Several studies were devoted to investigate the effects of meteorological factors on the occurrence of stroke. Regression models had been mostly used to assess the correlation between weather and stroke incidence. How...Several studies were devoted to investigate the effects of meteorological factors on the occurrence of stroke. Regression models had been mostly used to assess the correlation between weather and stroke incidence. However, these methods could not describe the process proceeding in the back-ground of stroke incidence. The purpose of this study was to provide a new approach based on Hidden Markov Models (HMMs) and self-organizing maps (SOM), interpreting the background from the viewpoint of weather variability. Based on meteorological data, SOM was performed to classify weather patterns. Using these classes by SOM as randomly changing “states”, our Hidden Markov Models were constructed with “observation data” that were extracted from the daily data of emergency transport at Nagoya City in Japan. We showed that SOM was an effective method to get weather patterns that would serve as “states” of Hidden Markov Models. Our Hidden Markov Models provided effective models to clarify background process for stroke incidence. The effectiveness of these Hidden Markov Models was estimated by stochastic test for root mean square errors (RMSE). “HMMs with states by SOM” would serve as a description of the background process of stroke incidence and were useful to show the influence of weather on stroke onset. This finding will contribute to an improvement of our understanding for links between weather variability and stroke incidence.展开更多
Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analy...Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analyzed using this technique. This study correlated neuro- nal injury in the cerebral cortex of 16 patients with chronic stroke based on a voxel-based lesion symptom mapping analysis. Neuronal injury in the corona radiata, caudate nucleus and putamen of patients with chronic stroke could predict walking speed. The behavioral measure scores were consistent with motor deficits expected after damage to the cortical motor system due to stroke. These findings suggest that voxel-based lesion symptom mapping may provide a more accurate prognosis of motor recovery from chronic stroke according to neuronal injury in cerebral motor cortex.展开更多
【目的】随志愿者地理信息系统的快速发展,高现势性众源路网已成为智慧城市建设的重要数据来源,其选取的效率与效果成为影响多尺度数据服务的关键因素。已有的路网选取方法大多基于数据属性信息判断道路重要性,十分合理且有效,但是,实...【目的】随志愿者地理信息系统的快速发展,高现势性众源路网已成为智慧城市建设的重要数据来源,其选取的效率与效果成为影响多尺度数据服务的关键因素。已有的路网选取方法大多基于数据属性信息判断道路重要性,十分合理且有效,但是,实际数据往往存在属性缺失问题,一定程度上限制了方法的适用性。【方法】针对此问题,本文提出一种属性信息缺失条件下的众源路网空间句法自动建模与选取方法。首先,基于开放街道地图(Open Street Map)中心线数据,开发程序自动执行几何化简、拓扑修正与伪节点处理,批量生成整个城市的空间句法线段模型,并基于模型计算整合度、选择度等空间句法指标;随后构建Stroke,并提取几何特征;进一步,创新性地提出2项复合指标:基于路径单元的标准化角度整合度(SNAIN)与基于路径单元的标准化角度选择度(SNACH),以联合刻画道路的拓扑可达性与几何连续性。在此基础上,应用结合熵权法与层次分析法(EW-AHP)的主客观集成赋权方法,确定综合指标的权重,实现道路的重要性排序。最后,通过断头路识别与网格密度修补,进一步提高路网的连通性和完整性。【结果】以兰州(带状道路网)和成都(环形放射状道路网)为案例验证,结果表明:在道路属性信息缺失的条件下,本文方法能够有效识别城市主干路网,其与OSM道路等级匹配准确率分别达到兰州0.9421、成都0.9711;修补后兰州市路网连通率由1.0582提升至1.0864,成都市路网连通率由1.1086提升至1.1198(成都在所选尺度内的断头路完全消除)。消融实验表明,SNAIN更有利于提升全局连通性,SNACH有助于增强几何连续性,二者并用能在连通性与空间覆盖间取得平衡。【结论】本文方法为属性信息不完整情形下的大规模城市路网快速建模与选取提供了新的理论支持和技术路径。展开更多
