Analyzing the neural mechanisms underlying decision-making in interpersonal conflicts – Complete Phd and Masters Thesis

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Introduction

Interpersonal conflicts are inevitable in human interactions, and decision-making plays a crucial role in resolving these conflicts. Understanding the neural mechanisms underlying decision-making in interpersonal conflicts is essential for promoting effective conflict resolution strategies and improving social relationships. This thesis aims to analyze the neural processes involved in decision-making during interpersonal conflicts, with a focus on how these mechanisms influence behavior and outcomes.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Theoretical framework of decision-making
2.2 Neural correlates of decision-making
2.3 Interpersonal conflicts and decision-making
2.4 Effects of emotions on decision-making in conflicts
2.5 Cognitive biases in decision-making
2.6 Cultural influences on decision-making in conflicts
2.7 Gender differences in decision-making
2.8 Neuroimaging studies on decision-making in conflicts
2.9 Conflict resolution strategies
2.10 Summary of literature review

Chapter 3: Research Methodology
3.1 Research design
3.2 Participants
3.3 Procedure
3.4 Measures
3.5 Data analysis
3.6 Ethical considerations
3.7 Validity and reliability
3.8 Limitations of methodology

Chapter 4: Discussion of Findings
4.1 Neural mechanisms underlying decision-making in conflicts
4.2 Impact of emotions on decision-making
4.3 Cognitive biases and their effects on conflicts
4.4 Cultural and gender differences in decision-making
4.5 Comparison of neuroimaging findings
4.6 Implications for conflict resolution strategies
4.7 Practical applications and future research directions

Chapter 5: Conclusion
5.1 Summary of findings
5.2 Contributions to the field
5.3 Limitations and recommendations for future research
5.4 Implications for practice
5.5 Conclusion

Thesis Overview on Analyzing the Neural Mechanisms Underlying Decision-Making in Interpersonal Conflicts

Interpersonal conflicts are a common occurrence in human interactions and can have significant effects on relationships and well-being. Decision-making plays a crucial role in resolving conflicts, as individuals must weigh their options and choose the most appropriate course of action. The neural mechanisms underlying decision-making in conflicts have been a topic of interest in neuroscience and psychology research, as understanding these processes can provide insights into why people make certain choices during conflicts.

This thesis aims to analyze the neural mechanisms involved in decision-making in interpersonal conflicts, with a focus on how these processes influence behavior and outcomes. The study will review existing literature on decision-making, conflict resolution, and neuroimaging studies to provide a comprehensive understanding of the topic. The research methodology will involve neuroimaging techniques, such as fMRI, to examine brain activity during decision-making tasks in conflict scenarios.

The findings of this study are expected to contribute to our understanding of how the brain processes information and makes decisions in conflict situations. By identifying the neural correlates of decision-making in conflicts, this research can inform the development of effective conflict resolution strategies and interventions. The implications of the study will be discussed in relation to theory, practice, and future research directions in the field.

Overall, this thesis seeks to shed light on the complex neural mechanisms underlying decision-making in interpersonal conflicts and their implications for social relationships and well-being. Through a multidisciplinary approach combining neuroscience, psychology, and conflict resolution studies, this research aims to advance our understanding of human behavior in conflict situations.

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