학술논문
Network-based functional connectivity in MDD with suicide ideation before and after TMS: An fMRI case study
Document Type
Conference
Source
2022 30th International Conference on Electrical Engineering (ICEE) Electrical Engineering (ICEE), 2022 30th International Conference on. :446-450 May, 2022
Subject
Language
ISSN
2642-9527
Abstract
Brain Major depressive disorder (MDD) is a major psychological disorder worldwide. Suicide ideation is one of the most serious side effects of MDD. Suicide attempt in normal people is about 15 individuals in 100,000 but in people with MDD, this reaches 15,000 persons in 100,000. In this study, we investigated the effects of the transcranial magnetic stimulation (TMS) on network-based whole-brain connectivity in an MDD patient with suicide ideation. We implemented a combination of weight-adjusted second order blind identification (WASOBI) and efficient fast independent component analysis (EFICA) algorithms, called COMBI, as a promising method for identifying independent components in the resting-state fMRI data (rsfMRI) of a female subject. We performed group information guided independent component analysis (GIG-ICA) as a back-reconstruction step and then extracted the functional connectivity (FC). The results showed significant changes in specific brain networks. Functional connectivity increased between the following networks after TMS: sensorimotor and language; left executive control network (ECN) and language; dorsal DMN and auditory; and dorsal default mode network (DMN) and basal ganglia. Besides, ventral DMN and language networks illustrated decrement in connectivity. To the best of our knowledge, this is the first study that has investigated the network-based functional connectivity in an MDD patient with Suicide Ideation (SI) throughout long-term treatment.