Orientador: Elenice Aparecida de Moraes Ferrari / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia / Made available in DSpace on 2018-08-18T00:49:19Z (GMT). No. of bitstreams: 1 Machado_AlineVilardaSilva_M.pdf: 2487506 bytes, checksum: ec15fc1b78bef814d6d459499276cdf5 (MD5) Previous issue date: 2011 / Resumo: A ritmicidade circadiana, expressa na alteração do comportamento e em aspectos morfofisiológicos e moleculares ao longo das 24 horas do dia, é uma das funções básicas dos organismos vivos. Os processos comportamentais e os mecanismos moleculares no hipocampo, que estão envolvidos na aprendizagem e memória, demonstram oscilação circadiana. Vários estudos sugeriram que o condicionamento clássico aversivo é afetado pelo sistema de temporização circadiana e que a oscilação circadiana de vias moleculares específicas é requerida para a consolidação da memória aversiva. O presente trabalho investigou a oscilação circadiana da expressão da nNOS e da atividade da proteína NOS no hipocampo de pombos e as suas relações com a modulação temporal do condicionamento contextual aversivo. Na Parte I, caracterizou-se o padrão temporal da expressão da nNOS, que foi detectada por Western Blotting e o padrão temporal da atividade enzimática da NOS, determinada pela quantidade de L-citrulina produzida por minuto e por micrograma de proteína na reação. Na Parte II, nos horários de mínima e máxima atividade enzimática da proteína, pombos foram treinados e testados em condicionamento aversivo ao contexto. As sessões foram gravadas para posterior análise comportamental. Após o teste foi realizada a imunoistoquímica para marcação da nNOS em neurônios do hipocampo. Foi evidenciada ritmicidade circadiana significativa (p < 0,05) na expressão protéica da nNOS e na atividade enzimática da NOS, segundo os valores fornecidos pelo método Cosinor para caracterização do padrão temporal. As médias da densitometria óptica dos grupos com horários mais próximos da acrofase - ZT04 (10hs; 0,944 ± 0,12) e a batifase - ZT16-(22hs; 0,572 ± 0,16) foram significativamente diferentes (F5,18 p < 0,0001). Os grupos condicionados, em ambos os horários, mostraram maior duração e maior ocorrência do comportamento de congelamento do que os controles (p < 0,05). Houve uma variação dia-noite para o comportamento de congelamento nos grupos controles (p < 0,05). A marcação de células nNOS-positivas foi maior no hipocampo dos grupos condicionados sendo que o total de células nNOS-positivas na área dorsal do grupo experimental testado à noite foi maior do que aquele observado nos grupos controles e no experimental da manhã (p < 0,05). Os dados mostraram que a expressão protéica da nNOS e da atividade enzimática da NOS no hipocampo de pombos mostram uma oscilação que caracteriza um padrão temporal circadiano. Tanto no horário de máxima como no de mínima atividade da nNOS, o condicionamento contextual aversivo resultou em medo condicionado ao contexto e em expressão de células nNOS-positivas no hipocampo que foi maior nos pombos condicionados do que nos controles. Contudo, no hipocampo do grupo testado à noite houve um maior número de células nNOS-positivas. Esse dado estimula questionamento sobre se ocorreria a ativação de mecanismos compensatórios para o aumento da expressão da proteína nNOS, quanto essa é requisitada em situações de baixa disponibilidade / Abstract: The circadian rhythm, expressed in changing behavior and the morphophysiologic and molecular aspects over 24 hours of the day is one of the basic functions of living organisms. The behavioral processes and molecular mechanisms in the hippocampus, which are involved in learning and memory, show circadian oscillation. Several studies have suggested that classical fear conditioning is affected by the circadian timing system and the circadian oscillation of specific molecular pathways is required for the consolidation of aversive memory. This study investigated the circadian