Features of the resting-state functional network in patients with major depressive disorder: mutual information analysis in fMRI data

In this work, we conducted the analysis of the functional magnetic resonance imaging data in healthy subjects and patients with major depressive disorder that were obtained during experimental research when subjects were resting. The signals that have undergone preprocessing and filtration were used...

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Bibliographic Details
Main Authors: Khorev, Vladimir, Kurkin, Semen, Paunova, Rositsa, Stoyanov, Drozdstoy
Format: Conference Proceeding
Language:English
Subjects:
Autism
brain networks
Complex networks
connectivity
Depression
depressive episode
Filtration
fMRI
functional connectivity
Functional magnetic resonance imaging
major depressive disorder
Measurement
mutual information
Thalamus
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Summary:In this work, we conducted the analysis of the functional magnetic resonance imaging data in healthy subjects and patients with major depressive disorder that were obtained during experimental research when subjects were resting. The signals that have undergone preprocessing and filtration were used to find the functional connectivity between the brain regions. Results demonstrate significant changes between functional connections based on the mutual information measure. We obtained five significantly changed connections, four of which increased more in cotrol group over patients.
ISSN:2770-744X
DOI:10.1109/DCNA59899.2023.10290201