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dc.contributor.authorMcLeod, Sarah Christine
dc.date.accessioned2017-08-21T17:30:09Z
dc.date.available2017-08-21T17:30:09Z
dc.identifier.urihttp://hdl.handle.net/10222/73129
dc.description.abstractIntroduction: Functional neuroimaging plays a key role in pre-surgical planning and improving surgical outcomes. My team has developed ROCr (Receiver Operating Characteristic reliability) - a tool to assess intra-session reliability of functional neuroimaging data. Objective: Investigate ROCr as a tool for automated, patient-specific analysis. Methods: Ten subjects underwent three MEG (magnetoencephalography) imaging sessions of right MNS (median nerve stimulation). Twelve pipelines were used to produce activation maps for each dataset, and ROCr was used to assess the reliability of these maps. Various tests were done on the results to assess ROCr. Results and Discussion: Within subjects, the pipeline with the highest reliability varied across days, likely because the inter-session data variance was larger than assumed. Using the pipeline with highest reliability resulted in lower inter-session variability. Further analysis of the outcome measures gave new insight into how to improve use of ROCr in future studies and clinical applications.en_US
dc.language.isoenen_US
dc.subjectMagnetoencephalographyen_US
dc.subjectPre-surgical planningen_US
dc.subjectFunctional neuroimagingen_US
dc.titleINVESTIGATING RELIABILITY AS A TOOL FOR PATIENT-SPECIFIC PIPELINE SELECTIONen_US
dc.date.defence2017-07-25
dc.contributor.departmentDepartment of Biomedical Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Rob Adamsonen_US
dc.contributor.thesis-readerDr. Aaron Newmanen_US
dc.contributor.thesis-readerDr. Rob Adamsonen_US
dc.contributor.thesis-supervisorDr. Tim Bardouilleen_US
dc.contributor.thesis-supervisorDr. Steven Beyeaen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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