{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129177"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129177","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Network cerebrovascular health predicts cognitive control performance","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms","abstract_has_math":false,"creators":["Quan, Xiang"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Gratton, Gabriele","Fabiani, Monica"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-03-24","date_published":"2025-03-24","updated_at":"2026-07-22T22:25:04Z","subjects":["Cerebrovascular health","networks, cognitive control"],"languages":["en","eng"],"rights":["Copyright 2025 Xiang Quan"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129177","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gratton, Gabriele","Fabiani, Monica"]},{"key":"dc:creator","label":"Author","values":["Quan, Xiang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-03-24","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cerebrovascular health","networks, cognitive control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Xiang Quan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129177"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms","The student, Xiang Quan, accepted the attached license on 2025-03-12 at 19:59.","The student, Xiang Quan, submitted this Thesis for approval on 2025-03-12 at 20:33.","This Thesis was approved for publication on 2025-03-24 at 11:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21673 on 2025-10-19 at 18:09:09","Cerebrovascular health has emerged as a crucial factor in influencing cognitive control performance. Previously, most studies have relied on basic measures of cerebrovascular health due to the lack of precise regional estimates. This study utilizes a novel pulse-DOT method to provide detailed regional Pulse Relaxation Function (PReFx) measurements, offering valuable insights into regional vascular elasticity. For the first time, we integrate a network-based approach from fMRI studies to cerebrovascular health research, as the support provided by the cerebrovascular system to different brain networks may differentially impact cognitive control performance. To comprehensively assess how various mechanisms of cognitive control are influenced by network cerebrovascular health, we employed a task-switching paradigm that simultaneously accesses proactive and reactive control. Our findings reveal that larger positive deviations in PReFx for the Dorsal Attention Network and the Visual Network from global PReFx measures are linked to reduced cognitive control costs. Conversely, larger positive deviations in PReFx for the Default Mode Network and Fronto-Parietal Network from global PReFx measures are associated with increased cognitive control costs. These results indicate that the relative balance in cerebrovascular function across different brain networks impacts cognitive control, highlighting the value of studying network-based cerebrovascular status in understanding cognitive performance."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Network cerebrovascular health predicts cognitive control performance"]}]}],"canonical_facts":{"dc:contributor":["Gratton, Gabriele","Fabiani, Monica"],"dc:creator":["Quan, Xiang"],"dc:date":["2025-03-24","2025-05"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms","The student, Xiang Quan, accepted the attached license on 2025-03-12 at 19:59.","The student, Xiang Quan, submitted this Thesis for approval on 2025-03-12 at 20:33.","This Thesis was approved for publication on 2025-03-24 at 11:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21673 on 2025-10-19 at 18:09:09","Cerebrovascular health has emerged as a crucial factor in influencing cognitive control performance. Previously, most studies have relied on basic measures of cerebrovascular health due to the lack of precise regional estimates. This study utilizes a novel pulse-DOT method to provide detailed regional Pulse Relaxation Function (PReFx) measurements, offering valuable insights into regional vascular elasticity. For the first time, we integrate a network-based approach from fMRI studies to cerebrovascular health research, as the support provided by the cerebrovascular system to different brain networks may differentially impact cognitive control performance. To comprehensively assess how various mechanisms of cognitive control are influenced by network cerebrovascular health, we employed a task-switching paradigm that simultaneously accesses proactive and reactive control. Our findings reveal that larger positive deviations in PReFx for the Dorsal Attention Network and the Visual Network from global PReFx measures are linked to reduced cognitive control costs. Conversely, larger positive deviations in PReFx for the Default Mode Network and Fronto-Parietal Network from global PReFx measures are associated with increased cognitive control costs. These results indicate that the relative balance in cerebrovascular function across different brain networks impacts cognitive control, highlighting the value of studying network-based cerebrovascular status in understanding cognitive performance."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129177"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Xiang Quan"],"dc:subject":["Cerebrovascular health","networks, cognitive control"],"dc:title":["Network cerebrovascular health predicts cognitive control performance"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:04Z"}