Choroidal thickness and its relevance with retinal disease has been widely studied in recent years, as choroid is an important source of retina blood supply. Diabetic retinopathy (DR) studies have been focused on retinal vascular injury and related circulatory disorders for a long time, however recent studies have found that choroidal blood vessels are also affected by diabetes, including the thickness changes. The choroidal thickness of diabetic patients is thinner than normal. There is no conclusive conclusion about choroidal thickness and the severity of DR lesions, as the choroid thickness results are determined by multiple factors, including diseases, ocular conditions (choroidal vascular status, ocular axial length, refractory errors and other eye parameters), systemic factors (age and sex) and measurement methods. Therefore, it is necessary to calibrate the ocular and extra-ocular factors affecting choroidal thickness when trying to further clarify the relationship between the choroidal thickness and DR.
Cognitive reappraisal is an important strategy for emotion regulation. Studies show that even healthy people may not be able to implement this strategy successfully, but the underlying neural mechanism behind the behavioral observation of success or failure of reappraisal is unclear. In this paper, 28 healthy college students participated in an experiment of emotional regulation with the cognitive reappraisal strategy. They were asked to complete the cognitive psychological questionnaires before the experiment. Their behavioral scores and scalp electroencephalogram (EEG) signals were collected simultaneously during the experiment. We divided all the subjects into two groups, according to the statistical test of valence scores. Then we analyzed their questionnaires, early event-related potential (ERP) components N200, P200, and late positive potential (LPP), and calculated the correlation between the valence score and the amplitude of LPP. The results showed that, in both groups, compared with negative-watching, the reappraisal induced larger N200 and P200 components and there were two modulation patterns (“increase” and “decrease”) of the reappraisal effect on the amplitude of early LPP (300−1 000 ms after stimulus onset). Moreover, correlation analysis showed that significant positive correlation between two differences in the successful group, i.e., the greater difference in the valence scoresin between reappraisal and negative-watching, the greater difference in the amplitude of early LPP between reappraisal and negative-watching; but no such effect was found in the failure group. These results indicated that, whether reappraisal was successful or not, no significant effect on early ERP components was found; and there were different patterns of the reappraisal effect on early LPP. The difference between successful and failure groups was mainly reflected in early LPP, that is, the EEG characteristics and behavioral scores of successful group were significantly positively correlated. Furthermore, the small sample analysis showed that this correlation only existed in the pattern of "increase". In the future, more research of this modulation mode is necessary in order to find more stable EEG characteristics under successful cognitive reappraisal in emotion regulation.
ObjectiveTo summarize the value of imaging in the evaluation of non-surgical therapy for pancreatic cancer.MethodThe relevant literatures about imaging evaluation of non-surgical therapy for pancreatic cancer were collected to make an review.ResultsAt present, most of the imaging evaluation of non-surgical therapy for pancreatic cancer were based on the assessment of morphological characteristics of tumors, such as contrast-enhanced CT and MRI. However, only morphological changes of tumors could not accurately evaluate the response of pancreatic cancer after non-surgical treatment. A few studies had explored the value of functional imaging and artificial intelligence.ConclusionsNon-surgical therapy provides new treatment opportunities for unresectable pancreatic cancer, especially the proposed of neoadjuvant therapy, which provides the possibility of operation for patients with advanced pancreatic cancer. More imaging indicators with stronger objectivity, higher accuracy, and wider universality need to be improved and developed in the future.
The aim of this study is to explore the effects of continuous theta-burst transcranial magnetic stimulation (cTBS) on functional brain network in emotion processing. Before and after the intervention of cTBS over left dorsolateral prefrontal cortex (DLPFC) of ten participants who were asked to perform the emotion gender recognition task, we recorded their scalp electroencephalograms (EEG). Then we used the phase synchronization of EEG to measure the connectivity between two nodes. We then calculated the network efficiency to describe the efficiency of information transmission in brain regions. Our research showed that after the intervention of cTBS and the stimulation of the emotion face picture, there was an obvious enhancement in the event-related spectral perturbation after stimuli onset in beta band in 100–300 ms. Under the stimulation of different emotion picture, the values of global phase synchronization for negative and neutral stimuli were enhanced compared to positive ones. And the increased small-worldness was found in emotional processing. In summary, based on the effect of activity change in the left DLPFC on emotion processing brain network, the emotional processing mechanism of brain networks were preliminary explored and it provided the reference for the research of emotion processing brain network in the future.
