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Single-neuron projectome-guided analysis reveals the neural circuit mechanism underlying endogenous opioid antinociception

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National Science Review 2024年第07期 106-125页

作者： Yan-Nong Dou Yuan liu Wen-Qun Ding Qing li Hua Zhou ling li Meng-Ting Zhao Zheng-Yi-Qi li Jing Yuan Xiao-Fei Wang Wang-Yuan Zou anan li Yan-Gang Sun Institute of Neuroscience Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology CAS Center for Excellence in Brain Science&Intelligence Technology Chinese Academy of Sciences Department of Biology School of Life Science and TechnologyShanghaiTech University lingang Laboratory University of Chinese Academy of Sciences Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMoE Key Laboratory for Biomedical Photonics Huazhong University of Science and Technology Department of Anesthesiology Xiangya HospitalCentral South University HUST-Suzhou Institute for Brainsmatics JITRI

Endogenous opioid antinociception is a self-regulatory mechanism that reduces chronic pain, but its underlying circuit mechanism remains largely unknown. Here, we showed that endogenous opioid antinociception required the activation of mu-opioid receptors（MORs） in GABAergic neurons of the central amygdala nucleus（CEA） in a persistent-hyperalgesia mouse model. Pharmacogenetic suppression of these CEAMORneurons, which mimics the effect of MOR activation, alleviated the persistent ***, single-neuron projection analysis revealed multiple projectome-based subtypes of CEAMORneurons, each innervating distinct target brain regions. We found that the suppression of axon branches projecting to the parabrachial nucleus（PB） of one subtype of CEAMORneurons alleviated persistent hyperalgesia, indicating a subtype-and axonal-branch-specific mechanism of action. Further electrophysiological analysis revealed that suppression of a distinct CEA-PB disinhibitory circuit controlled endogenous opioid antinociception. Thus, this study identified the central neural circuit that underlies endogenous opioid antinociception, providing new insight into the endogenous pain modulatory mechanisms.

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脊髓损伤病人神经病理性疼痛护理的研究进展

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护理研究 2024年第19期38卷 3513-3517页

作者：詹敏李安安时琳林意婷南方医科大学南方医院广东510080 广东省第二中医院大连市第二人民医院

对脊髓的生理功能、脊髓损伤导致神经病理性疼痛的机制、护理要点及护理模式进行综述,为后续临床工作的开展提供依据。

关键词：脊髓损伤神经病理性疼痛健康教育心理干预护理综述

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A Whole-brain Map of Long-range Inputs to GABAergic Interneurons in the Mouse Caudal Forelimb Area

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Neuroscience Bulletin 2020年第5期36卷 493-505页

作者： Zhuonan Duan anan li Hui Gong Xiangning li Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and TechnologyWuhan 430074China Ministry of Education Key Laboratory for Biomedical Photonics School of Engineering SciencesHuazhong University of Science and TechnologyWuhan 430074China Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics Suzhou 215125China

The caudal forelimb area(CFA)of the mouse cortex is essential in many forelimb movements,and diverse types of GABAergic interneuron in the CFA are distinct in the mediation of cortical inhibition in motor information ***,their long-range inputs remain *** the present study,we combined the monosynaptic rabies virus system with Cre driver mouse lines to generate a whole-brain map of the inputs to three major inhibitory interneuron types in the *** discovered that each type was innervated by the same upstream areas,but there were quantitative differences in the inputs from the cortex,thalamus,and *** the locations of the interneurons in two subregions of the CFA,we discovered that their long-range inputs were remarkably different in distribution and *** whole-brain mapping indicates the existence of parallel pathway organization in the forelimb subnetwork and provides insight into the inhibitory processes in forelimb movement to reveal the structural architecture underlying the functions of the CFA.

关键词： Forelimb area Input circuit Interneuron Parvalbumin Somatostatin Vasoactive intestinal peptide

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Constructing the rodent stereotaxic brain atlas:a survey

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Science China(life Sciences) 2022年第1期65卷 93-106页

作者： Zhao Feng anan li Hui Gong Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMOE Key Laboratory for Biomedical PhotonicsHuazhong University of Science and TechnologyWuhan 430074China HUST-Suzhou Institute for Brainsmatics Suzhou 215123China School of Biomedical Engineering Hainan UniversityHaikou 570228China

The stereotaxic brain atlas is a fundamental reference tool commonly used in the field of *** we provide a brief history of brain atlas development and clarify three key conceptual elements of stereotaxic brain atlasing:brain image,atlas,and *** also refine four technical indices for evaluating the construction of atlases:the quality of staining and labeling,the granularity of delineation,spatial resolution,and the precision of spatial location and ***,we discuss state-of-the-art technologies and their trends in the fields of image acquisition,stereotaxic coordinate construction,image processing,anatomical structure recognition,and publishing:the procedures of brain atlas *** believe that the use of single-cell resolution and micron-level location precision will become a future trend in the study of the stereotaxic brain atlas,which will greatly benefit the development of neuroscience.

