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研究生：	奈亞 Nayak, Siddharth
論文名稱：	使用腦電波訊號和功能性腦影像去探索抑制反應作業下認知及情感間的相互作用 Exploring the cognitive - emotional interactions from response inhibition tasks using electroencephalography and functional neuroimaging
指導教授：	蔡志鑫 Tsai, Chih-Hsin Arthur
共同指導:	蕭富仁 Shaw, Fu-Zen
學位類別：	博士 Doctor
系所名稱：	醫學院 - 跨領域神經科學國際博士學位學程 TIGP on The Interdisciplinary Neuroscience
論文出版年：	2020
畢業學年度：	108
語文別：	英文
論文頁數：	113
外文關鍵詞：	EEG, ERP, ERSP, fMRI, Aging, Fronto-striatal
相關次數：	點閱：103 下載：0
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Cognitive control helps us in implementing goal directed decision making which in turn shape the environment we live in. A key aspect of cognitive control is response inhibition. Response inhibition is defined by the ability of individuals to suppress a pre-potent motor response when it becomes irrelevant to the task at hand. In addition to playing a crucial in top-down goal directed processes like response inhibition, cognitive control also shapes bottom up processes like emotion recognition. This has given birth to the term “cognitive – emotional interactions”, wherein top-down cognitive processes interact with bottom up emotional processes. In the last decade, research on emotional inhibition has grown significantly. However, most studies do not study emotions in a task relevant setting, which is where the subject needs to make a response after recognition of the emotional stimulus. In this thesis, I will try to tease apart the neural processes involved in emotional inhibition (where emotions are task relevant) using electroencephalography (EEG) and functional neuroimaging (fMRI) tools in young and old adults. Most EEG studies focus on delta and theta power in the mid-frontal cortex in the frequency domain to understand response inhibition processes. The time domain event related potentials (ERPs) associated with response inhibition processes are N1, N2 and P3 components. Functional neuroimaging research on response inhibition has mostly focused on fronto-striatal- basal ganglia networks. While EEG and fMRI tools have been hugely successful at identifying biomarkers for inhibition, unfortunately the same can’t be said about emotional inhibition. To solve this barrier in existing research, I designed simple emotional decision making tasks using emotional faces from Taiwanese Face database. The EEG results identify delta and theta power in midline frontal regions as well as N2 and P3 ERP components being for successful emotional inhibition relative to neutral context. The fMRI results suggest a possible role of fronto-striatal networks in successful emotional modulation of response inhibition relative to neutral context in older adults relative to their younger counterparts. I will discuss the fMRI results in terms of compensation effect of aging. Unfortunately, EEG data collected didn’t involve older adults. So, I will discuss the implication of EEG findings in younger adults focusing on neural processes in time and frequency domain. The results of this thesis will look to address the current drawbacks in emotional inhibition literature by focusing on younger and older adults implying possible future extensions to psychological disorders like ADHD and GAD.

Table of Contents                      
Abstract ……………………………………………………….…….. I
Acknowledgement ………………………………………………..II
Table contents …………………………………………….…VII
Figure contents ……………………………………...... VIII
Chapter 1 General Introduction ……………....1
1 Response inhibition and emotional inhibition ……...1
2 EEG studies on response inhibition………………………2
3 fMRI studies on response inhibition………………….2
4 Task-relevant versus task-irrelevant emotions……………2
5 Thesis aims and hypotheses……………………………………3
6 Significance of this study……………………….3
Chapter 2 Mid-Frontal Theta Modulates Response Inhibition and Decision Making Processes under Emotional Context
1 Introduction…………………………………………5
2 Aims and hypotheses……………………………….…………6
3 Materials and Methods………………………………………....7
3.1 Participants…………………………….......7
3.2 Experimental design………………………………7
4 Recording and Analysis……………………………8
4.1 EEG recording……………………………….....8
4.2 EEG analysis…………………………………………....9
4.3 Group level Event-Related Spectral Perturbation (ERSP)…………………………......9
4.4 Single trial ERSP………………………………...10
4.5 Hierarchical Drift Diffusion Model (HDDM) Analysis…10
5 Results……………………………………………..11
5.1 Behavioral Analysis……………………………...…………11
5.2 Group level ERSP Results across Conditions…….12
5.2.1 Stimulus-Locked ERSPs…………………………..12
5.2.2 Response-Locked ERSPs…………………………………….12
5.3 Exploring Trial-by-Trial Analysis of Correct Go Trials for Happy, Disgust and Neutral Conditions…………………..13
5.4 Drift Diffusion Modeling with Behavioral Data…….13
5.5 Exploring Trial-by-Trial Regression Analysis of ERSP Data with HDDM Parameters
5.5.1 Stimulus-Locked Trials……………………………14
5.5.2 Response-Locked Trials……………………...15
6 Discussion……………………………..15
7 Summary………………………………………………....17
8 Tables and Figures…………………………....18

