{"id":"https://openalex.org/W7133354796","doi":"https://doi.org/10.1016/j.compeleceng.2026.111076","title":"Attention-guided electroencephalography fusion with fractal and nonlinear dynamics decodes early Alzheimer\u2019s biomarkers","display_name":"Attention-guided electroencephalography fusion with fractal and nonlinear dynamics decodes early Alzheimer\u2019s biomarkers","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133354796","doi":"https://doi.org/10.1016/j.compeleceng.2026.111076"},"language":"en","primary_location":{"id":"doi:10.1016/j.compeleceng.2026.111076","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111076","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compeleceng.2026.111076","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047355647","display_name":"Chayut Bunterngchit","orcid":"https://orcid.org/0000-0001-5104-1177"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["CN","TH"],"is_corresponding":false,"raw_author_name":"Chayut Bunterngchit","raw_affiliation_strings":["Division of Industrial and Logistics Engineering Technology, Faculty of Engineering and Technology, King Mongkut\u2019s University of Technology North Bangkok, Rayong Campus, Rayong 21120, Thailand","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":"https://orcid.org/0000-0001-5104-1177","affiliations":[{"raw_affiliation_string":"Division of Industrial and Logistics Engineering Technology, Faculty of Engineering and Technology, King Mongkut\u2019s University of Technology North Bangkok, Rayong Campus, Rayong 21120, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127928767","display_name":"Chaowanan Jamroen","orcid":null},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chaowanan Jamroen","raw_affiliation_strings":["Division of Electrical and Automation Engineering Technology, Faculty of Engineering and Technology, King Mongkut\u2019s University of Technology North Bangkok, Rayong Campus, Rayong 21120, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-8478-7992","affiliations":[{"raw_affiliation_string":"Division of Electrical and Automation Engineering Technology, Faculty of Engineering and Technology, King Mongkut\u2019s University of Technology North Bangkok, Rayong Campus, Rayong 21120, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127921538","display_name":"Saba Aslam","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saba Aslam","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0001-7681-4324","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004310412","display_name":"Abdur Rasool","orcid":"https://orcid.org/0000-0001-5334-9001"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Abdur Rasool","raw_affiliation_strings":["Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu HI, 96822, USA","Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0001-5334-9001","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu HI, 96822, USA","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Oluwarotimi Williams Samuel","raw_affiliation_strings":["University of Derby, Data Science Research Centre, College of Science & Engineering, Derby DE22 3AW, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1945-1402","affiliations":[{"raw_affiliation_string":"University of Derby, Data Science Research Centre, College of Science & Engineering, Derby DE22 3AW, United Kingdom","institution_ids":["https://openalex.org/I22128151"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042592657"],"corresponding_institution_ids":["https://openalex.org/I22128151"],"apc_list":{"value":3100,"currency":"USD","value_usd":3100},"apc_paid":{"value":3100,"currency":"USD","value_usd":3100},"fwci":18.923,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98630355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"133","issue":null,"first_page":"111076","last_page":"111076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.28349998593330383,"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/T10581","display_name":"Neural dynamics and brain function","score":0.28349998593330383,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.15279999375343323,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.11299999803304672,"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/overfitting","display_name":"Overfitting","score":0.8224999904632568},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.756600022315979},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5303999781608582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5253999829292297},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3788999915122986},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.3644999861717224},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.35179999470710754},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3257000148296356}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8224999904632568},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.756600022315979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6850000023841858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63919997215271},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5253999829292297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38420000672340393},