Aphasia is one of the major complications after stroke, which needs an effective assessment. Event-related potential (ERP) has been widely researched in neurology, the endogenous components, such as P300, N400, mismatch negativity (MMN), contingent nega-tive variation (CNV) have been widely used in diagnosis and evaluation of the impairment of brain function, including the language func-tion. This paper discussed the application of different endogenous components of ERP in aphasia after stroke, especially the comparative analysis of N400 and P300.

As a vital part of human body, the brain executes junior and senior function through coordination and interaction of different functional regions. Modern scientific research showed that there were many human brain functional networks in the resting-state. The resting-state functional magnetic resonance imaging technology, which was getting more and more mature, taking opportunities for brain functional networks and was widely used in nervous and mental diseases, providing new methods and ideas for the diagnosis and assessment of nervous and mental diseases. This paper focused on the brain mechanism research methods based on resting-state networks and its application in nervous and mental diseases.

Early screening and intervention on post-stroke dysphagia (PSD) is very important in stroke treatment. Rehabilitation training and acupuncture are the main therapies on PSD. Comprehensive and individualized treatment under multi-disciplinary management models is the future direction. Normalizing clinical manipulation and constructing reasonable efficacy evaluation system are the key problems to be solved.

ObjectiveTo compare the effect of acupuncture and speech rehabilitation on motor aphasia after stroke with speech rehabilitation alone. Methods49 patients with aphasia were divided into treatment group (27 cases) and control group (22 cases) randomly. The cases in treatment group were treated with acupuncture and speech rehabilitation. The cases in control group were treated with speech rehabilitation alone. They were assessed before and 1 month, 3 months after treatment. ResultsThere was no significant difference between treatment group and control group 1 month after treatment (P>0.05), but was significant in auditory comprehension, speaking, reading, dictation and description (P<0.05) 3 months after treatment. ConclusionThe acupuncture can facilitate the recovery of motor aphas after stroke.

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 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 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.

To explore the relativity between heart-brain and post-stroke anxiety disorder by analyzing the pathogenesis of post-stroke anxiety disorder combined with the physiology and pathology of organs. The acupoint selection thought was explored by its selection rule according to literature. Post-stroke anxiety belongs to the brain organic anxiety disorder, whose basic pathogenesis is mind injury. The crucial cause is heart and brain disorder at the same time. Thus, Baihui (GV 20), Fengfu (GV 16) for brain and Xinshu (BL 15), Shenmen (HT 7) for heart can improve anxiety disorder according to the theories such as five organ,(thoroughfare),(four seas), meridian and collateral.

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.