{"id":"https://openalex.org/W4409156512","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942838","title":"Canonical Parameterization of Neural Power Spectra for the Detection of Mild Traumatic Brain Injury","display_name":"Canonical Parameterization of Neural Power Spectra for the Detection of Mild Traumatic Brain Injury","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156512","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942838"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10942838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112182319","display_name":"Andrew Phillips","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Roy Phillips","raw_affiliation_strings":["Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116925608","display_name":"Aila Teimouri","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aila Teimouri","raw_affiliation_strings":["Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061405587","display_name":"Behnaam Aazhang","orcid":"https://orcid.org/0000-0001-9536-7734"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnaam Aazhang","raw_affiliation_strings":["Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroengineering Initiative at Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"239","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8698999881744385,"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":0.8698999881744385,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8445000052452087,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.6839039325714111},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49944138526916504},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4798440635204315},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.4110730290412903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3813113570213318},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2965199947357178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25928550958633423},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21420353651046753},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1136440634727478},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.07168170809745789}],"concepts":[{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.6839039325714111},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49944138526916504},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4798440635204315},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.4110730290412903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3813113570213318},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2965199947357178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25928550958633423},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21420353651046753},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1136440634727478},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.07168170809745789},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10942838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1518809979","https://openalex.org/W1972145246","https://openalex.org/W1973275441","https://openalex.org/W1981337226","https://openalex.org/W2025933288","https://openalex.org/W2110065044","https://openalex.org/W2128144507","https://openalex.org/W2949606941","https://openalex.org/W3003257820","https://openalex.org/W3110151578","https://openalex.org/W3183206172","https://openalex.org/W4225828198","https://openalex.org/W4252684946","https://openalex.org/W4283768861","https://openalex.org/W6678230397","https://openalex.org/W6749788937","https://openalex.org/W6873766346"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2326314491","https://openalex.org/W2390279801","https://openalex.org/W3206692032","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0,27],"brain's":[1],"electrical":[2],"activity":[3,185],"exhibits":[4],"both":[5],"periodic":[6,42,56],"and":[7,19,43,63,121],"aperiodic":[8,44],"properties.":[9],"Research":[10],"decomposes":[11],"neural":[12,38,68],"spectra":[13,125],"into":[14,40],"canonical":[15,90,175],"frequency":[16,91,101,176,188],"band":[17,92],"oscillations":[18],"a":[20],"component":[21],"that":[22,109],"decays":[23],"inversely":[24],"to":[25,99,113],"frequency.":[26],"innovative":[28],"data-driven":[29],"technique":[30],"SpecParam":[31,118],"by":[32,94,158],"Donoghue":[33],"et":[34],"al.":[35],"(2020)":[36],"parameterizes":[37],"signals":[39],"these":[41,72],"components.":[45],"This":[46],"method":[47],"does":[48],"not":[49,161],"directly":[50],"incorporate":[51],"prior":[52],"knowledge":[53],"of":[54,83,130],"the":[55,76,80,96,105,127,155],"activity's":[57],"expected":[58],"location,":[59],"which":[60,148],"limits":[61],"interpretability":[62],"performance,":[64],"particularly":[65],"on":[66,119,164],"broadband":[67,114],"spectra.":[69],"To":[70,132],"address":[71],"limitations,":[73],"we":[74,138],"developed":[75],"Spectral":[77],"Parameterization":[78],"for":[79,170,182,193],"Broadband":[81],"Analysis":[82],"Neural":[84],"Data":[85],"(SP-BAND)":[86],"algorithm.":[87],"SP-BAND":[88,110,159,178],"incorporates":[89],"information":[93],"constraining":[95],"oscillatory":[97],"peaks":[98],"specified":[100],"bands":[102],"before":[103],"parameterizing":[104],"signal.":[106],"We":[107],"demon-strate":[108],"better":[111],"fits":[112],"noisy":[115],"data":[116,141],"than":[117],"simulated":[120],"real":[122],"EEG":[123,140],"power":[124],"with":[126,136,190],"same":[128],"number":[129],"parameters.":[131],"illustrate":[133],"biomarker":[134],"discovery":[135],"SP-BAND,":[137],"analyzed":[139],"from":[142],"mild":[143],"traumatic":[144],"brain":[145,184],"injury":[146],"subjects,":[147],"often":[149],"manifests":[150],"without":[151],"imaging":[152],"biomarkers.":[153],"While":[154],"biomarkers":[156],"identified":[157],"were":[160],"statistically":[162],"discriminative":[163],"holdout":[165],"data,":[166],"they":[167],"offer":[168],"directions":[169],"future":[171],"research.":[172],"By":[173],"incorporating":[174],"bands,":[177,189],"advances":[179],"analysis":[180],"methods":[181],"intricate":[183],"across":[186],"broad":[187],"potential":[191],"application":[192],"detecting":[194],"dysfunction":[195],"in":[196],"numerous":[197],"neurological":[198],"conditions.":[199]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