Autophagy is a programmed cell degradation process that is involved in a variety of physiological and pathological processes including malignant tumors. Abnormal induction of autophagy plays a key role in the development of hepatocellular carcinoma (HCC). We established a prognosis prediction model for hepatocellular carcinoma based on autophagy related genes. Two hundred and four differentially expressed autophagy related genes and basic information and clinical characteristics of 377 registered hepatocellular carcinoma patients were retrieved from the cancer genome atlas database. Cox risk regression analysis was used to identify autophagy-related genes associated with survival, and a prognostic model was constructed based on this. A total of 64 differentially expressed autophagy related genes were identified in hepatocellular carcinoma patients. Five risk factors related to the prognosis of hepatocellular carcinoma patients were determined by univariate and multivariate Cox regression analysis, including TMEM74, BIRC5, SQSTM1, CAPN10 and HSPB8. Age, gender, tumor grade and stage, and risk score were included as variables in multivariate Cox regression analysis. The results showed that risk score was an independent prognostic risk factor for patients with hepatocellular carcinoma (HR = 1.475, 95% CI = 1.280–1.699, P < 0.001). In addition, the area under the curve of the prognostic risk model was 0.739, indicating that the model had a high accuracy in predicting the prognosis of hepatocellular carcinoma. The results suggest that the new prognostic risk model for hepatocellular carcinoma, established by combining the molecular characteristics and clinical parameters of patients, can effectively predict the prognosis of patients.
ObjectiveTo observe alterations of macular outer retinal reflectivity (ORR) and the associations with macular vessel density in patients with nonproliferative diabetic retinopathy (NPDR). Methods A retrospective cross-sectional study. From August 2021 to March 2022, a total of 63 NPDR patients with 63 eyes (NPDR group) diagnosed by Department of Ophthalmology of Guangdong Provincial People's Hospital were included in the study. There were 39 males with 39 eyes and 24 females with 24 eyes. Age was 60 (52, 68) years. A total of 66 eyes of 66 healthy volunteers matching age and sex were selected as the control group. Among them, 40 men had 40 eyes and 26 women had 26 eyes. Age was 58 (52, 67) years. Optical coherence tomography (OCT) and OCT angiography (OCTA) were performed in all affected eyes. Image J software was used to calculate ORR, including the optical density of ellipsoid zone (EZ), photoreceptor outer segment (OS), photoreceptor inner segment (IS) and outer nuclear layer (ONL) by OCT examination. The sampling sites were horizontal and vertical scanning of the fovea of the macula on 500 μm (nasal500, temporal500, superior500, inferior500), 1 000 μm (nasal1 000, temporal1 000, superior1 000, inferior1 000) and 2 000 μm (nasal2 000, temporal2 000, superior2 000, inferior2 000). The software automatically divided the retina within 6 mm of the macular fovea into the fovea with a diameter of 1 mm, the parafovea with a diameter of 1-3 mm, and the perifovea with a diameter of 3-6 mm by macular OCTA examination. The blood density of superficial capillary plexus and deep capillary plexus in different zones in the macular area were measured by the built-in software of the device. Spearman correlation analysis was used to analyze the correlation between ORR and blood flow density. ResultsCompared with the control group, retinal reflectivity of EZ in NPDR group was significantly decreased at other sites except the fovea, retinal reflectivity of OS was significantly decreased at nasal2 000, temporal2 000, superior2 000 and superior1 000; retinal reflectivity of IS was significantly decreased at superior1 000, superior500 and inferior500. The retinal reflectivity of ONL in macular fovea was significantly decreased, and the differences were statistically significant (P＜0.05). The ORR was positively correlated with blood flow density, and the correlation coefficient in NPDR group was lower than that in control group. The results of multifactor linear regression analysis showed that the superior and temporal ORR were correlated with blood flow density (P＜0.05). ConclusionsCompared with the control group, ORR is reduced and less correlated with vessel density in NPDR patients. ORR is more affected by retinal blood flow density in temporal and superior parts.