应用激光共聚焦扫描技术对海马脑片神经元内钙的观察

用微量注射法将荧光剂Ｆｌｕｏ－３注入大鼠海马,对神经元进行在体荧光标记,可清晰地标记多个神经细胞。联合应用激光共聚焦扫描显微镜,观察大鼠海马脑片ＣＡ１锥体细胞在青霉素,谷氨酸模拟致痫及缺糖缺氧时胞内钙的变化。结果显示：无镁时,谷氨酸和青霉素可致海马ＣＡ１锥体细胞胞内钙的缓慢增加;离体缺糖缺氧时ＣＡ１锥体细胞胞内钙亦增多。     

高钙引起的学习记忆障碍与突触界面结构参数的变化

本研究选用１月龄小鼠,观察了海马内注射ＣａＣｌ２造成高钙水平对小鼠学习和记忆行为的影响,并对海马ＣＡ３区进行突触超微结构定量分析。结果表明,与对照组相比：（１）ＣａＣｌ２组小鼠一次性被动回避反应的步入潜伏期有缩短的趋势,说明该组小鼠记忆减弱;同时Ｙ－迷宫分辨学习能力也显著下降（Ｐ〈０．０１）;（２）ＣａＣｌ２组海马ＣＡ３区突触后致密物质极显著变薄（Ｐ〈０．００１）,而突触间隙宽度显著增大（Ｐ〈０．     

SAMP8小鼠中枢皮质酮水平升高兴奋性氨基酸含量的影响

用放射免疫法和高效液相色谱法电化学检测器分别测定了ＳＡＭＰ８小鼠血浆，大脑皮层，海马，下丘脑皮质酮水平和大脑皮层，海马兴奋性氨基酸含量。结果显示，ＳＡＭＰ８小鼠血浆ＣＯＲＴ水平均显著高于其同龄正常ＳＡＭＲ１ＳＡＭＰ８小鼠８月和１２月龄大脑皮层和海马ＣＯＲ５水平也明显主于同龄正常对照ＳＡＭＲ１小鼠。同时ＳＡＭＰ８小鼠大脑皮层和海马谷氨酸含量有上升趋势，谷氨酰胺含量则明显主于ＳＡＭＲ１小鼠。     

急性重复缺氧对大鼠海马电活动的影响

本实验以大鼠喘呼吸的出现为重复缺氧时每次缺氧耐受极限（下次缺氧开始的标志）,观察重复缺氧对海马ＣＡ１、ＣＡ３区群锋电位（ｐｏｐｕｌａｔｉｏｎｓｐｉｋｅ,ＰＳ）及海马脑电图的影响。结果表明,首次缺氧早期,刺激同侧隔区所诱发ＣＡ１和ＣＡ３的ＰＳ幅值无明显变化。随着缺氧程度的加深,ＣＡ１和ＣＡ３的ＰＳ幅值逐渐降低,ＣＡ１－ＰＳ于缺氧８ｍｉｎ时消失,此时ＣＡ３－ＰＳ为缺氧前的６０％;海马脑电图θ慢波的波幅和频率也随着缺氧的加深而降低。随着缺氧重复次数的增加,耐受时间逐次延长,ＣＡ１－ＰＳ和ＣＡ３－ＰＳ幅度均逐次降低,到第４次缺氧时,维持在很低水平。ＣＡ１－ＰＳ于缺氧１４ｍｉｎ时消失,此时ＣＡ３的ＰＳ为缺氧前的５％,缺氧１６─１８ｍｉｎ时ＣＡ３－ＰＳ才消失;ＣＡｌ区海马脑电图经常表现为自发性放电,而ＣＡ３区则表现低幅低频慢波。结果提示,重复缺氧时缺氧耐受性的逐次增高与海马电活动逐次抑制相关,重复缺氧使海马ＣＡ１、ＣＡ３区缺氧耐受性差异增大。     

