 2024

Yuan Yin  and
Peter Childs
Yuan Yin*
Affiliation:
Imperial College London, United Kingdom
Peter Childs
Affiliation:
Imperial College London, United Kingdom
*
[email protected]

Abstract

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This study aimed to identify and compare the EEG activities associated with semantic and episodic memory retrieval during creative processes. Episodic and semantic memory induction studies were conducted and EEG was used to collect data. The results showed that (i) Episodic and semantic memory retrieval are related to the frontal lobe area; (ii) Semantic memory retrieval is evoked more swiftly compared with episodic memory retrieval (ii) Prior to episodic memory retrieval, semantic memory retrieval is evoked first.

Keywords

EEGdesign creativitydesign cognitionsemantic memoryepisodic memory
Type
Human Behaviour and Design Creativity
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1147 - 1156
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

References

Aben, B., Stapert, S. and Blokland, A. (2012). "About the distinction between working memory and short-term memory", Frontiers in psychology, Vol. 3, pp. 301. https://doi.org/10.3389/fpsyg.2012.00301CrossRefGoogle ScholarPubMed
Addis, D. R., Wong, A. T., & Schacter, D. L. (2007), "Remembering the past and imagining the future: common and distinct neural substrates during event construction and elaboration", Neuropsychologia, Vol. 45, No. 7, pp. 1363-1377. https://doi.org/10.1016/j.neuropsychologia.2006.10.016CrossRefGoogle Scholar
Baragli, P., Padalino, B., and Telatin, A. (2015), "The role of associative and non-associative learning in the training of horses and implications for the welfare (a review)", Annali dell'Istituto superiore di sanita, Vol. 51, pp. 40-51. https://doi.org/10.4415/ANN_15_01_08Google ScholarPubMed
Beaty, R. E., Chen, Q., Christensen, A. P., Kenett, Y. N., Silvia, P. J., Benedek, M. and Schacter, D. L. (2020), "Default network contributions to episodic and semantic processing during divergent creative thinking: A representational similarity analysis", NeuroImage, Vol. 209, pp. 116499. https://doi.org/10.1016/j.neuroimage.2019.116499CrossRefGoogle ScholarPubMed
Beaty, R. E., Christensen, A. P., Benedek, M., Silvia, P. J. and Schacter, D. L. (2017), "Creative constraints: Brain activity and network dynamics underlying semantic interference during idea production", Neuroimage, Vol. 148, pp. 189-196. https://doi.org/10.1016/j.neuroimage.2017.01.012CrossRefGoogle ScholarPubMed
Benedek, M. and Fink, A. (2019), "Toward a neurocognitive framework of creative cognition: The role of memory, attention, and cognitive control", Current Opinion in Behavioral Sciences, Vol. 27, pp. 116-122.CrossRefGoogle Scholar
Benedek, M., Jurisch, J., Koschutnig, K., Fink, A. and Beaty, R. E. (2020), "Elements of creative thought: Investigating the cognitive and neural correlates of association and bi-association processes", Neuroimage, Vol. 210, pp.116586.CrossRefGoogle ScholarPubMed
Binder, J. R., & Desai, R. H. (2011), "The neurobiology of semantic memory", Trends in cognitive sciences, Vol. 15, No. 11, pp.527-536.CrossRefGoogle Scholar
Cash, P., Isaksson, O., Maier, A., & Summers, J. (2022), "Sampling in design research: Eight key considerations", Design studies, Vol.78, pp.101077.CrossRefGoogle Scholar
Childs, P., Han, J., Chen, L., Jiang, P., Wang, P., Park, D., Yin, Y., Dieckmann, E., and Vilanova, I. (2022), "The creativity diamond—A framework to aid creativity", Journal of Intelligence, Vol. 10, No. 4, pp. 73.CrossRefGoogle ScholarPubMed
Di Benedetto, S. (2007), "Guiding somatic responses within performative structures", The sense in performance, pp. 124-134. https://doi.org/10.3390/jintelligence10040073CrossRefGoogle Scholar
