{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/132615"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/132615","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Early neural signatures of cognitive development","abstract":"Studying infant cognition is an exciting yet challenging task due to the complexities of assessment in this developing population. Non-verbal behaviors, particularly looking behaviors, have served as important tools in enriching our understanding of infants’ minds. However, interpreting looking behavior in terms of particular cognitive or brain mechanisms presents significant challenges, given the multiple underlying processes involved (Aslin, 2007; Reynolds & Romano, 2016). Alternatively, infant neuroimaging methodologies, particularly functional near-infrared spectroscopy (fNIRS) and event-related potential (ERP), promise to provide additional insight into the mechanisms of cognitive development during the first few years of life. More specifically, these technologies promise increased measurement specificity in terms of the particular perceptual and cognitive processes engaged in a given task. The goal of this dissertation is to explore the potential of using fNIRS and ERP measures in combination with longitudinal data to better understand development across three distinct domains. In Chapter 1, I provide a review of relevant literature in support of this goal. In Chapter 2, I present evidence from fNIRS data that early social-cognitive competencies in infancy rely on shared cognitive and neural systems with the explicit theory of mind abilities observed in older children and adults. In Chapter 3, I demonstrate that ERP can be used for measure of a specific aspect of executive functioning in infancy, working memory, and that ERP measures of working memory have longitudinal predictive validity with executive functioning later in childhood. In Chapter 4, I demonstrate that ERP can also be used as infant neurocognitive outcome measures to pinpoint the impact of prenatal exposure to endocrine-disrupting chemicals (EDCs) on specific perceptual and cognitive processes. Taken together, this dissertation provides three compelling examples of how developmental cognitive neuroscience measures can enhance our understanding of cognitive development in infancy. These studies also lay groundwork for future research, offering promising methodologies and measures for exploring various cognitive domains within developing populations.","abstract_html":"Studying infant cognition is an exciting yet challenging task due to the complexities of assessment in this developing population. Non-verbal behaviors, particularly looking behaviors, have served as important tools in enriching our understanding of infants’ minds. However, interpreting looking behavior in terms of particular cognitive or brain mechanisms presents significant challenges, given the multiple underlying processes involved (Aslin, 2007; Reynolds & Romano, 2016). Alternatively, infant neuroimaging methodologies, particularly functional near-infrared spectroscopy (fNIRS) and event-related potential (ERP), promise to provide additional insight into the mechanisms of cognitive development during the first few years of life. More specifically, these technologies promise increased measurement specificity in terms of the particular perceptual and cognitive processes engaged in a given task. The goal of this dissertation is to explore the potential of using fNIRS and ERP measures in combination with longitudinal data to better understand development across three distinct domains. In Chapter 1, I provide a review of relevant literature in support of this goal. In Chapter 2, I present evidence from fNIRS data that early social-cognitive competencies in infancy rely on shared cognitive and neural systems with the explicit theory of mind abilities observed in older children and adults. In Chapter 3, I demonstrate that ERP can be used for measure of a specific aspect of executive functioning in infancy, working memory, and that ERP measures of working memory have longitudinal predictive validity with executive functioning later in childhood. In Chapter 4, I demonstrate that ERP can also be used as infant neurocognitive outcome measures to pinpoint the impact of prenatal exposure to endocrine-disrupting chemicals (EDCs) on specific perceptual and cognitive processes. Taken together, this dissertation provides three compelling examples of how developmental cognitive neuroscience measures can enhance our understanding of cognitive development in infancy. These studies also lay groundwork for future research, offering promising methodologies and measures for exploring various cognitive domains within developing populations.","abstract_has_math":false,"creators":["Liu, Yiyu"],"institution":"University of Illinois Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Hyde, Daniel C.","Fisher, Cynthia L.","Schantz, Susan L.","Rizzo, Michael T.","Aguiar, Andrea"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-12","date_published":"2025-12","updated_at":"2026-07-22T22:25:07Z","subjects":["infant neuroimaging, cognitive development, neural development, fNIRS, ERP"],"languages":["en"],"rights":["Copyright 2025 Yiyu Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/132615","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hyde, Daniel C.","Fisher, Cynthia L.","Schantz, Susan L.","Rizzo, Michael T.","Aguiar, Andrea"]},{"key":"dc:creator","label":"Author","values":["Liu, Yiyu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-12","2025-08-22"]},{"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":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["infant neuroimaging, cognitive development, neural development, fNIRS, ERP"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Yiyu Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/132615"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Studying