海马内生长抑素与γ－氨基丁酸在大鼠穿梭箱主动回避反应中的作用

本实验以大鼠穿梭箱主动回避反应（ＡＡＲ）的习得和消退为学习记忆的指标,研究了海马内生长抑素（ＳＳ）和γ－氨基丁酸（ＧＡＢＡ）在学习记忆中的作用。结果如下：（１）经训练而建立了ＡＡＲ的大鼠,其海马内ＳＳ较对照组显著增高,而海马内ＧＡＢＡ含量却明显降低;（２）海马内注入ＳＳ的耗竭剂半胱胺（Ｃｙｓ,２０ｇ／Ｌ）使大鼠ＡＡＲ的习得受到明显损害,ＡＡＲ的消退显著加速,海马内ＳＳ明显降低,而ＧＡＢＡ含量却显著升高;（３）海马内注入ＧＡＢＡ（２００ｇ／Ｌ）使大鼠ＡＡＲ的消退显著加速的同时,其海马内ＳＳ含量亦显著降低。由此表明,海马内ＳＳ可能有促进学习记忆的作用,而海马内ＧＡＢＡ升高则有相反的效应;二者在海马调控学习记忆过程中具有重要作用。     

海马内移植颈上神经节组织改善穹窿－海马伞横切大鼠的记忆功能

３８只Ｗｉｓｔａｒ大鼠双侧穹窿－海马伞损伤后．以被动回避反应为指标观察到记忆明显受损,与损伤前相比,有记忆动物自６５．３％降至１３．６％,两者差别非常显著。于穹窿－海马伞损伤后记忆丧失动物（ｎ＝１５）自体一侧分离出颈上神经节（ＳＣＧ）,切为２－３块并在室温下孵育于２０—５０μｇ／ｍｌ２．５ｓＮＧＦ中１—２ｈ,而后移植于自体双侧海马背侧,移植４周后观察到动物记忆明显恢复,恢复记忆的动物数占７３．３％。在行为实验基础上应用荧光组化方法检查了移植细胞成活情况并测量了海马内去甲肾上腺素（ＮＡ）的含量。移植后２周海马内ＮＡ含量比损伤组有明显上升。移植后一个月,可见部分移植细胞成活并有神经纤维生长。实验表明．穹窿－海马伞损伤大鼠海马内自体移植ＳＣＧ,通过神经递质的局部补充对动物丧失的记忆能力具有一定改善作用。     

脑内胆碱能M受体和肾上腺素能α_2受体与老年记忆衰退的关系

很多资料表明中枢胆碱能系统的变化在老年记忆减退中起重要作用。有人发现海马与大脑皮层中胆碱能M受体的明显减少可能是正常老年记忆衰退的指标。但是越来越多的学者认为记忆功能的机理不只是胆碱能系统的作用,而是多种神经递质系统与神经活性物质共同协调和制约的结果,如有人观察到大脑皮层和海马肾上腺素能神经元的退变与记忆衰退有密切的关系。本文试图同时测定老年大鼠的大脑皮层、海马和下丘脑内M受体以及α_2肾上腺素能受体     

新生大鼠海马分区培养神经元对缺氧反应的差异

本文以混合培养海马神经元技术为基础,通过改进解剖方法、摸索鼠龄与存活率之间的关系,成功地进行了海马神经凶的分区培养。同时采用同视野跟踪记数法、激光扫描共降焦显微镜测钙和原位杂交等技术,研究了缺氧条件下培养的海马ＣＡ１和ＤＧ神经元存在活率、细胞内游离钙和脑源性神经营养因子（ＢＤＮＦ）ｍＲＮＡ表达水平等指标上变化的差异。结果表明,在相同的缺氧条件下,ＤＧ细胞比ＣＡ１细胞损伤轻微并且具有比ＣＡ１细胞更强     

