Parcellation of Human Inferior Parietal Lobule Based on Diffusion MRI and Resting State Functional MRI

Simple item page
dc.contributor.advisorShapiro, Linda Gen_US
dc.contributor.authorGui, Zhiqianen_US
dc.date.accessioned2014-04-30T16:24:02Z
dc.date.available2014-04-30T16:24:02Z
dc.date.issued2014-04-30
dc.date.submitted2014en_US
dc.descriptionThesis (Ph.D.)--University of Washington, 2014en_US
dc.description.abstractThis thesis describes the parcellation of the human inferior parietal lobule (IPL) based on diffusion MRI and resting state functional MRI. It also describes the in-depth analysis of the dynamic functional networks associated with different areas of the IPL and how to use the dynamic functional networks to parcellate IPL voxels. Although the IPL voxel parcellation was not successful, we made some novel discoveries about voxel-level functional behavior patterns.en_US
dc.embargo.termsNo embargoen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.otherGui_washington_0250E_12835.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/25478
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectclustering; factor analysis; functional networks; IPL; machine learning; parcellationen_US
dc.subject.otherElectrical engineeringen_US
dc.subject.otherNeurosciencesen_US
dc.subject.otherStatisticsen_US
dc.subject.otherelectrical engineeringen_US
dc.titleParcellation of Human Inferior Parietal Lobule Based on Diffusion MRI and Resting State Functional MRIen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Gui_washington_0250E_12835.pdf
Size:
2.92 MB
Format:
Adobe Portable Document Format
Download

Collections

Electrical engineering