Chapter 3 Do emotional faces modulate response inhibition? Preliminary findings from ERP and ERSP analyses
1 Introduction…………………………………………………...23
2 Aims and hypotheses……………………………………….24
3 Materials and Methods………………………..24
3.1 Participants…………………………………………24
3.2 Experimental design…………………………..25
3.3 Data analyses………………………………………………….25
3.3.1 EEG recording…………………………………….……….25
3.3.2 EEG Analysis……………………………………………...26
3.3.3 Statistical analysis………………………………………26
4 Results……………………………………………………...27
4.1 Behavioral findings…………………………....27
4.2 ERP results…………………………………………….28
4.2.1 ERP time-locked to stop signal presentation…..28
4.2.2 ERP time-locked to motor response……………………29 
4.3 ERSP results…………………………………………………..29
4.3.1 Early time window………………………………...29 
4.3.2 Pre-response time window………………………………30
4.3.2 Post-response time window………………………..31
5 Discussion………………………………………………………..31
5.1 Perceptual processing: ERP…………………………...31
5.2 Perceptual processing: ERSP…………………….32
5.3 Inhibitory processing: ERP…………………33
5.4 Inhibitory processing: ERSP………………………..…34
5.5 Late response window: ERSP…………..…….34
5.6 General discussion…………………...…….35
6 Summary…………………………………………………36
7 Tables and Figures…………………………….....36

Chapter 4 Mapping functional brain networks in emotional stop signal task – A perspective on aging
1 Introduction……………………………………………...41
2 Aims and hypotheses……………………………….42
3 Materials and Methods…………………………..42
3.1 Participants………………………………………….42
3.2 Experiment design………………………………………….43
3.3 Imaging Protocol………………………………………………43
3.4 Spatial Preprocessing…………….44
3.5 Seed-to-voxel functional connectivity analyses……44
3.6 Brain-behavior analysis………………………….45
4 Results…………………………………………...45
4.1 Behavioral results…………………………………………..45
4.2 General linear model analyses………………………….…45
4.2.1 Effect of successful inhibition relative to going across groups….………………...45
4.2.2 Effect of successful inhibition relative to failed inhibition across groups..……….46
4.2.3 Effect of disgust relative to neutral inhibition across groups…...…………………46
4.2.4 Effect of disgust relative to neutral Go across groups….………………………….46
4.2.5 Effect of failed stopping relative to successful Go across groups………………....46
4.3 Functional connectivity results………………………..46
4.3.1 Successful Stop > Successful Go…..…………..46
4.3.2 Successful Stop > Failed Stop………..………….47
4.3.3 All Stop (Disgust > Neutral)………………47
4.3.4 Successful Go (Disgust > Neutral)………….47
4.3.5 Failed Stop > Successful Go……………………………48
4.4 Brain – behavior correlations……………………………48
5 Discussion…….48
5.1 General Discussion……………………………52
6 Limitations of the current study and future recommendations………………………….53
7 Summary………………………………………54
8 Tables and Figures……………………………...54

Chapter 5 Establishing the role of mid-frontal theta in emotional inhibition
1 Introduction……………………………………………66
2 Aims and hypotheses……………………………………………66
3 Materials and Methods………………………………………67
3.1 Participants……………………………………………………67
3.2 Experimental design…………………………………….67
3.3 Data analyses…………………………………………………67
3.3.1 EEG recording………………………………………………67
3.3.2 EEG data analysis………………………………………67
3.3.3 Statistical analysis………………………………………68
3.3.4 HDDM analysis………………………………………69
4 Results………………………………………………69
4.1 Behavioral results…………………………………69
4.2 ERP results……………………………………………………69
4.2.1 Disgust ESSP block…………………………………………69 
4.2.2 Happy ESSP block…………………………………………70
4.3 ERSP results……………………………………71
4.3.1 Disgust ESSP block…………………………………………71
4.3.2 Happy ESSP block………………………………………72 
4.4 HDDM results………………………………………………74
5 Discussion………………………………………………74
6 Summary…………………………………………75
6 Future work………………………………………………76
7 Tables and Figures………….……76

Chapter 6 Effective connectivity delineates putative roles for cortical regions in emotional inhibition 
1 Introduction……………………….84 
2 Aims and hypotheses……………………………………………85
3 Materials and Methods…………………………………….85
3.1 Participants………………………………………………85
3.2 Experiment design and preprocessing…………………86
3.3 First level (within-subject) analysis…………………87
3.4 Region of interest analyses………………………………87
3.5 Volumes of interest and time series extraction……87
3.6 Dynamic causal modeling……………………………………87
3.7 PEB Model……………..…………………88
3.8 Bayesian Model Comparison……………………………88
4 Results……………………………………………89
4.1 Behavioral results…………………….89
4.2 PEB based Bayesian Model Comparison ...………………89
4.3 Family-wise analysis based on PEB framework…………89
5 Discussion……………………………………91
6 Future work……………………………………………93   
7 Summary……………………………………………..……………93
8 Tables and Figures………………………………..94

Chapter 7 Conclusions…………………………………98

Chapter 8 References…………………………………102

Appendix A…………………………………………………………112
                                    

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