Objective This study was conducted to ascertain whether study on carcinogenic potential of reflux juice from long-standing gastrectomy patients could clarify the relationship between duodenogastric reflux and gastric stump cancer. Methods A total of 48 reflux juice samples(11 Billroth Ⅰ,37 BillrothⅡ)were employed in our study.Ames test and MTT proliferation assay were carried out to evaluate the mutagenicity and proliferative activity of aspirates, respectively. Results There was no difference in mutagenicity of the samples in respect of surgical procedures(P＞0.05). While Billroth Ⅱ samples exhibited stronger proliferative activity than Billroth Ⅰ samples(P=0.751),In addition, the proliferative activity well correlated with pH of aspirates(rs=0.73,P＜0.001),but the mutagenicity failed to this correlation. Conclusion We confirm the duodenal reflux theory for the gastric stump cancer with the aspirates from long-standing postgastrectomy patients, and further suggest that proliferative activity of aspirates should be responsible for the high incidence of gastric cancer in the long-standing gastrectomy patients, thus roviding direct evidence for the etiology of the gastric stump cancer. Simultaneously closely endoscopic surveillance or postgastrectomy patients with moderate/severe dysplasia is highly recommended. In addition, to decrease the incidence of stump cancer effectively, it seems reasonable to perform reconstruction procedures(e.g,Roux-en-Y anastomosis)for those with severe duodenal reflux and to focus the chemoprevention of this cancer on proliferative activity of the reflux juice.

Objective To observe the difference in activated brain regions when speaking Mandarin and Uyghur.Methods Blood oxygenation level dependent magnetic resonance imaging (BOLD-fMRI) was used to scan the brains of 30 healthy,right handed volunteers-15 native Uyghur speakers and 15 native Mandarin speakers-while they performed semantic identification and verb generation tasks.The fMRI data were used to generate statistical parametric maps of the brain areas activated by each task.Results In the semantic identification task the left anterior cingulate gyrus (BA23) and the midline mesophyll wedge were activated significantly more strongly in the Uyghur group compared with the Mandarin speakers.In the verb generation task the left inferior temporal gyrus (BA37),the inferior parietal lobule,the fusiform gyrus and the parahippocampal gyrus in the Uyghur group were all significantly more active.The right superior temporal gyrus (BA38) in the Mandarin group was significantly more active during verb generation than among the Uyghur speakers.Conclusions The brain regions activated during semantic processing and verb generation differ when speaking Uyghur and Mandarin.The cingulate gyrus and the praecuneus are more involved in Uyghur-language semantic processing,especially the left anterior cingulate gyrus.The right hemisphere is more important in Mandarin processing than in Uyghur.

Wearable devices bring us an innovative human-computer interaction which plays an irreplaceable role in enhancing the users' ability in environmental awareness, acquirements of their own state and "ubiquitous" computing power. Since 2013, wearable devices have quickly appeared around us. In this article we classify most of the wearable devices which have been appeared in the markets or reported in the literature according to their functions and the positions where they are worn. Furthermore, we review the technologies related to wearable devices, such as sensing technology, wireless communication, power manager, display technology and big data. At last, we analyze the challenges which the wearable devices will face in near future, and look forward to development trends of wearable devices.
Biomedical Engineering ; Biomedical Technology ; Clothing ; Humans ; Monitoring, Ambulatory ; instrumentation ; Wireless Technology

Post-traumatic stress disorder (PTSD) is a mental disorder causing great distress to individuals, families and even society, and there is not yet effective way of unified prevention and treatment up till now. Lots of neuroimaging techniques, however, such as the magnetic resonance imaging, are widely used to the study of the pathogenesis of PTSD with the development of medical imaging. Functional magnetic resonance imaging (fMRI) can be applied to detect the abnormalities not only of the brain morphology but also of the function of various cerebral areas and neural circuit, and plays an important role in studying the pathogenesis of psychiatric diseases. In this paper, we mainly review the task-related and resting-state functional magnetic resonance imaging studies of the PTSD, and finally suggest possible directions for future research.
Brain ; physiopathology ; Humans ; Magnetic Resonance Imaging ; Neuroimaging ; Stress Disorders, Post-Traumatic ; physiopathology

