Dissertations / Theses on the topic 'Basal ganglia model'
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Søiland, Stian. "Sequence learning in a model of the basal ganglia." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9312.
Full textThis thesis presents a computational model of the basal ganglia that is able to learn sequences and perform action selection. The basal ganglia is a set of structures in the human brain involved in everything from action selection to reinforcement learning, inspiring research in psychology, neuroscience and computer science. Two temporal difference models of the basal ganglia based on previous work have been reimplemented. Several experiments and analyses help understand and describe the original works. This uncovered flaws and problems that is addressed.
Senatore, Rosa. "The role of basal ganglia and cerebellum in motor learning. A computational model." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/373.
Full textOur research activity investigates the computational processes underlying the execution of complex sequences of movements and aims at understanding how different levels of the nervous system interact and contribute to the gradual improvement of motor performance during learning. Many research areas, from neuroscience to engineering, investigate, from different perspectives and for diverse purposes, the processes that allow humans to efficiently perform skilled movements. From a biological point of view, the execution of voluntary movements requires the interaction between nervous and musculoskeletal systems, involving several areas, from the higher cortical centers to motor circuits in the spinal cord. Understanding these interactions could provide important insights for many research fields, from machine learning to medicine, from the design of robotic limbs to the development of new treatments for movement disorders, such as Parkinson’s disease. This goal could be achieved by finding an answer to the following questions: · How does the central nervous system control and coordinate natural voluntary movements? · Which brain areas are involved in learning a new motor skill? What are the changes that happen in these neural structures? What are the aspects of the movement memorized? · Which is the process that allows people to perform a skilled task, such as playing an instrument, being apparently unaware of the movements they are performing? · What happen when a neurodegenerative disease affects the brain areas involved in executing movements? These questions have been addressed from different perspectives and levels of analysis, from the exploration of the anatomical structure of the neural systems thought to be involved in motor learning (such as the basal ganglia, cerebellum and hippocampus) to the investigation of their neural interaction; from the analysis of the activation of these systems in executing a motor task to the specific activation of a single or a small group of neurons within them. In seeking to understand all the breadth and facets of motor learning, many researchers have used different approaches and methods, such as genetic analysis, neuroimaging techniques (such as fMRI, PET and EEG), animal models and clinical treatments (e.g. drugs administration and brain stimulation). These studies have provided a large body of knowledge that has led to several theories related to the role of the central nervous system in controlling and learning simple and complex movements. These theories envisage the interaction among multiple brain regions, whose cooperation leads to the execution of skilled movements. How can we test these interactions for the purpose of evaluating a theory? Our answer to this question is investigating these interactions through computational models, which provide a valuable complement to the experimental brain research, especially in evaluating the interactions within and among multiple neural systems. Based on these concepts arises our research, which addresses the questions previously pointed out and aims at understanding the computational processes performed by two neural circuits, the Basal Ganglia and Cerebellum, in motor learning. We propose a new hypothesis about the neural processes occurring during acquisition and retention of novel motor skills. According to our hypothesis, a sequence of movements is stored in the nervous system in the form of a spatial sequence of points (composing the trajectory plan associated to the motor sequence) and a sequence of motor commands. We propose that learning novel motor skills requires two phases, in which two different processes take place. Early in learning, when movements are slower, less accurate, and attention demanding, the motor sequence is performed by converting the sequence of target points into the appropriate sequence of motor commands. During this phase, the trajectory plan is acquired and the movements rely on the information provided by the visuo-proprioceptive feedback, which allows to correct the sequence of movements so that the actual trajectory plan corresponds to the desired one and the lowest energy is spent by the muscular subsystem involved. During the late learning phase, when the sequence of movements is performed faster and automatically, with little or no cognitive resources needed to complete it, and is characterized by anticipatory movements, the sequence of motor commands is acquired and thus, the sequence of movements comes to be executed as a single behavior. We suggest that the Basal Ganglia and Cerebellum are involved in learning novel motor sequences, although their role is crucial in different stages of learning. Accordingly, we propose a neural scheme for procedural motor learning, comprising the basal ganglia, cerebellum and cortex, which envisages that the basal ganglia, interacting with the cortex, select the sequence of target points to reach (composing the trajectory plan), whereas the cerebellum, interacting with the cortex, is responsible for converting the trajectory plan into the appropriate sequence of motor commands. Consequently, we suggest that early in learning, task performance is more dependent on the procedural knowledge maintained by the cortex-basal ganglia system, while after a long-term practice, when the sequence of motor commands is acquired within the cerebellum, task performance is more dependent on the motor command sequence maintained by the cortexcerebellar system. We tested the neural scheme (and the hypothesis behind it) through a computational model that incorporates the key anatomical, physiological and biological features of these brain areas in an integrated functional network. Analyzing the behavior of the network in learning novel motor tasks and executing well-known motor tasks, both in terms of the neural activations and motor response provided, we found that the results obtained fit those reported by many neuroimaging and experimental studies presented in the literature. We also carried out further experiments, simulating neurodegenerative disorders (Parkinson's and Huntington disease, which affect the basal ganglia) and cerebellar damages. Results obtained by these experiments validates the proposed hypothesis, showing that the basal ganglia play a key role during the early stage of learning, whereas the cerebellum is crucial for motor skill retention. Our model provides some insights about the learning mechanisms occurring within the cerebellum and gains further understanding of the functional dynamics of information processing within the basal ganglia and cerebellum in normal as well as in diseased brains. Therefore the model provides novel predictions about the role of basal ganglia and cerebellum in motor learning, motivating further investigations of their interactions. [edited by author]
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Silva, Miranda B. A. "The role of prefrontal cortex and basal ganglia in model-based and model-free reinforcement learning." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1475076/.