Somatosensory dysfunction is associated with a high incidence of functional impairment and safety in patients with stroke. With developments in brain mapping techniques, many studies have addressed the recovery of var...Somatosensory dysfunction is associated with a high incidence of functional impairment and safety in patients with stroke. With developments in brain mapping techniques, many studies have addressed the recovery of various functions in such patients. However, relatively little is known about the mechanisms of recovery of somatosensory function. Based on the previous human studies, a review of 11 relevant studies on the mecha- nisms underlying the recovery of somatosensory function in stroke patients was conducted based on the fol- lowing topics： （1） recovery of an injured somatosensory pathway, （2） peri-lesional reorganization, （3） contribu- tion of the unaffected somatosensory cortex, （4） contribution of the secondary somatosensory cortex, and （5） mechanisms of recovery in patients with thalamic lesions. We believe that further studies in this field using combinations of diffusion tensor imaging, functional neuroimaging, and magnetoencephalography are needed. In addition, the clinical significance, critical period, and facilitatory strategies for each recovery mechanism should be clarified.展开更多
Stroke causes long-term disability, and rehabilitative training is commonly used to improve the consecutive functional recovery. Following brain damage, surviving neurons undergo morphological alterations to reconstru...Stroke causes long-term disability, and rehabilitative training is commonly used to improve the consecutive functional recovery. Following brain damage, surviving neurons undergo morphological alterations to reconstruct the remaining neural network. In the motor system, such neural network remodeling is observed as a motor map reorganization. Because of its significant correlation with functional recovery, motor map reorganization has been regarded as a key phenomenon for functional recovery after stroke. Although the mechanism underlying motor map reorganization remains unclear, increasing evidence has shown a critical role for axonal remodeling in the corticospinal tract. In this study, we review previous studies investigating axonal remodeling in the corticospinal tract after stroke and discuss which mechanisms may underlie the stimulatory effect of rehabilitative training. Axonal remodeling in the corticospinal tract can be classified into three types based on the location and the original targets of corticospinal neurons, and it seems that all the surviving corticospinal neurons in both ipsilesional and contralesional hemisphere can participate in axonal remodeling and motor map reorganization. Through axonal remodeling, corticospinal neurons alter their output selectivity from a single to multiple areas to compensate for the lost function. The remodeling of the corticospinal axon is influenced by the extent of tissue destruction and promoted by various therapeutic interventions, including rehabilitative training. Although the precise molecular mechanism underlying rehabilitation-promoted axonal remodeling remains elusive, previous data suggest that rehabilitative training promotes axonal remodeling by upregulating growth-promoting and downregulating growth-inhibiting signals.展开更多
The links between low temperature and the incidence of disease have been studied by many researchers. What remains still unclear is the exact nature of the relation, especially the mechanism by which the change of wea...The links between low temperature and the incidence of disease have been studied by many researchers. What remains still unclear is the exact nature of the relation, especially the mechanism by which the change of weather effects on the onset of diseases. The existence of lag period between exposure to temperature and its effect on mortality may reflect the nature of the onset of diseases. Therefore, to assess lagged effects becomes potentially important. The most of studies on lags used the method by Lag-distributed Poisson Regression, and neglected extreme case as random noise to get correlations. In order to assess the lagged effect, we proposed a new approach, i.e., Hidden Markov Model by Self Organized Map (HMM by SOM) apart from well-known regression models. HMM by SOM includes the randomness in its nature and encompasses the extreme cases which were neglected by auto-regression models. The daily data of the number of patients transported by ambulance in Nagoya, Japan, were used. SOM was carried out to classify the meteorological elements into six classes. These classes were used as “states” of HMM. HMM was used to describe a background process which might produce the time series of the incidence of diseases. The background process was considered to change randomly weather states, classified by SOM. We estimated the lagged effects of weather change on the onset of both cerebral infarction and ischemic heart disease. This fact is potentially important in that if one could trace a path in the chain of events leading from temperature change to death, one might be able to prevent it and avert the fatal outcome.展开更多
目的:通过文献计量学方法分析MRI在脑卒中领域应用的前100篇高被引论文,旨在探讨MRI在脑卒中研究中的应用现状、热点及前沿趋势。方法:检索Web of Science Core Collection(WoSCC)数据库建库至2024年2月2日有关MRI和脑卒中相关文献,纳入...目的:通过文献计量学方法分析MRI在脑卒中领域应用的前100篇高被引论文,旨在探讨MRI在脑卒中研究中的应用现状、热点及前沿趋势。方法:检索Web of Science Core Collection(WoSCC)数据库建库至2024年2月2日有关MRI和脑卒中相关文献,纳入前100篇被引频次最高的文献。采用VOSviewer和CiteSpace软件对发文量、国家(地区)和机构、国际合作、共引参考文献、共现关键词和突发关键词进行分析。结果:100篇文献发表在1991-2020年,展现出明显的发表趋势波动,其中2003年发文量最高,整体遵循“驼峰曲线”模式,2020年文献年度被引频次达顶峰。100篇共784位作者,依据赖普斯定律有65位核心作者,其中Warach和Parker在作者合作网络中居核心地位。哈佛大学以11篇文献发表量领先,匹兹堡大学等7个机构并列第2。共同发表文献的国家分布分析显示,美国以显著的发文量和合作网络密度在MRI和脑卒中研究领域保持领先地位和国际影响力。CiteSpace软件的双图叠加功能揭示了医学、生物学、免疫学等领域间的高互引频率和密切关联性。通过关键词共现网络分析,揭示了神经病理学、神经影像学技术应用,以及认知功能与康复为当前神经科学研究和临床应用的三大主题,展现了神经影像学技术在理解大脑功能、诊疗神经系统疾病和促进神经功能恢复中的核心作用。结论:MRI技术在脑卒中研究中的应用呈上升趋势,尤其在脑卒中的诊断、疗效评估及神经损伤和修复机制的个性化、客观和精准分析方面。研究重点包括静息态、任务态MRI与PET-CT等技术的结合应用,以及多学科交叉的创新研究和新技术的应用。综合分析揭示了脑卒中领域内MRI应用的研究热点和前沿趋势,以及医学、生物学与神经科学之间的密切联系,为深入理解大脑功能、疾病机制及其治疗提供了新的视角和工具。展开更多
目的:利用文献计量学方法系统梳理Web of Science(WOS)核心数据库脑卒中心肺康复领域相关文献,归纳总结研究热点和发展趋势。方法:在WOS核心数据库上检索脑卒中心肺康复相关文献,检索时限为2013~2023年。利用VOSviewer1.6.19,CiteSpace6...目的:利用文献计量学方法系统梳理Web of Science(WOS)核心数据库脑卒中心肺康复领域相关文献,归纳总结研究热点和发展趋势。方法:在WOS核心数据库上检索脑卒中心肺康复相关文献,检索时限为2013~2023年。利用VOSviewer1.6.19,CiteSpace6.2.R3,ScimagoGraphica软件进行数据分析和可视化图谱的绘制。结果:共纳入1635篇文献,其中论著1272篇(77.8%),综述363篇(22.2%)。2013~2023年脑卒中心肺康复相关领域文献的发文量总体呈波动上升趋势,近几年趋于稳定。发文量最多的国家(地区)是美国(429篇),发文量最多的机构是多伦多大学(53篇),发文量最多的作者是多伦多大学的Marzolini S(25篇)。结论:目前的研究热点集中在增强身体活动,脑卒中心肺功能评估的方式,心肺训练对卒中后的管理以及改善认知功能机制的研究。展开更多
目的对比分析2012—2022年中国学术期刊网络出版总库(CNKI)和Web of Science(WOS)数据库中脑卒中延续护理领域的研究差异。方法分别以CNKI和WOS数据库2012年1月1日至2022年12月31日收录的脑卒中延续护理领域文献为研究对象,应用CiteSpac...目的对比分析2012—2022年中国学术期刊网络出版总库(CNKI)和Web of Science(WOS)数据库中脑卒中延续护理领域的研究差异。方法分别以CNKI和WOS数据库2012年1月1日至2022年12月31日收录的脑卒中延续护理领域文献为研究对象,应用CiteSpace可视化软件对纳入文献进行分析,以确定国内外脑卒中延续护理相关研究的发展脉络及研究热点和研究趋势,并分析其差异。结果国内外对脑卒中延续护理方面的研究差异较大,国内的研究者中心性不高,主要研究团队相对分散,彼此间联系不够紧密,国外部分作者中心性相对较高,研究团队相对集中,但彼此之间合作也不够紧密。国内发文机构比较多,发文量最多的机构为郑州大学护理与健康学院,但各个机构间的合作不够紧凑。国外发文量最多的机构为多伦多大学,机构之间合作紧密,其中凯撒医院具有较高的影响力。国内的研究热点主要集中在对个体尤其是老年患者生理、心理及遵医依从性方面的影响,倾向于干预结果。国外研究热点更多地关注脑卒中患者的二级预防及治疗措施方面,探讨如何更好地从源头促进脑卒中患者的康复,倾向于过程及措施方面。国内的研究前沿主要集中在通过多媒体互联网平台来提高恢复期、偏瘫患者的自理能力等方面;国外的研究前沿集中在从源头切断病因更好地提高脑卒中患者的生存质量,减轻预后护理负担,但是对于脑卒中延续护理平台的选择依旧是趋于传统。结论脑卒中延续护理领域正处在快速发展阶段,我国应进一步加大研究力度,拓宽合作领域,聚焦相关研究热点及前沿,从国外研究中汲取精华,以更好地促进我国脑卒中延续护理的发展。展开更多
文摘Several studies were devoted to investigate the effects of meteorological factors on the occurrence of stroke. Regression models had been mostly used to assess the correlation between weather and stroke incidence. However, these methods could not describe the process proceeding in the back-ground of stroke incidence. The purpose of this study was to provide a new approach based on Hidden Markov Models (HMMs) and self-organizing maps (SOM), interpreting the background from the viewpoint of weather variability. Based on meteorological data, SOM was performed to classify weather