Predicting emergence of levodopa induced dyskinesia in parkinson’s disease by a brain imaging based biomarker.

Simple item page
dc.contributor.authorAljuaid, Maram
dc.contributor.examiningcommitteeMarzban, Hassan (Human Anatomy and Cell Science) Bergen, Hugo (Human Anatomy and Cell Science) Figley, Chase (Radiology)en_US
dc.contributor.supervisorKo, Ji Hyun (Human Anatomy and Cell Science)en_US
dc.date.accessioned2017-09-05T13:37:40Z
dc.date.available2017-09-05T13:37:40Z
dc.date.issued2017
dc.degree.disciplineHuman Anatomy and Cell Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe forefront treatment of Parkinson’s disease (PD) is levodopa. Previously, it has been reported that cerebral blood flow is increased while neuronal activity is decreased in key subcortical regions including the putamen when patients are treated with levodopa. This may be associated with levodopa-induced dyskinesia (LID). To study the effect of clinically-determined anti-parkinsonian medication, ten PD patients (5 with LID and 5 without LID) have been scanned with [18F]-fluorodeoxyglucose PET (FDG-PET) and perfusion MRI (pMRI) when they are ON and OFF medication. Regions of interest were defined and mean values were calculated. A significant interaction effect has been found in the putamen (p=0.023). This dissociation was especially predominant in patients with LID compared to the ones without. We proposed a novel analytical method to quantify the degree of dissociation in the putamen, Putamen-to-thalamus Hyperperfusion/hypometabolism Index (PHI), which may have potential to be used as a biomarker for LID.en_US
dc.description.noteOctober 2017en_US
dc.identifier.urihttp://hdl.handle.net/1993/32417
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectcerebral blood flowen_US
dc.subjectglucose metabolismen_US
dc.subjectmagnetic resonance imagingen_US
dc.subjectneurovascular coupling hypothesisen_US
dc.subjectpositron emission tomographyen_US
dc.titlePredicting emergence of levodopa induced dyskinesia in parkinson’s disease by a brain imaging based biomarker.en_US
dc.typemaster thesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Aljuaid, MAram. MSc..pdf
Size:
1.64 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.2 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
FGS - Electronic Theses and Practica