Full textKumbhare, Deepak. "ELECTROPHYSIOLOGY OF BASAL GANGLIA (BG) CIRCUITRY AND DYSTONIA AS A MODEL OF MOTOR CONTROL DYSFUNCTION." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4305.
Full textDu, Zhuowei. "Caractérisation of GABAergic neurotransmission within basal ganglia circuit in R6/1 Huntington's disease mouse model." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0046/document.
Full textWe explored GABAergic neurotransmission in a mouse model of Huntington's disease. Combining molecular, imaging and electrophysiologicaltechniques, we showed changes of GABAergic neurotransmission in presymptomatic and symptomatic R6/1 mice. Our data demonstrated a decreased GABAergic inhibition in the globus pallidus of R6/1 mice, which could result in an alteration of basal ganglia output nuclei and motor activity. Taken together, our results will help to define the contribution of receptor subtypes to inhibitory transmission throughout the brain in physiological and pathophysiological states
Slewa, Barbara Lidia [Verfasser]. "Electrophysiological activity of basal ganglia under deep brain stimulation in the rat model / Barbara Lidia Slewa." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1223451445/34.
Full textHaynes, William. "When anatomy drives physiology : expanding the actor-critic model of the basal ganglia to new subthalamus connections." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066662/document.
Full textThe basal ganglia are a network of subcortical structures of which the invariant architecture throughout vertebrate evolution suggests a key function in evolution. As was noted as early as the 18th century, they have the unique characteristic of concentrating afferences from the entire cortical surgace. Given this central position and the internal architecture of the network, they could provide a centralised selection mechanism in the brain, arbitrating between any two conflicting processes. Among the basal ganglia, the subthalamic nucleus has become of particular interest as it is the target of deep brain stimulation, a neurosurgical procedure used to treat severe Parkinson’s disease and obsessive-compulsive disorder. It would have for function to integrate contextual information from its cortical inputs to filter behavioural programs encoded by the striatum. Within the framework of decision-making models, this filtering function is akin to setting the decision threshold, or the amount of evidence required before selecting a program. However, this considerations remain hypothetical as they are lacking experimental support. The first objective of this work was to validate the anatomical basis of these assumptions. Indeed, the existence of a prefrontal-subthalamic pathway, necessary to expand the decision models to every type of decision, had only been demonstrated in rodents. We demonstrated its existence in the primate using anterograde axonal tracing. In addition, this projection will have allowed us to redefine the medial border of the subthalamic nucleus with the clinical consequences that that may have. The second objective of this thesis was to test the functional validity of the models, and specifically the role of the subthalamic nucleus in setting decision thresholds. Deep brain stimulation offers a rare access to the electrophysiology of this structure; however, it is a patient population, here obsessive-compulsive disorder patients. A first step was, therefore, to characterise this population, anatomically and behaviourally, to understand how it might be of use as a model of decision-making in the basal ganglia. We demonstrated a reduction in the strength of cortico-subcortical anatomical connections. We suggest that this prevents accurate conscious control over decision mechanisms. Behaviourally, patients displayed a pathologically low confidence levels in their decisions and we hypothesised that this would lead to an increase of the decision threshold and matching subthalamic activity. To test this, we recorded the activity of the subthalamic nucleus during a decision-making task. We demonstrate that subthalamic neurons have a multimodal activity, consistent with our demonstration of convergent cortical inputs. However, we were unable to demonstrate a link between subthalamic activity and decision threshold, although this may be due to technical considerations…
Zachrisson, Love. "HIGH-FREQUENCY OSCILLATIONS IN A MOUSE MODEL OF PARKINSON’S DISEASE." Thesis, Umeå universitet, Institutionen för psykologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172265.
Full textDopaminbehandling är den mest förekommande metoden för att behandla Parkinsons sjukdom men detta orsakar dessvärre en bieffekt i form av gradvis förvärrande ofrivilliga rörelser. Detta beteendemönster kallas för Levodopa-Inducerad-Dyskinesi (LID) och med hjälp av elektrodimplantat i hjärnan, på parkinsonpatienter och djurmodeller av parkinsons, har man kunnat se att beteendet är förknippat med högfrekventa oscilleringar (HFO) av hjärnaktivitet i motorcortex och basala ganglierna. Trots försök att kartlägga om dessa högfrekventa oscilleringar också är närvarande i den populära 6-OHDA musmodellen av Parkinsons sjukdom, så har man hittills inte lyckats demonstrera detta. Genom att bygga och implantera ett elektrodimplantat med 64 kanaler i en ensidigt-leisonerad 6-OHDA musmodell av Parkinsons sjukdom så kunde vi åskådliggöra HFO i motor cortex, basala ganglierna och thalamus i den lesionerade hjärnhalvan under LID. Vi kunde också påvisa HFO som sträckte sig över till den intakta hjärnhalvan, med frekvenser över 100 Hz. Denna forskning ger stöd att 6-OHDA modellen för Parkinsons i möss är valid och ger möjlighet till nya metoder att utforska och behandla Parkinsons, dyskinesi och andra neurologiska åkommor. Studien lägger också grunden för framtida studier som ämnar att undersöka föreslagna mekanismer bakom sättet populationer av neuroner bearbetar information.
