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Introduction:

Decision making under uncertainty is a complex cognitive process that involves weighing potential outcomes and risks in order to make optimal choices. In recent years, researchers have begun to investigate the neural mechanisms that underlie this process, in an effort to better understand how the brain processes information and makes decisions in uncertain environments.

Background of study:

The study of decision making under uncertainty has a long history in psychology and economics, but recent advances in neuroscience have shed new light on the neural basis of this phenomenon. By using techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), researchers have been able to identify specific brain regions and networks that are involved in decision making under uncertainty.

Problem Statement:

Despite these advancements, many questions remain unanswered about how the brain processes uncertainty and makes decisions. For example, it is still unclear how different types of uncertainty (e.g. risk, ambiguity) are represented in the brain, and how individual differences in decision making strategies may be related to variations in neural activity.

Objective of study:

The primary objective of this thesis is to review and synthesize the current literature on the neural basis of decision making under uncertainty, in order to identify gaps in our understanding and propose directions for future research.

Limitation of study:

It is important to note that this thesis will focus primarily on neuroimaging studies of decision making under uncertainty, and will not include a comprehensive review of behavioral or computational research in this area.

Scope of study:

The scope of this thesis will be limited to human studies of decision making under uncertainty, with a focus on neuroimaging techniques. Animal studies and computational models of decision making will not be included in the review.

Significance of study:

By better understanding the neural basis of decision making under uncertainty, we may be able to develop more targeted interventions for individuals with decision making deficits, such as those with neurological disorders or addiction.

Structure of the Thesis:

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 Neural basis of decision making
2.2 Uncertainty in decision making
2.3 Risk and ambiguity
2.4 Individual differences in decision making
2.5 Neuroimaging techniques
2.6 Brain regions involved in decision making
2.7 Neural networks underlying decision making
2.8 Developmental aspects of decision making
2.9 Clinical implications
2.10 Gaps in current knowledge

Chapter 3: Research Methodology
3.1 Selection criteria for studies
3.2 Data extraction and synthesis
3.3 Analysis of findings
3.4 Limitations of methodology
3.5 Future directions for research
3.6 Ethical considerations
3.7 Collaboration with other disciplines
3.8 Reproducibility of results

Chapter 4: Discussion of Findings
4.1 Overview of key findings
4.2 Implications for theory and practice
4.3 Comparisons with previous studies
4.4 Potential biases in the literature
4.5 Suggestions for further research
4.6 Integration with other research areas
4.7 Practical applications
4.8 Limitations of current knowledge

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Future directions for research
5.4 Practical implications
5.5 Concluding remarks

Thesis Overview on Neural basis of decision making under uncertainty:

Decision making under uncertainty is a complex cognitive process that involves weighing potential outcomes and risks in order to make optimal choices. In recent years, research on the neural basis of decision making has progressed significantly thanks to neuroimaging techniques. This thesis aims to review and synthesize the current literature on the neural mechanisms involved in decision making under uncertainty, with a focus on human studies using neuroimaging methods.

The Literature Review chapter will explore topics such as the neural basis of decision making, different types of uncertainty, individual differences in decision making, and the clinical implications of understanding these processes. The Research Methodology chapter will detail the criteria for selecting studies, data extraction methods, and the analysis of findings. The Discussion of Findings chapter will summarize key findings, discuss implications for theory and practice, and suggest areas for further research. The Conclusion and Summary chapter will provide a comprehensive overview of the thesis, highlighting contributions to the field and offering practical implications for future research and interventions.

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