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dc.contributor.authorHsu, Yi-Fang
dc.contributor.authorHämäläinen, Jarmo A.
dc.date.accessioned2022-08-18T06:35:08Z
dc.date.available2022-08-18T06:35:08Z
dc.date.issued2022
dc.identifier.citationHsu, Y.-F., & Hämäläinen, J. A. (2022). Load-dependent alpha suppression is related to working memory capacity for numbers. <i>Brain Research</i>, <i>1791</i>, Article 147994. <a href="https://doi.org/10.1016/j.brainres.2022.147994" target="_blank">https://doi.org/10.1016/j.brainres.2022.147994</a>
dc.identifier.otherCONVID_148823729
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82677
dc.description.abstractAlpha suppression is proposed to reflect a surge in cortical excitability to enhance stimulus processing in working memory. The attenuated state of alpha might reflect the prioritisation of behaviourally relevant information, making it a proxy for working memory functioning. Despite the growing interest in utilising the advancement of brain-based measures to evaluate individuals’ cognitive processes, there was a lack of consistent evidence on the relationship between alpha suppression and working memory performance. To investigate whether interindividual differences in alpha suppression might be related to variability in working memory capacity, we recorded participants’ electroencephalography (EEG) while they performed an arithmetic task of either low or high working memory load. Participants were required to calculate either the product of digits (i.e., low-load condition) or the difference between the product of digits (i.e., high-load condition). We found alpha suppression at parietal regions, which became more prominent as working memory load increased. The pattern was present in approximately 80% of the participants. Importantly, the more the alpha suppressed as working memory load increased, the larger the drops in behavioural performance and the lower the Digit Span score. That is, alpha suppression was more prominent in participants of poor working memory capacity. Our findings suggest that alpha activity, subject to interindividual differences in sensitivity, could serve as a brain-based measure of an individual’s working memory functioning.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesBrain Research
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherneural oscillations
dc.subject.otheralpha
dc.subject.otherelectroencephalography (EEG)
dc.titleLoad-dependent alpha suppression is related to working memory capacity for numbers
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202208184218
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0006-8993
dc.relation.volume1791
dc.type.versionacceptedVersion
dc.rights.copyright© 2022 Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.subject.ysotyömuisti
dc.subject.ysoEEG
dc.subject.ysomuisti (kognitio)
dc.subject.ysokognitiiviset prosessit
dc.subject.ysoaivotutkimus
dc.subject.ysosuorituskyky
dc.subject.ysoaivokuori
dc.subject.ysomuistaminen
dc.subject.ysokuormitus
dc.subject.ysoaivot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p13896
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
jyx.subject.urihttp://www.yso.fi/onto/yso/p2607
jyx.subject.urihttp://www.yso.fi/onto/yso/p5283
jyx.subject.urihttp://www.yso.fi/onto/yso/p23705
jyx.subject.urihttp://www.yso.fi/onto/yso/p14041
jyx.subject.urihttp://www.yso.fi/onto/yso/p7039
jyx.subject.urihttp://www.yso.fi/onto/yso/p20846
jyx.subject.urihttp://www.yso.fi/onto/yso/p17226
jyx.subject.urihttp://www.yso.fi/onto/yso/p7040
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.brainres.2022.147994
jyx.fundinginformationThis work was supported by Taiwan Ministry of Science and Technology (grant number MOST110-2636-H-003-001 and MOST111-2636-H-003-001) to Y-FH.
dc.type.okmA1


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