{"doi":"10.1016/j.neuroimage.2017.05.012","title":"Concurrent white matter bundles and grey matter networks using independent component analysis","abstract":null,"journal":"NeuroImage","year":2018,"id":624628,"datarank":0.5983476069846413,"base_score":3.9889840465642745,"endowment":3.9889840465642745,"self_citation_contribution":0.5983476069846413,"citation_network_contribution":0.0,"self_endowment_contribution":0.5983476069846413,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":53,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":12948,"name":"Saad Jbabdi","orcid":null,"position":1,"is_corresponding":false},{"id":1614751,"name":"Jonathan O'Muircheartaigh","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Concurrent white matter bundles and grey matter networks using independent component analysis","abstract":"Developments in non-invasive diffusion MRI tractography techniques have permitted the investigation of both the anatomy of white matter pathways connecting grey matter regions and their structural integrity. In parallel, there has been an expansion in automated techniques aimed at parcellating grey matter into distinct regions based on functional imaging. Here we apply independent component analysis to whole-brain tractography data to automatically extract brain networks based on their associated white matter pathways. This method decomposes the tractography data into components that consist of paired grey matter 'nodes' and white matter 'edges', and automatically separates major white matter bundles, including known cortico-cortical and cortico-subcortical tracts. We show how this framework can be used to investigate individual variations in brain networks (in terms of both nodes and edges) as well as their associations with individual differences in behaviour and anatomy. Finally, we investigate correspondences between tractography-based brain components and several canonical resting-state networks derived from functional MRI.","is_dataset_classified":null,"base_score":3.9889840465642745,"endowment":3.9889840465642745,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28514668","pmcid":"PMC6318261","openalex_id":"https://openalex.org/W2613834872","authors":[],"funders":[{"funder_name":"Medical Research Council","grant_id":"MR/L009013/1","title":"Imaging the spatial organization of brain connections"},{"funder_name":"National Institutes of Health","grant_id":"3U54MH091657-03S1","title":"Mapping the Human Connectome: Structure, Function, and Heritability"},{"funder_name":"NIH Blueprint for Neuroscience Research","grant_id":"","title":null},{"funder_name":"Sackler Institute for Translational Neurodevelopment, King's College London","grant_id":"","title":null},{"funder_name":"McDonnell Center for Systems Neuroscience","grant_id":"","title":null}],"total_grants":5,"fwci":5.0311,"citation_percentile":0.95869775,"influential_citations":0,"citation_trend":[{"year":2017,"count":2},{"year":2018,"count":6},{"year":2019,"count":9},{"year":2020,"count":9},{"year":2021,"count":11},{"year":2022,"count":3},{"year":2023,"count":2},{"year":2024,"count":3},{"year":2025,"count":6},{"year":2026,"count":2}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://www.sciencedirect.com/science/article/pii/S1053811917304044/pdf","host_type":"journal"},{"url":"https://www.sciencedirect.com/science/article/pii/S1053811917304044/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1053811917304044?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1053811917304044?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.neuroimage.2017.05.012","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/28514668","host_type":"repository"},{"url":"https://kclpure.kcl.ac.uk/portal/en/publications/9f38ec4a-c28f-4ce3-b702-1d067e5fe97c","host_type":""},{"url":"http://europepmc.org/pmc/articles/PMC6318261","host_type":"repository"},{"url":"https://ora.ox.ac.uk/objects/uuid:c408c6f2-b875-4d17-af69-08cb62f191fa","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6318261","host_type":"repository"},{"url":"https://kclpure.kcl.ac.uk/ws/files/69169688/Concurrent_white_matter_bundles_O_MUIRCHEARTAIGH_14May2017_GREEN_AAM_CC_BY_NC_ND_.pdf","host_type":""},{"url":"https://europepmc.org/articles/PMC6318261","host_type":"Europe_PMC"},{"url":"http://dx.doi.org/10.1016/j.neuroimage.2017.05.012","host_type":""},{"url":"https://dx.doi.org/10.1016/j.neuroimage.2017.05.012","host_type":""},{"url":"https://www.scopus.com/pages/publications/85020230658","host_type":""},{"url":"https://doi.org/https://doi.org/10.1016/j.neuroimage.2017.05.012","host_type":""}],"fields_of_study":["Advanced Neuroimaging Techniques and Applications","Functional Brain Connectivity Studies","Blind Source Separation Techniques","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":["Adult","Female","Humans","Male","Nerve Net","Neural Pathways","Young Adult","Diffusion Tensor Imaging","White Matter","Gray Matter"],"keywords":["White matter","Tractography","Grey matter","Diffusion MRI","Neuroscience","Artificial intelligence","Pattern recognition (psychology)","Computer science","Component (thermodynamics)","Independent component analysis","Brain mapping","Psychology","Magnetic resonance imaging","Physics","Medicine","Radiology","Adult","Male","Article","004","Young Adult","Diffusion Tensor Imaging","616","Neural Pathways","Humans","Female","Gray Matter","Nerve Net"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T04:21:38.465827Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}