Objective To observe any differences in the spontaneous activity of brain areas between Manda rin-speaking and Uyghur-speaking aphasics at rest and explore the reasons.Methods Functional magnetic resonance imaging was used to scan the brains of 15 Mandarin-speaking and 12 Uyghur-speaking subjects.Statistical parametric maps of the active brain areas were prepared and low-frequency amplitude (ALEF) indexes were calculated.Results While at rest the ALEF indexes of the Mandarin-speakers were,on averge,larger than those of the Uyghur-speakers.The difference was primarily in the ALEF of the right thalamus.Conclusion At rest,the average ALEF of the right thalamus of aphasic Mandarin-speakers is larger than that of Uyghur-speakers.It might be that after a left-brain stroke the Mandarin-speakers form new language circuits with the help of the right thalamus which compensates for the loss of language function.

Objective To analyze the clinical, imaging characteristics and NOTCH3 mutations of cerebral autosomal dominant arteriopathy with the subcortical infarcts and leukoencephalopathy (CADASIL) in Henan, China.Methods CADASIL patients diagnosed by gene or biopsy in People′s Hospital of Zhengzhou University between 2012-2016 were recruited.Clinical and imaging features of these patients were analyzed retrospectively.The distribution of NOTCH3 gene mutations hotspots was described in Henan region at the same time.Results There were 37 patients from 19 families who were diagnosed as CADASIL by genetic testing or biopsy, 27 of whom had symptoms of CADASIL.Two families were confirmed by pathological examination and 17 by genetic testing.Of these 17 families, 13 mutations were found.Mutations in exon 11 were found in eight families, in exon 4 were detected in four families, and in exon 13 were found in two families.Mutation in exons 3, 8 and 20 was detected in one family respectively.Most patients presented with stroke and several presented with cognitive decline.Twelve patients had been attacked by risk factors.Magnetic resonance imaging (MRI) was performed on 22 patients.White-matter lesions were distributed in brain stem, basal ganglia, subcortical, temporal pole, external capsule.There were 19 patients with white-matter lesions in temporal pole and seven in capsula externa, showed as a high signal in T2WI.Conclusions CADASIL patients can be associated with risk factors.T2WI hyperintensities in the anterior temporal lobe were more common than that in the capsular external.Exon 11 and exon 4 were the hotspots for the NOTCH3 mutation in Henan patients.

Transoral incisionless fundoplication (TIF)has been used for the treatment of gastroesophageal reflux disease (GERD)via repairing the gastroesophageal junction valve. Both the clinical report and control study confirmed that,with the prerequisite of rational selection of patients,TIF as an emerging technology can effectively cure or improve the clinical symptoms of GERD,esophagitis,and level of esophageal acid exposure. Compared with the traditional treatment,TIF is more effective,safe and having lasting effect for the rationally selected GERD patients. This article reviewed advances in study on TIF for the treatment of GERD.

Objective To investigate the clinical manifestations,imaging features,molecular genetic characteristics and possible pathogenic mechanisms of hereditary cerebral small vessel disease (CSVD) caused by heterozygous mutation of HtrA serine protease-1 (HTRA1) gene.Methods The clinical data of a Chinese Han family with CSVD carrying a heterozygous mutation of HTRA 1 gene,which came from the Department of Neurology,Henan Provincial People's Hospital in March 2018,were analyzed retrospectively.The clinical and radiographic features were summarized.Several high-throughput whole exon high-throughput sequencing was used to capture the mutation sites and the Sanger sequencing was used to validate the results.The family diagram was drawn and the 3D model construction and mutation function prediction were performed using silico tools.The relevant literature was reviewed and the pathogenesis was explored.Results The pedigree map showed that the family had an autosomal dominant inheritance pattern.Three generations of the family were investigated,and three family members in the same generation suffered from the disease.The first symptom of the proband was diplopia at the age of 39,accompanied by recurrent stroke,cognitive impairment and mood disorders,without alopecia.Head magnetic resonance imaging revealed bilateral diffuse,symmetric lesions,multiple lacunar infarcts,perivascular space,and microbleeds.The elder sister of the proband developed symptoms of left limb weakness at the age of 46,whose other clinical and imaging features were similar to those of the proband.The proband's mother died at the age of 59 due to repeated strokes.Whole exon sequencing indicated heterozygous missense mutation at c.821G＞A locus of HTRA1 gene in the proband and her 4th elder sibling,which was a new pathogenic mutation after consulting several mutation sites of databases.Function prediction suggested pathogenicity.Conclusions The heterozygous mutation of c.821G＞A in HTRA1 gene may lead to autosomal dominant CVSD.This genetic type should be given clinical attention.