patterns. Using these classes by SOM as randomly changing “states”, our Hidden Markov Models were constructed with “observation data” that were extracted from the daily data of emergency transport at Nagoya City in Japan. We showed that SOM was an effective method to get weather patterns that would serve as “states” of Hidden Markov Models. Our Hidden Markov Models provided effective models to clarify background process for stroke incidence. The effectiveness of these Hidden Markov Models was estimated by stochastic test for root mean square errors (RMSE). “HMMs with states by SOM” would serve as a description of the background process of stroke incidence and were useful to show the influence of weather on stroke onset. This finding will contribute to an improvement of our understanding for links between weather variability and stroke incidence.
基金supported by intramural funding from the University of South Carolina McCausland Center for Brain Imaging
文摘Many studies have examined motor impairments using voxel-based lesion symptom mapping, but few are reported regarding the corresponding relationship between cerebral cortex injury and lower limb motor impairment analyzed using this technique. This study correlated neuro- nal injury in the cerebral cortex of 16 patients with chronic stroke based on a voxel-based lesion symptom mapping analysis. Neuronal injury in the corona radiata, caudate nucleus and putamen of patients with chronic stroke could predict walking speed. The behavioral measure scores were consistent with motor deficits expected after damage to the cortical motor system due to stroke. These findings suggest that voxel-based lesion symptom mapping may provide a more accurate prognosis of motor recovery from chronic stroke according to neuronal injury in cerebral motor cortex.
文摘【目的】随志愿者地理信息系统的快速发展,高现势性众源路网已成为智慧城市建设的重要数据来源,其选取的效率与效果成为影响多尺度数据服务的关键因素。已有的路网选取方法大多基于数据属性信息判断道路重要性,十分合理且有效,但是,实际数据往往存在属性缺失问题,一定程度上限制了方法的适用性。【方法】针对此问题,本文提出一种属性信息缺失条件下的众源路网空间句法自动建模与选取方法。首先,基于开放街道地图(Open Street Map)中心线数据,开发程序自动执行几何化简、拓扑修正与伪节点处理,批量生成整个城市的空间句法线段模型,并基于模型计算整合度、选择度等空间句法指标;随后构建Stroke,并提取几何特征;进一步,创新性地提出2项复合指标:基于路径单元的标准化角度整合度(SNAIN)与基于路径单元的标准化角度选择度(SNACH),以联合刻画道路的拓扑可达性与几何连续性。在此基础上,应用结合熵权法与层次分析法(EW-AHP)的主客观集成赋权方法,确定综合指标的权重,实现道路的重要性排序。最后,通过断头路识别与网格密度修补,进一步提高路网的连通性和完整性。【结果】以兰州(带状道路网)和成都(环形放射状道路网)为案例验证,结果表明:在道路属性信息缺失的条件下,本文方法能够有效识别城市主干路网,其与OSM道路等级匹配准确率分别达到兰州0.9421、成都0.9711;修补后兰州市路网连通率由1.0582提升至1.0864,成都市路网连通率由1.1086提升至1.1198(成都在所选尺度内的断头路完全消除)。消融实验表明,SNAIN更有利于提升全局连通性,SNACH有助于增强几何连续性,二者并用能在连通性与空间覆盖间取得平衡。【结论】本文方法为属性信息不完整情形下的大规模城市路网快速建模与选取提供了新的理论支持和技术路径。
基金supported by the DGiST R&D Program of the Ministry of Education, Science and Technology of Korea(13-BD-0401)
文摘Somatosensory dysfunction is associated with a high incidence of functional impairment and safety in patients with stroke. With developments in brain mapping techniques, many studies have addressed the recovery of various functions in such patients. However, relatively little is known about the mechanisms of recovery of somatosensory function. Based on the previous human studies, a review of 11 relevant studies on the mecha- nisms underlying the recovery of somatosensory function in stroke patients was conducted based on the fol- lowing topics： （1） recovery of an injured somatosensory pathway, （2） peri-lesional reorganization, （3） contribu- tion of the unaffected somatosensory cortex, （4） contribution of the secondary somatosensory cortex, and （5） mechanisms of recovery in patients with thalamic lesions. We believe that further studies in this field using combinations of diffusion tensor imaging, functional neuroimaging, and magnetoencephalography are needed. In addition, the clinical significance, critical period, and facilitatory strategies for each recovery mechanism should be clarified.
