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      2. west china medical publishers
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        find Author "李文杰" 4 results
        • Parathyroid Micro Vascular Anatomy and Thyroid Lobectomy with Capsular Technique

          Objective To explore the significance of parathyroid micro vascular anatomy in thyroid lobectomy with capsular technique. Methods The pertinent literatures in recent thirty years were screened with key words “parathyroid micro vascular anatomy, capsular technique, and protection”and reviewed. Results There were many types of number, origin, and length of parathyroid vascular, and specific measurements should be taken in thyroid lobectomy with capsular technique. Conclusion Fully awareness of parathyroid micro vascular anatomy will benefit to ensure preservation of their function during thyroid lobectomy with capsular technique.

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        • Classification of Children with Attention-Deficit/Hyperactivity Disorder and Typically Developing Children Based on Electroencephalogram Principal Component Analysis and k-Nearest Neighbor

          This paper aims to assist the individual clinical diagnosis of children with attention-deficit/hyperactivity disorder using electroencephalogram signal detection method. Firstly, in our experiments, we obtained and studied the electroencephalogram signals from fourteen attention-deficit/hyperactivity disorder children and sixteen typically developing children during the classic interference control task of Simon-spatial Stroop, and we completed electroencephalogram data preprocessing including filtering, segmentation, removal of artifacts and so on. Secondly, we selected the subset electroencephalogram electrodes using principal component analysis (PCA) method, and we collected the common channels of the optimal electrodes which occurrence rates were more than 90% in each kind of stimulation. We then extracted the latency (200~450 ms) mean amplitude features of the common electrodes. Finally, we used the k-nearest neighbor (KNN) classifier based on Euclidean distance and the support vector machine (SVM) classifier based on radial basis kernel function to classify. From the experiment, at the same kind of interference control task, the attention-deficit/hyperactivity disorder children showed lower correct response rates and longer reaction time. The N2 emerged in prefrontal cortex while P2 presented in the inferior parietal area when all kinds of stimuli demonstrated. Meanwhile, the children with attention-deficit/hyperactivity disorder exhibited markedly reduced N2 and P2 amplitude compared to typically developing children. KNN resulted in better classification accuracy than SVM classifier, and the best classification rate was 89.29% in StI task. The results showed that the electroencephalogram signals were different in the brain regions of prefrontal cortex and inferior parietal cortex between attention-deficit/hyperactivity disorder and typically developing children during the interference control task, which provided a scientific basis for the clinical diagnosis of attention-deficit/hyperactivity disorder individuals.

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        • Comparative research on brain networks of children with attention deficit hyperactivity disorder and normal children based on visual cognitive tasks

          Aiming at the difference between the brain networks of children with attention deficit hyperactivity disorder (ADHD) and normal children in the task-executing state, this paper conducted a comparative study using the network features of the visual function area. Functional magnetic resonance imaging (fMRI) data of 23 children with ADHD [age: (8.27 ± 2.77) years] and 23 normal children [age: (8.70 ± 2.58) years] were obtained by the visual capture paradigm when the subjects were performing the guessing task. First, fMRI data were used to build a visual area brain function network. Then, the visual area brain function network characteristic indicators including degree distribution, average shortest path, network density, aggregation coefficient, intermediary, etc. were obtained and compared with the traditional whole brain network. Finally, support vector machines (SVM) and other classifiers in the machine learning algorithm were used to classify the feature indicators to distinguish ADHD children from normal children. In this study, visual brain function network features were used for classification, with a classification accuracy of up to 96%. Compared with the traditional method of constructing a whole brain network, the accuracy was improved by about 10%. The test results show that the use of visual area brain function network analysis can better distinguish ADHD children from normal children. This method has certain help to distinguish the brain network between ADHD children and normal children, and is helpful for the auxiliary diagnosis of ADHD children.

          Release date:2020-12-14 05:08 Export PDF Favorites Scan
        • DIFFERENTIATION AND PROLIFERATION POTENTIAL OF NEURAL STEM CELLS IN SUBVENTRICULAR ZONE OF MICE IN VITRO

          ObjectiveTo establish the system of isolation, cultivation, and identification of the neural stem cells (NSCs) from subventricular zone (SVZ) of neonatal mice so as to seek for the appropriate seed cells for potential therapeutic interventions of neurological disorders. MethodsNSCs were isolated enzymatically and mechanically from SVZ of neonatal mice and cultured. The cellular morphology was observed by inverted microscopy. Immunocytochemical stainings of anti-Nestin and anti-SOX-2 were used to identify NSCs of passage 3. To study the differentiation of NSCs, NSCs were plated into 24-wells in the medium supplemented without epidermal growth factor (EGF) and basic fibroblastic growth factor (bFGF) for 3 or 7 days. To compare the differentiation and proliferation potential of NSCs with different cultivation time, the BrdU pulse-labeling method and MTT test were used. To identify neurons and astrocytes, the anti-β-tubulin Ⅲ (Tuj-1) and anti-glial fibrillary acidic protein (GFAP) staining were used. ResultsThe cells of the SVZ can be isolated and cultured in vitro, and these cells began to form neurospheres after cultured for 3 days at primary passage. While cultured for 7 days, these cells formed more neurospheres, and the volume of the neurospheres became bigger than neurospheres cultured for 3 days. In addition, after cultured for 7 days, the phenomena of fusion of neurospheres and adherent differentiation of neurospheres were observed under inverted microscope. These cells were provided with the typical phenotype of NSCs. The immunofluorescence staining results revealed that these cells showed positive immunoreactivity to Nestin and SOX-2. During the 4 hours BrdU pulse, the number of proliferated NSCs cultured for 3 days (75.817±2.961) was significantly higher than that of NSCs cultured for 7 days (56.600±4.881) (t=3.366, P=0.028). The results of MTT assay revealed that the absorbance (A) value of NSCs cultured for 3 days (0.478±0.025) was significantly higher than that of NSCs which were cultured for 7 days (0.366±0.032)(t=2.752, P=0.011). After cultivated without EGF and bFGF, the percentage of Tuj-1 and GFAP positive cells in NSCs was 23.1%±3.7% and 23.7%±3.8% for 3 days and was 40.1%±3.6% and 37.1%±4.5% for 7 days, respectively, all showing significant differences (t=3.285, P=0.030; t=3.930, P=0.017). ConclusionThe NSCs from SVZ of neonatal mice have potentials of self-renewal and multipotential differentiation in vitro. With different cultivation time, the potentials of proliferation and differentiation of NSCs are different.

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          2. 射丝袜