{"id":"https://openalex.org/W2090277182","doi":"https://doi.org/10.1109/icassp.2010.5495674","title":"Phase correction and denoising for ICA of complex FMRI data","display_name":"Phase correction and denoising for ICA of complex FMRI data","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2090277182","doi":"https://doi.org/10.1109/icassp.2010.5495674","mag":"2090277182"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103565821","display_name":"Pedro A. Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Rodriguez","raw_affiliation_strings":["Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006405359","display_name":"Hualiang Li","orcid":"https://orcid.org/0000-0003-0126-2056"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hualiang Li","raw_affiliation_strings":["Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023159708","display_name":"Nicolle Correa","orcid":"https://orcid.org/0000-0002-0527-0806"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolle Correa","raw_affiliation_strings":["Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"University of Maryland, Baltimore County, Dept. of CSEE, Baltimore, 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]},{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["MIND Research Network, Department of ECE, University of New Mexico, Albuquerque, NM, USA","The Mind Research Network and University of New Mexico, Dept. of ECE, Albuquerque, 87131, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIND Research Network, Department of ECE, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I1334567473","https://openalex.org/I169521973"]},{"raw_affiliation_string":"The Mind Research Network and University of New Mexico, Dept. of ECE, Albuquerque, 87131, USA","institution_ids":["https://openalex.org/I1334567473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0159,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76918679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"497","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9958000183105469,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.994700014591217,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.8550014495849609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259126305580139},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6681323051452637},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6573919057846069},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6522448658943176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6194868087768555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6093223690986633},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47487208247184753},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44411808252334595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512195944786072},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18943262100219727}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8550014495849609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259126305580139},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6681323051452637},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6573919057846069},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6522448658943176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194868087768555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6093223690986633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47487208247184753},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44411808252334595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512195944786072},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18943262100219727},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.6777","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.6777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.umbc.edu/~adali/pubs/IEEEpubs/icassp2010rodriguez.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1985670375","https://openalex.org/W1989342698","https://openalex.org/W2002660165","https://openalex.org/W2016444985","https://openalex.org/W2025900917","https://openalex.org/W2084147096","https://openalex.org/W2104072768","https://openalex.org/W2107612479","https://openalex.org/W2108384452","https://openalex.org/W2108746992","https://openalex.org/W2112345337","https://openalex.org/W2120371717","https://openalex.org/W2124757684","https://openalex.org/W2127737934","https://openalex.org/W2145365764","https://openalex.org/W2610115710"],"related_works":["https://openalex.org/W4252230435","https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W1720164552","https://openalex.org/W3144722888","https://openalex.org/W2364896863","https://openalex.org/W1791688437"],"abstract_inverted_index":{"Analysis":[0],"of":[1,20,42,51,76,113,127,147,163,180],"functional":[2],"magnetic":[3],"resonance":[4],"imaging":[5],"(fMRI)":[6],"data":[7,25,115,158],"in":[8,124,165],"its":[9],"native,":[10],"complex":[11,57,156],"form":[12,126],"has":[13,64,95],"been":[14,88,96],"shown":[15],"to":[16,111,130,159,172],"increase":[17],"the":[18,21,39,43,59,77,90,121,125,132,148,155,161,166,177,181],"sensitivity":[19],"analysis":[22,32,73,149],"both":[23],"for":[24,35,48,56,71,134,137,145],"driven":[26],"techniques":[27],"such":[28],"as":[29,151,153],"independent":[30],"component":[31],"(ICA)":[33],"and":[34,74,99],"model-driven":[36],"techniques;":[37],"however,":[38],"noisy":[40],"nature":[41],"phase":[44,66,93,102,138,167],"poses":[45],"a":[46,65,101],"challenge":[47],"successful":[49,178],"study":[50],"fMRI":[52,114,157,185],"data.":[53,186],"In":[54,79,140],"addition,":[55,141],"ICA,":[58],"inherent":[60],"scaling":[61],"ambiguity,":[62],"which":[63,86,168],"term,":[67],"introduces":[68],"additional":[69],"difficulty":[70],"group":[72],"visualization":[75,146],"results.":[78],"this":[80],"paper,":[81],"we":[82,142],"address":[83],"these":[84],"issues,":[85],"have":[87],"among":[89],"main":[91],"reasons":[92],"information":[94,129],"traditionally":[97],"discarded":[98],"introduce":[100,143],"correction":[103],"scheme":[104],"that":[105],"can":[106,117],"be":[107,118],"either":[108],"applied":[109],"subsequent":[110],"ICA":[112,122,173],"or":[116],"incorporated":[119],"into":[120],"algorithm":[123],"prior":[128],"eliminate":[131],"need":[133],"further":[135],"processing":[136],"correction.":[139],"methods":[144,182],"results":[150],"well":[152],"preprocessing":[154],"mitigate":[160],"effects":[162],"noise":[164],"are":[169],"not":[170],"limited":[171],"algorithms.":[174],"We":[175],"demonstrate":[176],"application":[179],"using":[183],"actual":[184]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}