基金supported by the JSPSKAKENHI Grant-in-Aid for Scientific Research(B),Grant Numbers24700572 and 30614276
文摘Stroke causes long-term disability, and rehabilitative training is commonly used to improve the consecutive functional recovery. Following brain damage, surviving neurons undergo morphological alterations to reconstruct the remaining neural network. In the motor system, such neural network remodeling is observed as a motor map reorganization. Because of its significant correlation with functional recovery, motor map reorganization has been regarded as a key phenomenon for functional recovery after stroke. Although the mechanism underlying motor map reorganization remains unclear, increasing evidence has shown a critical role for axonal remodeling in the corticospinal tract. In this study, we review previous studies investigating axonal remodeling in the corticospinal tract after stroke and discuss which mechanisms may underlie the stimulatory effect of rehabilitative training. Axonal remodeling in the corticospinal tract can be classified into three types based on the location and the original targets of corticospinal neurons, and it seems that all the surviving corticospinal neurons in both ipsilesional and contralesional hemisphere can participate in axonal remodeling and motor map reorganization. Through axonal remodeling, corticospinal neurons alter their output selectivity from a single to multiple areas to compensate for the lost function. The remodeling of the corticospinal axon is influenced by the extent of tissue destruction and promoted by various therapeutic interventions, including rehabilitative training. Although the precise molecular mechanism underlying rehabilitation-promoted axonal remodeling remains elusive, previous data suggest that rehabilitative training promotes axonal remodeling by upregulating growth-promoting and downregulating growth-inhibiting signals.
文摘The links between low temperature and the incidence of disease have been studied by many researchers. What remains still unclear is the exact nature of the relation, especially the mechanism by which the change of weather effects on the onset of diseases. The existence of lag period between exposure to temperature and its effect on mortality may reflect the nature of the onset of diseases. Therefore, to assess lagged effects becomes potentially important. The most of studies on lags used the method by Lag-distributed Poisson Regression, and neglected extreme case as random noise to get correlations. In order to assess the lagged effect, we proposed a new approach, i.e., Hidden Markov Model by Self Organized Map (HMM by SOM) apart from well-known regression models. HMM by SOM includes the randomness in its nature and encompasses the extreme cases which were neglected by auto-regression models. The daily data of the number of patients transported by ambulance in Nagoya, Japan, were used. SOM was carried out to classify the meteorological elements into six classes. These classes were used as “states” of HMM. HMM was used to describe a background process which might produce the time series of the incidence of diseases. The background process was considered to change randomly weather states, classified by SOM. We estimated the lagged effects of weather change on the onset of both cerebral infarction and ischemic heart disease. This fact is potentially important in that if one could trace a path in the chain of events leading from temperature change to death, one might be able to prevent it and avert the fatal outcome.
