Title

Development of Advanced Neurotransmitter Measurement Methods and Biomarker Identification for a Comprehensive Understanding of Parkinson's Disease

DGIST Authors

Seongtak Kang ; Ji-Woong Choi ; Yong-Seok Oh

Advisor

최지웅

Co-Advisor(s)

Yong-Seok Oh

Issued Date

2023

Awarded Date

2023-08-01

Citation

Seongtak Kang. (2023). Development of Advanced Neurotransmitter Measurement Methods and Biomarker Identification for a Comprehensive Understanding of Parkinson’s Disease. doi: 10.22677/THESIS.200000684307

Type

Thesis

Description

Parkinson's disease; Levodopa-induced dyskinesia; Biomarker; Dopamine; Serotonin; Fast-scan cyclic voltammetry; Temporal resolution; Fluorescence sensor

Table Of Contents

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

URI

http://hdl.handle.net/20.500.11750/46407
http://dgist.dcollection.net/common/orgView/200000684307

DOI

10.22677/THESIS.200000684307

Degree

Doctor

Department

Department of Electrical Engineering and Computer Science

Publisher

DGIST

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