{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/consistency-of-regions-of-interest-as-nodes","title":"Consistency of Regions of Interest as nodes of functional brain networks measured by fMRI","arxiv_id":"1704.07635","date":"2017-04-25","proceeding":null,"authors":[],"abstract":"The functional network approach, where fMRI BOLD time series are mapped to\nnetworks depicting functional relationships between brain areas, has opened new\ninsights into the function of the human brain. In this approach, the choice of\nnetwork nodes is of crucial importance. One option is to consider fMRI voxels\nas nodes. This results in a large number of nodes, making network analysis and\ninterpretation of results challenging. A common alternative is to use\npre-defined clusters of anatomically close voxels, Regions of Interest (ROIs).\nThis approach assumes that voxels within ROIs are functionally similar. Because\nthese two approaches result in different network structures, it is crucial to\nunderstand what happens to network connectivity when moving from the voxel\nlevel to the ROI level. We show that the consistency of ROIs, defined as the\nmean Pearson correlation coefficient between the time series of their voxels,\nvaries widely in resting-state experimental data. Therefore the assumption of\nsimilar voxel dynamics within each ROI does not generally hold. Further, the\ntime series of low-consistency ROIs may be highly correlated, resulting in\nspurious links in ROI-level networks. Based on these results, we recommend that\naveraging BOLD signals over anatomically defined ROIs should be carefully\nconsidered.","url_abs":"http://arxiv.org/abs/1704.07635v1","url_pdf":"http://arxiv.org/pdf/1704.07635v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"consistency-of-regions-of-interest-as-nodes","repo_url":"https://github.com/onerva-korhonen/ROI_consistency","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}