{"id":"https://openalex.org/W2951489681","doi":"https://doi.org/10.1109/iww-bci.2019.8737307","title":"Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms?","display_name":"Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms?","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2951489681","doi":"https://doi.org/10.1109/iww-bci.2019.8737307","mag":"2951489681"},"language":"en","primary_location":{"id":"doi:10.1109/iww-bci.2019.8737307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2019.8737307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Winter Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.08939","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027724580","display_name":"Pamela K. Douglas","orcid":"https://orcid.org/0000-0002-3506-6857"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pamela K. Douglas","raw_affiliation_strings":["Computer Science, Modeling & Simulation, IST, UCF, David Gefen School of Medicine, UCLA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Modeling & Simulation, IST, UCF, David Gefen School of Medicine, UCLA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010948054","display_name":"David Douglas","orcid":"https://orcid.org/0000-0003-1021-534X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David B. Douglas","raw_affiliation_strings":["Nuclear Medicine & Molecular Imaging, Stanford Hospital, Palo Alto, CA"],"affiliations":[{"raw_affiliation_string":"Nuclear Medicine & Molecular Imaging, Stanford Hospital, Palo Alto, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027724580"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3712,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59209429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8852862119674683},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6221650242805481},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.6051568388938904},{"id":"https://openalex.org/keywords/eeg-fmri","display_name":"EEG-fMRI","score":0.5567968487739563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5407654047012329},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.49480384588241577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4632059335708618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4562678039073944},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.41936206817626953},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3307058811187744},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15289202332496643},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09344738721847534}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8852862119674683},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6221650242805481},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.6051568388938904},{"id":"https://openalex.org/C125990524","wikidata":"https://www.wikidata.org/wiki/Q5322921","display_name":"EEG-fMRI","level":3,"score":0.5567968487739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5407654047012329},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.49480384588241577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4632059335708618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4562678039073944},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41936206817626953},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3307058811187744},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15289202332496643},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09344738721847534},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iww-bci.2019.8737307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2019.8737307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Winter Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.08939","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.08939","pdf_url":"https://arxiv.org/pdf/2111.08939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.08939","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.08939","pdf_url":"https://arxiv.org/pdf/2111.08939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306080","display_name":"Foundation for the National Institutes of Health","ror":"https://ror.org/00k86s890"},{"id":"https://openalex.org/F4320306147","display_name":"Brain and Behavior Research Foundation","ror":"https://ror.org/03a63f080"},{"id":"https://openalex.org/F4320306153","display_name":"Brain Research