Dinar, M., Shah, J. J., Cagan, J., Leifer, L., Linsey, J., Smith, S. M. and Hernandez, N. V. (2015), "Empirical studies of designer thinking: past, present, and future", Journal of Mechanical Design, Vol.2, pp. 137. https://doi.org/10.1115/1.4029025Google Scholar
Epstein, R., Schmidt, S. M. and Warfel, R. (2008), "Measuring and training creativity competencies: Validation of a new test", Creativity Research Journal, Vol.20, No. 1, pp. 7-12. https://doi.org/10.1080/10400410701839876CrossRefGoogle Scholar
Epstein, R. (2000), The Big Book of Creativity Games: Quick, Fun Acitivities for Jumpstarting Innovation, McGraw Hill Professional, New York.Google Scholar
Fink, A. and Benedek, M. (2014), "EEG alpha power and creative ideation", Neuroscience & Biobehavioral Reviews, Vol. 44, pp. 111-123.CrossRefGoogle ScholarPubMed
Goldschmidt, G. (1995), "Visual displays for design: Imagery, analogy and databases of visual images", Visual databases in architecture, pp. 53-74.Google Scholar
Green, A. E. (2016), "Creativity, within reason: Semantic distance and dynamic state creativity in relational thinking and reasoning", Current Directions in Psychological Science, Vol. 25, No. 1, pp. 28-35. https://doi.org/10.1177/0963721415618485CrossRefGoogle Scholar
Gubbels, J., Segers, E. and Verhoeven, L. (2017), "Predicting the development of analytical and creative abilities in upper elementary grades", Creativity Research Journal, Vol. 29, No. 4, pp. 433-441. https://doi.org/10.1080/10400419.2017.1376548CrossRefGoogle Scholar
Hay, L, Cash, P, McKilligan, S. (2020), "The future of design cognition analysis", Design Science, Vol.6, pp.e20. https://dx.doi.org/10.1017/dsj.2020.20CrossRefGoogle Scholar
Huang, F., Fan, J. and Luo, J. (2015), "The neural basis of novelty and appropriateness in processing of creative chunk decomposition", Neuroimage, Vol. 113, pp.122-132. https://doi.org/10.1016/j.neuroimage.2015.03.030CrossRefGoogle ScholarPubMed
Irak, M., Soylu, C. & Turan, G. (2020), "Comparing electrophysiological correlates of judgment of learning and feeling of knowing during face-name recognition. Cogn. Neuropsychol. Vol. 36, No. 7–8, pp. 336–357. https://doi.org/10.1080/02643294.2019.1707650CrossRefGoogle Scholar
Kenett, Y. N. and Faust, M. (2019), "A semantic network cartography of the creative mind", Trends in cognitive sciences, Vol. 23, No. 4, pp. 271-274. https://doi.org/10.1016/j.tics.2019.01.007CrossRefGoogle ScholarPubMed
Klimesch, W., Doppelmayr, M., Schimke, H. and Ripper, B. (1997), "Theta synchronization and alpha desynchronization in a memory task", Psychophysiology, Vol. 34, No. 2, pp. 169-176. https://doi.org/10.1111/j.1469-8986.1997.tb02128.xCrossRefGoogle Scholar
Li, S., Becattini, N., & Cascini, G. (2021), "Correlating design performance to EEG activation: Early evidence from experimental data", Proceedings of the Design Society, Vol. 1, pp. 771-780. https://doi.org/10.1017/pds.2021.77CrossRefGoogle Scholar
Madore, K. P., Szpunar, K. K., Addis, D. R. and Schacter, D. L. (2016), "Episodic specificity induction impacts activity in a core brain network during construction of imagined future experiences", Proceedings of the National Academy of Sciences, Vol. 113, No. 38, pp. 10696-10701.CrossRefGoogle Scholar
Madore, K. P., Jing, H. G., & Schacter, D. L. (2019), "Selective effects of specificity inductions on episodic details: evidence for an event construction account", Memory, Vol. 27, No. 2, pp.250-260. https://doi.org/10.1080/09658211.2018.1502322CrossRefGoogle Scholar
Mao, X., Galil, O., Parrish, Q. and Sen, C. (2020), "Evidence of cognitive chunking in freehand sketching during design ideation", Design studies, Vol. 67, pp. 1-26. https://doi.org/10.1016/j.destud.2019.11.009CrossRefGoogle Scholar
Mecklinger, A., & Kamp, S. M. (2023), "Observing memory encoding while it unfolds: Functional interpretation and current debates regarding ERP subsequent memory effects", Neuroscience & Biobehavioral Reviews, pp. 105347. https://doi.org/10.1016/j.neubiorev.2023.105347CrossRefGoogle ScholarPubMed
