哺乳动物嗅球的神经网络

嗅球(olfactory bulb,OB)是哺乳动物嗅觉感知的第一级中转站,但是OB不只是对嗅觉信息作简单的传递,嗅觉信息受OB内神经环路的动态调节,并转变为时空特异的神经活动信息后才传递给下一级嗅皮层。由于OB可以处理来自于不同气味受体的将近1 000个不同通道的信息输入,也接受了大量的离心输入,同时,还表达了多种激素的受体,因此,OB提供了一个研究神经网络在功能和发育上极为特异的理想模型。现综述了哺乳动物OB的细胞构筑、局部神经微环路、嗅球到不同嗅皮层的向心输入、嗅球接收来自于嗅皮层和脑干调制类的离心输入以及各条神经环路可能的功能和对气味感知的影响。     

哺乳动物主要嗅觉系统和犁鼻系统信息识别的编码模式

哺乳动物具有两套嗅觉系统, 即主要嗅觉系统和犁鼻系统。前者对环境中的大多数挥发性化学物质进行识别, 后者对同种个体释放的信息素进行识别。本文从嗅觉感受器、嗅球、嗅球以上脑区三个水平综述了这两种嗅觉系统对化学信息识别的编码模式。犁鼻器用较窄的调谐识别信息素成分, 不同于嗅上皮用分类性合并受体的方式识别气味; 副嗅球以接受相同受体输入的肾丝球所在区域为单位整合信息, 而主嗅球通过对肾丝球模块的特异性合并编码信息; 在犁鼻系统, 信息素的信号更多地作用于下丘脑区域, 引起特定的行为和神经内分泌反应。而在主要嗅觉系统, 嗅皮层可能采用时间模式编码神经元群, 对气味的最终感受与脑的不同区域有关。犁鼻系统较主要嗅觉系统的编码简单, 可能与其执行的功能较少有关。     

鱼类嗅觉系统和性信息素受体的研究进展

鱼类嗅觉系统包括外部嗅觉器官、嗅神经和嗅球三个部分.嗅觉器官也称为嗅囊,由嗅上皮和髓质组成.气味物质的化学信息主要由嗅上皮上随机分布的嗅觉感受神经元感知,通过嗅神经将嗅觉信息传递到嗅球,嗅球在空间上有不同的功能分区,嗅觉信息经过嗅球各分区整合后分别传入端脑,发挥其生理功能.性信息素在鱼类生殖过程中的作用是通过嗅觉系统来完成的,其中嗅觉感受神经元上的性信息素受体起着重要作用.鱼类性信息素受体的研究主要从两个方面入手,一是从低浓度特异的性信息素引起嗅觉器官电生理反应或行为反应入手,寻找特异的性信息素受体;二是参照哺乳动物嗅觉受体的研究结果,从嗅觉受体基因遗传保守性入手,研究鱼类性信息素受体的结构与功能.     

嗅球对嗅觉信息的处理

哺乳动物的嗅觉系统拥有惊人的能力,它可以识别和分辨成千上万种分子结构各异的气味分子。这种识别能力是由基因决定的。近年来,分子生物学和神经生理学的研究使得我们对嗅觉识别的分子基础和嗅觉系统神经连接的认识有了质的飞跃。气味分子的识别是由一千多种气味受体完成的,鼻腔中的嗅觉感觉神经元表达这些气味受体基因。每个感觉神经元只表达一种气味受体基因。表达同种气味受体的感觉神经元投射到嗅球表面的一个或几个嗅小球中,从而在嗅球中形成一个精确的二维连接图谱。了解嗅球对气味信息的加工和处理方式是我们研究嗅觉系统信号编码的一个重要环节。文章概述并总结了有关嗅球信号处理的最新研究成果。     

中缝核5-羟色胺能神经投射对嗅球调制效应的研究进展

中缝核5-羟色胺能神经元通过其广泛的神经投射影响大脑多方面的功能,包括抑郁和焦虑、睡眠-觉醒周期、奖赏、决策中的耐心以及性别取向等.背侧中缝核和中央中缝核的5-羟色胺能神经元对嗅球有密集的神经投射,从而调控嗅觉信息的初步表征和编码.近年来,随着电生理、光学成像及光遗传技术的应用,关于中缝核5-羟色胺能神经元对嗅球的调制作用研究不断出现,大量离体和在体实验证据表明中缝核5-羟色胺能神经元对嗅球及嗅觉相关行为有广泛的调制.本文从嗅球不同神经元类型角度,就中缝核5-羟色胺能神经投射对嗅球的调控作用及其神经机制研究进展进行了总结.     