oscillation of nNOS expression and activity of NOS protein in the hippocampus of pigeons and their relationship with the temporal modulation of aversive contextual conditioning. In Part I, we have characterized the temporal pattern of nNOS expression, which was detected by Western blotting and temporal pattern of NOS enzyme activity, determined by the amount of L-citrulline produced per minute and per microgram of protein in the reaction. In Part II, at the times of minimum and maximum activity of the protein, pigeons were trained and tested in aversive conditioning to context. The sessions were taped for later behavioral analysis. After the test was performed immunohistochemical for labeling of nNOS in neurons in the hippocampus. Circadian rhythm was evident (p <0.05) in nNOS protein expression and enzyme activity of NOS, according to figures provided by Cosinor method to characterize the temporal pattern. The mean optical density of groups with times closer to the acrophase - ZT04 (10hrs; 0.944 ± 0.12) and nadir - ZT16-(22hs; 0.572 ± 0.16) were significantly different (F5, 18 p <0.0001 ). The groups conditioned in both schedules, showed more frequent and longer duration of freezing behavior than controls (p <0.05). There was a day-night variation for freezing behavior in control groups (p <0.05). Labeling of nNOS-positive cells was higher in the hippocampus of the groups conditioned with total nNOS-positive cells in the dorsal area of the experimental group tested at night was higher than that observed in control groups and experimental group in the morning (p <0.05). The data showed that nNOS protein expression and enzymatic activity of NOS in the hippocampus of pigeons show an oscillation that characterizes a circadian temporal pattern. Both at the time of maximum as the low activity of nNOS, the aversive contextual conditioning resulted in fear conditioning to context and expression of nNOS-positive cells in the hippocampus was higher in pigeons conditioned than in controls. However, in the hippocampus of the group tested in the evening there was a greater number of nNOS-positive cells. This fact encourages questioning of whether there would be activation of compensatory mechanisms for the increased expression of nNOS protein, as this is required in situations of low availability / Mestrado / Fisiologia / Mestre em Biologia Funcional e Molecular

Orientador: Elenice Aparecida de Moraes Ferrari / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia / Made available in DSpace on 2018-08-11T20:16:54Z (GMT). No. of bitstreams: 1 Denadai_MagdaAline_M.pdf: 823511 bytes, checksum: 1887972f9e5047fecbd7195247b586a8 (MD5) Previous issue date: 2008 / Resumo: O óxido nítrico (NO), um neurotransmissor não convencional, tem papel importante em processos neurobiológicos de comportamento e de memória. Sua síntese é mediada por três isoformas de sintase do óxido nítrico (NOS): a neuronal (nNOS), a endotelial (eNOS) e induzível (iNOS). Este trabalho analisou o efeito do 7-nitroindazole (7-NI), um inibidor seletivo da nNOS, no condicionamento clássico aversivo em pombos. Foram usados 4 grupos: tratados com 7-NI (grupo 7-nitroindazole; G7-NI, n=5), tratados com óleo de amendoim (grupo veículo; GV, n=5), controle/sem tratamento (grupo controle; GC, n=5) e grupo não tratado/não condicionado (grupo manipulação; GM, n=5). A administração i.p. de 7-NI (25 mg/kg), ou do óleo de amendoim foi feita imediatamente após o treinamento. O G7-NI, o GV e o GC receberam três associações som-choque (5°, 10° e 15º minutos) numa sessão de 20 min. O teste a o contexto foi realizado 24 horas depois. As sessões foram gravadas para posterior transcrição e análise comportamental. A ocorrência da resposta de congelamento durante o treino não diferiu entre os grupos (p>0,05), mas durante o teste foi menor para o G7-NI em comparação ao treino (p<0.01) e aos demais grupos no teste (p<0.001). A atividade da NOS dependente de Ca++ no