{"id":{"repo_id":"uwo","oai_identifier":"oai:uwo.scholaris.ca:20.500.14721/31740"},"canonical_url":"https://search.dev.ndltd.org/etd/uwo/oai:uwo.scholaris.ca:20.500.14721/31740","repository":{"repo_id":"uwo","name":"Western University","base_url":"https://uwo.scholaris.ca/server/oai/request"},"display":{"title":"Effect of Levodopa on EEG Connectivity in Parkinson's Patients","abstract":"Levodopa is a dopamine replacement medication administered to patients with Parkinson’s disease (PD) to alleviate their motor symptoms. However, its long-term use can cause adverse side effects, including involuntary motor movements. We studied 16 PD patients before and after taking Levodopa based on resting-state electroencephalography (EEG) recordings to determine how Levodopa affects the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they change after subjects take Levodopa. We observed significant changes in the lower alpha band toward a more path-like and less globally efficient network after Levodopa intake. We also observed that changes in multiple network metrics after taking Levodopa correlate with changes in the unified Parkinson’s disease rating scale (UPDRS) scores of PD patients in the lower alpha and beta bands.","abstract_html":"Levodopa is a dopamine replacement medication administered to patients with Parkinson’s disease (PD) to alleviate their motor symptoms. However, its long-term use can cause adverse side effects, including involuntary motor movements. We studied 16 PD patients before and after taking Levodopa based on resting-state electroencephalography (EEG) recordings to determine how Levodopa affects the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they change after subjects take Levodopa. We observed significant changes in the lower alpha band toward a more path-like and less globally efficient network after Levodopa intake. We also observed that changes in multiple network metrics after taking Levodopa correlate with changes in the unified Parkinson’s disease rating scale (UPDRS) scores of PD patients in the lower alpha and beta bands.","abstract_has_math":false,"creators":["Torab Parhiz, Sepehr"],"institution":"The University of Western Ontario","degree_name":"M Eng Sci","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Patel, Rajni V."],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-12-15","date_published":"2021-12-15","updated_at":"2026-07-27T21:55:59Z","subjects":["Resting-state EEG","Graph Analysis","Minimum Spanning Tree","Functional Brain Connectivity","Parkinson's disease","Levodopa"],"languages":["en_ca"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14721/31740","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Patel, Rajni V."]},{"key":"dc:creator","label":"Author","values":["Torab Parhiz, Sepehr"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-07-10T19:21:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-07-10T19:21:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2021-12-15"]},{"key":"dc:publisher","label":"Institution","values":["The University of Western Ontario"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M Eng Sci"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Resting-state EEG","Graph Analysis","Minimum Spanning Tree","Functional Brain Connectivity","Parkinson's disease","Levodopa"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_ca"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14721/31740"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The thesis cover page in the PDF document includes references to Western University’s previous institutional repository platform, known as Scholarship@Western, and links to that platform (beginning with ir.lib.uwo.ca). In citing or referring to this thesis, use the DOI or handle from this page instead. Sample citation: Author name, \"Thesis title.\" (Year). Western University Open Repository. https://doi.org/10.71858/123456."]},{"key":"dc:description.abstract","label":"Abstract","values":["Levodopa is a dopamine replacement medication administered to patients with Parkinson’s disease (PD) to alleviate their motor symptoms. However, its long-term use can cause adverse side effects, including involuntary motor movements. We studied 16 PD patients before and after taking Levodopa based on resting-state electroencephalography (EEG) recordings to determine how Levodopa affects the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they change after subjects take Levodopa. We observed significant changes in the lower alpha band toward a more path-like and less globally efficient network after Levodopa intake. We also observed that changes in multiple network metrics after taking Levodopa correlate with changes in the unified Parkinson’s disease rating scale (UPDRS) scores of PD patients in the lower alpha and beta bands."]},{"key":"dc:title","label":"Title","values":["Effect of Levodopa on EEG Connectivity in Parkinson's Patients"]}]}],"canonical_facts":{"dc:contributor.advisor":["Patel, Rajni V."],"dc:creator":["Torab Parhiz, Sepehr"],"dc:date.accessioned":["2025-07-10T19:21:38Z"],"dc:date.available":["2025-07-10T19:21:38Z"],"dc:date.issued":["2021-12-15"],"dc:description":["The thesis cover page in the PDF document includes references to Western University’s previous institutional repository platform, known as Scholarship@Western, and links to that platform (beginning with ir.lib.uwo.ca). In citing or referring to this thesis, use the DOI or handle from this page instead. Sample citation: Author name, \"Thesis title.\" (Year). Western University Open Repository. https://doi.org/10.71858/123456."],"dc:description.abstract":["Levodopa is a dopamine replacement medication administered to patients with Parkinson’s disease (PD) to alleviate their motor symptoms. However, its long-term use can cause adverse side effects, including involuntary motor movements. We studied 16 PD patients before and after taking Levodopa based on resting-state electroencephalography (EEG) recordings to determine how Levodopa affects the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they change after subjects take Levodopa. We observed significant changes in the lower alpha band toward a more path-like and less globally efficient network after Levodopa intake. We also observed that changes in multiple network metrics after taking Levodopa correlate with changes in the unified Parkinson’s disease rating scale (UPDRS) scores of PD patients in the lower alpha and beta bands."],"dc:identifier.uri":["https://hdl.handle.net/20.500.14721/31740"],"dc:language.iso":["en_ca"],"dc:publisher":["The University of Western Ontario"],"dc:subject":["Resting-state EEG","Graph Analysis","Minimum Spanning Tree","Functional Brain Connectivity","Parkinson's disease","Levodopa"],"dc:title":["Effect of Levodopa on EEG Connectivity in Parkinson's Patients"],"dc:type":["thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["M Eng Sci"]},"updated_at":"2026-07-27T21:55:59Z"}