自身运动感知中视觉-前庭整合的研究进展

日常生活中,机体利用自己的感官,以不同的感觉通路(视觉、听觉、味觉、嗅觉、触觉、前庭觉和本体觉等)获取环境中的信息以及自身相对于环境的信息,输入大脑进行加工处理,并作出反应。这些不同模态的感觉输入信息在大脑中存在跨模态(cross-modal,如视觉和听觉、听觉和嗅觉,甚至跨越三种或更多感觉模态信息)相互整合,从而对动物的感知、运动、学习记忆和决策等起着非常重要的作用。在过去的十几年里,多感觉整合研究领域吸引了一批学科交叉的科学研究人员,极大地推进了这一研究领域的发展。本文着重介绍自身运动感知过程中视觉和前庭信息整合机制的研究进展,分别从多感觉整合发生的脑区、神经元对多感觉信息的编码特性以及神经元活动与行为的关系三个方面进行综述,并对未来的研究方向进行展望。     

阿尔茨海默病嗅觉障碍研究进展

阿尔茨海默病(Alzheimer’s disease,AD)患者在出现认知功能障碍之前,普遍表现出嗅觉相关功能障碍,而且嗅觉系统病变程度与AD进展密切相关。因此,嗅觉系统功能障碍可能成为早期诊断AD及评价其进展的指标。近几年通过对AD患者和AD转基因动物模型的研究发现,嗅觉系统可能是AD退行性病变的始发部位,而且具有从外周向中枢发展的趋势,即病变首先发生于嗅觉系统的近外周部分(嗅上皮、嗅球等),然后发展至嗅皮层(梨状皮层、内嗅皮层等),进而累及海马和新皮层区等。此外,AD病理改变的这种时空模式与嗅觉相关行为障碍、神经通路及递质的改变等具有很高的相关性。重点综述了以上方面的研究结果。     

封面故事

哺乳动物的嗅觉系统由嗅上皮、嗅球和更高级的嗅觉中枢组成。直接探测气味分子的细胞——嗅感觉神经元位于鼻腔内的嗅上皮上。嗅感觉神经元的纤毛上表达很多气味受体蛋白,这些蛋白可以检测进入鼻腔的气味分子。每个嗅感觉神经元只表达一种特定的气味受体。表达一种气味受体的嗅感觉神经元投射到嗅球中的一到两个嗅小球中,一     

昆虫嗅觉神经的计算机三维重建

基于激光扫描共聚焦显微镜平台的计算机三维重建在昆虫嗅觉神经研究中发挥了重要作用。对经荧光标记的神经组织采集系列光学切片并进行三维重建,在双翅目、鳞翅目、膜翅目、蜚蠊目昆虫中均有进展。触角叶是昆虫的初级嗅觉中心,触角叶的解剖学图谱是识别不同种和雌雄虫间嗅球体特定功能的先决条件。了解构成嗅觉传输途径的主要神经元的形态和空间关系是理解气味信息在中枢神经系统编码的基础。三维重建昆虫的嗅觉神经,对于探讨昆虫嗅觉在其寄主选择、觅食以及寻找配偶等行为中的作用具有非常重要的意义。     

fMRI在视觉研究中的应用和进展

视觉研究对于揭示大脑的奥秘有着极其重要的意义.功能性磁共振成像（functional magnetic resonance imaging,fMRI）用于研究人脑的功能结构,主要是基于静脉毛细血管内血氧浓度的变化.fMRI可以无损伤地在几毫米级的空间分辨率和少于1 s的时间分辨率上观察清醒状态下人脑的活动,因此自90年代以来fMRI已经成为研究人脑的重要方法.fMRI在视觉研究中的应用已经使人们对视觉系统的功能性组织有了更好的理解,并取得了很多成果.今后的研究方向是进一步探讨人脑的意识、注意、记忆等高级功能的神经机制.     

