端粒长度与认知障碍及其中药治疗的研究现况

认知障碍是指记忆、语言、理解和判断等一个或多个方面的功能障碍,包括轻度认知障碍和各种类型的痴呆症。痴呆症是认知障碍最严重的表现,是一种导致患者日常生活、社会交往和工作能力发生显著变化的综合征。阿尔茨海默病(AD)是最常见的痴呆症类型,其次是血管性痴呆(VD)和其他神经退行性痴呆[1]。已知年龄与认知功能的退化密切相关。     

我国老年人认知水平变化轨迹及其分化

目的 探究影响我国老年人认知水平的变化趋势，分离出年龄、队列效应。方法 基于CLHLS（2002—2018）多重队列追踪数据，以Stata16.0软件为工具，运用分层生长曲线模型进行统计分析。结果 本研究发现，个体行为生活方式、社会经济地位、性别、慢性病数量对认知水平均具有统计学意义；年龄、队列对认知水平的变化具有独立效应；随着年龄的增长，我国老年人认知水平下降，认知水平的城乡、性别差异明显；较年轻出生队列的老年人认知水平较好，认知水平的城乡差异随着队列的年轻化而变大，性别差异在较年轻队列有略微缩小的趋势。结论 影响认知水平因素复杂，认知障碍会增加医疗成本及照护负担，因此需准确把握老年认知水平的变化规律与作用路径，从而为卫生服务、养老保障、长期医疗照护的资源配置提供科学依据。     

基于动脉自旋标记技术的麻痹性痴呆患者脑血流量特点及其与认知障碍相关性

目的探讨麻痹性痴呆（GPI）患者脑血流量（CBF）特点及其与认知障碍的相关性。 方法纳入2018年1月至2019年12月于首都医科大学附属北京地坛医院就诊的GPI患者18例和健康体检者18例（健康对照组），采用蒙特利尔认知评估量表评定认知功能。采用磁共振动脉自旋标记技术扫描评估其各个脑区CBF，并进一步应用Spearman相关分析CBF异常区域与认知功能的相关性。 结果GPI患者蒙特利尔认知评估量表评分低于健康对照组[（16.00 ± 7.19）vs. （27.90 ± 1.21）：t =－7.853、P < 0.001）]。18例GPI患者中，头颅MRI正常5例，脑白质病变1例，脑萎缩9例，3例患者同时存在脑萎缩和脑白质病变。健康对照组头颅MRI均未见异常。GPI患者脑13、14、28、37、38、41、42、43、44、46、48、49、50、51、52、69、70、77、78、83、84、88、109、117、165、166、167、168、169、177、178、179、187、188、211、212、213、214、215、216、219、223、227、237和238区CBF显著高于健康对照组（P均< 0.001）。GPI患者认知障碍中的注意力障碍与脑69、70、77、78、166和168区CBF异常有一定的负相关性（r =－0.476、P = 0.046，r =－0.487、P = 0.034，r =－0.604、P = 0.008，r = －0.545、P = 0.019，r =－0.544、P = 0.02，r =－0.522、P = 0.026）。 结论GPI患者存在全脑血流量升高。GPI患者认知功能障碍中的注意力障碍可能与局部脑区血流量升高有一定相关性。局部CBF越高，注意力障碍越严重。这可能也是GPI发病机制之一。     

肌萎缩侧索硬化伴认知功能障碍的研究进展

认知功能障碍在肌萎缩侧索硬化（ALS）患者中是普遍存在的，ALS伴认知功能障碍常提示预后不良。近年来对ALS患者认知功能障碍的研究取得了一定的进展，本文对ALS伴认知功能障碍的临床特点、生物标志物、遗传学特征和最新治疗进展进行综述，以期为ALS伴认知功能障碍的临床诊疗提供新思路。     

