Resting-State Functional Connectivity and Brain Network Abnormalities in Depressive Patients with Suicidal Ideation.
Vincent Chin-Hung ChenYu-Syuan ChouYuan-Hsiung TsaiYin-Cheng HuangRoger S McIntyreJun-Cheng WengPublished in: Brain topography (2021)
Our study aimed to investigate whether changes in brain function measured with functional magnetic resonance imaging (fMRI) can be detected among individuals with depressive disorders and suicidal ideation. The association between depression severity and brain images is also discussed. Our study recruited 111 participants in three groups: 35 depressive patients with suicidal ideation (SI), 32 depressive patients without suicidal ideation (NS), and 44 healthy controls (HCs). All participants were scanned using 3T MRI to obtain resting-state functional images, and functional connectivity (FC), amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and graph theoretical analysis (GTA) were performed. We found functional activity differences, such as the hippocampus and thalamus, in the SI group compared with the NS group. We also concluded lower activity in the thalamus and cuneus regions were related to suicidal ideation. We also found several functional connectivity of the brain areas, such as hippocampus, cuneus, and frontal regions, in the SI group correlated with Hamilton Depression Rating Scale (HAM-D) and Hospital Anxiety and Depression Scale (HADS). A graph theoretical analysis (GTA) and network-based statistical (NBS) analysis revealed different topological organization and slightly better local segregation of the brain network in healthy participants compared with those in depressive patients with suicidal ideation. We suggest that brain functional connectivity may be affected in depressive patients with suicidal ideation.
Keyphrases
- resting state
- functional connectivity
- magnetic resonance imaging
- bipolar disorder
- stress induced
- convolutional neural network
- deep learning
- depressive symptoms
- healthcare
- ejection fraction
- newly diagnosed
- contrast enhanced
- machine learning
- physical activity
- optical coherence tomography
- chronic kidney disease
- diffusion weighted imaging
- sleep quality
- brain injury
- subarachnoid hemorrhage
- acute care