Alpha-band desynchronization reflects memory-specific processes during visual change detection.
EEG
alpha oscillations
beta oscillations
individual differences
visual working memory
Journal
Psychophysiology
ISSN: 1540-5958
Titre abrégé: Psychophysiology
Pays: United States
ID NLM: 0142657
Informations de publication
Date de publication:
11 2019
11 2019
Historique:
received:
20
02
2019
revised:
29
05
2019
accepted:
28
06
2019
pubmed:
19
7
2019
medline:
4
8
2020
entrez:
19
7
2019
Statut:
ppublish
Résumé
Recent work investigating physiological mechanisms of working memory (WM) has revealed that modulation of alpha and beta frequency bands within the EEG plays a key role in WM storage. However, the nature of that role is unclear. In the present study, we examined event-related desynchronization of alpha and beta (α/β-ERD) elicited by visual tasks with and without a memory component to measure the impact of a WM demand on this electrophysiological marker. We recorded EEG from 60 healthy participants while they completed three variants on a typical change detection task: one in which participants passively viewed the sample array, passive (WM-); one in which participants viewed and attended the sample array in search of a target color but did not memorize the colors, active (WM-); and one in which participants encoded, attended to, and memorized the sample array, active (WM+). Replicating previous findings, we found that active (WM+) elicited robust α/β-ERD in frontal and posterior electrode clusters and that α-ERD was significantly associated with WM capacity. By contrast, α/β-ERD was significantly smaller in the passive (WM-) and active (WM-) tasks, which did not consistently differ from one another. Furthermore, no such relationship was observed between WM capacity and desynchronization in the passive (WM-) or active (WM-) tasks. Taken together, these results suggest that α-ERD during memory formation reflects a memory-specific process such as consolidation or maintenance, rather than serving a generalized role in perceptual gating or engagement of attention.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13442Informations de copyright
© 2019 Society for Psychophysiological Research.
Références
Astrand, E. (2018). A continuous time-resolved measure decoded from EEG oscillatory activity predicts working memory task performance. Journal of Neural Engineering, 15(3), 036021-12. https://doi.org/10.1088/1741-2552/aaae73
Banerjee, S., Snyder, A. C., Molholm, S., & Foxe, J. J. (2011). Oscillatory alpha-band mechanisms and the deployment of spatial attention to anticipated auditory and visual target locations: Supramodal or sensory-specific control mechanisms? Journal of Neuroscience, 31(27), 9923-9932. https://doi.org/10.1523/JNEUROSCI.4660-10.2011
Bashivan, P., Bidelman, G. M., & Yeasin, M. (2014). Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. European Journal of Neuroscience, 40(12), 3774-3784. https://doi.org/10.1111/ejn.12749
Bonnefond, M., & Jensen, O. (2012). Alpha oscillations serve to protect working memory maintenance against anticipated distracters. Current Biology, 22(20), 1969-1974. https://doi.org/10.1016/j.cub.2012.08.029
Chen, Y. G., Chen, X., Kuang, C. W., & Huang, X. T. (2015). Neural oscillatory correlates of duration maintenance in working memory. Neuroscience, 290(C), 389-397. https://doi.org/10.1016/j.neuroscience.2015.01.036
Cowan, N., Elliott, E. M., Saults, J. S., 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
Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience, 134(1), 9-21. https://doi.org/10.1016/j.jneumeth.2003.10.009
Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. A. (1999). Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. Journal of Experimental Psychology General, 128(3), 309-331. https://doi.org/10.1037/0096-3445.128.3.309
Erickson, M. A., Albrecht, M. A., Robinson, B., Luck, S. J., & Gold, J. M. (2017). Impaired suppression of delay-period alpha and beta is associated with impaired working memory in schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(3), 272-279. https://doi.org/10.1016/j.bpsc.2016.09.003
Foster, J. J., Sutterer, D. W., Serences, J. T., Vogel, E. K., & Awh, E. (2016). The topography of alpha-band activity tracks the content of spatial working memory. Journal of Neurophysiology, 115(1), 168-177. https://doi.org/10.1152/jn.00860.2015
Fukuda, K., Mance, I., & Vogel, E. K. (2015). α Power modulation and event-related slow wave provide dissociable correlates of visual working memory. Journal of Neuroscience, 35(41), 14009-14016. https://doi.org/10.1523/JNEUROSCI.5003-14.2015
Fukuda, K., Vogel, E., Mayr, U., & Awh, E. (2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic Bulletin & Review, 17(5), 673-679. https://doi.org/10.3758/17.5.673