ingår i ett projekt finansierat av Vetenskapsrådet #2018-02717
Canudas, Teixidó Anna-Maria. "Estudi de la degeneració transneuronal en models de malalties que afecten als ganglis basals." Doctoral thesis, Universitat de Barcelona, 2001. http://hdl.handle.net/10803/672867.
Full textThurnham, A. J. "Computational modelling of the neural systems involved in schizophrenia." Thesis, University of Hertfordshire, 2008. http://hdl.handle.net/2299/1842.
Full textKennedy, Samantha F. "Possible breakdown of dopamine receptor synergism in a mouse model of Huntington's Disease." ScholarWorks@UNO, 2017. https://scholarworks.uno.edu/td/2415.
Full textKamali, Sarvestani Iman. "Subsystems of the basal ganglia and motor infrastructure." Doctoral thesis, KTH, Beräkningsbiologi, CB, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136745.
Full textQC 20131209
Vitay, Julien, and Fred H. Hamker. "Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area." Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-147898.
Full textStewart, Robert Douglas. "Spiking neural network models of the basal ganglia : cortically-evoked response patterns and action selection properties." Thesis, University of Sheffield, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445121.
Full textLiénard, Jean. "Models of the Basal Ganglia : Study of the Functional Anatomy and Pathophysiology using Multiobjective Evolutionary Algorithms." Paris 6, 2013. http://www.theses.fr/2013PA066125.
Full textOur work brings contributions to the field of computational models of the basal ganglia(BG) with the use of multi-objective evolutionary algorithms. We first characterized what underlies the hypothesized selection capability in the BG structure with two models : the CBG (Girard et al. 2008) and the GPR (Gurney et al. 2001). The direct/indirect pathway were found to be important; those of the thalamic loop, indifferent; the GPe → GPi/SNr projection, antagonist to selection. Two pathways explain the better selectivity in CBG: the GPe → MSN connection and the diffuse pattern of GPe → GPi/SNr. We also build plausible BG models which respect a collection of constraints issued from a review of anatomical and electrophysiological primate literature. Our first result is that anatomical and electrophysiological data are consistent if we suppose a GPe → GPi/SNr projection that is weakly inhibitory. Our second result is that the plausible models perform selection, with electrophysiological activities that are furthermore plausible. We finally studied the pattern of projection of the GPe → GPi/SNr projection, and found that a diffuse pattern is more efficient for selection. Finally, we studied with the plausible models the origin of the oscillations occurring in Parkinson’s disease. We first established delays matching the timing data from stimulation experiments. Modeling the dopamine depletion by a moderate plausible increase in single spike efficiency in STN, GPe and GPi/SNr is enough to trigger oscillatory regimens in the β-band. The oscillations frequency is highly dependent of the GPe ⇋ STN delays, which could not plausibly support - band oscillations in our models
Prabhu, Shivadatta. "Effets de la stimulation cérébrale profonde dans l'épilepsie focale motrice." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00949064.
Full textNg, Tsz Wa. "Effect of small interfering RNA specific for N-methyl-D-asparate receptor two B in models of Parkinson's disease." HKBU Institutional Repository, 2011. http://repository.hkbu.edu.hk/etd_ra/1226.
Full textWeiss, Alexander R. "Novel approaches to studying the role of the anterior cingulate cortex in cognition and Parkinson's disease." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:c827764b-af3b-4397-90cc-039f40fab460.
Full textAnwar, Sabina Zareen. "Functional characterisation of synuclein-based novel genetic mouse models." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:b14fc29e-2bc8-4a31-865b-f4ec0e0f6f2c.
Full textDurieux, Pierre. "Striatum mosaic disassembling: shedding light on striatal neuronal type functions by selective ablation in genetic models." Doctoral thesis, Universite Libre de Bruxelles, 2010. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209996.
Full textWe first investigated functions of D2R-striatopallidal neurons in motor control and drug reinforcement by their selective ablation in the entire striatum or restricted to the ventral striatum. This DTR strategy produced selective D2R striatopallidal MSN ablation with integrity of the other striatal neurons as well as the striatal dopaminergic function. D2R MSN ablation in the entire striatum induced permanent hyperlocomotion while ventral striatum-restricted ablation increased amphetamine place preference.
We next compared respective roles of D2R-striatopallidal and D1R-striatonigral neurons in motor control and skill learning in functionally different striatum subregions.
Finally, to target nitrergic interneurons of the striatum, we developed a bacterial artificial chromosome genetic strain in which the cre-recombinase expression is under the control of the neuronal nitric oxide gene promoter.
