Objective:To investigate the changes of white matter fiber bundles in patients with bipolar disorder depressive epoch.Methods:Forty-two patients with unmedicated bipolar disorder (BD) depression and 59 age-, sex- and handedness-matched healthy controls who underwent DTI were recruited in the study. According to the Johns Hopkins University human white matter fiber bundle map, the white matter tissue of the brain was segmented into 20 acknowledged large fiber bundles. The PANDA software was used to calculate the four average diffusion properties of each white matter fiber bundle for each subject. Nonparametric substitution test was used to detect the difference of diffusion index between the two groups on these 20 white matter fiber bundles. Pearson correlation analysis was performed between FA values and RD values extracted from significantly different white matter fiber bundles and clinical indices.Results:In comparison to the normal controls, BD patients had a significant decreased fractional anisotropy (FA) values in the left uncinate fasciculus (0.40±0.01 vs. 0.41±0.01, P=0.001) and the forceps minor (0.36±0.02 vs. 0.38±0.02, P<0.001). Additionally, the radial diffusivity values increased in the left uncinate fasciculus (6.57×10 -4±2.41×10 -5vs. 6.40×10 -4±2.42×10 -5, P=0.001 7). Pearson correlation analysis showed that there were no significant correlations among the clinical indices the FA values and AD values in the left uncinate fasciculus and forceps minor. Conclusions:The patients with bipolar disorder in depression possibly have abnormal left uncinate fasciculus and the forceps minor.

Objective:To investigate the changes of white matter fiber bundles in patients with bipolar disorder depressive epoch.Methods:Forty-two patients with unmedicated bipolar disorder (BD) depression and 59 age-, sex- and handedness-matched healthy controls who underwent DTI were recruited in the study. According to the Johns Hopkins University human white matter fiber bundle map, the white matter tissue of the brain was segmented into 20 acknowledged large fiber bundles. The PANDA software was used to calculate the four average diffusion properties of each white matter fiber bundle for each subject. Nonparametric substitution test was used to detect the difference of diffusion index between the two groups on these 20 white matter fiber bundles. Pearson correlation analysis was performed between FA values and RD values extracted from significantly different white matter fiber bundles and clinical indices.Results:In comparison to the normal controls, BD patients had a significant decreased fractional anisotropy (FA) values in the left uncinate fasciculus (0.40±0.01 vs. 0.41±0.01, P=0.001) and the forceps minor (0.36±0.02 vs. 0.38±0.02, P<0.001). Additionally, the radial diffusivity values increased in the left uncinate fasciculus (6.57×10 -4±2.41×10 -5vs. 6.40×10 -4±2.42×10 -5, P=0.001 7). Pearson correlation analysis showed that there were no significant correlations among the clinical indices the FA values and AD values in the left uncinate fasciculus and forceps minor. Conclusions:The patients with bipolar disorder in depression possibly have abnormal left uncinate fasciculus and the forceps minor.

Both unipolar depression (UD) and bipolar depression (BD) have obvious depression symptoms.Clinically,UD and BD are often misdiagnosed.Recently,MR imaging (MRI) has been used to detect biomarkers distinguishing BD and UD.This study will summarize previous studies on detecting biomarkers to distinguish BD and UD based on structural MRI,diffusion tensor imaging (DTI) and functional MRI.Based on the current issues of previous studies,we further make prospective development of future studies in this field.

A number of studies have indicated that disorders of consciousness result from multifocal injuries as well as from the impaired functional and anatomical connectivity between various anterior forebrain regions. However, the specific causal mechanism linking these regions remains unclear. In this study, we used spectral dynamic causal modeling to assess how the effective connections (ECs) between various regions differ between individuals. Next, we used connectome-based predictive modeling to evaluate the performance of the ECs in predicting the clinical scores of DOC patients. We found increased ECs from the striatum to the globus pallidus as well as from the globus pallidus to the posterior cingulate cortex, and decreased ECs from the globus pallidus to the thalamus and from the medial prefrontal cortex to the striatum in DOC patients as compared to healthy controls. Prediction of the patients' outcome was effective using the negative ECs as features. In summary, the present study highlights a key role of the thalamo-basal ganglia-cortical loop in DOCs and supports the anterior forebrain mesocircuit hypothesis. Furthermore, EC could be potentially used to assess the consciousness level.
Adult ; Bayes Theorem ; Connectome ; Consciousness Disorders ; diagnostic imaging ; physiopathology ; Female ; Humans ; Machine Learning ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neural Pathways ; diagnostic imaging ; physiopathology ; Prognosis ; Prosencephalon ; diagnostic imaging ; physiopathology ; Young Adult