海马内生长抑素与γ—氨基丁酸在大鼠穿梭箱主动回避反应…

本实验以大鼠穿梭箱主动回避反应（ＡＡＲ）的习得和消退为学习记忆的指标,研究了海马内生长抑素（ＳＳ）和γ－氨基丁酸（ＧＡＢＡ）在学习记忆中的作用。结果如下：（１）经训练而建立了ＡＡＲ的大鼠,其海马内ＳＳ较对照组显著增高,而海马内ＧＡＢＡ含量去明显降低;（２）海马内注入ＳＳ的耗竭剂半胱胺使大鼠ＡＡＲ的习得受到明显损害,ＡＡＲ的消退显著加速,海马内ＳＳ明显降低,而ＧＡＢＡ含量去显著升高;（３）海马内注入     

地塞米松对大白鼠海马兴奋性神经元和抑制性神经元的影响

为了探讨糖皮质激素对海马兴奋性神经元和抑制性神经元的作用,本实验将地塞米松注入大白鼠侧脑室,２ｈ 后经Ｎｉｓｓｌ染色法、免疫组织化学方法和细胞计数法观察了海马谷氨酸免疫反应性（ＧｌｕＩＲ）神经元和γ氨基丁酸免疫反应性（ＧＡＢＡＩＲ）神经元的变化。结果显示：（１）ＣＡ１、ＣＡ３ 和ＳＧ区的ＧｌｕＩＲ神经元明显增多,特别是ＣＡ１ 区。经细胞计数统计分析表明,与对照组相比ＣＡ１ 有极显著性差异（Ｐ＜ ０００１）,ＣＡ３区有显著性差异（００１＜ Ｐ＜ ００５）,ＳＧ处无明显差异（Ｐ＞ ００５）。（２）与对照组相比,ＧＡＢＡＩＲ神经元无明显变化。结果表明,糖皮质激素有增加海马谷氨酸能神经元的作用。尽管γ氨基丁酸能神经元无明显变化,并不表明糖皮质激素对其无影响     

具有竞争指针的短时记忆神经网络模型

在我们以前提出的短时记忆神经网络模型基础上［３］,我们在新模型中引入突触竞争机制,提出了一个新的短时记忆神经网络模型。模型仍由两个神经网络所组成;其一为与长时记忆共有的信息内容表达网络,另一个为指针神经元环路。由于表达区神经元与指针神经元间的突触权重的竞争,使得模型可以表现出由干扰引起的短时记忆的遗忘。相应于自由回忆序列位置效应和汉字组块两个心理学实验,对模型做了计算机仿真。仿真结果显示模型的行为与两个心理实验定量地符合得很好。由此表明现在的模型更合适于作为短时记忆的模型。     

Testing neural network models of memory with behavioral experiments

In recent years, a number of computational neural networks have been proposed aimed at describing memory functions associated with different subregions of the hippocampus, namely dentate gyrus, CA3 and CA1. Recent evidence suggests that indeed specific subregions of the hippocampus may subserve different computational functions, such as spatial and temporal pattern separation, short-term or working memory, pattern association, and temporal pattern completion.     

Regulation of histone acetylation during memory formation in the hippocampus

Formation of long term memory begins with the activation of many disparate signaling pathways that ultimately impinge on the cellular mechanisms regulating gene expression. We investigated whether mechanisms regulating chromatin structure were activated during the early stages of long term memory formation in the hippocampus. Specifically, we investigated hippocampal histone acetylation during the initial stages of consolidation of long term association memories in a contextual fear conditioning paradigm. Acetylation of histone H3 in area CA1 of the hippocampus was regulated in contextual fear conditioning, an effect dependent on activation of N-methyl-D-aspartic acid (NMDA) receptors and ERK, and blocked using a behavioral latent inhibition paradigm. Activation of NMDA receptors in area CA1 in vitro increased acetylation of histone H3, and this effect was blocked by inhibition of ERK signaling. Moreover, activation of ERK in area CA1 in vitro through either the protein kinase C or protein kinase A pathways, biochemical events known to be involved in long term memory formation, also increased histone H3 acetylation. Furthermore, we observed that elevating levels of histone acetylation through the use of the histone deacetylase inhibitors trichostatin A or sodium butyrate enhanced induction of long term potentiation at Schaffer-collateral synapses in area CA1 of the hippocampus, a candidate mechanism contributing to long term memory formation in vivo. In concert with our findings in vitro, injection of animals with sodium butyrate prior to contextual fear conditioning enhanced formation of long term memory. These results indicate that histone-associated heterochromatin undergoes changes in structure during the formation of long term memory. Mimicking memory-associated changes in heterochromatin enhances a cellular process thought to underlie long term memory formation, hippocampal long term potentiation, and memory formation itself.     

Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits

In the hippocampus, episodic memories are thought to be encoded by the formation of ensembles of synaptically coupled CA3 pyramidal cells driven by sparse but powerful mossy fiber inputs from dentate gyrus granule cells. The neuromodulators acetylcholine and noradrenaline are separately proposed as saliency signals that dictate memory encoding but it is not known if they represent distinct signals with separate mechanisms. Here, we show experimentally that acetylcholine, and to a lesser extent noradrenaline, suppress feed-forward inhibition and enhance Excitatory–Inhibitory ratio in the mossy fiber pathway but CA3 recurrent network properties are only altered by acetylcholine. We explore the implications of these findings on CA3 ensemble formation using a hierarchy of models. In reconstructions of CA3 pyramidal cells, mossy fiber pathway disinhibition facilitates postsynaptic dendritic depolarization known to be required for synaptic plasticity at CA3-CA3 recurrent synapses. We further show in a spiking neural network model of CA3 how acetylcholine-specific network alterations can drive rapid overlapping ensemble formation. Thus, through these distinct sets of mechanisms, acetylcholine and noradrenaline facilitate the formation of neuronal ensembles in CA3 that encode salient episodic memories in the hippocampus but acetylcholine selectively enhances the density of memory storage.     

Functional diversity along the transverse axis of hippocampal area CA1

Decades of neuroscience research have shed light on the hippocampus as a key structure for the formation of episodic memory. The hippocampus is divided into distinct subfields – CA1, CA2 and CA3. While accumulating evidence points to cellular and synaptic heterogeneity within each subfield, this heterogeneity has not received much attention in computational and behavioural studies and subfields have until recently been considered functionally uniform. However, a couple of recent studies have demonstrated prominent functional differences along the proximodistal axis of the CA1 subfield. Here, we review anatomical and physiological differences that might give rise to heterogeneity along the proximodistal axis of CA1 as well as the functional implications of such heterogeneity. We suggest that such heterogeneity in CA1 operates dynamically in the sense that the CA1 network alternates, on a subsecond scale, between a state where the network is primarily responsive to functionally segregated direct inputs from entorhinal cortex and a state where cells predominantly are controlled by more integrated inputs from CA3.     

A local circuit-basis for spatial navigation and memory processes in hippocampal area CA1

The hippocampus is a multi-stage neural circuit that is critical for memory formation. Its distinct anatomy has long inspired theories that rely on local interactions between neurons within each subregion in order to perform serial operations important for memory encoding and storage. These local computations have received less attention in CA1 area, the primary output node of the hippocampus, where excitatory neurons are thought to be only very sparsely interconnected. However, recent findings have demonstrated the power of local circuitry in CA1, with evidence for strong functional interactions among excitatory neurons, regulation by diverse inhibitory microcircuits, and novel plasticity rules that can profoundly reshape the hippocampal ensemble code. Here we review how these properties expand the dynamical repertoire of CA1 beyond the confines of feedforward processing, and what implications they have for hippocampo-cortical functions in memory formation.     

Neuronal networks and memory: role of the hippocampus

Learning and memory are related both to cognitive processes and to neurobiological mechanisms. The human pathology focused on the role of the hippocampus and animal experiments have analyzed its implications. The most usually admitted hypothesis is that memories are underlied by distributed specific neural networks defined through the strengthening of certain synapses, under the action of the flow of information during learning. The best candidate for this strengthening of the synapses is a change in synaptic plasticity similar to the artificial phenomenon of long-term potentiation. During memory processes, the hippocampus would play a particular role in information processing (analyzing novelty and significance of the information) and would allow the specification of the neural network, mainly in the cortical territories. We report data in olfactory learning in rats comforting these hypotheses. Considering neurochemistry of memory processes, specific synaptic changes and neuromodulatory processes must be distinguished. We report data about vasopressin illustrating both kinds of mechanisms in the hippocampus.     