infant cognition is an exciting yet challenging task due to the complexities of assessment in this developing population. Non-verbal behaviors, particularly looking behaviors, have served as important tools in enriching our understanding of infants’ minds. However, interpreting looking behavior in terms of particular cognitive or brain mechanisms presents significant challenges, given the multiple underlying processes involved (Aslin, 2007; Reynolds & Romano, 2016). Alternatively, infant neuroimaging methodologies, particularly functional near-infrared spectroscopy (fNIRS) and event-related potential (ERP), promise to provide additional insight into the mechanisms of cognitive development during the first few years of life. More specifically, these technologies promise increased measurement specificity in terms of the particular perceptual and cognitive processes engaged in a given task. The goal of this dissertation is to explore the potential of using fNIRS and ERP measures in combination with longitudinal data to better understand development across three distinct domains. In Chapter 1, I provide a review of relevant literature in support of this goal. In Chapter 2, I present evidence from fNIRS data that early social-cognitive competencies in infancy rely on shared cognitive and neural systems with the explicit theory of mind abilities observed in older children and adults. In Chapter 3, I demonstrate that ERP can be used for measure of a specific aspect of executive functioning in infancy, working memory, and that ERP measures of working memory have longitudinal predictive validity with executive functioning later in childhood. In Chapter 4, I demonstrate that ERP can also be used as infant neurocognitive outcome measures to pinpoint the impact of prenatal exposure to endocrine-disrupting chemicals (EDCs) on specific perceptual and cognitive processes. Taken together, this dissertation provides three compelling examples of how developmental cognitive neuroscience measures can enhance our understanding of cognitive development in infancy. These studies also lay groundwork for future research, offering promising methodologies and measures for exploring various cognitive domains within developing populations.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01","The student, Yiyu Liu, accepted the attached license on 2025-08-17 at 08:59.","The student, Yiyu Liu, submitted this Dissertation for approval on 2025-08-17 at 09:10.","This Dissertation was approved for publication on 2025-08-22 at 09:41.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22761 on 2026-02-19 at 18:45:18"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Early neural signatures of cognitive development"]}]}],"canonical_facts":{"dc:contributor":["Hyde, Daniel C.","Fisher, Cynthia L.","Schantz, Susan L.","Rizzo, Michael T.","Aguiar, Andrea"],"dc:creator":["Liu, Yiyu"],"dc:date":["2025-12","2025-08-22"],"dc:description":["Studying infant cognition is an exciting yet challenging task due to the complexities of assessment in this developing population. Non-verbal behaviors, particularly looking behaviors, have served as important tools in enriching our understanding of infants’ minds. However, interpreting looking behavior in terms of particular cognitive or brain mechanisms presents significant challenges, given the multiple underlying processes involved (Aslin, 2007; Reynolds & Romano, 2016). Alternatively, infant neuroimaging methodologies, particularly functional near-infrared spectroscopy (fNIRS) and event-related potential (ERP), promise to provide additional insight into the mechanisms of cognitive development during the first few years of life. More specifically, these technologies promise increased measurement specificity in terms of the particular perceptual and cognitive processes engaged in a given task. The goal of this dissertation is to explore the potential of using fNIRS and ERP measures in combination with longitudinal data to better understand development across three distinct domains. In Chapter 1, I provide a review of relevant literature in support of this goal. In Chapter 2, I present evidence from fNIRS data that early social-cognitive competencies in infancy rely on shared cognitive and neural systems with the explicit theory of mind abilities observed in older children and adults. In Chapter 3, I demonstrate that ERP can be used for measure of a specific aspect of executive functioning in infancy, working memory, and that ERP measures of working memory have longitudinal predictive validity with executive functioning later in childhood. In Chapter 4, I demonstrate that ERP can also be used as infant neurocognitive outcome measures to pinpoint the impact of prenatal exposure to endocrine-disrupting chemicals (EDCs) on specific perceptual and cognitive processes. Taken together, this dissertation provides three compelling examples of how developmental cognitive neuroscience measures can enhance our understanding of cognitive development in infancy. These studies also lay groundwork for future research, offering promising methodologies and measures for exploring various cognitive domains within developing populations.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01","The student, Yiyu Liu, accepted the attached license on 2025-08-17 at 08:59.","The student, Yiyu Liu, submitted this Dissertation for approval on 2025-08-17 at 09:10.","This Dissertation was approved for publication on 2025-08-22 at 09:41.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22761 on 2026-02-19 at 18:45:18"],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/132615"],"dc:language":["en"],"dc:rights":["Copyright 2025 Yiyu Liu"],"dc:subject":["infant neuroimaging, cognitive development, neural development, fNIRS, ERP"],"dc:title":["Early neural signatures of cognitive development"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:07Z"}