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

Title
Development of Advanced Neurotransmitter Measurement Methods and Biomarker Identification for a Comprehensive Understanding of Parkinson's Disease
Author(s)
Seongtak Kang
DGIST Authors
Seongtak KangJi-Woong ChoiYong-Seok Oh
Advisor
최지웅
Co-Advisor(s)
Yong-Seok Oh
Issued Date
2023
Awarded Date
2023-08-01
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
Related Researcher
  • 최지웅 Choi, Ji-Woong
  • Research Interests Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
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