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

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Korhonen, Onerva
dc.contributor.author Saarimäki, Heini
dc.contributor.author Glerean, Enrico
dc.contributor.author Sams, Mikko
dc.contributor.author Saramäki, Jari
dc.date.accessioned 2017-11-21T13:36:28Z
dc.date.available 2017-11-21T13:36:28Z
dc.date.issued 2017
dc.identifier.citation Korhonen , 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 . DOI: 10.1162/NETN_a_00013 en
dc.identifier.issn 2472-1751
dc.identifier.other PURE UUID: 6621e2f5-1abf-43ae-96a7-e3a7d46a87dd
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/consistency-of-regions-of-interest-as-nodes-of-fmri-functional-brain-networks(6621e2f5-1abf-43ae-96a7-e3a7d46a87dd).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/16067750/netn_a_00013.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28801
dc.description.abstract The 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.format.extent 254-274
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Network Neuroscience en
dc.relation.ispartofseries Volume 1, issue 3 en
dc.rights openAccess en
dc.subject.other 3112 Neurosciences en
dc.subject.other 113 Computer and information sciences en
dc.title Consistency of Regions of Interest as nodes of fMRI functional brain networks 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 Department of Computer Science
dc.subject.keyword functional magnetic resonance imaging
dc.subject.keyword functional brain networks
dc.subject.keyword node definition
dc.subject.keyword Region of Interest
dc.subject.keyword anatomical atlas
dc.subject.keyword brain parcellation
dc.subject.keyword 3112 Neurosciences
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201711217622
dc.identifier.doi 10.1162/NETN_a_00013
dc.type.version publishedVersion


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