Neural signatures of higher cognitive functions using EEG/MEG – Complete Phd and Masters Thesis

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Introduction:

In recent years, there has been a growing interest in understanding the neural signatures of higher cognitive functions using electroencephalography (EEG) and magnetoencephalography (MEG) techniques. These non-invasive neuroimaging methods allow researchers to study the neural dynamics of the brain in real time with high temporal resolution. By investigating the brain activity associated with higher cognitive functions such as attention, memory, decision-making, and problem-solving, researchers can gain valuable insights into the underlying neural mechanisms of complex cognitive processes.

This thesis aims to provide a comprehensive overview of the current research on neural signatures of higher cognitive functions using EEG/MEG. The research will focus on how EEG and MEG can be used to study various aspects of higher cognitive functions and contribute to our understanding of the neural basis of cognition. By synthesizing the existing literature and presenting new findings from empirical studies, this thesis seeks to advance our knowledge of the neural correlates of higher cognitive functions and their implications for cognitive neuroscience.

Table of Contents:

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 Overview of EEG and MEG techniques
2.2 Neural correlates of attention
2.3 Neural correlates of memory
2.4 Neural correlates of decision-making
2.5 Neural correlates of problem-solving
2.6 EEG/MEG studies on cognitive functions in healthy individuals
2.7 EEG/MEG studies on cognitive impairments
2.8 Methodological considerations in EEG/MEG research
2.9 Future directions in EEG/MEG research
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research design
3.2 Participants
3.3 EEG/MEG data acquisition
3.4 Data preprocessing
3.5 Data analysis
3.6 Statistical methods
3.7 Ethical considerations
3.8 Validity and reliability
3.9 Assumptions
3.10 Limitations

Chapter 4: Discussion of Findings
4.1 Neural signatures of attention
4.2 Neural signatures of memory
4.3 Neural signatures of decision-making
4.4 Neural signatures of problem-solving
4.5 Implications for cognitive neuroscience
4.6 Comparison with existing literature
4.7 Strengths and limitations of the study
4.8 Future research directions
4.9 Conclusion

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

In summary, this thesis will provide a comprehensive overview of the neural signatures of higher cognitive functions using EEG/MEG techniques. By reviewing the existing literature, conducting empirical studies, and discussing the implications of the findings, this research aims to advance our understanding of the neural basis of complex cognitive processes.

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