Altogether, those results show that DTR expression and DT local injections is an efficient and flexible strategy to ablate selective striatum neuronal types with spatial resolution. We provide the first direct experimental evidences that D2R striatopallidal neurons inhibit both locomotor and drug-reinforcement processes and that D2R and D1R MSNs in different striatum subregions have distinct functions in motor control and motor skill learning. Those results strongly support a cell-type and topographic functional organization of the striatum and underscore the need for characterization of the specific cellular and molecular modifications that are induced in D2R and D1R MSNs during drug-reinforcement or procedural learning.
Doctorat en Sciences médicales
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Kitto, Michael Ryan. "Biconditional discrimination learning in rats with 192 IgG-saporin lesions of the nucleus basalis magnocellularis." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3002.
Full textChaves, Rodriguez Elena. "Differential involvement of striatal medium spiny neurons subpopulations on decision-making processes in mice." Doctoral thesis, Universite Libre de Bruxelles, 2019. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/286721.
Full textDoctorat en Sciences biomédicales et pharmaceutiques (Médecine)
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(5929673), Pierson J. Fleischer. "A Unified Model of Rule-Set Learning and Selection." Thesis, 2019.
Find full textΠεράκης, Δημήτρης. "Μελέτη της λειτουργικής υπόθεσης της επιλογής δράσεως από τα βασικά γάγγλια." 2006. http://nemertes.lis.upatras.gr/jspui/handle/10889/446.
Full textStydy of the hypothesis that the basal ganglia, a major structure in the mamalian brain, plays a crusial role in the selection of the appropriate action. In this direction we try to simulate the functionality of the basal ganglia as well the pathophysiological conditions (Parkinson, Huntington disease) related to them.
So, Rosa Qi Yue. "Mechanisms of Deep Brain Stimulation for the Treatment of Parkinson's Disease: Evidence from Experimental and Computational Studies." Diss., 2012. http://hdl.handle.net/10161/5466.
Full textDeep brain stimulation (DBS) is used to treat the motor symptoms of advanced Parkinson's disease (PD). Although this therapy has been widely applied, the mechanisms of action underlying its effectiveness remain unclear. The goal of this dissertation was to investigate the mechanisms underlying the effectiveness of subthalamic nucleus (STN) DBS by quantifying changes in neuronal activity in the basal ganglia during both effective and ineffective DBS.
Two different approaches were adopted in this study. The first approach was the unilateral 6-hydroxydopamine (6-OHDA) lesioned rat model. Using this animal model, we developed behavioral tests that were used to quantify the effectiveness of DBS with various frequencies and temporal patterns. These changes in behavior were correlated with changes in the activity of multiple single neurons recorded from the globus pallidus externa (GPe) and substantia nigra reticulata (SNr). The second approach was a computational model of the basal ganglia-thalamic network. The output of the model was quantified using an error index that measured the fidelity of transmission of information in model thalamic neurons. We quantified changes in error index as well as neural activity within the model GPe and globus pallidus interna (GPi, equivalent to the SNr in rats).
Using these two approaches, we first quantified the effects of different frequencies of STN DBS. High frequency stimulation was more effective than low frequency stimulation at reducing motor symptoms in the rat, as well as improving the error index of the computational model. In both the GPe and SNr/GPi from the rat and computational model, pathological low frequency oscillations were present. These low frequency oscillations were suppressed during effective high frequency DBS but not low frequency DBS. Furthermore, effective high frequency DBS generated oscillations in neural firing at the same frequency of stimulation. Such changes in neuronal firing patterns were independent of changes in firing rates.
Next, we investigated the effects of different temporal patterns of high frequency stimulation. Stimulus trains with the same number of pulses per second but different coefficients of variation (CVs) were delivered to the PD rat as well as PD model. 130 Hz regular DBS was more effective than irregular DBS at alleviating motor symptoms of the PD rat and improving error index in the computational model. However, the most irregular stimulation pattern was still more effective than low frequency stimulation. All patterns of DBS were able to suppress the pathological low frequency oscillations present in the GPe and SNr/GPi, but only 130 Hz stimulation increased high frequency 130 Hz oscillations. Therefore, the suppression of pathological low frequency neural oscillations was necessary but not sufficient to produce the maximum benefits of DBS.
The effectiveness of regular high frequency STN DBS was associated with a decrease in pathological low frequency oscillations and an increase in high frequency oscillations. These observations indicate that the effects of DBS are not only mediated by changes in firing rate, but also involve changes in neuronal firing patterns within the basal ganglia. The shift in neural oscillations from low to high frequency during effective STN DBS suggests that high frequency regular DBS suppresses pathological firing by entraining neurons to the stimulus pulses.
Therefore, results from this dissertation support the hypothesis that the underlying mechanism of effective DBS is its ability to entrain and regularize neuronal firing, therefore disrupting pathological patterns of activity within the basal ganglia.
Dissertation
Rodrigues, Matilde Sofia Guerreiro da Costa. "Hypoadenosinergic pathologies in a rat model of the Willis-Ekbom disease." Master's thesis, 2020. http://hdl.handle.net/10316/93943.
