Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.

With the rapid development of information technology， research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service， thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory， we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books， built a knowledge sharing service platform for ancient TCM books by integrating database， cloud platform， knowledge graph and other technologies， and carried out the thematic literature research and developed databases for four major diseases including stroke， heart failure， liver cirrhosis， and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally， through "digital processing plus intelligent application"， the two-way interaction between ancient TCM books and current clinical practice is realized， and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed， providing reference for the innovative utilization of ancient TCM books.

Objective To explore the current research status and frontier hotspot of task-state functional magnetic resonance imaging(fMRI)based on language task in the field of neuropsychiatric diseases. Methods Literature about the application of task-state fMRI based on language task in neuropsychiatric disorders was re-trieved from CNKI,VIP and Web of Science Core Collection databases up to November 12nd,2023.The includ-ed literature was analyzed using CiteSpace and VOSviewer. Results A total of 91 literatures were included.The researches about application of task-state fMRI based on language task in the field of neuropsychiatric disorders were reported since 2002,and developed uniformly;particularly for the diagnosis and treatment of stroke,brain tumors,epilepsy,schizophrenia and other neuropsychiatric disorders,as well as in studies of brain functional connectivity.Research hotspots included mechanisms of aphasia recov-ery,brain functional changes,functional connectivity and language laterality.Journals of psychology,education and sociology played the core role,disciplines such as neurology also contributed to the advancement of this tech-nology. Conclusion Task-state fMRI based on language task demonstrates significant potential in elucidating the mechanisms of how the brain processes language in neuropsychiatric disorders.

Objective To explore the task-state electroencephalogram(EEG)characteristics of working memory in patients with post-stroke aphasia(PSA). Methods From September,2020 to February,2021,a total of eight patients with PSA(PSA group)and eight healthy adults(HC group)were recruited to collect EEG and memory scale data.The EEG data of working memory task-states were used to analyze the characteristics of the EEG frequency band indicators in time domain event-related potentials(ERP)and frequency;and the correlation with the items in the memory scale. Results Finally,five patients and five controls were included.N1 and P2 components were induced in the frontal area,and P300 components were induced in the parieto-occipital area.Compared with HC group,the activation of N1 and P2 increased in central prefrontal region,while the activity of P300 decreased in the right parieto-occipital re-gion in PSA group(|t|>2.193,P<0.05).The energy of theta band decreased in the right prefrontal region and the central parieto-occipital region,the energy of alpha1 band decreased in the left parieto-occipital region,and the energy of gamma band increased in the left central region(t>2.398,P<0.05).The energy of gamma band correlated with immediate recall(r = 0.914,P = 0.030)and correct recognition(r = 0.931,P = 0.022)of Auditory Verbal Learning Test,and inverting(r = 0.924,P = 0.025)and anterograde(r = 0.889,P = 0.044)of Digit Span Test. Conclusion Visual working memory task can activate the compensatory processing activity of memory related brain re-gions after PSA,which can be used as an objective indication for the evaluation of PSA working memory related research.There is close relationship between language impairment and working memory.

Objective To screen items of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome;To provide reference for the formulation and improvement of the scheme.Methods The Delphi method was used to distribute two rounds of questionnaires to 60 experts in cerebropathy or neurology across the country.Statistical analysis was performed on the questionnaire results of the scheme's items,including the disease names,etiology and pathogenesis,syndrome characteristics,rules and regulations,representative prescriptions,acupuncture and other therapies,and preventive care.Results Totally 42 and 50 valid questionnaires were collected.The experts reached the consensus for the importance of etiology and pathogenesis,rules and regulations,acupuncture and other therapies,and preventive care.In the section on syndrome characteristics,items with low relevance or causing ambiguity were removed.Items that were no longer used in modern times and different prescriptions with the same name were removed from the representative prescriptions.The names of syndromes,rules and regulations were unified.Conclusion The experts generally reached the consensus for the importance of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome.However,there are still some limitations that require further study and discussion.

