关键词： 神经精神疾病   全国性学术会议   精神病学   临床荟萃   神经内科   精神科   神经病学   被引频次  

摘要： 由国家教育部主管、中山大学主办的《中国神经精神疾病杂志》创刊于1975年,是国内神经病学、精神病学领域内具有重要影响力的专业学术性核心期刊,被引频次及影响因子居临床医学期刊前列。我刊主要报道我国神经内科、神经外科、精神科临床和基础研究的新成果,介绍相关领域研究的新进展,推广先进的诊疗技术,组织专题学术讨论和召开全国性学术会议。辟有包括专家论坛、论著、短著述、研究简报、临床荟萃、讲座、综述、疑难病例讨论等诸多栏目,全面、实时地反映最新的学术思想和临床经验,其从基础到临床的广阔领域给致力于神经科学发展的研究者们提供了博大的舞台。

关键词： 办刊宗旨   学术刊物   临床神经病学   读者对象   中级人员   神经科医师   五官科   注重实用  

摘要： 《临床神经病学杂志》系国家级神经病学专业性学术刊物,由南京医科大学附属脑科医院主办。刊登内容以临床神经病学为主,兼及有关边缘学科。读者对象以从事临床神经病学专业的高、中级人员为主,也可供内科、儿科、眼科、五官科医师参阅。本刊的办刊宗旨是:面向临床,面向基层,注重实用,鼎力于提高我国临床神经科医师的专业理论及诊疗水平。

关键词： PBL教学   神经病学   临床见习   教学方法  

摘要： 通过学习1例青年脑卒中诊治过程,组织神经内科见习学生以问题为基础的学习(PBL)教学方法小组方式展开课堂讨论学习,课间辅以实时通讯工具(微信),便于学生查找资料时可保持联系与知识交流,组织学生分组讨论与思考,构建思维导图,通过自我答疑、小组讨论的方式总结学习内容。结果发现PBL教学法辅以即时通讯的信息传递与交流,可以营造更宽松、主动的学习氛围与良好的交流平台;激发学生主动学习的自觉性,在辩论与释疑过程中内化知识深度;可以锻炼学生临床思维的清晰性与条理性,促使学生发现问题、解决问题。通过建立新型见习方式,可有效提高学生的见习效果,同时也要求带教教师在课前认真设计病案,兼顾实用性与巧妙性,促使学生在不断探讨中解决问题,并及时对课堂内容进行总结。

关键词： 北京大学出版社   核心期刊表   文献计量学   《中文核心期刊要目总览》   《中国图书馆分类法》   神经病学   精神病学   专家评审  

摘要： 《中华老年心脑血管病杂志》主编:我们谨此郑重通知:依据文献计量学的原理和方法,经研究人员对相关文献的检索、统计和分析,以及学科专家评审,贵刊《中华老年心脑血管病杂志》入编《中文核心期刊要目总览》2017年版(即第8版)之"神经病学与精神病学"类的核心期刊。该书由北京大学出版社出版。书中按《中国图书馆分类法》的学科体系,列出了78个学科的核心期刊表,并逐一对核心期刊进行了著录。

关键词： 中华医学会   神经病学   推荐意见   睡眠障碍   失眠   临床实际工作   推荐理由   治疗和预后  

摘要： 推荐理由:失眠和抑郁、焦虑的发生率随着人们生活节奏的加快而日趋升高,且三者之间的关系错综复杂。失眠伴抑郁、焦虑在临床表现、治疗和预后方面与单纯失眠有很大差别,且预后更差、危害更严重,需要高度重视及积极处理。2020年第8期《中华神经科杂志》发表了由中华医学会神经病学分会睡眠障碍学组、神经心理与行为神经病学学组联合组织撰写的《中国成人失眠伴抑郁焦虑诊治专家共识》,着重阐述了中国成人失眠、抑郁、焦虑的概念、诊断和治疗,以期能为临床实际工作起到一定的借鉴作用。

关键词： 办刊宗旨   中国医师协会   神经疾病   神经解剖学   普及与提高   神经病学   专业期刊   神经内外科  

摘要： 《中国现代神经疾病杂志》为国家卫生健康委员会主管、中国医师协会主办的神经病学类专业期刊。办刊宗旨为:理论与实践相结合、普及与提高相结合,充分反映我国神经内外科临床科研工作重大进展,促进国内外学术交流。所设栏目包括述评、专论、论著、临床病理报告、应用神经解剖学、神经影像学、循证神经病学、流行病学调查研究、基础研究、临床研究、综述、临床医学图像、病例报告、临床病理(例)讨论、新技术新方法等。