hipocampo foi menor no G7-NI do que nos outros grupos (p<0,01). Análise por Western blot indicou aumento na expressão de nNOS no G7-NI (p<0,05). A administração sistêmica de 7-NI teve um efeito amnésico sobre a memória contextual aversiva, indicando que a atividade da NOS dependente de Ca++ é importante para os processos de condicionamento clássico aversivo em pombos. / Abstract: Nitric oxide (NO) is an unsual neurotransmitter that plays an important role in neurobiological functions underlying behavior and memory. NO synthesis and release can be mediated by three isoforms of NO synthases (NOS): neuronal (nNOS), endothelial (eNOS) and inducible (iNOS). This study examined the effect of 7-nitroindazole (7-NI), a selective nNOS inhibitor, on contextual fear conditioning in pigeons. Four groups of pigeons were used: treated with 7-NI (7-NI; n=5), treated with peanut oil (Vehicle; n=5), non treated controls (Control; n=5) and non treated and no-trained controls (Non-trained; n=5). Treatment consisted in 7-NI (25 mg/kg; i.p.) or vehicle (peanut oil) administration, immediately after training. All the animals were trained in one 20 min session during which three tone-shock pairings (5th, 10th and 15th minutes) were presented. The test to the context was conducted 24h later. Behavioral categories were analyzed through the transcription of video-tapes of the sessions. The groups 7-NI, Vehicle and Control showed no significant differences in freezing during the conditioning session (p>0.05). During the test to the context the group 7-NI expressed significantly lower freezing as compared to Vehicle and Control (p<0.05). The 7-NI pigeons showed lower hippocampal activity of Ca++ dependent-NOS than Vehicle and Control groups (p<0.01). Western blot analysis indicated significant increase in nNOS expression (p<0.05). The systemic administration of 7-NI induced amnestic effects on contextual fear memory that evidence that Ca++-dependent NOS activity is required for fear conditioning in pigeons. / Mestrado / Fisiologia / Mestre em Biologia Funcional e Molecular

A new mathematical model of short-term synaptic plasticity (STP) at the Schaffer collateral is introduced. Like other models of STP, the new model relates short-term synaptic plasticity to an interaction between facilitative and depressive dynamic influences. Unlike previous models, the new model successfully simulates facilitative and depressive dynamics within the framework of the synaptic vesicle cycle. The novelty of the model lies in the description of a competitive interaction between calcium-sensitive proteins for binding sites on the vesicle release machinery. By attributing specific molecular causes to observable presynaptic effects, the new model of STP can predict the effects of specific alterations to the presynaptic neurotransmitter release mechanism. This understanding will guide further experiments into presynaptic functionality, and may contribute insights into the development of pharmaceuticals that target illnesses manifesting aberrant synaptic dynamics, such as Fragile-X syndrome and schizophrenia. The new model of STP will also add realism to brain circuit models that simulate cognitive processes such as attention and memory. The hippocampal processing loop is an example of a brain circuit involved in memory formation. The hippocampus filters and organizes large amounts of spatio-temporal data in real time according to contextual significance. The role of synaptic dynamics in the hippocampal system is speculated to help keep the system close to a region of instability that increases encoding capacity and discriminating capability. In particular, synaptic dynamics at the Schaffer collateral are proposed to coordinate the output of the highly dynamic CA3 region of the hippocampus with the phase-code in the CA1 that modulates communication between the hippocampus and the neocortex.

No description available.

No description available.