Fukuda, K., & Woodman, G. F. (2017). Visual working memory buffers information retrieved from visual long-term memory. Proceedings of the National Academy of Sciences, 114(20), 5306-5311. https://doi.org/10.1073/pnas.1617874114
Gomar, J. J., Valls, E., Radua, J., Mareca, C., Tristany, J., del Olmo, F., … The Cognitive Rehabilitation Study Group. (2015). A multisite, randomized controlled clinical trial of computerized cognitive remediation therapy for schizophrenia. Schizophrenia Bulletin, 41(6), 1387-1396. https://doi.org/10.1093/schbul/sbv059
Handel, 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
Hanslmayr, S., Staudigl, T., & Fellner, M.-C. (2012). Oscillatory power decreases and long-term memory: The information via desynchronization hypothesis. Frontiers in Human Neuroscience, 6, 74-12. https://doi.org/10.3389/fnhum.2012.00074
Ichihara-Takeda, S., Yazawa, S., Murahara, T., Toyoshima, T., Shinozaki, J., Ishiguro, M., … Nagamine, T. (2015). Modulation of alpha activity in the parieto-occipital area by distractors during a visuospatial working memory task: A magnetoencephalographic study. Journal of Cognitive Neuroscience, 27(3), 453-463. https://doi.org/10.1162/jocn_a_00718
Janssens, C., De Loof, E., Boehler, C. N., Pourtois, G., & Verguts, T. (2018). Occipital alpha power reveals fast attentional inhibition of incongruent distractors. Psychophysiology, 55(3), e13011. https://doi.org/10.1111/psyp.13011
Jensen, O., Gips, B., Bergmann, T. O., & Bonnefond, M. (2014). Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing. Trends in Neurosciences, 37(7), 357-369. https://doi.org/10.1016/j.tins.2014.04.001
Jensen, O., & Mazaheri, A. (2010). Shaping functional architecture by oscillatory alpha activity: Gating by inhibition. Frontiers in Human Neuroscience, 4, 186-188. https://doi.org/10.3389/fnhum.2010.00186
Lenartowicz, A., Mazaheri, A., Jensen, O., & Loo, S. K. (2018). Aberrant modulation of brain oscillatory activity and attentional impairment in attention-deficit/hyperactivity disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(1), 19-29. https://doi.org/10.1016/j.bpsc.2017.09.009
Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8(4), 213-214. https://doi.org/10.3389/fnhum.2014.00213
Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279-281. https://doi.org/10.1038/36846
Manza, P., Hau, C. L. V., & Leung, H.-C. (2014). Alpha power gates relevant information during working memory updating. Journal of Neuroscience, 34(17), 5998-6002. https://doi.org/10.1523/JNEUROSCI.4641-13.2014
Pavlov, Y. G., & Kotchoubey, B. (2017). EEG correlates of working memory performance in females. BMC Neuroscience, 18(1), 1-14. https://doi.org/10.1186/s12868-017-0344-5
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, 112-116. https://doi.org/10.1016/j.biopsycho.2018.03.009
Roijendijk, L., Farquhar, J., van Gerven, M., Jensen, O., & Gielen, S. (2013). Exploring the impact of target eccentricity and task difficulty on covert visual spatial attention and its implications for brain computer interfacing. PLOS One, 8(12), e80489. https://doi.org/10.1371/journal.pone.0080489
Rouder, J. N., Morey, R. D., Cowan, N., Zwilling, C. E., Morey, C. C., & Pratte, M. S. (2008). An assessment of fixed-capacity models of visual working memory. Proceedings of the National Academy of Sciences, 105(16), 5975-5979. https://doi.org/10.1073/pnas.0711295105
Sauseng, P., Klimesch, W., Heise, K. F., Gruber, W. R., Holz, E., Karim, A. A., … Hummel, F. C. (2009). Brain oscillatory substrates of visual short-term memory capacity. Current Biology, 19(21), 1846-1852. https://doi.org/10.1016/j.cub.2009.08.062
van Dijk, H., van der Werf, J., Mazaheri, A., Medendorp, W. P., & Jensen, O. (2010). Modulations in oscillatory activity with amplitude asymmetry can produce cognitively relevant event-related responses. Proceedings of the National Academy of Sciences, 107(2), 900-905. https://doi.org/10.1073/pnas.0908821107
Vogel, E. K., Woodman, G. F., & Luck, S. J. (2006). The time course of consolidation in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 32(6), 1436-1451. https://doi.org/10.1037/0096-1523.32.6.1436
Wechsler, D. (2011). WASI-II: Wechsler abbreviated scale of intelligence (2nd ed.). San Antonio, TX: Psychological Corporation.
Zammit, N., Falzon, O., Camilleri, K., & Muscat, R. (2018). Working memory alpha-beta band oscillatory signatures in adolescents and young adults. European Journal of Neuroscience, 25, 2527-2536. https://doi.org/10.1111/ejn.13897
Zumer, J. M., Scheeringa, R., Schoffelen, J.-M., Norris, D. G., & Jensen, O. (2014). Occipital alpha activity during stimulus processing gates the information flow to object-selective cortex. PLOS Biology, 12(10), e1001965-13. https://doi.org/10.1371/journal.pbio.1001965