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Converging Resting State Networks Unravels Potential Remote Effects of Transcranial Magnetic Stimulation for Major Depression
- Source :
- Frontiers in Psychiatry, Frontiers in Psychiatry, Vol 11 (2020), Ishida, Takuya; Dierks, Thomas; Strik, Werner; Morishima, Yosuke (2020). Converging Resting State Networks Unravels Potential Remote Effects of Transcranial Magnetic Stimulation for Major Depression. Frontiers in psychiatry, 11(836), p. 836. Frontiers 10.3389/fpsyt.2020.00836
- Publication Year :
- 2020
-
Abstract
- Despite being a commonly used protocol to treat major depressive disorder (MDD), the underlying mechanism of repetitive transcranial magnetic stimulation (rTMS) on dorsolateral prefrontal cortex (DLPFC) remains unclear. In the current study, we investigated the resting-state fMRI data of 100 healthy subjects by exploring three overlapping functional networks associated with the psychopathologically MDD-related areas (the nucleus accumbens, amygdala, and ventromedial prefrontal cortex). Our results showed that these networks converged at the bilateral DLPFC, which suggested that rTMS over DLPFC might improve MDD by remotely modulating the MDD-related areas synergistically. Additionally, they functionally converged at the DMPFC and bilateral insula which are known to be associated with MDD. These two areas could also be potential targets for rTMS treatment. Dynamic causal modelling (DCM) and Granger causality analysis (GCA) revealed that all pairwise connections among bilateral DLPFC, DMPFC, bilateral insula, and three psychopathologically MDD-related areas contained significant causality. The DCM results also suggested that most of the functional interactions between MDD-related areas and bilateral DLPFC, DMPFC, and bilateral insula can predominantly be explained by the effective connectivity from the psychopathologically MDD-related areas to the rTMS stimulation sites. Finally, we found the conventional functional connectivity to be a more representative measure to obtain connectivity parameters compared to GCA and DCM analysis. Our research helped inspecting the convergence of the functional networks related to a psychiatry disorder. The results identified potential targets for brain stimulation treatment and contributed to the optimization of patient-specific brain stimulation protocols.
- Subjects :
- lcsh:RC435-571
medicine.medical_treatment
Ventromedial prefrontal cortex
610 Medicine & health
resting-state functional magnetic resonance imaging (fMRI)
Amygdala
behavioral disciplines and activities
03 medical and health sciences
0302 clinical medicine
lcsh:Psychiatry
mental disorders
medicine
repetitive transcranial magnetic stimulation (rTMS)
Original Research
Psychiatry
Resting state fMRI
major depressive disorder
business.industry
functional connectivity
Dynamic causal modelling
030227 psychiatry
Dorsolateral prefrontal cortex
Transcranial magnetic stimulation
Psychiatry and Mental health
medicine.anatomical_structure
nervous system
Brain stimulation
dynamic causal modeling (DCM)
Granger causality analysis (GCA)
business
Neuroscience
Insula
030217 neurology & neurosurgery
psychological phenomena and processes
Subjects
Details
- ISSN :
- 16640640
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in psychiatry
- Accession number :
- edsair.doi.dedup.....5fa545eed8783b5497512239f6ee5840