Rozprawy doktorskie na temat „Basal ganglia”
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Moss, Jonathan. "Microcircuitry of the Basal Ganglia". Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514971.
Pełny tekst źródłaDrinnan, Suzane Loraine. "G proteins in the basal ganglia". Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28981.
Pełny tekst źródłaMedicine, Faculty of
Graduate
Mogoseanu, Diana. "Basal ganglia connections with orofacial muscles". Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260710.
Pełny tekst źródłaSmith, Denise P. A. "The Basal Ganglia and Sequential Learning". Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353430597.
Pełny tekst źródłaChurch, Andrew John. "Anti-basal ganglia antibodies in movement disorders". Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1444607/.
Pełny tekst źródłaBrown, Jennifer. "Feedback motor control and the basal ganglia". Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648678.
Pełny tekst źródłaNoy, G. "Abnormal motor behaviour and the basal ganglia". Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370974.
Pełny tekst źródłaHutton, Elizabeth Anne May. "Somatosensory cortical input to the basal ganglia". Thesis, University of Edinburgh, 1998. http://webex.lib.ed.ac.uk/abstracts/hutton01.pdf.
Pełny tekst źródłavan, Albada Sacha. "Mean-field analysis of basal ganglia and thalamocortical dynamics". Connect to full text, 2008. http://ses.library.usyd.edu.au/handle/2123/5124.
Pełny tekst źródłaIncludes graphs and tables. Includes list of publications. Title from title screen (viewed June 17, 2009) Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Physics, Faculty of Science. Degree awarded 2009; thesis submitted 2008. Includes bibliographical references. Also available in print form.
Deus, Yela Juan. "Sistema fronto-basal y aprendizaje incidental". Doctoral thesis, Universitat de Barcelona, 1996. http://hdl.handle.net/10803/670405.
Pełny tekst źródłaGaras, Farid. "Structural and functional heterogeneity of striatal interneuron populations". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:cfa09ed5-63be-40b4-a974-0f0f0c273656.
Pełny tekst źródłaHallworth, Nicholas E. "Hippocampal theta-related properties of the basal ganglia". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ64958.pdf.
Pełny tekst źródłaKamali, 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.
Pełny tekst źródłaQC 20131209
Marshall, Fiona. "Cholecystokinin/dopamine interactions in the rat basal ganglia". Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386170.
Pełny tekst źródłaKrosigk, Marcus von. "Information processing in output pathways from basal ganglia". Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276840.
Pełny tekst źródłaCanavan, A. G. M. "Functions of basal ganglia in man and monkey". Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376889.
Pełny tekst źródłaSaunders, Arpiar Bruce. "Circuit interactions between the cortex and basal ganglia". Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13129563.
Pełny tekst źródłaSimpson, Carol S. "Regulation of gene expression in the basal ganglia". Thesis, University of Glasgow, 1995. http://theses.gla.ac.uk/38912/.
Pełny tekst źródłaEddy, Clare Margaret. "Social cognition in disorders of the basal ganglia". Thesis, University of Birmingham, 2009. http://etheses.bham.ac.uk//id/eprint/366/.
Pełny tekst źródłaChan, Shiao-hui. "Linguistic Sequencing in the Cortex and Basal Ganglia". Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195441.
Pełny tekst źródłaNg, Kwok Yan. "Localization of GABA receptors in the rat basal ganglia". HKBU Institutional Repository, 2003. http://repository.hkbu.edu.hk/etd_ra/421.
Pełny tekst źródłaSøiland, 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.
Pełny tekst źródłaThis 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.
van, Albada Sacha Jennifer. "Mean-field analysis of basal ganglia and thalamocortical dynamics". University of Sydney, 2009. http://hdl.handle.net/2123/5124.
