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A nonlinear mixed model analysis of variability in motor learning of patients with Parkinson's disease : 비선형 혼합모형을 활용한 파킨슨병 환자의 운동학습 내 가변성 관찰 연구구

DC Field Value Language
dc.contributor.advisor김청택-
dc.contributor.author오진석-
dc.date.accessioned2017-10-31T08:30:55Z-
dc.date.available2017-10-31T08:30:55Z-
dc.date.issued2017-08-
dc.identifier.other000000145267-
dc.identifier.urihttps://hdl.handle.net/10371/138056-
dc.description학위논문 (석사)-- 서울대학교 대학원 인문대학 협동과정 인지과학전공, 2017. 8. 김청택.-
dc.description.abstractIn this study, patients with mild Parkinsons disease (PD) who were regularly medicated were tested on a new motor learning task. The study examined if PD patients successfully learn a new motor learning task. Also, the study observed if PD patients show different patterns of learning compared to healthy individuals in performing a redundant task. The result demonstrated that PD patients could learn a new motor skill, but they were slow in finding the solution of the task. The patients also were not as good as normal individuals in reducing the variability of their movements.-
dc.description.tableofcontentsIntroduction 1
Methods 5
1. Participants 5
2. Task and Apparatus 6
3. Experimental Procedure 10
4. Clinical Diagnosis of PD 11
1) The diagnosis criteria for Parkinsons Disease 11
2) UPDRS 11
3) HY-Stage 11
4) K-MMSE 12
5. Dependent Measures 12
1) Performance error 12
2) Release velocity 12
3) Tolerance cost, Noise cost and Covariation cost 13
6. Statistical Analysis 18
Results 20
1. Overall performance error 20
1) Elementary analysis 20
2) Model fitting 22
2. Release velocity 26
1) Elementary analysis 26
2) Model fitting 27
3. Quantified Tolerance, Noise, and Covariation costs 30
1) Elementary analysis 30
2) Model fitting: Tolerance cost 31
3) Model fitting: Noise cost 34
4) Model fitting: Covariation cost 36
Discussion 38
References 52
Appendix A. Clinical Measures 57
Appendix B. Basic nonlinear mixed model fitting procedure 57
Appendix C. Summaries of the models used in the study 63		-
dc.formatapplication/pdf-
dc.format.extent2274074 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectParkinson’s disease-
dc.subjectmotor skill learning-
dc.subjectTNC-cost analysis-
dc.subjectredundancy-
dc.subjectvariability in movement-
dc.subjectnonlinear mixed model-
dc.subject.ddc153-
dc.titleA nonlinear mixed model analysis of variability in motor learning of patients with Parkinson's disease-
dc.title.alternative비선형 혼합모형을 활용한 파킨슨병 환자의 운동학습 내 가변성 관찰 연구구-
dc.typeThesis-
dc.description.degreeMaster-
dc.contributor.affiliation인문대학 협동과정 인지과학전공-
dc.date.awarded2017-08-
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