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.3068999946117401},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.compeleceng.2026.111076","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111076","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.compeleceng.2026.111076","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111076","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2113651175","https://openalex.org/W2126149232","https://openalex.org/W2783371799","https://openalex.org/W2798054687","https://openalex.org/W2944155581","https://openalex.org/W3086032303","https://openalex.org/W3115292829","https://openalex.org/W3154946936","https://openalex.org/W3189791507","https://openalex.org/W3204829872","https://openalex.org/W4210391623","https://openalex.org/W4221056805","https://openalex.org/W4288384148","https://openalex.org/W4291149459","https://openalex.org/W4302004066","https://openalex.org/W4311144192","https://openalex.org/W4319460119","https://openalex.org/W4323065458","https://openalex.org/W4328095021","https://openalex.org/W4377157636","https://openalex.org/W4378528024","https://openalex.org/W4379260156","https://openalex.org/W4384080511","https://openalex.org/W4384343101","https://openalex.org/W4387058240","https://openalex.org/W4391809943","https://openalex.org/W4393999988","https://openalex.org/W4399456603","https://openalex.org/W4400802642","https://openalex.org/W4401806707","https://openalex.org/W4402921971","https://openalex.org/W4403973220","https://openalex.org/W4404032872","https://openalex.org/W4407269739","https://openalex.org/W4407891358","https://openalex.org/W4411829622","https://openalex.org/W4412496735","https://openalex.org/W4413148960","https://openalex.org/W4413366722","https://openalex.org/W4413472547","https://openalex.org/W4414164560"],"related_works":[],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"disease":[1],"(AD)":[2],"presents":[3],"a":[4,84,187],"critical":[5],"and":[6,17,54,103,132,146,153,159,193,199,226,236,252,258],"growing":[7],"challenge":[8],"to":[9,13,44,98,167,238],"healthcare":[10],"systems":[11],"due":[12],"its":[14,18],"neurodegenerative":[15],"nature":[16],"complex,":[19],"varied":[20],"effects":[21],"on":[22,121],"cognitive":[23,133],"function.":[24],"Although":[25],"electroencephalography":[26],"(EEG)":[27],"data":[28],"combined":[29],"with":[30,59,72],"deep":[31],"learning":[32],"methods":[33],"have":[34],"shown":[35],"promise":[36],"for":[37,126,210],"early":[38,224,275],"detection,":[39,225],"existing":[40],"approaches":[41],"often":[42],"struggle":[43],"achieve":[45],"reliable":[46,211,271],"accuracy.":[47,264],"This":[48],"difficulty":[49],"arises":[50],"from":[51],"the":[52,65,89,118,122,138,178,183,206],"subtle":[53],"heterogeneous":[55],"neural":[56],"patterns":[57,125],"associated":[58],"AD":[60,221,243],"progression,":[61],"as":[62,64],"well":[63],"heightened":[66],"risk":[67],"of":[68,182],"overfitting":[69],"when":[70],"working":[71],"small":[73],"or":[74],"imbalanced":[75],"datasets.":[76],"To":[77],"address":[78],"these":[79],"limitations,":[80],"this":[81],"study":[82],"introduces":[83],"new":[85],"diagnostic":[86],"modeling":[87],"paradigm:":[88],"gated":[90],"recurrent":[91],"unit\u2013attentive":[92],"EEG":[93,107,165,240,260],"fusion":[94],"(GAEF)":[95],"model,":[96,185],"designed":[97],"effectively":[99],"capture":[100,239],"both":[101,197],"spectral":[102,157,161],"temporal":[104],"dependencies":[105],"in":[106,144,196,213,220,274],"data.":[108],"The":[109],"GAEF":[110,184,232,266],"model":[111,139,233],"incorporates":[112],"an":[113],"attention":[114,237],"mechanism":[115],"that":[116],"enhances":[117],"model\u2019s":[119,207],"focus":[120],"most":[123],"relevant":[124],"distinguishing":[127],"AD,":[128,191,250],"frontotemporal":[129],"dementia":[130],"(FTD),":[131],"normal":[134],"(CN)":[135],"cases.":[136],"Furthermore,":[137],"leverages":[140],"advanced":[141],"features":[142,261],"rooted":[143],"fractal":[145,151],"nonlinear":[147,259],"dynamics,":[148],"including":[149],"Higuchi":[150],"dimension":[152],"Lyapunov":[154],"exponents,":[155],"alongside":[156],"entropy":[158],"power":[160],"density":[162],"across":[163,173,190,249],"various":[164],"bands,":[166],"improve":[168],"classification":[169,263],"boundaries.":[170],"Experimental":[171],"results":[172],"multiple":[174],"standard":[175],"datasets":[176],"demonstrate":[177],"robust":[179,268],"generalization":[180],"capability":[181],"achieving":[186],"98.3%":[188,247],"accuracy":[189,248],"FTD,":[192,251],"CN":[194,253],"classes":[195],"training":[198],"testing":[200],"without":[201,254],"overfitting.":[202,255],"These":[203],"findings":[204],"underscore":[205],"practical":[208],"suitability":[209],"deployment":[212],"real-world":[214],"clinical":[215,272],"scenarios,":[216],"significantly":[217],"advancing":[218],"precision":[219],"diagnosis,":[222],"facilitating":[223],"enhancing":[227,242],"patient":[228],"care":[229],"strategies.":[230],"\u2022":[231,245,256,265],"uses":[234],"GRU":[235],"patterns,":[241],"detection.":[244,276],"Achieves":[246],"Fractal":[257],"enhance":[262],"shows":[267],"generalization,":[269],"promising":[270],"use":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2026-03-04T00:00:00"}