Pełny tekst źródłaWhen modeling a system as complex as the brain, considerable simplifications are inevitable. The nature of these simplifications depends on the available experimental evidence, and the desired form of model predictions. A focus on the former often inspires models of networks of individual neurons, since properties of single cells are more easily measured than those of entire populations. However, if the goal is to describe the processes responsible for the electroencephalogram (EEG), such models can become unmanageable due to the large numbers of neurons involved. Mean-field models in which assemblies of neurons are represented by their average properties allow activity underlying the EEG to be captured in a tractable manner. The starting point of the results presented here is a recent physiologically-based mean-field model of the corticothalamic system, which includes populations of excitatory and inhibitory cortical neurons, and an excitatory population representing the thalamic relay nuclei, reciprocally connected with the cortex and the inhibitory thalamic reticular nucleus. The average firing rates of these populations depend nonlinearly on their membrane potentials, which are determined by afferent inputs after axonal propagation and dendritic and synaptic delays. It has been found that neuronal activity spreads in an approximately wavelike fashion across the cortex, which is modeled as a two-dimensional surface. On the basis of the literature, the EEG signal is assumed to be roughly proportional to the activity of cortical excitatory neurons, allowing physiological parameters to be extracted by inverse modeling of empirical EEG spectra. One objective of the present work is to characterize the statistical distributions of fitted model parameters in the healthy population. Variability of model parameters within and between individuals is assessed over time scales of minutes to more than a year, and compared with the variability of classical quantitative EEG (qEEG) parameters. These parameters are generally not normally distributed, and transformations toward the normal distribution are often used to facilitate statistical analysis. However, no single optimal transformation exists to render data distributions approximately normal. A uniformly applicable solution that not only yields data following the normal distribution as closely as possible, but also increases test-retest reliability, is described in Chapter 2. Specialized versions of this transformation have been known for some time in the statistical literature, but it has not previously found its way to the empirical sciences. Chapter 3 contains the study of intra-individual and inter-individual variability in model parameters, also providing a comparison of test-retest reliability with that of commonly used EEG spectral measures such as band powers and the frequency of the alpha peak. It is found that the combined model parameters provide a reliable characterization of an individual's EEG spectrum, where some parameters are more informative than others. Classical quantitative EEG measures are found to be somewhat more reproducible than model parameters. However, the latter have the advantage of providing direct connections with the underlying physiology. In addition, model parameters are complementary to classical measures in that they capture more information about spectral structure. Another conclusion from this work was that a few minutes of alert eyes-closed EEG already contain most of the individual variability likely to occur in this state on the scale of years. In Chapter 4, age trends in model parameters are investigated for a large sample of healthy subjects aged 6-86 years. Sex differences in parameter distributions and trends are considered in three age ranges, and related to the relevant literature. We also look at changes in inter-individual variance across age, and find that subjects are in many respects maximally different around adolescence. This study forms the basis for prospective comparisons with age trends in evoked response potentials (ERPs) and alpha peak morphology, besides providing a standard for the assessment of clinical data. It is the first study to report physiologically-based parameters for such a large sample of EEG data. The second main thrust of this work is toward incorporating the thalamocortical system and the basal ganglia in a unified framework. The basal ganglia are a group of gray matter structures reciprocally connected with the thalamus and cortex, both significantly influencing, and influenced by, their activity. Abnormalities in the basal ganglia are associated with various disorders, including schizophrenia, Huntington's disease, and Parkinson's disease. A model of the basal ganglia-thalamocortical system is presented in Chapter 5, and used to investigate changes in average firing rates often measured in parkinsonian patients and animal models of Parkinson's disease. Modeling results support the hypothesis that two pathways through the basal ganglia (the so-called direct and indirect pathways) are differentially affected by the dopamine depletion that is the hallmark of Parkinson's