Objective To analyze the clinical presentation , the mutation of the pathogenic genes and imaging features in a Chinese Han early-onset Alzheimer's disease pedigree.Methods A pedigree of Alzheimer's disease was collected.The DNA sequence of presenilin 1 (PSEN1), presenilin 2, micro-tubule associated protein tau ,β-amyloid precursor protein gene was analyzed , the clinical presentation , results of accessory examination , neuropsychological evaluation of the proband were investigated and the point mutations of some members of the family , 50 sporadic Alzheimer's disease patients , 50 normal controls were verified.Results The proband of the family appeared as language impairment , memory loss, personality change, repeated language, visuospatial impairment, mental and behavior disorder.The gene detection showed p.L226R mutation in the condon 226 in the exon 7 of PSEN1 gene of the proband and five other family members (Ⅲ1 ,Ⅲ2 ,Ⅲ4 ,Ⅲ6 ,Ⅲ7 ).The mother of the proband had the suspicious symptoms , and the sister and the brother of the proband had the similiar symptoms with the proband , all of whom died.Fifty sporadic Alzheimer'disease patients and 50 unrelated normal subjects did not have the mutation .The computed tomographic angiography showed that the brain blood vessels were normal and 18 F-fludeoxyglucose positron emission tomography (18F-FDG-PET) showed brain atrophy and hypometabolism in frontotemporal regions, parietal regions, hippocampal areas, however, the MRI, MRA and 18F-FDG-PET of the two mutation carriers (Ⅲ6 ,Ⅲ7 ) were all normal.Conclusion We reported a novel mutation in an early-onset Alzheimer's disease family presented as language impairment in the early stage of the disease , the p.L226R mutation of PSEN1, which may be a pathogenic mutation to cause the family's dementia.

In recent years, with the rapid development of machine learning techniques,the deep learning algorithm has been widely used in one-dimensional physiological signal processing. In this paper we used electroencephalography (EEG) signals based on deep belief network (DBN) model in open source frameworks of deep learning to identify emotional state (positive, negative and neutrals), then the results of DBN were compared with support vector machine (SVM). The EEG signals were collected from the subjects who were under different emotional stimuli, and DBN and SVM were adopted to identify the EEG signals with changes of different characteristics and different frequency bands. We found that the average accuracy of differential entropy (DE) feature by DBN is 89.12%±6.54%, which has a better performance than previous research based on the same data set. At the same time, the classification effects of DBN are better than the results from traditional SVM (the average classification accuracy of 84.2%±9.24%) and its accuracy and stability have a better trend. In three experiments with different time points, single subject can achieve the consistent results of classification by using DBN (the mean standard deviation is1.44%), and the experimental results show that the system has steady performance and good repeatability. According to our research, the characteristic of DE has a better classification result than other characteristics. Furthermore, the Beta band and the Gamma band in the emotional recognition model have higher classification accuracy. To sum up, the performances of classifiers have a promotion by using the deep learning algorithm, which has a reference for establishing a more accurate system of emotional recognition. Meanwhile, we can trace through the results of recognition to find out the brain regions and frequency band that are related to the emotions, which can help us to understand the emotional mechanism better. This study has a high academic value and practical significance, so further investigation still needs to be done.