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Early onset depression (EOD) and late onset depression (LOD) are thought to have different pathogeneses, but lack of pathological evidence. In the current study we describe the dynamic rich-club properties of patients with EOD and LOD to address this question indirectly. We recruited 82 patients with late life depression (EOD 40, LOD 42) and 90 healthy controls. Memory, executive function and processing speed were measured, and resting-stage functional MRI was performed with all participants. We constructed a dynamic functional connectivity network and carried out rich-club and modularity analyses. Normalized mutual information (NMI) was applied to describe the variance in rich-club nodes distribution and partitioning. The NMI coefficient of rich club nodes distribution among the three groups was the lowest in the EOD patients (F = 4.298; P = 0.0151, FDR = 0.0231), which was positively correlated with rich-club connectivity (R = 0.886, P < 0.001) and negatively correlated with memory (R = -0.347, P = 0.038) in the EOD group. In the LOD patients, non-rich-club connectivity was positively correlated with memory (R = 0.353, P = 0.030 and R = 0.420, P = 0.009). Furthermore, local connectivity was positively correlated with processing speed in the LOD patients (R = 0.374, P = 0.021). The modular partition was different between the EOD patients and the HCs (P = 0.0013 < 0.05/3). The temporal instability of rich-club nodes was found in the EOD patients, but not the LOD patients, supporting the hypothesis that EOD and LOD result from different pathogenesis, and showing that the instability of the rich-club nodes across time might disrupt rich-club connectivity. [ABSTRACT FROM AUTHOR]

Suicide is a tremendous threat to global public health, and a large number of people who committed suicide suffered the pain of mental diseases, especially major depressive disorder (MDD). Previous study showed that ketamine could reduce suicidal ideation (SI), potentially by improving the impaired working memory (WM). The objective of current study was to illuminate the relationship between WM and SI in MDD with repeated ketamine treatment. MDD patients with SI (n = 59) and without SI (n = 37) completed six intravenous infusions of ketamine (0.5 mg/kg over 40 min) over 12 days (Day 1, 3, 5, 8, 10 and 12). The severity of depressive symptoms, SI and WM were assessed at baseline, day 13 and day 26. We found that WM was significantly improved after 6 ketamine infusions (F = 161.284, p = 0.009) in a linear mixed model. Correlation analysis showed that the improvement of depressive symptom was significantly associated with WM at baseline (r = − 0.265, p = 0.042) and the reduction in SSI-part I was related to the change of WM (r = 0.276, p = 0.034) in the MDD patients with SI. Furthermore, Logistic regression analysis showed that improvement in WM might predict the anti-SI response of ketamine. Our findings suggest that the improvement of working memory may partly account for the anti-SI effect of ketamine, and intervention of improving working memory function may be capable of reducing suicidal ideation. [ABSTRACT FROM AUTHOR]

Objectives: We aimed to evaluate the diagnostic performance of CT and MRI for distinguishing intraductal papillary neoplasm of the bile duct (IPNB) from cholangiocarcinoma (CC) with intraductal papillary growth (IPG). Methods: Forty-two patients with either IPNB or CC with IPG proven by histopathology were independently reviewed in retrospect. Strict criteria for diagnosis of IPNB included presence of the designated imaging features as follows: local dilatation of the bile duct, nodule within the dilated bile duct, growing along the interior wall of bile duct. Any lesion that was not consistent with the criteria was classified as CC with IPG. Sensitivity, specificity, positive and negative predictive values for characterization of IPNB were calculated, and k test was used to assess the level of agreement. Results: Two imaging reviewers correctly identified 21 of 26 (80.8 %) and 22 of 26 (84.6 %) IPNB cases, respectively. Alternatively, they correctly identified 14 of 16 (87.5 %) and 15 of 16 (93.8 %) CC with IPG, respectively. Agreement between the two reviewers was perfect ( k = 0.81) for the diagnosis of IPNB and differentiation from CC with IPG. Conclusions: By using our designated diagnostic criteria of CT and MRI, IPNB can be accurately identified and possible to be distinguished from CC with IPG. Key points: • IPNB can accurately be identified by using defined diagnostic criteria at CT/MRI. • IPNB has some characteristic CT and MR imaging features. • IPNB is a rare entity; up until now it might have been misdiagnosed. [ABSTRACT FROM AUTHOR]

This paper is focused on resolution-based automated reasoning theory in linguistic truth-valued lattice-valued logic based on linguistic truth-valued lattice implication algebra. Concretely, the general form of α-resolution principle based on the above lattice-valued logic is equivalently transformed into another simpler lattice-valued logic system. Firstly, the general form of α-resolution principle for lattice-valued propositional logic $$ ({\fancyscript{L}}_{n} \times {\fancyscript{L}}_{2}){\text{P(X)}} $$ is equivalently transformed into that for lattice-valued propositional logic $$ \fancyscript{L}_{n} $$P(X). A similar conclusion is obtained between the general form of α-resolution principle for linguistic truth-valued lattice-valued propositional logic $${\fancyscript{L}}_{V(n \times 2)}$$P(X) and that for lattice-valued propositional logic $${\fancyscript{L}}_{Vn} $$P(X). Secondly, the general form of α-resolution principle for lattice-valued first-order logic $$ ({\fancyscript{L}}_{n} \times {\fancyscript{L}}_{2}) $$F(X) is equivalently transformed into that for $${\fancyscript{L}}_{n} $$P(X). Similarly, this conclusion also holds for linguistic truth-valued lattice-valued first-order $${\fancyscript{L}}_{V(n \times 2)} $$F(X) and $${\fancyscript{L}}_{Vn} $$P(X). The presented work provides a key theoretical support for automated reasoning approaches and algorithms in linguistic truth-valued logic, which can further support linguistic information processing for decision making, i.e., reasoning with words. [ABSTRACT FROM AUTHOR]

Implantation of embryonic stem cells (ESC)-derived insulin-producing cells has been extensively investigated for treatment of diabetes in animal models. However, the in vivo behavior and migration of transplanted cells in diabetic models remains unclear. Here we investigated the location and migration of insulin-producing cells labeled with superparamagnetic iron oxide (SPIO) using a dynamic MRI tracking method. SPIO labeled cells showed hypointense signal under the kidney subcapsules of diabetic mice on MRI, and faded gradually over the visiting time. However, new hypointense signal appeared in the spleen 1 week after transplantation, and became obvious with the time prolongation. Further histological examination proved the immigrated cells were insulin and C-peptide positive cells which were evenly distributed throughout the spleen. These intra-spleen insulin-producing cells maintained their protective effects against hyperglycemia in vivo, and these effects were reversed upon spleen removal. Transplantation of insulin-producing cells through spleen acquired an earlier blood glucose control as compared with that through kidney subcapsules. In summary, our data demonstrate that insulin-producing cells transplanted through kidney subcapsules were not located in situ but migrated into spleen, and rescues hyperglycemia in diabetic models. MRI may provide a novel tracking method for preclinical cell transplantation therapy of diabetes continuously and non-invasively. [ABSTRACT FROM AUTHOR]