Full textA doença de Willis-Ekbom, também conhecida como síndrome da perna inquieta, é uma doença neurológica caracterizada pelos seus sintomas. Os portadores experienciam uma inquietante necessidade de estar em movimento, mesmo quando se encontram em repouso sendo que, há um agravamento dos sintomas no período noturno. Outro aspeto clínico é o experienciamento de pequenos episódios de despertares durante o sono, que normalmente precedem o início do movimento das pernas. Dado o estado de excitamento, acredita-se que a nível neurofisiológico exista um hiper-excitamento do sistema nervoso, mais concretamente, associado a uma hiperexcitabilidade dos terminais glutamatérgicos no estriado. A condição mais bem estudada e mais associada a WED é a deficiência de ferro que, pode não ser evidente sistemicamente e ocorrer localmente, como no cérebro. Quer a deficiência de ferro (e a anemia consequente) quer a WED são mais prevalentes em mulheres, que sublinha a necessidade de comparar o efeito de deficiência de ferro no estriado de roedores laboratoriais de ambos os generos. O estriado é a principal estrutura de entrada de estímulos excitatórios dos gânglios da base e encontra-se envolvido tanto em processos motores como cognitivos. A neurotransmissão de glutamato é modulada por vários neurotransmissores como o GABA e neuromoduladores como a dopamina, adenosina, opioides, acetilcolina e endocanabinóides. A existência de uma perturbação nestes sistemas de modulação pode levar a uma variedade de doenças neurológicas. Muitos estudos apontam para a existência de alterações a nível do sistema adenosinérgico em pacientes e modelos de BID. Recentemente foi descrito, pelos nossos colaboradores, um estado hipoadenosinérgico causada por um aumento na densidade dos recetores de adenosina do tipo A2A e/ou uma diminuição dos recetores A1. Assim, recorrendo a um modelo animal (foram alvo de estudo ambos machos e fêmeas, de modo a avaliar se existe um fenótipo específico entre géneros) sujeito a uma deficiência de ferro através da comida. Primeiramente, os animais foram sujeitos a testes comportamentais para avaliar a atividade locomotora, ansiedade e memória. Mais tarde, o cérebro foi recolhido e realizou-se a purificação de sinaptossomas do estriado para realizar o objetivo desta tese: avaliar alterações de densidade dos recetores de adenosina, tal como a percentagem de co-localização entre ambos, em terminais gutamatérgicos cortico-estriatais e tálamo-estriatais e, em terminais colinérgicos, recorrendo à técnica de “sinaptometria” de fluxo. Para além destes, também foram avaliadas alterações dos recetores µ-opióides (MOR), uma vez que agonistas do MOR são eficazes no controlo de sintómas sensorimotórios dos pacientes. e canabinóide do tipo 1 (CB1R), o recetor que é capaz de modular o funcionamento tal dos receptores adenosinérgicos como do MOR via heteromerização, tal como a sua percentagem de co-localização.Uma vez que a deficiência de ferro cerebral (DFC) foi induzido no dia 21 pós-natal, ou seja, depois de maioritariamente concluir o desenvolvimento cerebral, já não foram observadas alterações na locomoção e na habituação dos animais com BID no teste “open field”, tal como no comportamento ansioso realizado no “elevated-plus maze”.No entanto, a técnica da sinaptometria de fluxo revelou fortes tendências para uma redução na densidade dos terminais positivos para MOR e um aumento nos terminais equipados com o recetor facilitatório A2A. Tudo junto, observou-se pela primeira vez um disbalanço no controlo inibitório e facilitatório no nível sináptico em terminais nervosos individualmente identificados, que certamente contribuirá ao nosso entendimento sobre o patomecanismo e a farmacoterapia adequada da WED.
Willis-Ekbom's disease, also known as restless leg syndrome, is a neurological disease characterized by an unsettling need of the patients to move their legs and sometimes arms, even when they are at rest. Nocturnal aggravation of symptoms strongly impar sleep quality. It is believed that at the neurophysiological level, there is a hyperarousal of the nervous system, which is associated with a hyperexcitability of the corticostriatal glutamatergic terminals in the striatum. Iron deficiency is as a major comorbidity for WED has been recognized. Iron deficiency may be restricted to the nervous tissue, which is called brain iron deficiency (BID). Both iron deficiency (and consequent anemia) and WED are more prevalent in women, which underlines the need to compare the effect of iron deficiency on the striatum of laboratory rodents of both genders.The striatum is the main input structure for excitatory stimuli from the basal ganglia and is involved in both motor and cognitive processes. Glutamatergic corticostriatal neurotransmission is modulated by several neurotransmitters such as GABA and neuromodulators including dopamine, adenosine, opioids, acetylcholine and endocannabinoids. Impaired neuromodulation at corticostriatal synapses can lead to a variety of neurological diseases. Many studies point to the existence of changes in the adenosinergic system in patients and models of BID. Recently, a hypoadenosinergic state was described by our collaborators, caused by an increase in the density of type A2A adenosine receptors and a decrease in A1 receptor density, or both.Thus, here I studied the possible presynaptic changes in striatal glutamatergic as well as cholinergic nerve terminals, isolated from young adult rats, after completing a four-week diet with iron poor chow (BID rats), or normal chow (controls). Both males and females were studied in order to purported gender-specific phenotypes.First, the animals were subjected to behavioral tests to evaluate locomotor activity, anxiety and memory. Subsequently, the animals were euthanized, and their brains were collected to prepare purified striatal synaptosomes. My aims were to evaluate changes in the density of glutamatergic and cholinergic nerve terminals endowed with adenosine receptors, as well as µ-opioid receptors (MOR) – since MOR agonists are efficacious in controlling patients' sensorimotor symptoms, and finally, cannabinoid CB1 receptors, because it is capable of modulating the functioning of both adenosine receptors and MOR via heteromerization.Since BID was induced on the 21st postnatal day, that is, after that the brain development is largely completed, overt behavioral changes in locomotion, habituation and anxiety-like behaviour of BID rats were not observed in the open field and elevated-plus maze tests. Spatial working memory in the Y-maze spontaneous alternation test also remained intact in the BID rats. However, the technique “flow synaptometry” revealed strong tendencies towards a reduction in the density of MOR-positive terminals and an increase in A2AR-positive terminals. Alltogether, for the first time an imbalance has been documented in inhibitory and facilitatory neuromodulation at the synaptic level in individually identified nerve terminals, which will certainly contribute to our understanding of the pathomechanism and the adequate pharmacotherapy of WED.
