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Functional Connectivity in Depressive Disorder Using Functional Magnetic
Resonance Imaging Data in Auditory Stimulation Mode

Asgharian, Zeynab | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56295 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fatemizadeh, Emadeddin
  7. Abstract:
  8. Evidence shows that people with depressive disorder show altered functional connectivity in some of the parts of the brain. The functional characteristics of these brain areas in people with this disorder have not been completely determined. On the other hand, some researchers have rejected the static nature of functional connectivity and stated that functional connectivity changes over time. Measuring brain activity non-invasively with functional magnetic resonance imaging increases our understanding of brain organizations and functional mechanisms, so in this study, we used the functional magnetic resonance imaging data of 18 healthy subjects and 18 subjects with depression. Method: The purpose of this study is to investigate the existence of significant differences in static and dynamic functional connectivity and also to investigate the corresponding topological properties of static and dynamic networks with graph-based methods at the individual and group levels between two groups of healthy and depressed subjects in auditory stimulation. In this study, a sliding window approach with a length of30seconds and an overlap of 0.9 of window size was used to obtain the dynamic functional connectivity. Result: Finally, the two groups showed significant differences in terms of functional connectivity of the whole brain. In addition, from the topological aspect, Distance, Clustering coefficient, Global Efficiency and Local Efficiency, Modularity, Shortest path length, and Assortativity metrics showed a significant difference between the two groups in most of the investigated cases, which can act as neuroimaging indicators for the preclinical diagnosis of people suffering from depression
  9. Keywords:
  10. Functional Connectivity ; Dynamic Functional Connectivity ; Sliding Window ; Magnetic Resonance Imagin (MRI) ; Network Theory ; Graph Theory Metric ; Graph Theory ; Functional Magnetic Resonance Imaging (FMRI)

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