Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Liljeström, Mia
dc.contributor.author Stevenson, Claire
dc.contributor.author Kujala, Jan
dc.contributor.author Salmelin, Riitta
dc.date.accessioned 2017-05-11T09:14:43Z
dc.date.available 2017-05-11T09:14:43Z
dc.date.issued 2015-10
dc.identifier.citation Liljeström , M , Stevenson , C , Kujala , J & Salmelin , R 2015 , ' Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity ' NEUROIMAGE , vol 120 , pp. 75-87 . DOI: 10.1016/j.neuroimage.2015.07.017 en
dc.identifier.issn 1053-8119
dc.identifier.issn 1095-9572
dc.identifier.other PURE UUID: eec12e77-f662-42c9-9047-ab55299c101b
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/task-and-stimulusrelated-cortical-networks-in-language-production-exploring-similarity-of-meg-and-fmriderived-functional-connectivity(eec12e77-f662-42c9-9047-ab55299c101b).html
dc.identifier.other PURE LINK: http://dx.doi.org/10.1016/j.neuroimage.2015.07.017
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/11702038/1_s2.0_S1053811915006266_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/25954
dc.description.abstract Large-scale networks support the dynamic integration of information across multiple functionally specialized brain regions. Network analyses of haemodynamic modulations have revealed such functional brain networks that show high consistency across subjects and different cognitive states. However, the relationship between the slowly fluctuating haemodynamic responses and the underlying neural mechanisms is not well understood. Resting state studies have revealed spatial similarities in the estimated network hub locations derived using haemodynamic and electrophysiological recordings, suggesting a direct neural basis for the widely described functional magnetic resonance imaging (fMRI) resting state networks. To truly understand the nature of the relationship between electrophysiology and haemodynamics it is important to move away from a task absent state and to establish if such networks are differentially modulated by cognitive processing. The present parallel fMRI and magnetoencephalography (MEG) experiment investigated the structural similarities between haemodynamic networks and their electrophysiological counterparts when either the stimulus or the task was varied. Connectivity patterns underlying action vs. object naming (task-driven modulations), and action vs. object images (stimulus-driven modulations) were identified in a data driven all-to-all connectivity analysis, with cross spectral coherence adopted as a metric of functional connectivity in both MEG and fMRI. We observed a striking difference in functional connectivity between conditions. The spectral profiles of the frequency-specific network similarity differed significantly for the task-driven vs. stimulus-driven connectivity modulations. While the greatest similarity between MEG and fMRI derived networks was observed at neural frequencies below 30 Hz, haemodynamic network interactions could not be attributed to a single frequency band. Instead, the entire spectral profile should be taken into account when assessing the correspondence between MEGand fMRI networks. Task-driven network hubs, evident in both MEG and fMRI, were found in cortical regions previously associated with language processing, including the posterior temporal cortex and the inferior frontal cortex. Network hubs related to stimulus-driven modulations, however, were found in regions related to object recognition and visual processing, including the lateral occipital cortex. Overall, the results depict a shift in network structure when moving from a task dependent modulation to a stimulus dependent modulation, revealing a reorganization of large-scale functional connectivity during task performance. en
dc.format.extent 13
dc.format.extent 75-87
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries NEUROIMAGE en
dc.relation.ispartofseries Volume 120 en
dc.rights openAccess en
dc.title Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.contributor.department O.V.Lounasmaa-laboratorio
dc.subject.keyword MEG
dc.subject.keyword fMRI
dc.subject.keyword Functional connectivity
dc.subject.keyword Connectome
dc.subject.keyword Task networks
dc.subject.keyword Picture naming
dc.identifier.urn URN:NBN:fi:aalto-201705114329
dc.identifier.doi 10.1016/j.neuroimage.2015.07.017
dc.type.version publishedVersion

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