关键词： Cerebral palsy   Assistive technology   Brain-computer interface  

摘要： Cerebral palsy is a childhood condition in which there is a motor disability (palsy) caused by a static, non-progressive lesion in the brain (cerebral), produced by decreased brain oxygenation during pregnancy at birth or soon after birth. The rehabilitation of patients with disabilities such as cerebral palsy is usually accomplished through exercises performed by a team of several specialists so that the patient can act independently or minimize the need for third parties. The virtual reality environment called REHAB FUN was developed as a purpose to aid in the treatment of patients with cerebral palsy from 3 to 8 years. The REHAB FUN is composed of 10 phases (activities) and a web area for analysis of the specialists to follow the evolution of the patients. Seven patients were participated using the virtual environment twice a week for 3 months (20 sessions). We measured attention levels, errors, and time. The REHAB FUN has been shown to be a motivating tool for patients, and through the data acquired, the specialists can direct the treatment in an individualized way so that there are greater effectiveness and efficiency in the treatment of motor rehabilitation.

关键词： Outcomes research   Trauma  

摘要： Study design Cross-sectional survey. Objectives Most studies on neurological recovery after traumatic spinal cord injury (tSCI) assess treatment effects using the American Spinal Injury Association Impairment Scale (AIS grade) or motor points recovery. To what extent neurological recovery is considered clinically meaningful is unknown. This study investigated the perceived clinical benefit of various degrees of neurological recovery one year after C5 AIS-A tSCI. Setting The Netherlands. Methods By means of a web-based survey SCI patients and physicians evaluated the benefit of various scenarios of neurological recovery on a scale from 0 to 100% (0% no benefit to 100% major benefit). Recovery to AIS-C and D, was split into C/C+ and D/D+, which was defined by the lower and upper limit of recovery for each grade. Results A total of 79 patients and 77 physicians participated in the survey. Each AIS grade improvement from AIS-A was considered significant benefit (all p < 0.05), ranging from 47.8% (SD 26.1) for AIS-B to 86.8% (SD 24.3) for AIS-D+. Motor level lowering was also considered significant benefit (p < 0.05), ranging from 66.1% (SD 22.3) for C6 to 81.7% (SD 26.0) for C8. Conclusions Meaningful recovery can be achieved without improving in AIS grade, since the recovery of functional motor levels appears to be as important as improving in AIS grade by both patients and physicians. Moreover, minor neurological improvements within AIS-C and D are also considered clinically meaningful. Future studies should incorporate more detailed neurological outcomes to prevent potential underestimation of neurological recovery by only using the AIS grade.

关键词： Continuous health monitoring   classification processor   electroencephalogram (EEG)   emotion detection   machine learning   neurological disorder   support vector machine  

摘要： Chronic neurological disorders (CND's) are lifelong diseases and cannot be eradicated, but their severe effects can be alleviated by early preemptive measures. CND's, such as Alzheimer's, Autism Spectrum Disorder (ASD), and Amyotrophic Lateral Sclerosis (ALS), are the chronic ailment of the central nervous system that causes the degradation of emotional and cognitive abilities. Long term continuous monitoring with neuro-feedback of human emotions for patients with CND's is crucial in mitigating its harmful effect. This paper presents hardware efficient and dedicated human emotion classification processor for CND's. Scalp EEG is used for the emotion's classification using the valence and arousal scales. A linear support vector machine classifier is used with power spectral density, logarithmic interhemispheric power spectral ratio, and the interhemispheric power spectral difference of eight EEG channel locations suitable for a wearable non-invasive classification system. A look-up-table based logarithmic division unit (LDU) is to represent the division features in machine learning (ML) applications. The implemented LDU minimizes the cost of integer division by 34% for ML applications. The implemented emotion's classification processor achieved an accuracy of 72.96% and 73.14%, respectively, for the valence and arousal classification on multiple publicly available datasets. The 2 x 3mm(2) processor is fabricated using a 0.18 mu m 1P6M CMOS process with power and energy utilization of 2.04 mW and 16 mu J/classification, respectively, for 8-channel operation.