{"id":"https://openalex.org/W7222199606","doi":"https://doi.org/10.64898/2026.10.07.757468","title":"Beyond High-Amplitude Events: Amplitude-Resolved Spatial and Temporal ICA Representations in fMRI","display_name":"Beyond High-Amplitude Events: Amplitude-Resolved Spatial and Temporal ICA Representations in fMRI","publication_year":2026,"publication_date":"2026-10-14","ids":{"openalex":"https://openalex.org/W7222199606","doi":"https://doi.org/10.64898/2026.10.07.757468","pmid":"https://pubmed.ncbi.nlm.nih.gov/42999138","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13742483"},"language":"en","primary_location":{"id":"doi:10.64898/2026.10.07.757468","doi":"https://doi.org/10.64898/2026.10.07.757468","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.10.07.757468","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/14/2026.10.07.757468.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/14/2026.10.07.757468.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119958340","display_name":"Duc Nguyen Tien Vu","orcid":"https://orcid.org/0009-0003-5072-2992","observed_orcids":["https://orcid.org/0009-0003-5072-2992"]},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Duc Vu","raw_affiliation_strings":["Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) @ Georgia State, Georgia Tech and Emory University, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0009-0003-5072-2992","affiliations":[{"raw_affiliation_string":"Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) @ Georgia State, Georgia Tech and Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I4210133909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747","observed_orcids":["https://orcid.org/0000-0001-9058-0747","https://orcid.org/0000-0002-9894-7934"]},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince Calhoun","raw_affiliation_strings":["Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) @ Georgia State, Georgia Tech and Emory University, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9058-0747","affiliations":[{"raw_affiliation_string":"Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) @ Georgia State, Georgia Tech and Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I4210133909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119958340"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I4210133909"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.8479999899864197},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"resting-state fMRI","score":0.8169999718666077},{"id":"https://openalex.org/keywords/functional-network-connectivity","display_name":"functional network connectivity","score":0.9049999713897705},{"id":"https://openalex.org/keywords/schizophrenia-classification","display_name":"schizophrenia classification","score":0.7390000224113464},{"id":"https://openalex.org/keywords/co-activation-patterns","display_name":"co-activation patterns","score":0.8059999942779541},{"id":"https://openalex.org/keywords/frequency-bands","display_name":"frequency bands","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6759999990463257},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6722000241279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291000247001648},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5579000115394592},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.36820000410079956},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28299999237060547},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C194226119","wikidata":"https://www.wikidata.org/wiki/Q161779","display_name":"Spatial reference system","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.64898/2026.10.07.757468","doi":"https://doi.org/10.64898/2026.10.07.757468","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.10.07.757468","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/14/2026.10.07.757468.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},{"id":"pmid:42999138","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42999138","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,"listed_in":[],"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":"bioRxiv : the preprint server for biology","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.64898/2026.10.07.757468","doi":"https://doi.org/10.64898/2026.10.07.757468","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.10.07.757468","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/14/2026.10.07.757468.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7222199606.pdf","grobid_xml":"https://content.openalex.org/works/W7222199606.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1943480391","https://openalex.org/W1980823773","https://openalex.org/W2058187841","https://openalex.org/W2161502085","https://openalex.org/W2553557322","https://openalex.org/W2950455940","https://openalex.org/W2967967941","https://openalex.org/W4283585246","https://openalex.org/W4377043842","https://openalex.org/W4410764217","https://openalex.org/W4416088689"],"related_works":["https://openalex.org/W2055461409","https://openalex.org/W235141775","https://openalex.org/W3015453656","https://openalex.org/W3151927408","https://openalex.org/W2106010676","https://openalex.org/W7098041792","https://openalex.org/W2004892750","https://openalex.org/W2066053111","https://openalex.org/W2348937035","https://openalex.org/W2016444985"],"abstract_inverted_index":{"Functional":[0],"MRI":[1],"analyses":[2],"commonly":[3],"reduce":[4],"high-dimensional":[5],"brain":[6],"activity":[7],"using":[8,61,75],"predefined":[9],"spatial":[10,46,108,125],"summaries,":[11],"such":[12,21],"as":[13,22],"region-of-interest":[14],"(ROI)":[15],"averages,":[16],"or":[17,162],"temporally":[18],"selective":[19],"representations,":[20],"co-activation":[23],"patterns":[24],"(CAPs)":[25],"and":[26,47,93,122,137,189,197],"high-amplitude":[27,198],"events.":[28],"These":[29,175],"approaches":[30],"provide":[31],"useful":[32],"summaries":[33,196],"but":[34],"do":[35],"not":[36],"explicitly":[37],"characterize":[38],"information":[39,147,153],"distribution":[40],"across":[41,156,184],"the":[42,70,81,107,146,164,185],"continuous":[43],"magnitude":[44,121],"of":[45,134,169],"temporal":[48,82],"network":[49,98],"expression.":[50],"We":[51],"introduce":[52,111],"an":[53,112],"amplitude-resolved":[54],"framework":[55],"for":[56,102],"systematically":[57],"interrogating":[58],"this":[59],"continuum":[60,188],"independent":[62],"component":[63],"analysis":[64],"(ICA).":[65],"Resting-state":[66],"fMRI":[67,180],"data":[68],"in":[69],"FBIRN":[71],"dataset":[72],"were":[73,86],"decomposed":[74],"spatially-constrained":[76],"ICA":[77,91,119,186],"with":[78,96],"NeuroMark.":[79],"For":[80,106],"representation,":[83,109],"time":[84],"points":[85],"stratified":[87],"according":[88,117],"to":[89,118,144],"global":[90],"amplitude":[92,104,170],"frequency":[94],"bands,":[95],"functional":[97],"connectivity":[99],"(FNC)":[100],"estimated":[101],"each":[103,150],"range.":[105],"we":[110],"approach":[113],"that":[114,178,192],"stratifies":[115],"voxels":[116],"loading":[120],"generates":[123],"amplitude-specific":[124],"similarity":[126],"matrices.":[127],"Linear":[128],"support":[129],"vector":[130],"machine":[131],"(SVM)":[132],"classification":[133],"schizophrenia":[135],"(SZ)":[136],"healthy":[138],"control":[139],"(HC)":[140],"participants":[141],"was":[142],"used":[143],"probe":[145],"retained":[148],"by":[149],"representation.":[151],"Discriminative":[152],"varied":[154],"non-monotonically":[155],"amplitude:":[157],"intermediate":[158],"ranges":[159,171],"frequently":[160],"matched":[161],"exceeded":[163],"highest":[165],"amplitudes,":[166],"while":[167],"combinations":[168],"further":[172],"improved":[173],"classification.":[174],"findings":[176],"demonstrate":[177],"informative":[179],"structure":[181],"is":[182],"distributed":[183],"expression":[187],"motivate":[190],"representations":[191],"complement":[193],"fixed":[194],"ROI":[195],"approaches.":[199]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-16T00:00:00"}
