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dc.contributor.advisor 최지웅 -
dc.contributor.author Seongtak Kang -
dc.date.accessioned 2023-09-18T21:00:48Z -
dc.date.available 2023-09-18T21:00:48Z -
dc.date.issued 2023 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46407 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000684307 -
dc.description Parkinson's disease; Levodopa-induced dyskinesia; Biomarker; Dopamine; Serotonin; Fast-scan cyclic voltammetry; Temporal resolution; Fluorescence sensor -
dc.description.tableofcontents 1. Introduction 1
2. Closed-Loop Neuromodulation for Parkinson’s Disease: Current State and Future Directions 5
2.1 Introduction 5
2.2 Mechanisms of Neuromodulation 7
2.2.1 Effects of L-DOPA in the brain 7
2.2.2 Effects of DBS in the brain 10
2.3 Neuromodulation Control Paradigm 13
2.3.1 Control paradigm 13
2.3.2 Biomarkers 15
2.3.3 Stimulation algorithms 20
2.4 Future Directions 24
2.5 Conclusion 30
3. Development of Tonic Dopamine Measurement Method 32
3.1 Introduction of Tonic Dopamine Measurement Techniques 32
3.2 Genetically Encoded Fluorescent Dopamine Sensor 34
3.2.1 Introduction of Fluorescent Sensor 34
3.2.2 ICoRD: Iterative Correlation-based ROI Detection Method 35
3.2.3 Microfluidic System for Investigating Anticipatory Medication Effects on Dopamine Homeostasis in Dopaminergic Cells 58
3.3 Fast-scan cyclic voltammetry (FSCV) 72
3.3.1 Introduction of FSCV 72
3.3.2 Second Derivative-based Background Drift Removal (SDBR) for Tonic Dopamine Measurement in FSCV 73
4. Advanced FSCV for Prolonged Measurement of Tonic Dopamine: Implications for Pharmacokinetic Analysis of LevodopaInduced Dyskinesia 90
4.1 Introduction 91
4.2 Results 93
4.3 Discussion 102
4.4 Methods 109
5. Dopamine-related Biomarkers for PD 114
5.1 Relationship between Striatal Tonic Dopamine and Firing Activity of the Subthalamic Nucleus in PD 114
5.1.1 Introduction 114
5.1.2 Method 115
5.1.3 Result and Discussion 118
5.1.4 Conclusion 121
5.2 Simultaneous Estimation of Tonic Dopamine and Serotonin with High Temporal Resolution In Vitro Using Deep Learning 121
5.2.1 Introduction 122
5.2.2 Methods 124
5.2.3 Results and Discussion 126
5.2.4 Conclusion 129
6. Conclusion 130
References 133
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dc.format.extent 173 -
dc.language eng -
dc.publisher DGIST -
dc.title Development of Advanced Neurotransmitter Measurement Methods and Biomarker Identification for a Comprehensive Understanding of Parkinson's Disease -
dc.type Thesis -
dc.identifier.doi 10.22677/THESIS.200000684307 -
dc.description.degree Doctor -
dc.contributor.department Department of Electrical Engineering and Computer Science -
dc.contributor.coadvisor Yong-Seok Oh -
dc.date.awarded 2023-08-01 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.ID 강54 202308 -
dc.date.accepted 2023-09-14 -
dc.contributor.alternativeDepartment 전기전자컴퓨터공학과 -
dc.subject.keyword Parkinson's disease -
dc.subject.keyword Levodopa-induced dyskinesia -
dc.subject.keyword Biomarker -
dc.subject.keyword Dopamine -
dc.subject.keyword Serotonin -
dc.subject.keyword Fast-scan cyclic voltammetry -
dc.subject.keyword Temporal resolution -
dc.subject.keyword Fluorescence sensor -
dc.contributor.affiliatedAuthor Seongtak Kang -
dc.contributor.affiliatedAuthor Ji-Woong Choi -
dc.contributor.affiliatedAuthor Yong-Seok Oh -
dc.contributor.alternativeName 강성탁 -
dc.contributor.alternativeName Ji-Woong Choi -
dc.contributor.alternativeName 오용석 -
dc.rights.embargoReleaseDate 2026-08-31 -
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