关键词： brain atlas stereotaxic cytoarchitecture brainsmatics

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大学生是否真的“断亲”?——基于对544份问卷的分析

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高校辅导员学刊 2024年第3期16卷 57-64,98,99页

作者：李安安郭浩栾海玲广东海洋大学法政学院广东湛江524088 广东海洋大学广东沿海经济带发展研究院广东湛江524088 广东金融学院工商管理学院广东广州510521

“断亲”一词的出现使得亲戚关系式微再次成为重要议题。本文基于调研数据发现:“断亲”现象实际仅存于一成左右的大学生之中;大学生偏好与母系亲戚互动;其与各代际亲戚的互动方式呈现线上与线下差异;其与亲戚互动的主要内容为分享日常... 详细信息

“断亲”一词的出现使得亲戚关系式微再次成为重要议题。本文基于调研数据发现:“断亲”现象实际仅存于一成左右的大学生之中;大学生偏好与母系亲戚互动;其与各代际亲戚的互动方式呈现线上与线下差异;其与亲戚互动的主要内容为分享日常与抒发情感;家庭教育、地理空间和学缘关系对大学生与亲戚互动产生多重影响,互联网使用仅抑制大学生与少数类别亲戚的互动。本文认为尚不可以通过部分社会表象判断大学生群体普遍存在“断亲”现象,应客观理性地看待大学生基于家庭氛围、生活时代、群体特征不同而采取有别传统的亲戚互动行为。

关键词： “断亲” 大学生亲戚互动

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Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging

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Genomics, Proteomics & Bioinformatics 2019年第4期17卷 337-343页

作者： anan li Yue Guan Hui Gong Qingming Luo Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China MOE Key Laboratory for Biomedical Photonics School of Engineering SciencesHuazhong University of Science and TechnologyWuhan 430074China HUST-Suzhou Institute for Brainsmatics JITRI Institute for BrainsmaticsSuzhou 215125China

The brain is recognized as the most complex organ on *** complex neuronal network in the human brain consists of approximately 86 billion neurons and more than one hundred trillion connections[1].Even the mouse brain,which is commonly used as a model in neuroscience studies,contains more than 71 million *** the great efforts made by the neuroscientists,our knowledge about the brain is still limited and studies on small model animals have only provided preliminary results[2–4].To improve the situation,brainsmatics studies try to accelerate neuroscience research by providing a standard whole-brain spatial coordinate system and standardized labeling tools,imaging the brain,as well as discovering new neuronal cell types,neuronal circuits,and brain vascular structures.

关键词： Whole spite coordinate

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基于任务驱动的翻转课堂在本科老年护理学教学中的应用

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中华护理教育 2024年第4期21卷 397-403页

作者：李安安侯云英李惠玲汪小华邬青钱红英吴茵王丽龚兵艳苏州大学护理学院苏州市215006 苏州大学附属第一医院

目的探讨基于任务驱动的翻转课堂教学方法在老年护理学中的教学效果。方法将2017级护理本科生(n=46)作为对照组,采用传统翻转课堂教学方法;将2019级护理本科生(n=50)作为试验组,采用基于任务驱动的翻转课堂教学方法。采用课程考核成绩... 详细信息

目的探讨基于任务驱动的翻转课堂教学方法在老年护理学中的教学效果。方法将2017级护理本科生(n=46)作为对照组,采用传统翻转课堂教学方法;将2019级护理本科生(n=50)作为试验组,采用基于任务驱动的翻转课堂教学方法。采用课程考核成绩、老年人态度量表、老年护理能力自评问卷和教学方法认可度评价问卷评价教学效果,并选取试验组学生进行学习体验的访谈。结果试验组考核成绩优秀率(96%)高于对照组(83%),差异有统计学意义(P=0.002)。试验组教学后对老年人态度总分(142.26±14.21)高于教学前(138.42±15.32),老年护理能力自评得分(78.43±12.28)高于教学前(66.82±12.60),差异均有统计学意义(P<0.05)。学生对教学方法认可度评价问卷各条目评分均在4分(基本同意)以上。访谈结果表明学生学习体验良好。结论在老年护理学教学中采用基于任务驱动的翻转课堂教学能有效改善学生对老年人的态度,提高其老年护理能力,获得学生认可,使其获得积极学习体验。

关键词：老年护理学任务驱动翻转课堂教学效果

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Distinct Characteristics of Odor-evoked Calcium and Electrophysiological Signals in Mitral/Tufted Cells in the Mouse Olfactory Bulb

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Neuroscience Bulletin 2021年第7期37卷 959-972页

作者： Han Xu Chi Geng Xinzhong Hua Penglai liu Jinshan Xu anan li Jiangsu Key Laboratory of Brain Disease and Bioinformation Research Center for Biochemistry and Molecular BiologyXuzhou Medical UniversityXuzhou 221004China School of Medical Information and Engineering Xuzhou Medical UniversityXuzhou 221004China

Fiber photometry is a recently-developed method that indirectly measures neural activity by monitoring Ca^(2+)signals in genetically-identified neuronal *** fiber photometry is widely used in neuroscience research,the relationship between the recorded Ca^(2+)signals and direct electrophysiological measurements of neural activity remains ***,we simultaneously recorded odor-evoked Ca^(2+)and electrophysiological signals[single-unit spikes and local field potentials(LFPs)]from mitral/tufted cells in the olfactory bulb of awake,head-fixed *** evoked responses in all types of signal but the response characteristics(e.g.,type of response and time course)*** Ca^(2+)signal was correlated most closely with power in theβ-band of the *** Ca^(2+)signal performed slightly better at odor classification than high-γoscillations,worse than single-unit spikes,and similarly toβ*** results provide new information to help researchers select an appropriate method for monitoring neural activity under specific conditions.

