Neuroimaging Biomarkers for Early Detection of Alzheimerʼs Disease – Complete Phd and Masters Thesis

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Table of Contents:

Chapter 1: Introduction
1.1 Background of Study
1.2 Statement of the Problem
1.3 Research Questions
1.4 Objectives of Study
1.5 Significance of Study
1.6 Scope and Limitations of Study

Chapter 2: Literature Review
2.1 Introduction to Alzheimerʼs Disease
2.2 Neuroimaging Biomarkers for Early Detection
2.3 Current Research on Neuroimaging Biomarkers
2.4 Challenges and Limitations in Early Detection
2.5 Importance of Early Detection in Alzheimerʼs Disease

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Comparison with Existing Literature
4.3 Implications of Findings
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Recap of Objectives
5.2 Summary of Findings
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Suggestions for Further Research

Brief Overview:

Alzheimer’s Disease is a neurodegenerative disorder that affects millions of people worldwide. Early detection of the disease is crucial for effective management and treatment. Neuroimaging biomarkers have shown promise in identifying early signs of Alzheimer’s Disease before clinical symptoms manifest.

This thesis aims to explore the use of neuroimaging biomarkers for early detection of Alzheimer’s Disease. The literature review will provide a comprehensive overview of current research on neuroimaging biomarkers and their utility in early detection. The research methodology will outline the approach taken to collect and analyze data related to this topic.

The discussion of findings will present the results of the study and compare them to existing literature. The conclusion will summarize the key findings, implications, and recommendations for future research in this field. Overall, this thesis seeks to contribute to the growing body of knowledge on early detection strategies for Alzheimer’s Disease.

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