One of the most foundational and personal philosophical questions one can ask is what makes you, you? In large part, you are made up of your relationships, experiences, and memories. The hippocampus, a brain region which is critical for the formation of memories, has been the focus of neuroscience research for decades due partially to this function, which is foundational to our individuality. In Alzheimer’s disease (AD), one of the most common and well-researched neurodegenerative diseases in the world, the hippocampus is one of the earliest targets. Despite extensive work on AD, we still lack a coherent understanding of what is causing the disease, the mechanisms by which it is causing neuronal dysfunction and death within the hippocampus and other brain regions, and how it ultimately causes deficits in cognition and behavior, leading to an erosion of our selves. In this thesis, I explore three independent but related questions: 1) what molecular mechanisms are causing early synaptic loss in AD, specifically within the hippocampus, 2) what molecular effectors are responsible for establishing and maintaining intracellular architecture in hippocampal neurons, which are exploited in early AD, and 3) how and when does the hippocampal circuit dysfunction in AD progression? Using a variety of experimental techniques, ranging from in utero and ex utero electroporation, primary murine and human neuronal cell culture, longitudinal confocal microscopy, immunohistochemistry, biochemistry, cell and molecular biology, in vivo two-photon calcium imaging, and behavioral assays, I have found that, within CA1 of the hippocampus, synapse loss requires degradation of the dendritic mitochondrial network, activity and input specificity are driving mitochondrial compartmentalization within CA1 neurons through the same pathway that is aberrantly overactivated in AD, and the hippocampal circuit is overly rigid in encoding the environment as the disease progresses.

Cognitive processes in the human brain are mediated by complex interactions among distributed brain regions. The interaction between the hippocampus and neocortical regions is crucial for physiologic and pathologic long-term episodic memory processing in the brain. However, the network mechanisms of this hippocampal-cortical communication remain unclear. To address this issue, we first designed organic materials and conformable electronics to create integrated neural interface devices that increase the spatiotemporal resolution of electrophysiologic monitoring. These devices enabled acquisition of local field potentials and action potentials of individual cortical neurons from the surface of the human brain, enhancing the ability to investigate neural network mechanisms without breaching the tissue interface. Next, we employed these devices in tandem with hippocampal probes to analyze hippocampal-cortical interactions in the context of memory tasks in freely moving rodents. We determined that in the physiologic state, the spatial properties of cortical spindle oscillations predict the likelihood of coupling with hippocampal ripples and are modulated by memory demand. In the pathologic state, we showed that interictal epileptiform discharges (IEDs), ubiquitous markers of epileptic networks, disrupt hippocampal-cortical coupling required for memory consolidation. These IEDs induce spindle oscillations in the synaptically connected cortex, producing prolonged, hypersynchronous neuronal spiking and expanding the brain territory capable of generating IEDs. Spatiotemporally targeted closed-loop electrical stimulation triggered on hippocampal IED occurrence eliminated the abnormal cortical activity patterns, preventing spread of the epileptic network and ameliorating long-term spatial memory deficits in rodents. Our findings provide new insights into mechanisms of physiologic and pathologic memory processing and offer novel approaches to therapies aimed at addressing distributed network dysfunction in neuropsychiatric disorders.

The hippocampus is a brain region known to support several cognitive functions. In particular, it is necessary for the formation of episodic memories. These are memories of personal experiences, and they are formed in an one-shot manner. The hippocampus has also been suggested to support the formation of cognitive maps. Cognitive maps are mental representations of how concepts or locations are connected to each other. These maps may be formed through predictive learning in the hippocampus. However, it is unclear how either of these processes are supported on the level of neural circuits. This thesis aims to understand, through theoretical modeling, how networks of neurons are able to organize and learn to function as episodic memory systems and predictive centers. In chapter 2, we first explore how predictive cognitive maps may be formed in a biological circuit. We begin by analyzing a popular description of hippocampal activity called the successor representation (SR). The