Dovzhenok, Andrey A. "Mathematical Models of Basal Ganglia Dynamics." 2013. http://hdl.handle.net/1805/3357.
Full textPhysical and biological phenomena that involve oscillations on multiple time scales attract attention of mathematicians because resulting equations include a small parameter that allows for decomposing a three- or higher-dimensional dynamical system into fast/slow subsystems of lower dimensionality and analyzing them independently using geometric singular perturbation theory and other techniques. However, in most life sciences applications observed dynamics is extremely complex, no small parameter exists and this approach fails. Nevertheless, it is still desirable to gain insight into behavior of these mathematical models using the only viable alternative – ad hoc computational analysis. Current dissertation is devoted to this latter approach. Neural networks in the region of the brain called basal ganglia (BG) are capable of producing rich activity patterns. For example, burst firing, i.e. a train of action potentials followed by a period of quiescence in neurons of the subthalamic nucleus (STN) in BG was shown to be related to involuntary shaking of limbs in Parkinson’s disease called tremor. The origin of tremor remains unknown; however, a few hypotheses of tremor-generation were proposed recently. The first project of this dissertation examines the BG-thalamo-cortical loop hypothesis for tremor generation by building physiologically-relevant mathematical model of tremor-related circuits with negative delayed feedback. The dynamics of the model is explored under variation of connection strength and delay parameters in the feedback loop using computational methods and data analysis techniques. The model is shown to qualitatively reproduce the transition from irregular physiological activity to pathological synchronous dynamics with varying parameters that are affected in Parkinson’s disease. Thus, the proposed model provides an explanation for the basal ganglia-thalamo-cortical loop mechanism of tremor generation. Besides tremor-related bursting activity BG structures in Parkinson’s disease also show increased synchronized activity in the beta-band (10-30Hz) that ultimately causes other parkinsonian symptoms like slowness of movement, rigidity etc. Suppression of excessively synchronous beta-band oscillatory activity is believed to suppress hypokinetic motor symptoms in Parkinson’s disease. Recently, a lot of interest has been devoted to desynchronizing delayed feedback deep brain stimulation (DBS). This type of synchrony control was shown to destabilize synchronized state in networks of simple model oscillators as well as in networks of coupled model neurons. However, the dynamics of the neural activity in Parkinson’s disease exhibits complex intermittent synchronous patterns, far from the idealized synchronized dynamics used to study the delayed feedback stimulation. The second project of this dissertation explores the action of delayed feedback stimulation on partially synchronous oscillatory dynamics, similar to what one observes experimentally in parkinsonian patients. We employ a computational model of the basal ganglia networks which reproduces the fine temporal structure of the synchronous dynamics observed experimentally. Modeling results suggest that delayed feedback DBS in Parkinson’s disease may boost rather than suppresses synchronization and is therefore unlikely to be clinically successful. Single neuron dynamics may also have important physiological meaning. For instance, bistability – coexistence of two stable solutions observed experimentally in many neurons is thought to be involved in some short-term memory tasks. Bistability that occurs at the depolarization block, i.e. a silent depolarized state a neuron enters with excessive excitatory input was proposed to play a role in improving robustness of oscillations in pacemaker-type neurons. The third project of this dissertation studies what parameters control bistability at the depolarization block in the three-dimensional conductance-based neuronal model by comparing the reduced dopaminergic neuron model to the Hodgkin-Huxley model of the squid giant axon. Bifurcation analysis and parameter variations revealed that bistability is mainly characterized by the inactivation of the Na+ current, while the activation characteristics of the Na+ and the delayed rectifier K+ currents do not account for the difference in bistability in the two models.
