Objective To built up the ERP model,measure mode and P300 potential reference standard in mice with vascular dementia(VD),and characterize the P300 potential in mice with VD.Methods Fortyeight mice were randomly divided into a normal group.sham operation group and a VD group.The mice in the Vd group were subject to repetitive ischemia and reperfusion by using the ligation of bilateral common carotid arteries so as to establish the VD model.The behavioral abnormalities were investigated by step-down test and water maze test.The N2 and P3 components of P300 potentials were also recorded.Results It was shown that the learning and memory abilities as reflected by the step down test and water maze test scores were decrease in mice in the VD group when compared with those in the normal group and sham operation group(P<0.05).The N2 and P3 latencies significantly prolonged(P<0.01)and P3 amplitudes decreased(P<0.05)in VD group as well.Conclusions In VD mice,there is a significant prolongation of the P300 potential latency and a significant decrease of learning and memory abilities.Recordings of P300 from unanesthetized mice could be an objective,non-invasive,quantitative and valuable electrophysiological method for studying the cognitive function of VD mice.

Objective To investigate the brain perfusion changes in patients with refractory depressive disorder (RDD) and non-refractory depressive disorder (NDD) using arterial spin labeling (ASL).Methods Present study included 12 patients with RDD, 37 patients with NDD and 42 controls,and their age, sex and handedness were matched among the three groups.FAIR sequences were performed using a 3 T MR imaging system with an 8 channel phase array head coiL The labelled and controled images were subtracted and then averaged to obtain perfusion-weighted images.The first 2 images were excluded to avoid T, equilibrium effects and then voxel based analysis was performed using SPM2. One way ANOVA analysis using age as covariance ( thresholded at P ＜ 0.01 uncorrected) was performed.Results Patients with NDD showed regional alteration of the brain perfusion, mainly involved in two frontal subcortical circuits, i.e. significantly decreased perfusion in the left frontal and thalamus (the limbic thalamo-cortical circuit) whereas significantly increased perfusion in bilateral hippocampi, fight lentiform and left anterior cingulated gyros (the limbic-striatal-pallidal-thalamic circuit).In contrast, patients with RDD presented significantly decreased perfusion involving bilateral frontal areas (the limbic-thalamo-cortieal circuit) whereby no significantly increased perfusion areas were observed.Conclusion In addition to the reported experimental evidences, our results suggest that the RDD is associated with inactivity of bilateral frontal areas, while the NDD is associated with inactivity of left frontal areas and overactivity of bilateral limbic system.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

OBJECTIVE: To compare the effect of 7 antipsychotic drugs on the life quality of schizophrenia patients including chlorpromazine, sulpiride, clozapine, risperidone, olanzapine, quetiapine, and aripiprazole. METHODS: A total of 1,227 stable schizophrenic patients within 5 years onset who took 1 of the 7 study medications as maintenance treatment were followed up for 1 year at 10 China sites. Patients were evaluated by the short form-36 health survey (SF-36) at the baseline and at the end of 1 year. RESULTS: The life quality was improved obviously at the end of the follow-up. There was significant difference in body pain, vitality, and mental health (P<0.05) among these antipsychotic drugs. CONCLUSION All 7 antipsychotic drugs can improve the life quality of schizophrenia patients. Atypical antipsychotic drugs, especially olazapine and quetiapine, are superior to typical antipsychotic drugs in improving life quality.
Adolescent ; Adult ; Antipsychotic Agents ; therapeutic use ; Benzodiazepines ; therapeutic use ; Dibenzothiazepines ; therapeutic use ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Olanzapine ; Quality of Life ; Quetiapine Fumarate ; Schizophrenia ; drug therapy ; Surveys and Questionnaires ; Young Adult