SR is an algorithm that models population activity in the hippocampus as a rollout of a transition probability matrix estimated from the animal's experience. We explore how this algorithm can be learned by neurons in the brain by deriving an equivalent neural circuit that can learn the SR using neurally plausible learning rules. We simulate activity from this neural network and show that it matches experimental predictions of hippocampal activity. A key component of the model we construct is the ability to use the strength of recurrent connectivity as a means to control the time horizon of prediction from the model. This feature of the model can support flexible use of prediction across different cognitive tasks. Overall, this work suggests a biological mechanism for how predictive activity may arise in the hippocampus. In chapter 3, we investigate how a predictive region (similar to the model of the hippocampus discussed in chapter 2) may influence representations found in other brain regions. Specifically, we take inspiration from deep reinforcement learning (RL) to construct a multi-region model. In deep RL, the state space of the agent must be inferred from high-dimensional and complex sensory inputs. Thus, deep RL systems are imbued with sensory encoders that estimate the state of the agent. In a model-free setting, this state estimate is then passed to a value learning system. To improve the representations learned by the encoder, it is standard practice to add auxiliary objectives to the model. A common auxiliary objective is predictive learning via an additional predictive network. The use of a sensory encoder, value learning system, and predictive network parallels the suggested functions of the sensory system, striatum, and hippocampus, respectively. Keeping in mind this biological analogy, we explore how predictive objectives shape representations across a deep RL network. We discuss how this may suggest a role for the hippocampus as a representation learning system to support other brain regions. In chapter 4, we return to a crucial function of the hippocampus-- that of an episodic memory store. We aim to develop a biological model of memory storage and retrieval. Typically, neural network models of the hippocampus are based off autoassociative networks like the Hopfield network. Here, we consider an alternative instantiation of episodic memory inspired by models used in machine learning. In machine learning, memory is often stored in key-value, or slot-based, systems. In these systems, memory is stored in slots addressable by ``keys'' that may be unrelated to the memory content, or ``value''. However, there is not a clear biological interpretation of these types of memory systems. In this chapter, we suggest a biological implementation of a key-value memory network using a feedforward network with neural learning rules. This network is capable of faithfully storing many memories, even when correlations are present across memories. We also discuss how key-value memory networks are reminiscent of classic theories of hippocampal memory that describes hippocampal activity as an ``index'' into cortical memories. Beyond suggesting a specific model of biological key-value memory, we propose an alternative view on hippocampal memory. In chapter 5, we develop the ideas from chapter 4 further by taking inspiration from recent experimental findings in the hippocampus of black-capped chickadees. Black-capped chickadees are memory-specialist birds that are model organisms for the study of long-term memory in the hippocampus. Specifically, they engage in food-caching behavior that requires the ability to precisely recall the location of many food caches. To gain insight into memory formation, Chettih 𝑒𝑡 𝑎𝑙. [1] recorded hippocampal activity from these birds while they cache and retrieve seeds. The authors discovered neural activity encoding the location of the animal and activity encoding the presence of seeds. In addition, they also discovered --in the same neural population-- sparse, high-dimensional activity patterns that were unique to each cache and highly uncorrelated. These ``barcodes'' are a suggestion of index-like activity in the hippocampus. In this chapter, we design a recurrent neural network that replicates experimental findings from Chettih 𝑒𝑡 𝑎𝑙. [1]. We show how an indexing-based memory system is functionally advantageous as it allows for precise storage of potentially correlated memories. This work, which unites experimental and theoretical discoveries, suggests a re-imagining of classic theories of hippocampal memory. In this thesis, we have sought to understand the system-level mechanisms that support hippocampal function. While it is understood that the hippocampus is important for cognition, much is still unknown about the biological processes underlying this region. We believe our findings here have deepened our understanding of the hippocampus and suggested new avenues of research to further the field.