Φραγκιουδάκη, Κλεοπάτρα. "Μελέτη των υπομονάδων των υποδοχέων διεγερτικών και ανασταλτικών αμινοξέων στον εγκέφαλο ενός γενετικού μοντέλου της νόσου Parkinson." 2005. http://nemertes.lis.upatras.gr/jspui/handle/10889/370.
Full textIn the present study we investigated the expression of the subunits of glutamate and γ-aminobutyric acid (GABA) receptors in basal ganglia and cerebral cortex of the weaver mouse. We also studied the expression of striatal neuropeptides, which are important neuromodulators of the synaptic transmission in the basal ganglia circuitry. The weaver mouse is characterized by a progressive, genetically induced degeneration of the mesencephalic dopaminergic neurons, especially those that project to the striatum. For this reason, the weaver mouse is a useful model for clarifying the pathogenetic mechanisms that underly Parkinson’s disease. Using the in situ hybridization method, the mRNA levels of the ΝΜDA subunits z1, ε1 and ε2, the kainate subunits KΑ2 and GluR6, the GABAA subunits α1, α2, α4, β2 and β3, as well as the mRNA levels of the precursor polypeptides pre-proenkephalin and prodynorphin, were estimated. The study was performed using wild-type (+/+) and weaver mice (wv/wv) of the following ages: 26 days, 3 months and 6 months. Concerning the glutamate receptors, an increase in the mRNA levels of z1, ε2, KA2 and GluR6 subunits was indicated in the weaver striatum, compared to the wild type. The z1, ε2 and GluR6 mRNA increases were observed only at the age of 6 months, whereas the KA2 mRNA increase was observed at all three ages studied. The increases in z1, ε2, ΚΑ2 and GluR6 mRNA expression are in agreement and probably explain the increased levels of ΝΜDA- and non-NMDA-sensitive binding sites that we had previously found in the 6 months old weaver striatum. Based on bibliographic data, we suggest that the delayed increases in z1, ε2 and GluR6 mRNA levels, are probably mediated by the delayed induction of the ΔfosB transcription factor, in response to the reduction of striatal dopamine levels. In the somatosensory cortex of 26 day old weaver mice, an increase in the levels of z1, ε1, ε2 and ΚΑ2 mRNAs was observed. The above increases can be attributed to the decreased thalamocortical glutamatergic imput. Concerning the GABAA receptors, the observed increases of the α4 and β3 mRNA levels in the 6 months old weaver striatum are in agreement and probably explain the increased levels of GABAA binding sites that we had previously found in the 6 months old weaver striatum. We are going to test the hypothesis, that the α4 mRNA increase might indicate an increase in the number of extrasynaptic GABAA receptors in striatal projection neurons. In the 6 months old weaver globus pallidus, the observed decrease in α1 and β2 mRNA levels was expected, since the GABAergic transmission is increased in the above region of the weaver brain. In the weaver somatosensory cortex, a decrease in the α2 and β2 mRNA levels and an increase in the α4 and β3 mRNA levels were observed. Based on bibliographic data, we suggest that the above alterations probably indicate a differential regulation of the synaptic versus extrasynaptic cortical GABAA receptors, in response to the decreased GABAergic presynaptic input to the weaver cortical neurons. Concerning the expression of the striatal neuropeptides, the pre-proenkephalin mRNA was increased in the weaver striatum, only at the age of 6 months. In contrast, prodynorphin mRNA was decreased in the 26 day old weaver striatum, whereas it was increased in the 3 and 6 months old weaver striatum. Based on bibliographic data, we suggest that: a) the delayed increase in the expression of pre-proenkephalin could be caused by the reduction of the tonic dopaminergic inhibitory control on the expression of the above gene in the dopamine-depleted weaver striatum and is probably mediated by the ΔfosB transcription factor; b) the above transcription factor could be responsible for the delayed induction of the prodynorphin expression in the weaver striatum as well, and c) the decrease of prodynorphin mRNA in the 26 day old weaver striatum could be attributed to the reduction of the dopaminergic stimulatory control on the expression of the above gene. Finally, the different pattern of expression alterations among the three ages studied indicates that distinct mechanisms are responsible for the observed changes, during the progress of the dopaminergic degeneration of the weaver brain.
Πούλου, Παρασκευή. "Αλληλεπιδράσεις των συστημάτων νευροδιαβίβασης ντοπαμίνης/αδενοσίνης στον εγκέφαλο των "weaver" μυών, γενετικού μοντέλου ντοπαμινεργικής απονεύρωσης." Thesis, 2007. http://nemertes.lis.upatras.gr/jspui/handle/10889/593.
