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dc.contributor.authorKujala, Jan
dc.contributor.authorCiumas, Carolina
dc.contributor.authorJung, Julien
dc.contributor.authorBouvard, Sandrine
dc.contributor.authorLecaignard, Françoise
dc.contributor.authorLothe, Amélie
dc.contributor.authorBouet, Romain
dc.contributor.authorRyvlin, Philippe
dc.contributor.authorJerbi, Karim
dc.date.accessioned2024-01-17T12:33:03Z
dc.date.available2024-01-17T12:33:03Z
dc.date.issued2024
dc.identifier.citationKujala, J., Ciumas, C., Jung, J., Bouvard, S., Lecaignard, F., Lothe, A., Bouet, R., Ryvlin, P., & Jerbi, K. (2024). GABAergic inhibition shapes behavior and neural dynamics in human visual working memory. <i>Cerebral Cortex</i>, <i>34</i>(2), Article bhad522. <a href="https://doi.org/10.1093/cercor/bhad522" target="_blank">https://doi.org/10.1093/cercor/bhad522</a>
dc.identifier.otherCONVID_197910548
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/92855
dc.description.abstractNeuronal inhibition, primarily mediated by GABAergic neurotransmission, is crucial for brain development and healthy cognition. Gamma-aminobutyric acid concentration levels in sensory areas have been shown to correlate with hemodynamic and oscillatory neuronal responses. How these measures relate to one another during working memory, a higher-order cognitive process, is still poorly understood. We address this gap by collecting magnetoencephalography, functional magnetic resonance imaging, and Flumazenil positron emission tomography data within the same subject cohort using an n-back working-memory paradigm. By probing the relationship between GABAA receptor distribution, neural oscillations, and Blood Oxygen Level Dependent (BOLD) modulations, we found that GABAA receptor density in higher-order cortical areas predicted the reaction times on the working-memory task and correlated positively with the peak frequency of gamma power modulations and negatively with BOLD amplitude. These findings support and extend theories linking gamma oscillations and hemodynamic responses to gamma-aminobutyric acid neurotransmission and to the excitation-inhibition balance and cognitive performance in humans. Considering the small sample size of the study, future studies should test whether these findings also hold for other, larger cohorts as well as to examine in detail how the GABAergic system and neural fluctuations jointly support working-memory task performance.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofseriesCerebral Cortex
dc.rightsCC BY-NC 4.0
dc.subject.otherfunctional magnetic resonance imaging
dc.subject.othermagnetoencephalography
dc.subject.othern-back
dc.subject.otherneurotransmission
dc.subject.otherpositron emission tomography
dc.titleGABAergic inhibition shapes behavior and neural dynamics in human visual working memory
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202401171354
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1047-3211
dc.relation.numberinseries2
dc.relation.volume34
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 the Authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysopositroniemissiotomografia
dc.subject.ysotoiminnallinen magneettikuvaus
dc.subject.ysoMEG
dc.subject.ysosynapsit
dc.subject.ysonäkömuisti
dc.subject.ysotyömuisti
dc.subject.ysoinhibiittorit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p19539
jyx.subject.urihttp://www.yso.fi/onto/yso/p24211
jyx.subject.urihttp://www.yso.fi/onto/yso/p3329
jyx.subject.urihttp://www.yso.fi/onto/yso/p28072
jyx.subject.urihttp://www.yso.fi/onto/yso/p27025
jyx.subject.urihttp://www.yso.fi/onto/yso/p13896
jyx.subject.urihttp://www.yso.fi/onto/yso/p24325
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.1093/cercor/bhad522
jyx.fundinginformationThis work was supported by Canada Research Chairs Program (950-232368 to K.J.) and a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (2021-03426 to K.J.), and a Strategic Research Clusters Program from the Fonds de recherche du Quebec—Nature et technologies (FRQNT) (2023- RS6-309472 to K.J).
dc.type.okmA1


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