disease. However, alterations in other components of the system are also suggested by matching model predictions to experimental data. The dynamics of the model are explored in detail in Chapter 6. Electrophysiological aspects of Parkinson's disease include frequency reduction of the alpha peak, increased relative power at lower frequencies, and abnormal synchronized fluctuations in firing rates. It is shown that the same parameter variations that reproduce realistic changes in mean firing rates can also account for EEG frequency reduction by increasing the strength of the indirect pathway, which exerts an inhibitory effect on the cortex. Furthermore, even more strongly connected subcircuits in the indirect pathway can sustain limit cycle oscillations around 5 Hz, in accord with oscillations at this frequency often observed in tremulous patients. Additionally, oscillations around 20 Hz that are normally present in corticothalamic circuits can spread to the basal ganglia when both corticothalamic and indirect circuits have large gains. The model also accounts for changes in the responsiveness of the components of the basal ganglia-thalamocortical system, and increased synchronization upon dopamine depletion, which plausibly reflect the loss of specificity of neuronal signaling pathways in the parkinsonian basal ganglia. Thus, a parsimonious explanation is provided for many electrophysiological correlates of Parkinson's disease using a single set of parameter changes with respect to the healthy state. Overall, we conclude that mean-field models of brain electrophysiology possess a versatility that allows them to be usefully applied in a variety of scenarios. Such models allow information about underlying physiology to be extracted from the experimental EEG, complementing traditional measures that may be more statistically robust but do not provide a direct link with physiology. Furthermore, there is ample opportunity for future developments, extending the basic model to encompass different neuronal systems, connections, and mechanisms. The basal ganglia are an important addition, not only leading to unified explanations for many hitherto disparate phenomena, but also contributing to the validation of this form of modeling.
Khorram, Babak. "Functionally relevant basal ganglia subdivisions in first-episode schizophrenia". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/412.
Pełny tekst źródłaHuang, Zhuo. "Properties of NMDA receptors in the rat basal ganglia". Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1443978/.
Pełny tekst źródłaAbualait, Turki S. Sabrah. "Investigating basal ganglia function using ultra-high field MRI". Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/32366/.
Pełny tekst źródłaInoue, Manabu. "Sensory stimulation accelerates dopamine release in the basal ganglia". Kyoto University, 2006. http://hdl.handle.net/2433/144317.
Pełny tekst źródła0048
新制・課程博士
博士(医学)
甲第11982号
医博第2926号
新制||医||912(附属図書館)
23795
UT51-2006-C662
京都大学大学院医学研究科脳統御医科学系専攻
(主査)教授 髙橋 良輔, 教授 金子 武嗣, 教授 大森 治紀
学位規則第4条第1項該当
van, Albada Sacha Jennifer. "Mean-field analysis of basal ganglia and thalamocortical dynamics". Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/5124.
Pełny tekst źródłaMorari, Michele. "Physiopathological aspects of NMDA transmission in the basal ganglia : in vitro and in vivo release studies /". Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3347-2.
Pełny tekst źródłaBooth, Philip Anthony Chesworth. "Studies on the pallidostriatal and pallidosubthalmic pathways". Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249380.
Pełny tekst źródłaShin, SooYoon. "Role of the primate basal ganglia in saccadic eye movements". UNIVERSITY OF PITTSBURGH, 2012. http://pqdtopen.proquest.com/#viewpdf?dispub=3485870.
Pełny tekst źródłaAugood, Sarah Jane. "Chemical signalling in the basal ganglia : manipulation of dopamine neurotransmission". Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304190.
Pełny tekst źródłaShaunak, Sandip. "Frontal lobe and basal ganglia control of saccadic eye movements". Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299858.
Pełny tekst źródłaChatha, B. Tracey. "Localization of excitatory amino acid receptors in the basal ganglia". Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365693.
Pełny tekst źródłaLacey, Carolyn Jane. "The neural networks interconnecting the basal ganglia and the thalamus". Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437355.
Pełny tekst źródłaMorris, Laurel Sophia. "Cortical-basal ganglia circuits : control of behaviour and alcohol misuse". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/268015.
Pełny tekst źródłaNastuk, Mary Alden. "Muscarinic cholinergic receptors in the developing and mature basal ganglia". Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14601.
Pełny tekst źródłaTitle as it appeared in M.I.T. Graduate List, June 1988: Muscarinic cholinergic binding sites in the developing and mature basal ganglia.
Includes bibliographical references.
by Mary Alden Nastuk.
Ph.D.
Flaherty, Alice Weaver. "Multiple stages of sensorimotor processing in the primate basal ganglia". Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12884.
