{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115629"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115629","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Comparing analytic approaches to infant functional near-infrared spectroscopy data","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","abstract_html":"Submission published under a 24 month embargo labeled &#x27;U of I Access&#x27;, the embargo will last until 2024-05-01","abstract_has_math":false,"creators":["Liu, Yiyu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Hyde, Daniel C."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:54Z","subjects":["fCOI","fixed-array analysis","infant fNIRs","cognition","temporal lobe"],"languages":["en","eng"],"rights":["Copyright 2022 Yiyu Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115629","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hyde, Daniel C."]},{"key":"dc:creator","label":"Author","values":["Liu, Yiyu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-29"]},{"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 at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["fCOI","fixed-array analysis","infant fNIRs","cognition","temporal lobe"]}]},{"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 2022 Yiyu Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115629"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Yiyu Liu, accepted the attached license on 2022-04-28 at 15:49.","The student, Yiyu Liu, submitted this Thesis for approval on 2022-04-28 at 15:58.","This Thesis was approved for publication on 2022-04-29 at 09:50.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18006 on 2022-11-11 at 12:12:21","Near-infrared spectroscopy (NIRS) is increasingly used to study brain function in infants, but the development and standardization of analysis techniques for use with infant NIRS data has not paced other technical advances. Here we quantify and compare the effects of different methods of analysis of infant NIRS data. Specifically, we analyzed two independent NIRS datasets involving 6-9-month-old infants contrasting results from more traditional, fixed array analyses with several functional channel of interest (fCOI) analysis approaches. In addition, we tested the effects of varying the number and anatomical location of potential data channels to be included in the fCOI definition. Over two studies we find that fCOI approaches are more sensitive than fixed array analyses, especially when channels of interests were defined within-subjects. Applying anatomical restriction and/or including multiple channels in the fCOI definition does not decrease and in some cases increases sensitivity of fCOI methods. Based on these results, we recommend that researchers consider employing fCOI approaches to the anlaysis of infant NIRS data and provide some guidelines for choosing between particular fCOI approaches and settings for the study of infant brain function and development."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Comparing analytic approaches to infant functional near-infrared spectroscopy data"]}]}],"canonical_facts":{"dc:contributor":["Hyde, Daniel C."],"dc:creator":["Liu, Yiyu"],"dc:date":["2022-05","2022-04-29"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Yiyu Liu, accepted the attached license on 2022-04-28 at 15:49.","The student, Yiyu Liu, submitted this Thesis for approval on 2022-04-28 at 15:58.","This Thesis was approved for publication on 2022-04-29 at 09:50.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18006 on 2022-11-11 at 12:12:21","Near-infrared spectroscopy (NIRS) is increasingly used to study brain function in infants, but the development and standardization of analysis techniques for use with infant NIRS data has not paced other technical advances. Here we quantify and compare the effects of different methods of analysis of infant NIRS data. Specifically, we analyzed two independent NIRS datasets involving 6-9-month-old infants contrasting results from more traditional, fixed array analyses with several functional channel of interest (fCOI) analysis approaches. In addition, we tested the effects of varying the number and anatomical location of potential data channels to be included in the fCOI definition. Over two studies we find that fCOI approaches are more sensitive than fixed array analyses, especially when channels of interests were defined within-subjects. Applying anatomical restriction and/or including multiple channels in the fCOI definition does not decrease and in some cases increases sensitivity of fCOI methods. Based on these results, we recommend that researchers consider employing fCOI approaches to the anlaysis of infant NIRS data and provide some guidelines for choosing between particular fCOI approaches and settings for the study of infant brain function and development."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115629"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Yiyu Liu"],"dc:subject":["fCOI","fixed-array analysis","infant fNIRs","cognition","temporal lobe"],"dc:title":["Comparing analytic approaches to infant functional near-infrared spectroscopy data"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}