The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMononen, Tommi
dc.contributor.authorKujala, Jan
dc.contributor.authorLiljeström, Mia
dc.contributor.authorLeppäaho, Eemeli
dc.contributor.authorKaski, Samuel
dc.contributor.authorSalmelin, Riitta
dc.contributor.departmentDepartment of Computer Science
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineering
dc.contributor.departmentProbabilistic Machine Learning
dc.contributor.departmentComputer Science Professors
dc.date.accessioned2022-12-07T07:21:51Z
dc.date.available2022-12-07T07:21:51Z
dc.date.issued2022-11-03
dc.descriptionFunding Information: This work was financially supported by the Academy of Finland (Finnish Center of Excellence in Computational Inference Research COIN and grants #292334, #294238 to SK; #255349, #315553 to RS; #257576 to JK; #286405 funding for TM), the Sigrid Jusélius Foundation (grant to RS), the Finnish Cultural Foundation (grant to ML), the Swedish Cultural Foundation in Finland (grant to ML), the Maud Kuistila Memorial Foundation (grant to ML), and Aalto Brain Center. Publisher Copyright: Copyright © 2022 Mononen, Kujala, Liljeström, Leppäaho, Kaski and Salmelin.
dc.description.abstractDifferent neuroimaging methods can yield different views of task-dependent neural engagement. Studies examining the relationship between electromagnetic and hemodynamic measures have revealed correlated patterns across brain regions but the role of the applied stimulation or experimental tasks in these correlation patterns is still poorly understood. Here, we evaluated the across-tasks variability of MEG-fMRI relationship using data recorded during three distinct naming tasks (naming objects and actions from action images, and objects from object images), from the same set of participants. Our results demonstrate that the MEG-fMRI correlation pattern varies according to the performed task, and that this variability shows distinct spectral profiles across brain regions. Notably, analysis of the MEG data alone did not reveal modulations across the examined tasks in the time-frequency windows emerging from the MEG-fMRI correlation analysis. Our results suggest that the electromagnetic-hemodynamic correlation could serve as a more sensitive proxy for task-dependent neural engagement in cognitive tasks than isolated within-modality measures.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.extent1-16
dc.format.mimetypeapplication/pdf
dc.identifier.citationMononen , T , Kujala , J , Liljeström , M , Leppäaho , E , Kaski , S & Salmelin , R 2022 , ' The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study ' , Frontiers in Neuroscience , vol. 16 , 1019572 , pp. 1-16 . https://doi.org/10.3389/fnins.2022.1019572en
dc.identifier.doi10.3389/fnins.2022.1019572
dc.identifier.issn1662-4548
dc.identifier.otherPURE UUID: 5ea5edf5-d738-40c5-9b27-223fbb4c26ca
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/5ea5edf5-d738-40c5-9b27-223fbb4c26ca
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85142148763&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/93765084/The_relationship_between_electrophysiological_and_hemodynamic_measures_of_neural_activity_varies_across_picture_naming_tasks.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118034
dc.identifier.urnURN:NBN:fi:aalto-202212076779
dc.language.isoenen
dc.publisherFRONTIERS MEDIA SA
dc.relation.ispartofseriesFrontiers in Neuroscienceen
dc.relation.ispartofseriesVolume 16en
dc.rightsopenAccessen
dc.subject.keywordclustering
dc.subject.keywordcorrelation patterns
dc.subject.keyworddata fusion
dc.subject.keywordfMRI
dc.subject.keywordMEG
dc.subject.keywordmultimodal data
dc.subject.keywordpicture naming
dc.titleThe relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging studyen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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