Developing and maintaining a nose-to-brain map of odorant identity

Olfactory sensory neurons (OSNs) in the olfactory epithelium of the nose transduce chemical odorant stimuli into electrical signals. These signals are then sent to the OSNs'' target structure in the brain, the main olfactory bulb (OB), which performs the initial stages of sensory processing in olfaction. The projection of OSNs to the OB is highly organized in a chemospatial map, whereby axon terminals from OSNs expressing the same odorant receptor (OR) coalesce into individual spherical structures known as glomeruli. This nose-to-brain map of odorant identity is built from late embryonic development to early postnatal life, through a complex combination of genetically encoded, OR-dependent and activity-dependent mechanisms. It must then be actively maintained throughout adulthood as OSNs experience turnover due to external insult and ongoing neurogenesis. Our review describes and discusses these two distinct and crucial processes in olfaction, focusing on the known mechanisms that first establish and then maintain chemospatial order in the mammalian OSN-to-OB projection.     

Imaging odor-evoked activities in the mouse olfactory bulb using optical reflectance and autofluorescence signals

In the brain, sensory stimulation activates distributed populations of neurons among functional modules which participate to the coding of the stimulus. Functional optical imaging techniques are advantageous to visualize the activation of these modules in sensory cortices with high spatial resolution. In this context, endogenous optical signals that arise from molecular mechanisms linked to neuroenergetics are valuable sources of contrast to record spatial maps of sensory stimuli over wide fields in the rodent brain. Here, we present two techniques based on changes of endogenous optical properties of the brain tissue during activation. First the intrinsic optical signals (IOS) are produced by a local alteration in red light reflectance due to: (i) absorption by changes in blood oxygenation level and blood volume (ii) photon scattering. The use of in vivo IOS to record spatial maps started in the mid 1980's with the observation of optical maps of whisker barrels in the rat and the orientation columns in the cat visual cortex(1). IOS imaging of the surface of the rodent main olfactory bulb (OB) in response to odorants was later demonstrated by Larry Katz's group(2). The second approach relies on flavoprotein autofluorescence signals (FAS) due to changes in the redox state of these mitochondrial metabolic intermediates. More precisely, the technique is based on the green fluorescence due to oxidized state of flavoproteins when the tissue is excited with blue light. Although such signals were probably among the first fluorescent molecules recorded for the study of brain activity by the pioneer studies of Britton Chances and colleagues(3), it was not until recently that they have been used for mapping of brain activation in vivo. FAS imaging was first applied to the somatosensory cortex in rodents in response to hindpaw stimulation by Katsuei Shibuki's group(4). The olfactory system is of central importance for the survival of the vast majority of living species because it allows efficient detection and identification of chemical substances in the environment (food, predators). The OB is the first relay of olfactory information processing in the brain. It receives afferent projections from the olfactory primary sensory neurons that detect volatile odorant molecules. Each sensory neuron expresses only one type of odorant receptor and neurons carrying the same type of receptor send their nerve processes to the same well-defined microregions of ?100μm(3) constituted of discrete neuropil, the olfactory glomerulus (Fig. 1). In the last decade, IOS imaging has fostered the functional exploration of the OB(5, 6, 7) which has become one of the most studied sensory structures. The mapping of OB activity with FAS imaging has not been performed yet. Here, we show the successive steps of an efficient protocol for IOS and FAS imaging to map odor-evoked activities in the mouse OB.     

Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models

The majority of olfaction studies focus on orthonasal stimulation where odors enter via the front nasal cavity, while retronasal olfaction, where odors enter the rear of the nasal cavity during feeding, is understudied. The coding of retronasal odors via coordinated spiking of neurons in the olfactory bulb (OB) is largely unknown despite evidence that higher level processing is different than orthonasal. To this end, we use multi-electrode array in vivo recordings of rat OB mitral cells (MC) in response to a food odor with both modes of stimulation, and find significant differences in evoked firing rates and spike count covariances (i.e., noise correlations). Differences in spiking activity often have implications for sensory coding, thus we develop a single-compartment biophysical OB model that is able to reproduce key properties of important OB cell types. Prior experiments in olfactory receptor neurons (ORN) showed retro stimulation yields slower and spatially smaller ORN inputs than with ortho, yet whether this is consequential for OB activity remains unknown. Indeed with these specifications for ORN inputs, our OB model captures the salient trends in our OB data. We also analyze how first and second order ORN input statistics dynamically transfer to MC spiking statistics with a phenomenological linear-nonlinear filter model, and find that retro inputs result in larger linear filters than ortho inputs. Finally, our models show that the temporal profile of ORN is crucial for capturing our data and is thus a distinguishing feature between ortho and retro stimulation, even at the OB. Using data-driven modeling, we detail how ORN inputs result in differences in OB dynamics and MC spiking statistics. These differences may ultimately shape how ortho and retro odors are coded.     

