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Im Werk suchen
Decoding the functional reorganization of the aging brain / by Christian Johannes Gölz ; [Principle supervisor: Dr. Solveig Vieluf, Secondary supervisor: Prof. Dr. Dr. Claus Reinsberger]. Paderborn, 2024
Inhalt
Abstract
Zusammenfassung
List of Publications Included in This Thesis
List of Other Scientific Contributions
List of Figures
List of Tables
List of Abbreviations
General Introduction
Motivation
Outline
Aging
Age-related Reorganization of the Brain
Studying Brain Aging by Electroencephalography
Machine learning
Forms of Machine Learning
State-of-the-Art Approaches to Analyze Electroencephalographic Data
Applications in the Context of Aging Research
Aims and Scope
General Methodology
Datasets
Dataset I
Dataset II
Dataset III
Electroencephalography: Recording and Preprocessing
Machine Learning Procedures
Dimensionality Reduction
Classification
Summary of the Main Results
Research Article I
Research Article II
Research Article III
Research Article IV
General Discussion
Detecting the Dedifferentiation of the Aging Brain
The Impact of Lifestyle Factors on Age-Related Brain Reorganization
Exploratory Insights into Age-Related Brain Reorganization
Methodological Considerations
Datasets
Machine Learning Approaches
Outlook and Practical Implications
Conclusion
References
Published Research Articles
Published Research Article I
Published Research Article II
Published Research Article III
Published Research Article IV
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