Objective To explore the research path to construct knowledge representation,knowledge analysis,knowledge presentation and knowledge reasoning of ancient stroke medical cases based on knowledge element theory and knowledge graph.Methods A multi-layered knowledge representation system of medical cases was constructed,which included"knowledge body-knowledge element-semantics and semantic relationships",and knowledge element indexing system was used to parse the text into structured data.Combined with the attribute graph model for graph design,Neo4j was used to build a knowledge graph,and visual presentation and analysis were performed.Results A total of 517 medical cases from 86 ancient books were included,forming a knowledge representation system including 2 types of knowledge bodies,19 types of knowledge elements,27 types of semantics and 9 types of semantic relationships.The original knowledge graph had 19 node types(8 virtual nodes)and 15 relationship types,totaling 6363 nodes and 14697 relationships;the integrated knowledge graph had 11 node types and 11 relationship types,totaling 1229 nodes and 11456 relationships.Hierarchical subgraph visualization and node connectivity analysis methods completed implicit knowledge exploration and reasoning.Conclusion The knowledge representation system can guide the structured expression and semantic level analysis of ancient text,and provide systematic data support for the construction of knowledge graphs.The original knowledge graph of ancient and modern dual-mode knowledge graph focuses on the visual presentation of complex diagnosis and treatment ideas,which is conducive to improving the efficiency of medical cases review;integrating the knowledge graph to build a scale-free network and using group cases as the object can realize the tacit knowledge of stroke from a macro dimension excavation.

ObjectiveTo visualize the research trends of verbal and nonverbal cognitive functions in patients with post-stroke aphasia (PSA). MethodsPapers about verbal and nonverbal cognitive functions after stroke were extracted from Web of Science Core Collection from establishment to August, 2022, and a bibliometric analysis was conducted on the distribution of articles published by year, author, journal, institution, and country. Author cooperation, author co-citation, journal co-citation, country/institution cooperation, dynamic evolution, keyword hotspots, and trends were visually analyzed by using VOSviewer software. ResultsA total of 1 630 publications were identified for final analysis. The first article related to the topic was retrieved in 2004. After that, the number of published papers showed an increasing trend year by year, with some fluctuations after 2019. Matthew A. Lambon Ralph and Elizabeth Jefferies were the authors who produced the most, were cited the most, and were the most influential. Neuropsychologia was a highly productive and well-cited publication. The University of Manchester in the United Kingdom and Johns Hopkins University in the United States were the nations/institutions with high yield and high centrality. Although China had a high yield and was in the top five, the centrality was insufficient. The dynamic emergence of keywords revealed that the research had gone through the following stages: evaluating the mechanism of language and nonverbal cognitive function impairment based on neuroimage, exploring the role of nonverbal cognitive dysfunction in pathology and recovery mechanisms of patients with PSA, examining the therapeutic mechanism of non-invasive brain stimulation and electronic tele-rehabilitation equipment, and revealing not only the frontal and temporal areas but also brain network supporting nonverbal cognition. ConclusionIn recent years, some achievements have been made in the researches on verbal and nonverbal cognitive function, particularly in the studies of the neuroimaging-based mechanisms of common damage and the intervention effects of synergistic therapy. In the future, academic cooperation between different regions and different teams needs to be strengthened. Further exploration should be focused on refining the cognitive neuropsychology and exploring new technologies to improve the therapeutic effect of PSA.

ObjectiveTo explore the current status and frontier hotspots of functional near-infrared spectroscopy (fNIRS) in the field of stroke. MethodsRelevant literature on stroke and fNIRS from the Web of Science Core Collection (WoSCC) database was searched from its inception to July, 2023. VOSviewer, CiteSpace and Scimago were utilized for analysis of publication output, countries (regions) and institutions, international collaboration, co-cited references, co-occurring keywords and burst keywords. ResultsA total of 379 articles were included. The research activity in this field showed an overall upward trend with slight fluctuations in the early stage. Among the top five institutions by publication output, four were from China. Co-occurrence analysis revealed that Beihang University and Boston Children's Hospital were central in collaboration networks. This study involved 1 787 authors, with 120 core authors, in which the top five most cited authors were Li Zengyong, Li Wenhao, Huo Congcong, Dou Zulin and Song Ying. The publications in this field were primarily concentrated in disciplines such as neurology, psychiatry, ophthalmology and clinical medicine. Overlay visualization of journal co-citation networks demonstrated associations between medical, clinical, and neurology disciplines with psychology, education, and sociology. Co-occurrence and clustering analysis of keywords indicated research emphasis on stroke rehabilitation, integration of multiple technical modalities, and exploration of innovative training strategies and brain activation connectivity. The research evolution of fNIRS in the stroke domain revealed initial use of photodiode devices for cerebral ischemia reperfusion monitoring. Subsequent studies refined cortical activation through improved laser sources, avalanche photodiodes, single-task experimental designs and transcranial direct current stimulation. Later, research extended to whole-brain detection, multimodal stimulation and the combination of virtual reality technology with audiovisual stimulation, resulting in significantly enhanced brain activation. The application of brain-computer interface technology further facilitated direct restoration of motor function. ConclusionResearches in the field of stroke using fNIRS technology overall demonstrat a continuous upward trend. The researches focuse on post-stroke rehabilitation, integrating multimodal fusion, brain-computer interfaces, virtual reality, and sensory stimulation for real-time monitoring and personalized neurorehabilitation training strategies. It emphasizes interdisciplinary collaboration, expanding innovative research and the application of new technologies.

