The Utility of Objective Assessment Technologies in Parkinson’s Disease

dc.contributor.authorGaprielian, Paulineen
dc.contributor.departmentNeuroscience Studiesen
dc.contributor.supervisorLevy, Ron
dc.date.accessioned2022-08-30T22:12:25Z
dc.date.available2022-08-30T22:12:25Z
dc.degree.grantorQueen's University at Kingstonen
dc.description.abstractParkinson’s Disease (PD) is the second most common neurodegenerative disorder worldwide and is characterized by the heterogeneous representation of bradykinesia, rigidity, tremor, and postural instability. Patients with PD also experience non-motor complications like autonomic, behavioral/mood and cognitive dysfunction. Treatments for PD include dopamine replacement therapies (DRTs) and deep brain stimulation (DBS). Currently, the assessment and progression of these signs and symptoms and effects of treatment are assessed by clinical scales like the Movement Disorder’s Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). However, clinical scale assessment is limited by their use of coarse categorical variables and subjective nature creating issues with inter-rater and intra-rater reliability. In addition, clinicians often rely on patient interviews to assess cognitive status. Technologies that assess a spectrum of PD signs and symptoms have the potential to complement the current clinical assessment of PD by providing objective measures free from clinical bias. However, many available objective assessment technologies focus on the quantification of a single sign or symptom of PD and oversimplify the complexity of the disease. In this project I tested the utility of the Kinarm robotic platform and a movement tracking touchscreen in the assessment of PD motor and non-motor signs and symptoms. First, I explored the Kinarm robot’s ability to quantify bradykinesia, rigidity and postural instability and generate cumulative motor scores to determine the effects of DRTs and STN-DBS. Next, I used a reverse reaching task to simultaneously assess the motor and cognitive effects of STN-DBS. I converted this task onto a movement tracking touchscreen to allow for portable assessment. Then, I tested if the reverse reaching task could be used to confirm electrode localization in the STN. Finally, I tracked the longitudinal assessment of PD motor symptoms over time. Both technologies were shown to quantify bradykinesia, loss of response inhibition and treatment with DRTs. The Kinarm robot was also able to quantify rigidity, postural instability, the effects of DBS electrode implantation and the effects of DBS of the subthalamic nucleus. In sum, these technologies can aid in the titration of PD treatments and provide clinically relevant information regarding patient disease profiles.en
dc.description.degreePhDen
dc.identifier.urihttp://hdl.handle.net/1974/30338
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectParkinson's Diseaseen
dc.subjectRobotic Assessmenten
dc.subjectKinarmen
dc.titleThe Utility of Objective Assessment Technologies in Parkinson’s Diseaseen
dc.typethesisen
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