Network bursting using experimentally constrained single compartment CA3 hippocampal neuron models with adaptation

The hippocampus is a brain structure critical for memory functioning. Its network dynamics include several patterns such as sharp waves that are generated in the CA3 region. To understand how population outputs are generated, models need to consider aspects of network size, cellular and synaptic characteristics and context, which are necessarily 'balanced' in appropriate ways to produce particular outputs. Thick slice hippocampal preparations spontaneously produce sharp waves that are initiated in CA3 regions and depend on the right balance of glutamatergic activities. As a step toward developing network models that can explain important balances in the generation of hippocampal output, we develop models of CA3 pyramidal cells. Our models are single compartment in nature, use an Izhikevich-type structure and involve parameter values that are specifically designed to encompass CA3 intrinsic properties. Importantly, they incorporate spike frequency adaptation characteristics that are directly comparable to those measured experimentally. Excitatory networks using these model cells are able to produce bursting suggesting that the amount of spike frequency adaptation expressed in the biological cells is an essential contributor to network bursting, and as such, may be important for sharp wave generation. The network bursting mechanism is numerically dissected showing the critical balance between adaptation and excitatory drive. The compact nature of our models allows large network simulations to be efficiently computed. This, together with the linkage of our models to cellular characteristics, will allow us to develop an understanding of population output of CA3 hippocampus with direct biological comparisons.     

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

Episodic memory depends on interactions between the hippocampus and interconnected neocortical regions. Here, using data-driven analyses of resting-state functional magnetic resonance imaging (fMRI) data, we identified the networks that interact with the hippocampus—the default mode network (DMN) and a “medial temporal network” (MTN) that included regions in the medial temporal lobe (MTL) and precuneus. We observed that the MTN plays a critical role in connecting the visual network to the DMN and hippocampus. The DMN could be further divided into 3 subnetworks: a “posterior medial” (PM) subnetwork comprised of posterior cingulate and lateral parietal cortices; an “anterior temporal” (AT) subnetwork comprised of regions in the temporopolar and dorsomedial prefrontal cortex; and a “medial prefrontal” (MP) subnetwork comprised of regions primarily in the medial prefrontal cortex (mPFC). These networks vary in their functional connectivity (FC) along the hippocampal long axis and represent different kinds of information during memory-guided decision-making. Finally, a Neurosynth meta-analysis of fMRI studies suggests new hypotheses regarding the functions of the MTN and DMN subnetworks, providing a framework to guide future research on the neural architecture of episodic memory.

Episodic memory depends on interactions between the hippocampus and interconnected neocortical regions. This study uses network analyses of intrinsic brain networks at rest to identify and characterize brain networks that interact with the hippocampus and have distinct functions during memory-guided decision making.     

Differential consolidation and pattern reverberations within episodic cell assemblies in the mouse hippocampus

One hallmark feature of consolidation of episodic memory is that only a fraction of original information, which is usually in a more abstract form, is selected for long-term memory storage. How does the brain perform these differential memory consolidations? To investigate the neural network mechanism that governs this selective consolidation process, we use a set of distinct fearful events to study if and how hippocampal CA1 cells engage in selective memory encoding and consolidation. We show that these distinct episodes activate a unique assembly of CA1 episodic cells, or neural cliques, whose response-selectivity ranges from general-to-specific features. A series of parametric analyses further reveal that post-learning CA1 episodic pattern replays or reverberations are mostly mediated by cells exhibiting event intensity-invariant responses, not by the intensity-sensitive cells. More importantly, reactivation cross-correlations displayed by intensity-invariant cells encoding general episodic features during immediate post-learning period tend to be stronger than those displayed by invariant cells encoding specific features. These differential reactivations within the CA1 episodic cell populations can thus provide the hippocampus with a selection mechanism to consolidate preferentially more generalized knowledge for long-term memory storage.