Objective:To investigate the application of "three-dimensional knowledge-objective" teaching combined with immersive clinical experience in nursing practice teaching in the operating room of department of ophthalmology and otorhinolaryngology.Methods:A total of 86 nursing students who received practice teaching in the operating room of Department of Ophthalmology and Otorhinolaryngology in our hospital were selected as research subjects and were divided into control group and observation group using a simple random number table, with 43 students in each group. The students in the control group received traditional teaching, and those in the observation group received "three-dimensional knowledge-objective" teaching and immersive clinical experience. The two groups were assessed in terms of the effectiveness of classroom teaching, nursing quality score, and the score of the ability to handle nurse-patient dispute. SPSS 22.0 was used to perform the chi-square test and the t-test. Results:After training, both groups had significant increases in the scores of basic nursing, specialized nursing, equipment management, equipment coordination ability, patrol coordination ability, and document recording ability and the total score of all dimensions, and the observation group had significantly higher scores than the control group ( P<0.05). After training, both groups had significant increases in the scores of dispute identification ability, the ability of emergency response to dispute, nurse-patient communication skills, the awareness of nursing laws and regulations, and psychological stress adjustment ability and the total score of all dimensions, and the observation group had significantly higher scores than the control group ( P<0.05). Conclusion:In the nursing practice teaching in the operating room of the department of ophthalmology and otorhinolaryngology, "three-dimensional knowledge-objective" teaching combined with immersive clinical experience can improve the effectiveness of classroom teaching, enhance nursing quality, and strengthen the ability to handle nurse-patient dispute.

Objective:To use the resting state functional network connectivity (FNC) method based on independent component analysis (ICA) to analyze the characteristics of FNC changes in patients with basal ganglia aphasia (BGA) after stroke, and to explore its occurrence and recovery mechanism under the intervention of acupuncture combined with language rehabilitation training.Methods:Using a prospective observational research method, 16 right-handed BGA patients who were treated at Beijing Hospital of Traditional Chinese Medicine, Capital Medical University from July 2021 to December 2022, as well as 14 healthy subjects matched in age, gender, education level, and handedness, were included. The resting state functional magnetic resonance imaging, demographic information, and Western Aphasia Examination data of healthy subjects and BGA patients before and after intervention were collected. The GIFT toolbox based on MATLAB platform was applied for ICA and resting state brain network FNC analysis. The FNC differences between BGA patients and healthy subjects were compared horizontally, and the FNC changes in BGA patients before and after intervention were compared vertically.Results:Compared with healthy subjects, post-stroke BGA patients showed decreased connectivity between the basal ganglia network, default network, and visual network before intervention, while increased connectivity between the auditory network, right frontoparietal network, and anterior cuneiform network; After the intervention of acupuncture combined with language rehabilitation training, the connectivity between the basal ganglia network, visual network, and anterior cuneiform network decreased, while the connectivity between the anterior convex network and bilateral frontoparietal network decreased, while the connectivity between the default network, auditory network, right frontoparietal network, and visual network increased. The BGA patient group showed enhanced connectivity between the basal ganglia network and the left frontoparietal network before and after intervention.Conclusions:The FNC changes between the basal ganglia network and other brain networks are key to reflecting the mechanism of BGA occurrence and language function recovery. Acupuncture combined with language rehabilitation training may improve language function by enhancing the connectivity between the basal ganglia network and the left frontoparietal network, and the redistribution of attention resources may also be one of the reasons for promoting language function recovery in BGA patients.