Foundation","ror":"https://ror.org/0492gsr48"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W204773442","https://openalex.org/W826555121","https://openalex.org/W1003962816","https://openalex.org/W1969240989","https://openalex.org/W1974719406","https://openalex.org/W1985443968","https://openalex.org/W1985983039","https://openalex.org/W1992100527","https://openalex.org/W1998877105","https://openalex.org/W2002099137","https://openalex.org/W2002740781","https://openalex.org/W2007273173","https://openalex.org/W2008088150","https://openalex.org/W2013225603","https://openalex.org/W2021057584","https://openalex.org/W2022087325","https://openalex.org/W2024202336","https://openalex.org/W2036682006","https://openalex.org/W2041291259","https://openalex.org/W2042076346","https://openalex.org/W2044038854","https://openalex.org/W2046529900","https://openalex.org/W2049658101","https://openalex.org/W2051712503","https://openalex.org/W2052471278","https://openalex.org/W2060666586","https://openalex.org/W2062604673","https://openalex.org/W2064971633","https://openalex.org/W2068393346","https://openalex.org/W2070765152","https://openalex.org/W2082923816","https://openalex.org/W2087133542","https://openalex.org/W2089553401","https://openalex.org/W2095984111","https://openalex.org/W2096935768","https://openalex.org/W2101629643","https://openalex.org/W2104731571","https://openalex.org/W2105864773","https://openalex.org/W2115545080","https://openalex.org/W2117663940","https://openalex.org/W2120079537","https://openalex.org/W2120327449","https://openalex.org/W2120591709","https://openalex.org/W2121682721","https://openalex.org/W2122410839","https://openalex.org/W2127389037","https://openalex.org/W2133382750","https://openalex.org/W2139368301","https://openalex.org/W2144662207","https://openalex.org/W2152502378","https://openalex.org/W2155096749","https://openalex.org/W2164121465","https://openalex.org/W2171523413","https://openalex.org/W2203141004","https://openalex.org/W2266468563","https://openalex.org/W2276533724","https://openalex.org/W2414486637","https://openalex.org/W2766070454","https://openalex.org/W2887972576","https://openalex.org/W2950977886","https://openalex.org/W2952410712","https://openalex.org/W4244746866","https://openalex.org/W4250804559","https://openalex.org/W6662928169","https://openalex.org/W6688029112","https://openalex.org/W6753890896"],"related_works":["https://openalex.org/W410172207","https://openalex.org/W2045404030","https://openalex.org/W2125849636","https://openalex.org/W2087088957","https://openalex.org/W4302042481","https://openalex.org/W2335893660","https://openalex.org/W2043719218","https://openalex.org/W3136519575","https://openalex.org/W2086409382","https://openalex.org/W2977616198"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"has":[2],"been":[3],"a":[4,15,41,99,173,246],"core":[5],"tool":[6],"used":[7],"in":[8,11,36,54,76,188],"functional":[9,229],"neuroimaging":[10],"humans":[12],"for":[13,34,139,260],"nearly":[14],"hundred":[16],"years.":[17],"Because":[18],"it":[19,27],"is":[20],"inexpensive,":[21],"easy":[22],"to":[23,51,87,91,113,124,133,223,242],"implement,":[24],"and":[25,78,127,143,194,255],"noninvasive,":[26],"also":[28,212],"represents":[29],"an":[30],"excellent":[31],"candidate":[32],"modality":[33],"use":[35],"the":[37,55,64,68,88,107,114,140,148,160,168,189,218,235],"BCI":[38,84],"setting.":[39],"Nonetheless,":[40],"complete":[42],"understanding":[43,62],"of":[44,63,67,101,146,159,175,217],"how":[45],"EEG":[46,69,95,141,169,201,219,243],"measurements":[47,227,244],"(voltage":[48],"fluctuations)":[49],"relate":[50],"information":[52],"processing":[53,177],"brain":[56],"remains":[57],"somewhat":[58],"elusive.":[59],"A":[60],"deeper":[61],"neuroanatomical":[65],"underpinnings":[66],"signal":[70,170,220],"may":[71,82,171,204,211],"help":[72,213],"explain":[73],"inter-individual":[74],"variability":[75],"evoked":[77],"induced":[79],"potentials,":[80],"which":[81,215],"improve":[83,206],"therapies":[85],"targeted":[86],"individual.":[89],"According":[90],"classic":[92,251],"biophysical":[93],"models,":[94,254],"fluctuations":[96],"are":[97,137,144,221],"primarily":[98],"reflection":[100],"locally":[102],"synchronized":[103],"neuronal":[104],"oscillations":[105],"within":[106],"gray":[108],"matter":[109,135,186,239],"oriented":[110],"approximately":[111],"orthogonal":[112],"scalp.":[115,161],"In":[116],"contrast,":[117],"global":[118,180,195],"models":[119,165,203,210],"ignore":[120],"local":[121,176,193],"signals":[122],"due":[123,132],"dendritic":[125],"processing,":[126],"suggest":[128,166],"that":[129,167,237],"propagation":[130],"delays":[131],"white":[134,185,197,238],"architecture":[136],"responsible":[138],"signal,":[142],"capable":[145],"explaining":[147],"coherence":[149],"between":[150],"numerous":[151],"rhythms":[152],"(e.g.,":[153,196],"alpha)":[154],"at":[155],"spatially":[156,225],"distinct":[157],"areas":[158],"Recently,":[162],"combined":[163],"local-global":[164],"reflect":[172],"superposition":[174],"along":[178,184],"with":[179,226],"contributors":[181],"including":[182],"transduction":[183,253],"tracts":[187],"brain.":[190],"Incorporating":[191],"both":[192],"matter)":[198],"priors":[199],"into":[200],"source":[202,207,261],"therefore":[205],"estimates.":[208],"These":[209],"disentangle":[214],"aspects":[216],"predicted":[222],"colocalize":[224],"from":[228],"MRI":[230],"(fMRI).":[231],"Here,":[232],"we":[233],"explore":[234],"possibility":[236],"conductivity":[240],"contributes":[241],"via":[245],"generative":[247],"model":[248],"based":[249],"on":[250],"axonal":[252],"discuss":[256],"its":[257],"potential":[258],"implications":[259],"estimation.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
