Consistency of Regions of Interest as nodes of fMRI functional brain networks

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKorhonen, Onervaen_US
dc.contributor.authorSaarimäki, Heinien_US
dc.contributor.authorGlerean, Enricoen_US
dc.contributor.authorSams, Mikkoen_US
dc.contributor.authorSaramäki, Jarien_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorProfessorship Saramäki J.en
dc.date.accessioned2017-11-21T13:36:28Z
dc.date.available2017-11-21T13:36:28Z
dc.date.issued2017en_US
dc.description.abstractThe functional network approach, where fMRI BOLD time series are mapped to networks depicting functional relationships between brain areas, has opened new insights into the function of the human brain. In this approach, the choice of network nodes is of crucial importance. One option is to consider fMRI voxels as nodes. This results in a large number of nodes, making network analysis and interpretation of results challenging. A common alternative is to use predefined clusters of anatomically close voxels, Regions of Interest (ROIs). This approach assumes that voxels within ROIs are functionally similar. Because these two approaches result in different network structures, it is crucial to understand what happens to network connectivity when moving from the voxel level to the ROI level. We show that the consistency of ROIs, defined as the mean Pearson correlation coefficient between the time series of their voxels, varies widely in resting-state experimental data. Therefore the assumption of similar voxel dynamics within each ROI does not generally hold. Further, the time series of low-consistency ROIs may be highly correlated, resulting in spurious links in ROI-level networks. Based on these results, we recommend that averaging BOLD signals over anatomically defined ROIs should be carefully considered.en
dc.description.versionPeer revieweden
dc.format.extent254-274
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKorhonen, O, Saarimäki, H, Glerean, E, Sams, M & Saramäki, J 2017, ' Consistency of Regions of Interest as nodes of fMRI functional brain networks ', Network Neuroscience, vol. 1, no. 3, pp. 254-274 . https://doi.org/10.1162/NETN_a_00013en
dc.identifier.doi10.1162/NETN_a_00013en_US
dc.identifier.issn2472-1751
dc.identifier.otherPURE UUID: 6621e2f5-1abf-43ae-96a7-e3a7d46a87dden_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/6621e2f5-1abf-43ae-96a7-e3a7d46a87dden_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/16067750/netn_a_00013.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/28801
dc.identifier.urnURN:NBN:fi:aalto-201711217622
dc.language.isoenen
dc.relation.ispartofseriesNetwork Neuroscienceen
dc.relation.ispartofseriesVolume 1, issue 3en
dc.rightsopenAccessen
dc.subject.keywordfunctional magnetic resonance imagingen_US
dc.subject.keywordfunctional brain networksen_US
dc.subject.keywordnode definitionen_US
dc.subject.keywordRegion of Interesten_US
dc.subject.keywordanatomical atlasen_US
dc.subject.keywordbrain parcellationen_US
dc.titleConsistency of Regions of Interest as nodes of fMRI functional brain networksen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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