This thesis gives an overview on how to estimate changes in functional brain networks using graph theoretical measures. It explains the assessment and definition of functional brain networks derived from fMRI data. More explicitly, this thesis provides examples and newly developed methods on the measurement and visualization of changes due to pathology, external electrical stimulation or ongoing internal thought processes. These changes can occur on long as well as on short time scales and might be a key to understanding brain pathologies and their development. Furthermore, this thesis describes new methods to investigate and visualize these changes on both time scales and provides a more complete picture of the brain as a dynamic and constantly changing network.:1 Introduction
1.1 General Introduction
1.2 Functional Magnetic Resonance Imaging
1.3 Resting-state fMRI
1.4 Brain Networks and Graph Theory
1.5 White-Matter Lesions and Small Vessel Disease
1.6 Transcranial Direct Current Stimulation
1.7 Dynamic Functional Connectivity
2 Publications
2.1 Resting developments: a review of fMRI post-processing methodologies for
spontaneous brain activity
2.2 Early small vessel disease affects fronto-parietal and cerebellar hubs in close
correlation with clinical symptoms - A resting-state fMRI study
2.3 Dynamic modulation of intrinsic functional connectivity by transcranial direct current stimulation
2.4 Three-dimensional mean-shift edge bundling for the visualization of functional
connectivity in the brain
2.5 Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI
3 Summary
4 Bibliography
5. Appendix
5.1 Erklärung über die eigenständige Abfassung der Arbeit
5.2 Curriculum vitae
5.3 Publications
5.4 Acknowledgements
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:13280 |
| Date | 26 March 2015 |
| Creators | Schäfer, Alexander |
| Contributors | Villringer, Arno, Margulies, Daniel, Hoffmann, Karl-Titus, Blankenburg, Felix, Max-Planck-Institut für Kognitions- und Neurowissenschaften |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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