McKay, M. T., Fischler, I. and Dunn, B. R. (2003), "Cognitive style and recall of text: An EEG analysis", Learning and individual differences, Vol. 14, No. 1, pp. 1-21. https://doi.org/10.1016/j.lindif.2003.03.001CrossRefGoogle Scholar
Nguyen, T. A., & Zeng, Y. (2010, January), "Analysis of design activities using EEG signals", In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 44137, pp. 277-286. https://doi.org/10.1115/detc2010-28477Google Scholar
Norris, D. (2017), "Short-term memory and long-term memory are still different", Psychological bulletin, Vol. 143, No. 9, pp. 992. https://doi.org/10.1037/bul0000108CrossRefGoogle ScholarPubMed
Palmer, T. (2020), "Human Creativity and Consciousness: Unintended Consequences of the Brain's Extraordinary Energy Efficiency?", Entropy, Vol. 22, No. 3, pp. 281. https://doi.org/10.3390/e22030281CrossRefGoogle ScholarPubMed
Paynter, C. A., Reder, L. M. & Kieffaber, P. D. (2009), "Knowing we know before we know: ERP correlates of initial feeling-of-knowing", Neuropsychologia. Vol. 47, No. 3, pp. 796–803.CrossRefGoogle Scholar
Purcell, A. T. and Gero, J. S. (1998), "Drawings and the design process: A review of protocol studies in design and other disciplines and related research in cognitive psychology", Design studies, Vol. 19, No. 4, pp. 389-430. https://doi.org/10.1016/s0142-694x(98)00015-5CrossRefGoogle Scholar
Schack, B., Vath, N., Petsche, H., Geissler, H. G. and Möller, E. (2002), "Phase-coupling of theta–gamma EEG rhythms during short-term memory processing", International Journal of Psychophysiology, Vol. 44, No. 2, pp. 143-163. https://doi.org/10.1016/s0167-8760(01)00199-4CrossRefGoogle ScholarPubMed
Schwab, D., Benedek, M., Papousek, I., Weiss, E. M. and Fink, A. (2014), "The time-course of EEG alpha power changes in creative ideation", Frontiers in human neuroscience, Vol. 8, pp. 310. https://doi.org/10.3389/fnhum.2014.00310CrossRefGoogle ScholarPubMed
Stevens, C. E. Jr and Zabelina, , L, D.. (2020), "Classifying creativity: Applying machine learning techniques to divergent thinking EEG data", Neuroimage, Vol. 219, pp. 116990. https://doi.org/10.31234/osf.io/guxajCrossRefGoogle ScholarPubMed
Trammell, J. P., MacRae, P. G., Davis, G., Bergstedt, D. and Anderson, A. E. (2017), "The relationship of cognitive performance and the theta-alpha power ratio is age-dependent: an EEG study of short term memory and reasoning during task and resting-state in healthy young and old adults", Frontiers in aging neuroscience, Vol. 9, pp. 364. https://doi.org/10.3389/fnagi.2017.00364CrossRefGoogle ScholarPubMed
Undorf, M., Amaefule, C. O. & Kamp, S. M. (2020), "The neurocognitive basis of metamemory: Using the N400 to study the contribution of fluency to judgments of learning", Neurobiol. Learn. Mem. Vol.169, pp.107176. https://doi.org/10.1016/j.nlm.2020.107176CrossRefGoogle Scholar
Wu, L., Knoblich, G., Wei, G. and Luo, J. (2009), "How perceptual processes help to generate new meaning: an EEG study of chunk decomposition in Chinese characters", Brain research, Vol. 1296, pp. 104-112. https://doi.org/10.1016/j.brainres.2009.08.023CrossRefGoogle ScholarPubMed
Yin, Y., Wang, P. and Childs, P. (2022), "Understanding creativity process through electroencephalography measurement on creativity-related cognitive factors", Frontiers in Neuroscience, Vol. 16, pp. 951272. https://doi.org/10.3389/fnins.2022.951272CrossRefGoogle Scholar
Yin, Y., Zuo, H., & Childs, P. R. (2023), "An EEG-based method to decode cognitive factors in creative processes", AI EDAM, Vol. 37, pp. e12. https://doi.org/10.1017/s0890060423000057Google Scholar
Zarjam, P., Epps, J. and Chen, F. (2011), "Spectral EEG features for evaluating cognitive load", 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/iembs.2011.6090954CrossRefGoogle Scholar