{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80710"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80710","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"An Investigation of the Relationship Between Structural Disruption and Functional Connectivity in Multiple Sclerosis and Its Effect on Cognition","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Bartnik, Alexander"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Dwyer, Michael","Neuroscience"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T14:37:11Z","date_published":"2019-10-29T14:37:11Z","updated_at":"2026-07-27T19:05:23Z","subjects":["neurosciences","Biostatistics","computer science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80710","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dwyer, Michael","Neuroscience"]},{"key":"dc:creator","label":"Author","values":["Bartnik, Alexander"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T14:37:11Z","2019","2019-08-07 10:19:36"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["neurosciences","Biostatistics","computer science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80710"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","Although previous research has established a link between structural damage and functional reorganization in Multiple Sclerosis, it remains unclear what mediates this link and how it affects people with MS. Using neuroimaging techniques such as MRI and fMRI, it is possible to examine several resting state functional networks to determine whether certain networks of brain activity differ in how they functionally change in response to structural damage brought about by MS. Using a general linear model, we were able to show that there exists a significant relationship between structural and functional connectivity among nine resting state networks. This relationship was strongest among more abstract higher order networks such as the default mode network or the executive control network. Changes in functional connectivity may also help explain the concept of cognitive reserve in MS, where some people show less cognitive dysfunction despite a similar amount of white and grey matter atrophy. We again used a general linear model to measure the interaction between structural and functional connectivity as it pertains to cognitive processing speed, and found that preservation of functional connectivity helps moderate cognitive reserve in people with MS."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["An Investigation of the Relationship Between Structural Disruption and Functional Connectivity in Multiple Sclerosis and Its Effect on Cognition"]}]}],"canonical_facts":{"dc:contributor":["Dwyer, Michael","Neuroscience"],"dc:creator":["Bartnik, Alexander"],"dc:date":["2019-10-29T14:37:11Z","2019","2019-08-07 10:19:36"],"dc:description":["M.S.","Although previous research has established a link between structural damage and functional reorganization in Multiple Sclerosis, it remains unclear what mediates this link and how it affects people with MS. Using neuroimaging techniques such as MRI and fMRI, it is possible to examine several resting state functional networks to determine whether certain networks of brain activity differ in how they functionally change in response to structural damage brought about by MS. Using a general linear model, we were able to show that there exists a significant relationship between structural and functional connectivity among nine resting state networks. This relationship was strongest among more abstract higher order networks such as the default mode network or the executive control network. Changes in functional connectivity may also help explain the concept of cognitive reserve in MS, where some people show less cognitive dysfunction despite a similar amount of white and grey matter atrophy. We again used a general linear model to measure the interaction between structural and functional connectivity as it pertains to cognitive processing speed, and found that preservation of functional connectivity helps moderate cognitive reserve in people with MS."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80710"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["neurosciences","Biostatistics","computer science"],"dc:title":["An Investigation of the Relationship Between Structural Disruption and Functional Connectivity in Multiple Sclerosis and Its Effect on Cognition"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:23Z"}