文摘目的:通过文献计量学方法分析MRI在脑卒中领域应用的前100篇高被引论文,旨在探讨MRI在脑卒中研究中的应用现状、热点及前沿趋势。方法:检索Web of Science Core Collection(WoSCC)数据库建库至2024年2月2日有关MRI和脑卒中相关文献,纳入前100篇被引频次最高的文献。采用VOSviewer和CiteSpace软件对发文量、国家(地区)和机构、国际合作、共引参考文献、共现关键词和突发关键词进行分析。结果:100篇文献发表在1991-2020年,展现出明显的发表趋势波动,其中2003年发文量最高,整体遵循“驼峰曲线”模式,2020年文献年度被引频次达顶峰。100篇共784位作者,依据赖普斯定律有65位核心作者,其中Warach和Parker在作者合作网络中居核心地位。哈佛大学以11篇文献发表量领先,匹兹堡大学等7个机构并列第2。共同发表文献的国家分布分析显示,美国以显著的发文量和合作网络密度在MRI和脑卒中研究领域保持领先地位和国际影响力。CiteSpace软件的双图叠加功能揭示了医学、生物学、免疫学等领域间的高互引频率和密切关联性。通过关键词共现网络分析,揭示了神经病理学、神经影像学技术应用,以及认知功能与康复为当前神经科学研究和临床应用的三大主题,展现了神经影像学技术在理解大脑功能、诊疗神经系统疾病和促进神经功能恢复中的核心作用。结论:MRI技术在脑卒中研究中的应用呈上升趋势,尤其在脑卒中的诊断、疗效评估及神经损伤和修复机制的个性化、客观和精准分析方面。研究重点包括静息态、任务态MRI与PET-CT等技术的结合应用,以及多学科交叉的创新研究和新技术的应用。综合分析揭示了脑卒中领域内MRI应用的研究热点和前沿趋势,以及医学、生物学与神经科学之间的密切联系,为深入理解大脑功能、疾病机制及其治疗提供了新的视角和工具。
文摘目的:利用文献计量学方法系统梳理Web of Science(WOS)核心数据库脑卒中心肺康复领域相关文献,归纳总结研究热点和发展趋势。方法:在WOS核心数据库上检索脑卒中心肺康复相关文献,检索时限为2013~2023年。利用VOSviewer1.6.19,CiteSpace6.2.R3,ScimagoGraphica软件进行数据分析和可视化图谱的绘制。结果:共纳入1635篇文献,其中论著1272篇(77.8%),综述363篇(22.2%)。2013~2023年脑卒中心肺康复相关领域文献的发文量总体呈波动上升趋势,近几年趋于稳定。发文量最多的国家(地区)是美国(429篇),发文量最多的机构是多伦多大学(53篇),发文量最多的作者是多伦多大学的Marzolini S(25篇)。结论:目前的研究热点集中在增强身体活动,脑卒中心肺功能评估的方式,心肺训练对卒中后的管理以及改善认知功能机制的研究。
文摘目的对比分析2012—2022年中国学术期刊网络出版总库(CNKI)和Web of Science(WOS)数据库中脑卒中延续护理领域的研究差异。方法分别以CNKI和WOS数据库2012年1月1日至2022年12月31日收录的脑卒中延续护理领域文献为研究对象,应用CiteSpace可视化软件对纳入文献进行分析,以确定国内外脑卒中延续护理相关研究的发展脉络及研究热点和研究趋势,并分析其差异。结果国内外对脑卒中延续护理方面的研究差异较大,国内的研究者中心性不高,主要研究团队相对分散,彼此间联系不够紧密,国外部分作者中心性相对较高,研究团队相对集中,但彼此之间合作也不够紧密。国内发文机构比较多,发文量最多的机构为郑州大学护理与健康学院,但各个机构间的合作不够紧凑。国外发文量最多的机构为多伦多大学,机构之间合作紧密,其中凯撒医院具有较高的影响力。国内的研究热点主要集中在对个体尤其是老年患者生理、心理及遵医依从性方面的影响,倾向于干预结果。国外研究热点更多地关注脑卒中患者的二级预防及治疗措施方面,探讨如何更好地从源头促进脑卒中患者的康复,倾向于过程及措施方面。国内的研究前沿主要集中在通过多媒体互联网平台来提高恢复期、偏瘫患者的自理能力等方面;国外的研究前沿集中在从源头切断病因更好地提高脑卒中患者的生存质量,减轻预后护理负担,但是对于脑卒中延续护理平台的选择依旧是趋于传统。结论脑卒中延续护理领域正处在快速发展阶段,我国应进一步加大研究力度,拓宽合作领域,聚焦相关研究热点及前沿,从国外研究中汲取精华,以更好地促进我国脑卒中延续护理的发展。