从环境隐喻的角度看外感病的因机证治＊

外感病是感受六淫、疫毒等外界因素引起的疾病，现代医学认为其主要致病因素为细菌或病毒。在以肉身体验为主要认知手段的古代，中医学家不可能发现细菌或病毒的存在，因而中医学家往往以天人相应的整体观来把握认知外感病。由于外感病的发病与传播受到外界气候环境和社会环境的影响，尤与人体的内环境密切相关。有鉴于此，本文从“环境隐喻”的立场出发，对外感病发病的因机证治进行分析。外界的气候环境和社会环境容易被人们感受，而对于古代无法观察人体的内环境，作者借助《论语·季氏将伐颛臾》中“祸起萧墙”的故事，对人体内环境为何与外感病的发病关系密切作以阐释，并通过人参败毒散、达原饮等方证的案例式说明，揭示清理人体内外环境而达治疗外感病的机理。     

U-turn speed is a valid and reliable smartphone-based measure of multiple sclerosis-related gait and balance impairment

BackgroundPeople living with multiple sclerosis (MS) experience impairments in gait and mobility, that are not fully captured with manually timed walking tests or rating scales administered during periodic clinical visits. We have developed a smartphone-based assessment of ambulation performance, the 5 U-Turn Test (5UTT), a quantitative self-administered test of U-turn ability while walking, for people with MS (PwMS).Research questionWhat is the test-retest reliability and concurrent validity of U-turn speed, an unsupervised self-assessment of gait and balance impairment, measured using a body-worn smartphone during the 5UTT?Methods76 PwMS and 25 healthy controls (HCs) participated in a cross-sectional non-randomised interventional feasibility study. The 5UTT was self-administered daily and the median U-turn speed, measured during a 14-day session, was compared against existing validated in-clinic measures of MS-related disability.ResultsU-turn speed, measured during a 14-day session from the 5UTT, demonstrated good-to-excellent test-retest reliability in PwMS alone and combined with HCs (intraclass correlation coefficient [ICC] = 0.87 [95 % CI: 0.80–0.92]) and moderate-to-excellent reliability in HCs alone (ICC = 0.88 [95 % CI: 0.69–0.96]). U-turn speed was significantly correlated with in-clinic measures of walking speed, physical fatigue, ambulation impairment, overall MS-related disability and patients’ self-perception of quality of life, at baseline, Week 12 and Week 24. The minimal detectable change of the U-turn speed from the 5UTT was low (19.42 %) in PwMS and indicates a good precision of this measurement tool when compared with conventional in-clinic measures of walking performance.SignificanceThe frequent self-assessment of turn speed, as an outcome measure from a smartphone-based U-turn test, may represent an ecologically valid digital solution to remotely and reliably monitor gait and balance impairment in a home environment during MS clinical trials and practice.     

Comparing different pre-processing routines for infant fNIRS data

Functional Near Infrared Spectroscopy (fNIRS) is an important neuroimaging technique in cognitive developmental neuroscience. Nevertheless, there is no general consensus yet about best pre-processing practices. This issue is highly relevant, especially since the development and variability of the infant hemodynamic response (HRF) is not fully known. Systematic comparisons between analysis methods are thus necessary. We investigated the performance of five different pipelines, selected on the basis of a systematic search of the infant NIRS literature, in two experiments. In Experiment 1, we used synthetic data to compare the recovered HRFs with the true HRF and to assess the robustness of each method against increasing levels of noise. In Experiment 2, we analyzed experimental data from a published study, which assessed the neural correlates of artificial grammar processing in newborns. We found that with motion artifact correction (as opposed to rejection) a larger number of trials were retained, but HRF amplitude was often strongly reduced. By contrast, artifact rejection resulted in a high exclusion rate but preserved adequately the characteristics of the HRF. We also found that the performance of all pipelines declined as the noise increased, but significantly less so than if no pre-processing was applied. Finally, we found no difference between running the pre-processing on optical density or concentration change data. These results suggest that pre-processing should thus be optimized as a function of the specific quality issues a give dataset exhibits.     

Enhancing medical radiation science education through a design science research methodology

Recently, there has been a call for research-informed and research-developed practice in health sciences education. This prompts the consideration of alternative suitable research approaches that could be used to enhance health sciences education practice, including medical radiation sciences education (MRSE) practice. In this discussion paper, the authors uphold design science research (DSR) methodology as a suitable research approach to enhance MRSE practice and research. An overview of the DSR methodology and an example of a project that used DSR methodology are presented to demonstrate the application of this methodology in MRSE practice and research. The paper concludes that the use of DSR methodology could be instrumental in addressing practice related challenges while developing a theoretical contribution to the discipline.