Full textThe present work studied the antagonistic interaction of A1/D1 receptors at the level of mRNA expression of the immediate early gene zif/268 (used as a marker of neuronal function). In parallel we studied the in vivo signal transduction of A1 and A2A adenosine receptors under dopamine deficiency in weaver mutant. The weaver mutant represents the only genetic animal model of gradual nigrostriatal neuron degeneration, which can be characterized as a pathophysiological phenocopy of Parkinson’s Disease. In the first part of the study, the co-activation of A1 and D1 receptors revealed the well-known antagonistic interaction of these receptors (possibly through the formation of A1/D1 heterodimer) in weaver mutant. An interesting result was that the activation of A1 receptors alone did induce zif/268 mRNA expression in stiatal and specific cortical neurons in weaver mutant. This induction was not expected, since A1 receptors are Gi-coupled and suppress the signal transduction pathway that leads to zif/268 induction through AC/PKA/p-DARPP-32/pCREB cascade. Further study, revealed that the A1 receptor-induced zif/268 mRNA expression is counteracted by the A2A receptor selective antagonist ZM241385 and by the D2 receptor selective agonist Quinpirole, suggesting the activation of A2A receptors and thus the activation of the “indirect pathway”. Moreover, A1 receptors activation induced the expression of enkephalin mRNA, but not of dynorphin, which are considered as marker of neuronal activation of the “indirect” and the “direct” pathway, respectively. The fact that the A1 receptor agonist did not induced zif/268 mRNA expression in +/+ animals indicates that under dopamine deficiency the A2A receptors react with a supersensitive response. This response was analyzed in weaver mouse after in vivo A2A receptor activation: a) by examining the classical signal transduction pathway of A2A receptors/AC/PKA/p-DARPP-32/pCREB, which leads to zif/268 expression and b) by studying the MAPK cascade. Results showed increased basal phosphorylation levels of DARPP-32 (dopamine- and cAMP-regulated phosphoprotein, MW 32kDa) of Thr-34 in weaver compared to control mice. Increased phosphoThr34-DARPP-32 would amplify the effects of the PKA and thus facilitating the signal transduction through A2A receptors/AC/PKA/p-DARPP-32/pCREB. Therefore, the A2A receptors supersensitive response under dopamine deficiency in weaver mutant seems to be due to elevated endogenous phosphorylation levels of DARPP-32. Interestingly, while the basal phosphorylation levels of ERK1/2 (MAPK44/42) are elevated in weaver mutant, they are significantly reduced after A2A receptor activation. Although we do not know the mechanism through which the endogenous ERK1/2 levels are elevated, the conclusion is that, under dopamine deficiency, A2A receptors do not activate MAPK cascade. The present in vivo study demonstrates the role of A1 and A2A adenosine receptors in the function of basal ganglia under dopamine deficiency. Our results are significant since the expreriments were performed in a genetic parkinsonian model, in which the dopaminergic neurons are gradually degenerated and thus simulate the human PD, and not in an acute toxic model. Moreover, these results could be of possible clinical relevance, since the activation of A1 receptors by endogenous adenosine would exaggerate the motor dysfunctions of PD. Furthermore, the enhanced signal transduction pathway through A2A receptors supports the suggestion that the A2A receptor antagonists as antiparkinsonian agents. Given the well-known A2A/D2 antagonistic interaction, new therapeutical prospectives would involve the development of pharmacological bivalent ligands, which can interact with the A2A/D2 receptors and act simultaneously as A2A receptor antagonists and as D2 receptor agonists.
O'Connell, Adam Brett. "Development of an acute excitotoxic model of Huntington's disease in sheep." Thesis, 2020. http://hdl.handle.net/2440/127292.
Full textThesis (Ph.D.) -- University of Adelaide, Adelaide Medical School, 2020
Kundu, Madan Gopal. "Advanced Modeling of Longitudinal Spectroscopy Data." Thesis, 2014. http://hdl.handle.net/1805/5454.
Full textMagnetic resonance (MR) spectroscopy is a neuroimaging technique. It is widely used to quantify the concentration of important metabolites in a brain tissue. Imbalance in concentration of brain metabolites has been found to be associated with development of neurological impairment. There has been increasing trend of using MR spectroscopy as a diagnosis tool for neurological disorders. We established statistical methodology to analyze data obtained from the MR spectroscopy in the context of the HIV associated neurological disorder. First, we have developed novel methodology to study the association of marker of neurological disorder with MR spectrum from brain and how this association evolves with time. The entire problem fits into the framework of scalar-on-function regression model with individual spectrum being the functional predictor. We have extended one of the existing cross-sectional scalar-on-function regression techniques to longitudinal set-up. Advantage of proposed method includes: 1) ability to model flexible time-varying association between response and functional predictor and (2) ability to incorporate prior information. Second part of research attempts to study the influence of the clinical and demographic factors on the progression of brain metabolites over time. In order to understand the influence of these factors in fully non-parametric way, we proposed LongCART algorithm to construct regression tree with longitudinal data. Such a regression tree helps to identify smaller subpopulations (characterized by baseline factors) with differential longitudinal profile and hence helps us to identify influence of baseline factors. Advantage of LongCART algorithm includes: (1) it maintains of type-I error in determining best split, (2) substantially reduces computation time and (2) applicable even observations are taken at subject-specific time-points. Finally, we carried out an in-depth analysis of longitudinal changes in the brain metabolite concentrations in three brain regions, namely, white matter, gray matter and basal ganglia in chronically infected HIV patients enrolled in HIV Neuroimaging Consortium study. We studied the influence of important baseline factors (clinical and demographic) on these longitudinal profiles of brain metabolites using LongCART algorithm in order to identify subgroup of patients at higher risk of neurological impairment.
Partial research support was provided by the National Institutes of Health grants U01-MH083545, R01-CA126205 and U01-CA086368