An olfactory neuronal network for vapor recognition in an artificial nose

Odorant sensitivity and discrimination in the olfactory system appear to involve extensive neural processing of the primary sensory inputs from the olfactory epithelium. To test formally the functional consequences of such processing, we implemented in an artificial chemosensing system a new analytical approach that is based directly on neural circuits of the vertebrate olfactory system. An array of fiber-optic chemosensors, constructed with response properties similar to those of olfactory sensory neurons, provide time-varying inputs to a computer simulation of the olfactory bulb (OB). The OB simulation produces spatiotemporal patterns of neuronal firing that vary with vapor type. These patterns are then recognized by a delay line neural network (DLNN). In the final output of these two processing steps, vapor identity is encoded by the spatial patterning of activity across units in the DLNN, and vapor intensity is encoded by response latency. The OB-DLNN combination thus separates identity and intensity information into two distinct codes carried by the same output units, enabling discrimination among organic vapors over a range of input signal intensities. In addition to providing a well-defined system for investigating olfactory information processing, this biologically based neuronal network performs better than standard feed-forward neural networks in discriminating vapors when small amounts of training data are used. Received: 30 June 1997 / Accepted in revised form: 12 January 1998     

Olfactory networks: from sensation to perception

Olfactory networks, comprised of sensory neurons and interneurons, detect and process changes in the chemical environment to drive animal behavior. Recent studies combining genetics with behavioral analyses and imaging in worms, flies and mice have revealed new insights into the mechanisms of olfaction. In this discussion, we focus on three interesting findings. First, sensory neuron responses to odor are modulated by neuropeptides. This modulation might serve to extend the range of responses of the sensory neurons and also to integrate internal state information into the chemosensory circuit. Second, genetic tracing studies in mice and flies have shown that the first layer of connections in chemosensory circuits from olfactory epithelium to the glomeruli are stereotyped, while the subsequent connections to higher order sensory processing regions are not. Distributed connectivity to the higher order sensory processing regions has profound implications for how odors are represented in those regions. Third, recent work has revealed that odors are surprisingly sparsely represented in the piriform cortex. The sparse coding in the higher brain centers implies a much greater role for experience and learning in mediating responses to olfactory cues. Analyzing olfactory network function in various species provides us with fascinating clues about how sensory information is acquired, processed and represented at multiple levels within the nervous system.     

A unique cell population in the mouse olfactory bulb displays nuclear beta-catenin signaling during development and olfactory sensory neuron regeneration

Olfactory sensory neurons (OSNs) in the nose form precise connections with neurons in the brain. However, mechanisms that account for the formation of such precise neuronal connections are incompletely understood. Recent studies implicate the function of Wnt growth factors in the formation of neuronal connections. To assess the role of Wnt signaling in the olfactory system, we examined the expression of beta-galactosidase (beta-gal) in the TOPGAL mouse, a transgenic strain in which beta-gal expression reports the activation of the canonical Wnt signaling pathway. In the olfactory epithelium, no beta-gal expression was observed at any developmental stages. In the olfactory bulb (OB), beta-gal expression was observed in a population of cells located at the interface of the olfactory nerve layer and the glomerular layer. The beta-gal expression was developmentally regulated with the peak expression occurring at late embryonic and early postnatal stages and a greatly reduced expression in adulthood. Further, forced OSN regeneration and subsequent reinnervation of the OB led to a reactivation of beta-gal expression in mature animals. The temporal coincidence between the peak of beta-gal expression and formation of OSN connections, together with the spatial localization of these cells, suggests a potential role of these cells and canonical Wnt signaling in the formation of OSN connections in the OB during development and regeneration.