Thesis (PhD (Biomedical Sciences. Medical Physiology))--University of Stellenbosch, 2006. / Early life trauma leads to behavioural abnormalities later in life. These include mood and anxiety disorders such as depression and posttraumatic stress disorder (PTSD). This association may be due in part to the effects of trauma on brain development. Data from basic and clinical experiments suggest that alterations in the hippocampus may be fundamental to the development of these disorders. Here we used an animal model of early life trauma to investigate its effects on the behaviour and neurochemistry of the adult rat. Adolescent rats were subjected to time-dependent sensitization stress consisting of a triple stressor (2 hours restraint, 20 min swim stress and exposure to ether vapour) on post-natal day (PND) 28, a single re-stress on PND 35 (20 min swim stress), and a second re-stress in adulthood (PND 60, 20 min swim stress). The rationale was that the frequency of exposure to situational reminders contributes to the maintenance over time of fear-related behavioural disturbances. The effects of trauma on the hypothalamus-pituitary-adrenal-axis, hippocampal and plasma neurotrophin levels, behaviour and phosphoinositide-3 kinase (PI-3 kinase) signaling proteins were initially investigated. In addition, proteomic technologies such as protein arrays and 2D-SDS PAGE combined with liquid chromatography tandem mass spectrometry (LC-MS/MS) were employed to study trauma-induced effects on the hippocampus. Traumatized animals showed a decrease in glucocorticoid receptors in the dentate gyrus of the hippocampus and an increase in basal corticosterone levels 24 hours after adulthood re-stress. These effects were reversed by pretreatment with the serotonin selective reuptake inhibitor, escitalopram. A decrease in the neurotrophins, BDNF and NT-3 were evident 8 days, but not 24 hours after adulthood re-stress. This decrease was not accompanied by decreases in plasma neurotrophin or PI-3 kinase, protein kinase B (PKB), phosphatase and tensin homologue (PTEN), phospho-forkhead and phospho-AFX protein levels. In addition, traumatized animals showed increased rearing in both the elevated plus maze and open field. Proteomic analysis of trauma-induced changes in the hippocampus show increases in Ca2+ homeostasis / signaling proteins such as S-100B, phospho-JNK and calcineurin. Apoptotic initiator proteins, including caspase 9, -10 and -12 were increased and there was evidence of cytoskeletal protein dysregulation. Furthermore, cell cycle regulators and energy metabolism proteins were decreased. These effects indicate to a cellular state of cell cycle arrest after increased calcium influx to avoid apoptosis. Our data suggest that adolescent trauma with adulthood re-stress may affect numerous systems at different levels. These include neuroendocrine-, protein systems and behaviour, and confirmed that a systems biology approach is needed for a better understanding of the neurobiology of mental disorders.

Background: The hippocampus and corpus callosum have been shown to be vulnerable in head injury. Various neuroimaging modalities and quantitative measurement techniques have been employed to investigate pathological changes in these structures. Cognitive and behavioural deficiencies have also been well documented in head injury. Aims: The aim of this research project was to investigate structural changes in the hippocampus and corpus callosum. Two different quantitative methods were used to measure physical changes and neuropsychological assessment was performed to determine cognitive and behavioural deficit. It was also intended to investigate the relationship between structural change and neuropsychology at 1 and 6 months post injury. Method: Forty-seven patients with head injury (ranging from mild to severe) had undergone a battery of neuropsychological tests and an MRI scan at 1 and 6 months post injury. T1-weighted MRI scans were obtained and analysis of hippocampus and corpus callosum was performed using region-of-interest techniques and voxel-based morphometry which also included comparison to 18 healthy volunteers. The patients completed neuropsychological assessment at 1 and 6 months post injury and data obtained was analysed with respect to each assessment and with structural data to determine cognitive decline and correlation with neuroanatomy. Results: Voxel-based morphometry illustrated reduced whole scan signal differences between patients and controls and changes in patients between 1 and 6 months post injury. Reduced grey matter concentration was also found using voxel-based morphometry and segmented images between patients and controls. A number of neuropsychological aspects were related to injury severity and correlations with neuroanatomy were present. Voxel-based morphometry provided a greater number of associations than region-of-interest analysis. No longitudinal changes were found in the hippocampus or corpus callosum using region-of-interest methodology or voxel-based morphometry. Conclusions: Decreased grey matter concentration identified with voxel-based morphometry illustrated that structural deficit was present in the head injured patients and does not change between 1 and 6 months. Voxel-based morphometry appears more sensitive for detecting structural changes after head injury than region- of-interest methods. Although the majority of patients had suffered mild head injury, cognitive and neurobehavioural deficits were evidenced by a substantial number of patients reporting increased anxiety and depression levels. Also, the findings of relationships between reduced grey matter concentration and cognitive test scores are indicative of the effects of diffuse brain damage in the patient group.