{"id":"https://openalex.org/W7163584375","doi":"https://doi.org/10.48550/arxiv.2606.04066","title":"SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease","display_name":"SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163584375","doi":"https://doi.org/10.48550/arxiv.2606.04066"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04066","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.2606.04066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137838364","display_name":"Jing Zhang (23775)","orcid":"https://orcid.org/0009-0008-4006-0450"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062649463","display_name":"Norman Scheel","orcid":"https://orcid.org/0000-0002-4641-7579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scheel, Norman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137901538","display_name":"Minheng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Minheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137871924","display_name":"Tong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137836515","display_name":"Yanjun Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Yanjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121122734","display_name":"David C. Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, David C.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137869554","display_name":"Rong Zhang","orcid":"https://orcid.org/0000-0001-5988-3854"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Rong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137883655","display_name":"Dajiang Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Dajiang","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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.7795000076293945,"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":0.7795000076293945,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.11860000342130661,"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/T10086","display_name":"Alzheimer's disease research and treatments","score":0.02710000053048134,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5860000252723694},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.5544999837875366},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5081999897956848},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.47099998593330383},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.3506999909877777},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.34599998593330383},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5885000228881836},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5558000206947327},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.5544999837875366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553600013256073},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5081999897956848},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.47099998593330383},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35749998688697815},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.34599998593330383},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.2953000068664551},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C141516989","wikidata":"https://www.wikidata.org/wiki/Q1182555","display_name":"Default mode network","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04066","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.2606.04066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04066","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"how":[1],"structural":[2,38],"connections":[3],"are":[4],"associated":[5],"with":[6,62,103,122],"tau":[7,45,74,114,136],"propagation":[8,46],"in":[9,49,138],"Alzheimer's":[10],"disease":[11],"(AD)":[12],"remains":[13],"a":[14,37,55],"central":[15],"open":[16],"question,":[17],"yet":[18],"existing":[19],"computational":[20],"models":[21],"either":[22],"rely":[23],"heavily":[24],"on":[25],"biophysical":[26],"assumptions":[27],"or":[28],"lack":[29],"neurobiologically":[30],"interpretable":[31],"pathway":[32,83,119],"maps.":[33],"We":[34],"present":[35],"SC-TauPath,":[36],"connectivity":[39],"(SC)":[40],"attribution":[41,66,79],"framework":[42],"that":[43,128],"maps":[44,84,120],"pathways":[47],"from":[48],"vivo":[50],"neuroimaging":[51],"data.":[52],"SC-TauPath":[53,110],"combines":[54],"Network":[56],"Diffusion":[57],"Model":[58],"(NDM)-augmented":[59],"multilayer":[60],"perceptron":[61],"gradient":[63],"$\\times$":[64],"input":[65],"to":[67,73,99],"score":[68],"each":[69],"SC":[70,106,129],"edge's":[71],"contribution":[72],"prediction,":[75],"then":[76],"translates":[77],"these":[78],"scores":[80],"into":[81],"multi-scale":[82],"(backbone":[85],"edges,":[86],"high-traffic":[87],"routes,":[88],"and":[89,107,116],"hub":[90],"ROIs),":[91],"which":[92],"validates":[93],"established":[94,123],"Braak":[95,124],"staging":[96,125],"anatomy.":[97],"Applied":[98],"234":[100],"ADNI":[101],"participants":[102],"paired":[104],"DTI":[105],"18F-Flortaucipir":[108],"PET,":[109],"achieves":[111],"strong":[112],"cross-validated":[113],"prediction":[115],"yields":[117],"attribution-based":[118],"consistent":[121],"anatomy,":[126],"demonstrating":[127],"encode":[130],"spatially":[131],"specific":[132],"information":[133],"about":[134],"regional":[135],"distribution":[137],"AD.":[139]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-05T00:00:00"}