{"id":"https://openalex.org/W4387804508","doi":"https://doi.org/10.48550/arxiv.2310.11994","title":"Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing","display_name":"Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387804508","doi":"https://doi.org/10.48550/arxiv.2310.11994"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.11994","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11994","pdf_url":"https://arxiv.org/pdf/2310.11994","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.11994","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009920418","display_name":"Shiang Hu","orcid":"https://orcid.org/0000-0003-1670-7417"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hu, Shiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112901901","display_name":"Jie Ruan","orcid":"https://orcid.org/0009-0005-7015-3103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruan, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038276780","display_name":"Nicolas Langer","orcid":"https://orcid.org/0000-0002-6038-9471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langer, Nicolas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031924808","display_name":"Jorge Bosch\u2010Bayard","orcid":"https://orcid.org/0000-0001-7168-5551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bosch-Bayard, Jorge","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026466982","display_name":"Zhao Lv","orcid":"https://orcid.org/0000-0003-4530-4422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822593","display_name":"Dezhong Yao","orcid":"https://orcid.org/0000-0002-8042-879X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Dezhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005434308","display_name":"Pedro A. Vald\u00e9s\u2010Sosa","orcid":"https://orcid.org/0000-0001-5485-2661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valdes-Sosa, Pedro Antonio","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009920418"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9973999857902527,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7638069987297058},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.580201268196106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219513773918152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5151318311691284},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47484830021858215},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.42596501111984253},{"id":"https://openalex.org/keywords/multitaper","display_name":"Multitaper","score":0.4233493208885193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3758634924888611},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.31817227602005005},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.30034804344177246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27949997782707214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23104748129844666},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22192436456680298},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14558500051498413}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7638069987297058},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.580201268196106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219513773918152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5151318311691284},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47484830021858215},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.42596501111984253},{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.4233493208885193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3758634924888611},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.31817227602005005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.30034804344177246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27949997782707214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23104748129844666},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22192436456680298},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14558500051498413},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.11994","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11994","pdf_url":"https://arxiv.org/pdf/2310.11994","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.11994","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.11994","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.11994","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11994","pdf_url":"https://arxiv.org/pdf/2310.11994","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":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387804508.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2770264646","https://openalex.org/W2069675821","https://openalex.org/W1980736266","https://openalex.org/W2084410249","https://openalex.org/W3151479552","https://openalex.org/W2365710911","https://openalex.org/W2539609502","https://openalex.org/W2073932443","https://openalex.org/W2799368502","https://openalex.org/W2132158848"],"abstract_inverted_index":{"The":[0],"brain":[1],"projects":[2],"require":[3],"the":[4,12,23,30,42,48,56,61,90,100,106,114,123,130,144,149,152,174,184,189],"collection":[5],"of":[6,50,71,81,167,179,191],"massive":[7],"electrophysiological":[8],"data,":[9],"aiming":[10],"to":[11,66,94],"longitudinal,":[13],"sectional,":[14],"or":[15],"populational":[16],"neuroscience":[17],"studies.":[18],"Quality":[19],"metrics":[20,32],"automatically":[21],"label":[22],"data":[24],"after":[25],"centralized":[26],"preprocessing.":[27,141],"However,":[28],"although":[29],"waveforms-based":[31],"are":[33],"partially":[34],"useful,":[35],"they":[36],"may":[37,135],"be":[38,136],"unreliable":[39],"by":[40,98],"neglecting":[41],"spectral":[43],"profiles.":[44],"Here,":[45],"we":[46],"detected":[47],"phenomenon":[49,76,97],"parallel":[51,65],"log":[52,62],"spectra":[53],"(PaLOS)":[54],"that":[55,113],"scalp":[57],"EEG":[58,84,147,154,196],"power":[59],"in":[60,79,122,188],"scale":[63],"were":[64],"each":[67],"other":[68],"from":[69,85,139],"10%":[70],"2549":[72],"HBN":[73,150],"EEG.":[74,132],"This":[75],"was":[77,127],"reproduced":[78],"8%":[80],"412":[82],"PMDT":[83,153],"4":[86],"databases.":[87],"We":[88,111,182],"designed":[89],"PaLOS":[91,115,156],"index":[92],"(PaLOSi)":[93],"indicate":[95],"this":[96],"decomposing":[99],"cross-spectra":[101],"at":[102],"different":[103],"frequencies":[104],"into":[105],"common":[107],"principal":[108],"component":[109],"spaces.":[110],"found":[112],"biophysically":[116],"implied":[117],"a":[118],"prominently":[119],"dominant":[120],"dipole":[121],"source":[124],"space":[125],"which":[126,171],"implausible":[128],"for":[129,193],"resting":[131,195],"And":[133],"it":[134],"practically":[137],"resulted":[138],"excessive":[140],"Compared":[142],"with":[143,155],"1966":[145],"normative":[146],"cross-spectra,":[148],"and":[151,164],"presented":[157],"generally":[158],"much":[159],"higher":[160,165],"electrode":[161],"pairwise":[162],"coherences":[163],"similarity":[166],"coherence-based":[168],"network":[169],"patterns,":[170],"went":[172],"against":[173],"known":[175],"frequency":[176],"dependent":[177],"characteristic":[178],"coherence":[180],"networks.":[181],"suggest":[183],"PaLOSi":[185],"should":[186],"lay":[187],"range":[190],"0.4-0.7":[192],"large":[194],"quality":[197],"assurance.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2023-10-21T00:00:00"}