{"id":"https://openalex.org/W4200404031","doi":"https://doi.org/10.1109/embc46164.2021.9630981","title":"Effect of Modulating fMRI Time-Series on Fluid Ability and Fluid Intelligence for Healthy Humans","display_name":"Effect of Modulating fMRI Time-Series on Fluid Ability and Fluid Intelligence for Healthy Humans","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200404031","doi":"https://doi.org/10.1109/embc46164.2021.9630981","pmid":"https://pubmed.ncbi.nlm.nih.gov/34892501"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9630981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9630981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sai Sanjay Balaji","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sai Sanjay Balaji","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bhaskar Sen","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar Sen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":null,"display_name":"Keshab K. Parhi","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keshab K. Parhi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15818182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"6070","last_page":"6073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9842000007629395,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9842000007629395,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.0015999999595806003,"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/fluid-intelligence","display_name":"Fluid intelligence","score":0.7835000157356262},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6452000141143799},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5015000104904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4106999933719635},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3691999912261963},{"id":"https://openalex.org/keywords/passband","display_name":"Passband","score":0.33399999141693115},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.33000001311302185},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.29789999127388}],"concepts":[{"id":"https://openalex.org/C2992622412","wikidata":"https://www.wikidata.org/wiki/Q1434146","display_name":"Fluid intelligence","level":4,"score":0.7835000157356262},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6452000141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353000164031982},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3978999853134155},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3379000127315521},{"id":"https://openalex.org/C46416853","wikidata":"https://www.wikidata.org/wiki/Q254758","display_name":"Passband","level":3,"score":0.33399999141693115},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C207054656","wikidata":"https://www.wikidata.org/wiki/Q1434146","display_name":"Fluid and crystallized intelligence","level":5,"score":0.29589998722076416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.275299996137619},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27480000257492065},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C166047926","wikidata":"https://www.wikidata.org/wiki/Q170277","display_name":"Intelligence quotient","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.2549999952316284}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc46164.2021.9630981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9630981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34892501","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34892501","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2020519533","https://openalex.org/W2024729467","https://openalex.org/W2042901969","https://openalex.org/W2056792865","https://openalex.org/W2101135654","https://openalex.org/W2150594877","https://openalex.org/W2469230926","https://openalex.org/W2563279629","https://openalex.org/W2777987555","https://openalex.org/W3030694699","https://openalex.org/W3044127717"],"related_works":[],"abstract_inverted_index":{"This":[0,51],"paper":[1],"investigates":[2,53],"the":[3,9,45,56,64,70,86,91,123,128,146,153,160,164,167,172,177,181,188,205],"effect":[4],"of":[5,58,63,81,90,127,138,152,190,199,204,211],"filtering":[6,156,169,189,210],"(or":[7],"modulating)":[8],"functional":[10,22],"magnetic":[11],"resonance":[12],"imaging":[13],"(fMRI)":[14],"time-series":[15,39,57],"on":[16],"intelligence":[17,33,47,75,148,175,200],"metrics":[18,48],"predicted":[19,147,174],"using":[20,97,134],"dynamic":[21],"connectivity":[23],"(dFC).":[24],"Thirteen":[25],"brain":[26,65],"regions":[27,62,93,130,192],"that":[28,187],"have":[29],"highest":[30,173],"correlation":[31],"with":[32,102,159],"are":[34,40,49,83,131],"selected":[35],"and":[36,73,116],"their":[37],"corresponding":[38],"filtered.":[41],"Using":[42],"filtered":[43,96,132],"time-series,":[44],"modified":[46],"predicted.":[50],"experiment":[52],"whether":[54],"modulating":[55],"one":[59],"or":[60,68],"two":[61,126,191],"will":[66],"increase":[67],"decrease":[69],"fluid":[71,74],"ability":[72],"among":[76,176],"healthy":[77],"humans.":[78],"Two":[79],"sets":[80],"experiments":[82],"performed.":[84],"In":[85,122,143,163,180],"first":[87,165],"case,":[88,125,166,183],"each":[89],"thirteen":[92,129],"is":[94],"separately":[95],"four":[98,178],"different":[99],"digital":[100],"filters":[101],"passbands:":[103],"i)":[104],"0":[105,140],"-":[106,110,114,119,141],"0.25\u03c0,":[107],"ii)":[108],"0.25\u03c0":[109],"0.5\u03c0,":[111],"iii)":[112],"0.5\u03c0":[113],"0.75\u03c0,":[115],"iv)":[117],"0.75\u03c0":[118],"\u03c0,":[120],"respectively.":[121],"second":[124,182],"simultaneously":[133,193],"a":[135,196,212],"low-pass":[136,168,209],"filter":[137],"passband":[139],"0.25\u03c0.":[142],"both":[144],"cases,":[145],"declined":[149],"for":[150,201],"45-65%":[151],"subjects":[154,206],"after":[155],"in":[157,195],"comparison":[158],"ground":[161],"truths.":[162],"process":[170],"had":[171],"filters.":[179],"it":[184],"was":[185],"noticed":[186],"resulted":[194],"higher":[197],"prediction":[198],"over":[202],"80%":[203],"compared":[207],"to":[208],"single":[213],"region.":[214]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-12-31T00:00:00"}
