The measurement of network is one of the important researches in resolving neuronal population information processing mechanism using complex network theory. For the quantitative measurement problem of functional neural network, the relation between the measure indexes, i.e. the clustering coefficient, the global efficiency, the characteristic path length and the transitivity, and the network topology was analyzed. Then, the spike-based functional neural network was established and the simulation results showed that the measured network could represent the original neural connections among neurons. On the basis of the former work, the coding of functional neural network in nidopallium caudolaterale (NCL) about pigeon's motion behaviors was studied. We found that the NCL functional neural network effectively encoded the motion behaviors of the pigeon, and there were significant differences in four indexes among the left-turning, the forward and the right-turning. Overall, the establishment method of spike-based functional neural network is available and it is an effective tool to parse the brain information processing mechanism.
Endoscopic resection and surgical resection are the two major therapeutic methods for early esophageal cancer. Endoscopic resection is safe and minimally invasive, but lymph node dissection can not be performed. Although surgery provides a rather thorough resection of the lesions and affected lymph nodes, surgical trauma brings certain negative impact on patients' long-term life quality. A comprehensive assessment of the patient's general condition, the risk of diseased lymph node metastasis, and the risk of the treatment itself is an important measure to optimize treatment decisions and formulate personalized treatment plans.
ObjectiveTo explore the risk factors for postoperative pneumonia (POP) following esophagectomy for esophageal cancer, and to identify potential clinical indicators for predicting POP. MethodsA retrospective analysis was conducted on the clinical data of patients with esophageal cancer who underwent esophagectomy at the Department of Thoracic Surgery, West China Hospital of Sichuan University from 2017 to 2021. Perioperative clinical indicators were collected to analyze the risk factors for the occurrence of POP. Patients were divided into a POP group and a non-POP group according to whether POP occurred. Results A total of 613 patients with esophageal cancer were included, comprising 472 males and 141 females, with a median age of 62.0 (53.0, 67.0) years. Among them, 51 patients were in the POP group, and 562 patients were in the non-POP group. Multivariate logistic regression analysis showed that the forced expiratory volume in 1 second percentage of predicted (FEV1%) [OR=0.958, 95%CI (0.943, 0.973), P<0.001], systemic immune-inflammation index (SII) [OR=1.001, 95%CI (1.000, 1.002), P=0.007], and prognostic nutritional index (PNI) [OR=0.869, 95% CI (0.813, 0.928), P<0.001] were independent risk factors for POP. Receiver operating characteristic (ROC) curve analysis combining FEV1%, SII, and PNI demonstrated that the area under the curve (AUC) for predicting POP was 0.826 [95%CI (0.793, 0.855), cut-off value: 0.08, sensitivity: 80.3%, specificity: 72.4%, Youden index: 0.528, P<0.001]. Cross-validation confirmed that the combined indicators had the highest predictive efficacy, which was significantly superior to that of any single indicator alone. Conclusion Preoperative levels of FEV1%, SII, and PNI are closely associated with the occurrence of POP following surgery for esophageal cancer. The combined application of FEV1%, SII, and PNI demonstrates good predictive efficacy for the occurrence of POP.