{"doi":"10.1002/hbm.20571","title":"Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography","abstract":"<jats:title>Abstract</jats:title><jats:p>Although magnetoencephalography (MEG) and electroencephalography (EEG) have been available for decades, their relative merits are still debated. We examined regional differences in signal‐to‐noise‐ratios (SNRs) of cortical sources in MEG and EEG. Data from four subjects were used to simulate focal and extended sources located on the cortical surface reconstructed from high‐resolution magnetic resonance images. The SNR maps for MEG and EEG were found to be complementary. The SNR of deep sources was larger in EEG than in MEG, whereas the opposite was typically the case for superficial sources. Overall, the SNR maps were more uniform for EEG than for MEG. When using a noise model based on uniformly distributed random sources on the cortex, the SNR in MEG was found to be underestimated, compared with the maps obtained with noise estimated from actual recorded MEG and EEG data. With extended sources, the total area of cortex in which the SNR was higher in EEG than in MEG was larger than with focal sources. Clinically, SNR maps in a patient explained differential sensitivity of MEG and EEG in detecting epileptic activity. Our results emphasize the benefits of recording MEG and EEG simultaneously. Hum Brain Mapp 2009. © 2008 Wiley‐Liss, Inc.</jats:p>","journal":"Human Brain Mapping","year":2009,"id":29713,"datarank":10.405902607223798,"base_score":5.641907070938114,"endowment":5.641907070938114,"self_citation_contribution":0.8462860606407172,"citation_network_contribution":9.559616546583081,"self_endowment_contribution":0.8462860606407172,"citer_contribution":9.559616546583081,"corpus_percentile":null,"corpus_rank":null,"citation_count":281,"citer_count":200,"citers_with_citation_signal":200,"citers_with_endowment":200,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":163219,"name":"Seppo P. Ahlfors","orcid":null,"position":1,"is_corresponding":false},{"id":163220,"name":"Matti S. Hämäläinen","orcid":null,"position":2,"is_corresponding":false},{"id":163221,"name":"Dahlia Sharon","orcid":null,"position":3,"is_corresponding":false},{"id":163222,"name":"Mamiko Ishitobi","orcid":null,"position":4,"is_corresponding":false},{"id":163223,"name":"Lucia M. Vaina","orcid":null,"position":5,"is_corresponding":false},{"id":163224,"name":"Steven M. Stufflebeam","orcid":null,"position":6,"is_corresponding":false},{"id":163218,"name":"Daniel M. Goldenholz","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":5.641907070938114,"endowment":5.641907070938114,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18465745","pmcid":"PMC2882168","openalex_id":"https://openalex.org/W2063347383","authors":[],"funders":[{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS064100","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS044623","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS037462","title":null},{"funder_name":"NCRR NIH HHS","grant_id":"P41RR14074","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R56 NS037462","title":null}],"total_grants":5,"fwci":3.8144,"citation_percentile":0.93514784,"influential_citations":14,"citation_trend":[{"year":2012,"count":12},{"year":2013,"count":21},{"year":2014,"count":17},{"year":2015,"count":14},{"year":2016,"count":12},{"year":2017,"count":10},{"year":2018,"count":18},{"year":2019,"count":20},{"year":2020,"count":20},{"year":2021,"count":20},{"year":2022,"count":21},{"year":2023,"count":22},{"year":2024,"count":21},{"year":2025,"count":16},{"year":2026,"count":12}],"oa_status":"green","license":"http://onlinelibrary.wiley.com/termsAndConditions#vor","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2882168","host_type":"repository"},{"url":"https://europepmc.org/articles/pmc2882168?pdf=render","host_type":"GREEN"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2882168","host_type":"repository"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhbm.20571","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.20571","host_type":"publisher"},{"url":"https://doi.org/10.1002/hbm.20571","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/18465745","host_type":"repository"}],"fields_of_study":["EEG and Brain-Computer Interfaces","Functional Brain Connectivity Studies","Neural dynamics and brain function","Physics","Medicine","Action Potentials","Adult","Brain Mapping","Cerebral Cortex","Electric Stimulation","Electroencephalography","Evoked Potentials","Female","Hamartoma","Humans","Hypothalamus","Magnetoencephalography","Male","Models, Neurological","Noise","Signal Processing, Computer-Assisted","Young Adult"],"mesh_terms":["Action Potentials","Adult","Brain Mapping","Cerebral Cortex","Electric Stimulation","Electroencephalography","Evoked Potentials","Female","Hamartoma","Humans","Hypothalamus","Male","Models, Neurological","Noise","Signal Processing, Computer-Assisted","Magnetoencephalography","Young Adult"],"keywords":["Magnetoencephalography","Electroencephalography","EEG-fMRI","Noise (video)","Signal-to-noise ratio (imaging)","SIGNAL (programming language)","Brain activity and meditation","Brain mapping","Psychology","Sensitivity (control systems)","Cortex (anatomy)","Pattern recognition (psychology)","Audiology","Neuroscience","Artificial intelligence","Computer science","Physics","Medicine","Optics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-09T00:32:33.665481Z","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,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}