{"id":"https://openalex.org/W7160939385","doi":"https://doi.org/10.48550/arxiv.2605.08631","title":"Fatigue-Related Reaction Time Forecasting via EEG Functional Connectivity in Sustained Attention Task","display_name":"Fatigue-Related Reaction Time Forecasting via EEG Functional Connectivity in Sustained Attention Task","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160939385","doi":"https://doi.org/10.48550/arxiv.2605.08631"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08631","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135975233","display_name":"Bo Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135977040","display_name":"Liang Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8248999714851379},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7027999758720398},{"id":"https://openalex.org/keywords/vigilance","display_name":"Vigilance (psychology)","score":0.6241000294685364},{"id":"https://openalex.org/keywords/psychomotor-vigilance-task","display_name":"Psychomotor vigilance task","score":0.5454999804496765},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48739999532699585},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.48350000381469727},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45989999175071716},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.36730000376701355},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.3522000014781952},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.34610000252723694}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8248999714851379},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7027999758720398},{"id":"https://openalex.org/C192769605","wikidata":"https://www.wikidata.org/wiki/Q1418914","display_name":"Vigilance (psychology)","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5763000249862671},{"id":"https://openalex.org/C2778553148","wikidata":"https://www.wikidata.org/wiki/Q7256441","display_name":"Psychomotor vigilance task","level":4,"score":0.5454999804496765},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48739999532699585},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3889999985694885},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34369999170303345},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3253999948501587},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C2982735371","wikidata":"https://www.wikidata.org/wiki/Q9690","display_name":"Mental fatigue","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C67359045","wikidata":"https://www.wikidata.org/wiki/Q14026181","display_name":"Event-related potential","level":3,"score":0.30390000343322754},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C164953862","wikidata":"https://www.wikidata.org/wiki/Q7256440","display_name":"Psychomotor learning","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C148374829","wikidata":"https://www.wikidata.org/wiki/Q1891605","display_name":"Behavioral activation","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08631","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08631","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mental":[0],"fatigue":[1,173],"related":[2],"behavioral":[3,20,29,161],"performance":[4,162],"decline":[5],"precipitates":[6],"catastrophic":[7],"accidents":[8],"in":[9,58,165,175],"sustained":[10,60],"attention":[11],"tasks.":[12],"While":[13],"existing":[14],"neurophysiological":[15],"systems":[16],"effectively":[17],"detect":[18],"current":[19],"performance,":[21],"they":[22],"often":[23],"lack":[24],"the":[25,45,143,146,157],"capability":[26],"to":[27,88,98],"forecast":[28],"lapses":[30],"with":[31,65],"sufficient":[32],"temporal":[33,152],"lead":[34],"time":[35,47],"for":[36,44,117,171],"intervention.":[37],"This":[38,154],"study":[39,155],"proposes":[40],"a":[41,59,108,168],"novel":[42],"model":[43,84,102,140,148],"reaction":[46],"(RT)":[48],"forecasting":[49,93,130,160],"using":[50],"EEG":[51,68],"functional":[52,78],"connectivity":[53,79],"features.":[54,80],"Thirty":[55],"participants":[56],"engaged":[57],"Psychomotor":[61],"Vigilance":[62],"Test":[63],"(PVT)":[64],"concurrent":[66],"30-channel":[67],"recording.":[69],"Mutual":[70],"information":[71],"(MI)":[72],"between":[73],"electrodes":[74],"was":[75,86],"calculated":[76],"as":[77],"Random":[81],"Forest":[82],"regression":[83],"(RF)":[85],"trained":[87],"predict":[89],"single-trial":[90],"RTs":[91],"across":[92,128],"horizons":[94],"ranging":[95],"from":[96],"0":[97],"20":[99,163],"seconds.":[100],"The":[101],"demonstrated":[103],"robust":[104],"predictive":[105],"validity,":[106],"achieving":[107],"Root":[109],"Mean":[110],"Square":[111],"Error":[112],"(RMSE)":[113],"of":[114,145,159],"23.75":[115],"ms":[116],"immediate":[118],"detection":[119],"and":[120,136,149],"maintaining":[121],"high":[122],"accuracy":[123],"(RMSE":[124],"=":[125],"24.07":[126],"ms)":[127],"different":[129],"horizons.":[131],"Interpretability":[132],"analysis":[133],"via":[134],"SHAP":[135],"Linear":[137],"Mixed":[138],"Effects":[139],"further":[141],"support":[142],"validity":[144],"proposed":[147],"revealed":[150],"distinct":[151],"biomarkers.":[153],"validates":[156],"feasibility":[158],"seconds":[164],"advance,":[166],"offering":[167],"promising":[169],"methodology":[170],"proactive":[172],"management":[174],"safety-critical":[176],"systems.":[177]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}