关键词： Mitral/tufted cells Fiber photometry Electrophysiology Odor representation Olfactory bulb

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Plasticity of Sniffing Pattern and Neural Activity in the Olfactory Bulb of Behaving Mice During Odor Sampling,Anticipation,and Reward

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Neuroscience Bulletin 2020年第6期36卷 598-610页

作者： Penglai liu Tiantian Cao Jinshan Xu Xingfeng Mao Dejuan Wang anan li Jiangsu Key Laboratory of Brain Disease and Bioinformation Research Center for Biochemistry and Molecular BiologyXuzhou Medical UniversityXuzhou 221004China

The olfactory bulb(OB) is the first relay station in the olfactory *** the OB,mitral/tufted cells(M/Ts),which are the main output neurons,play important roles in the processing and representation of odor *** studies focusing on the function of M/Ts at the single-cell level in awake behaving mice have demonstrated that odor-evoked firing of single M/Ts displays transient/long-term plasticity during ***,we tested whether the neural activity of M/Ts and sniffing patterns are dependent on anticipation and reward in awake behaving *** used an odor discrimination task combined with in vivo electrophysiological recordings in awake,head-fixed mice,and found that,while learning induced plasticity of spikes and beta oscillations during odor sampling,we also found plasticity of spikes,beta oscillation,sniffing pattern,and coherence between sniffing and theta oscillations during the periods of anticipation and/or *** results indicate that the activity of M/Ts plays important roles not only in odor representation but also in salience-related events such as anticipation and reward.

关键词： Olfactory bulb In vivo electrophysiological recording Go/no-go Odor representation

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深度学习对膝骨关节炎MRI图像智能分割和测量分析的作用及意义

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中国组织工程研究 2024年第33期28卷 5382-5387页

作者：庾广文谢俊杰梁嘉健刘文刚吴淮李慧洪坤豪李安安郭浩鹏广州中医药大学第五临床医学院广东省广州市510095 广东省第二中医院广东省广州市510095

背景:MRI对诊断早期膝骨关节炎有重要意义。利用深度学习方法进行膝骨关节炎的MRI图像识别和智能分割,是目前人工智能在影像诊断方面的研究热点。目的:通过对膝骨关节炎病例MRI图像的深度学习,能够全自动分割膝关节的股骨、胫骨、髌骨... 详细信息

背景:MRI对诊断早期膝骨关节炎有重要意义。利用深度学习方法进行膝骨关节炎的MRI图像识别和智能分割,是目前人工智能在影像诊断方面的研究热点。目的:通过对膝骨关节炎病例MRI图像的深度学习,能够全自动分割膝关节的股骨、胫骨、髌骨、软骨、半月板、韧带、肌肉及关节积液,并测量膝关节积液体积和肌肉含量。方法:筛选出100个正常膝关节和100个膝骨关节炎患者数据,按照8︰1︰1的比例随机分为训练集(traindataset,n=160)、调优集(validation dataset,n=20)和测试集(test dataset,n=20)。采用Coarse-to-Fine序贯训练的方法训练3D-UNET网络深度学习模型,先训练一个膝关节矢状面MRI粗略分割模型,将得到的粗略分割结果作为掩膜(mask),再训练精细分割模型。输入膝关节矢状面T1WI、T2WI图像和各结构的标注文件,运用DeepLab v3,分割骨、软骨、韧带、半月板、肌肉、积液,最后显示三维重建,显示自动测量结果(肌肉的含量、积液的体积),完成深度学习的应用程序。再筛选出26例正常人和38例膝骨关节炎患者的膝关节MRI数据进行测试验证。结果与结论:①26例正常人中女13例,男13例,平均年龄(34.88±11.75)岁,膝关节中肌肉含量平均值(1051322.94±2007249.00)mL,均值中位数为631165.21 mL;积液的体积平均值(291.85±559.59)mL,均值中位数0 mL。②38例膝骨关节炎患者中女30例,男8例,平均年龄(68.53±9.87)岁;肌肉含量平均值(782409.18±331392.56)mL,均值中位数689105.66 mL;积液的体积平均值(1625.23±5014.03)mL,均值中位数178.72 mL。③正常人的肌肉含量与膝骨关节炎患者的相差不大,差异无显著性意义;而膝骨关节炎患者积液的体积高于正常人,差异有显著性意义(P<0.05)。④提示通过深度学习对膝骨关节炎MRI图像进行智能分割,可摒弃以往手工分割的缺陷;对膝骨关节炎的评估需要更加精细化,将图像分割处理得更加精细,以提高结果的精度。

关键词：膝骨关节炎深度学习图像识别智能分割测量分析

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