Pełny tekst źródłaGillies, Andrew J. "The role of the subthalamic nucleus in the basal ganglia". Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/522.
Pełny tekst źródłaClinch, Susanne. "Developing and evaluating behavioural tasks to assess basal ganglia function". Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/100957/.
Pełny tekst źródłaFuruta, Takahiro. "A novel modulatory system in the cortico-basal-ganglia loop". 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/149163.
Pełny tekst źródłaConnell, Timothy M. "The role of the basal ganglia in cognition and language". Title page, contents and abstract only, 2001. http://web4.library.adelaide.edu.au/theses/09PH/09phc75235.pdf.
Pełny tekst źródłaTinterri, Andrea. "From fate specification to circuit formation within the basal ganglia". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066576/document.
Pełny tekst źródłaBasal ganglia (BG) are a set of brain nuclei that control crucial aspects of everyday life such as motor control, habit learning and reward. In particular, the striatum is the biggest nucleus and input station of BG. It is formed by two subsets of projection neurons (SPN) that modulate BG output activity either directly (dSPN) or indirectly via other BG structures (iSPN). The two populations are intermixed, allowing parallel activation of the two pathways. Impaired balance of dSPN and iSPN activity is part of the aetiology of many BG neuropathies, including Parkinson’s and Huntington’s diseases; however, to date we have poor knowledge on how the two subtypes are specified and how they intermix during development. Using a unique combination of mouse genetic tools, here I show that dSPN and iSPN are specified early as independent populations, have different early distribution and gradually intermix. Moreover, I show that the process of intermix relies on expression of transcription factor Ebf1 in dSPN, a gene that also controls dSPN ability to integrate in BG circuits. These findings provide a new framework to investigate the molecular mechanisms controlling striatal mosaic assembly and will provide instrumental to generate fully formed striatal neurons in vitro. Another BG population, corridor neurons, shares common origin with SPN; however, instead of migrating toward the striatum, these cells form a transient corridor (Co) that is crucial for the formation of the internal capsule, a major axonal pathway in mammals. Despite their importance for brain wiring, whether Co cells also play a role in the adult brain is unknown. Through a combination of genetic fate map and in vivo timecourse, I surprisingly show that these cells participate to specific nuclei of the central extended amygdala, a structure implicated in anxiety and fear response. This finding indicates that Co neurons might contribute to anxiety regulation and sheds new light on the formation of evolutionarily conserved structures of great behavioral and clinical interest. Taken together, my findings not only provide new and critical information on neuronal migration and circuit formation in the BG, but also a new conceptual framework to investigate the formation of nuclear structures of the anterior brain
Tinterri, Andrea. "From fate specification to circuit formation within the basal ganglia". Electronic Thesis or Diss., Paris 6, 2016. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2016PA066576.pdf.
Pełny tekst źródłaBasal ganglia (BG) are a set of brain nuclei that control crucial aspects of everyday life such as motor control, habit learning and reward. In particular, the striatum is the biggest nucleus and input station of BG. It is formed by two subsets of projection neurons (SPN) that modulate BG output activity either directly (dSPN) or indirectly via other BG structures (iSPN). The two populations are intermixed, allowing parallel activation of the two pathways. Impaired balance of dSPN and iSPN activity is part of the aetiology of many BG neuropathies, including Parkinson’s and Huntington’s diseases; however, to date we have poor knowledge on how the two subtypes are specified and how they intermix during development. Using a unique combination of mouse genetic tools, here I show that dSPN and iSPN are specified early as independent populations, have different early distribution and gradually intermix. Moreover, I show that the process of intermix relies on expression of transcription factor Ebf1 in dSPN, a gene that also controls dSPN ability to integrate in BG circuits. These findings provide a new framework to investigate the molecular mechanisms controlling striatal mosaic assembly and will provide instrumental to generate fully formed striatal neurons in vitro. Another BG population, corridor neurons, shares common origin with SPN; however, instead of migrating toward the striatum, these cells form a transient corridor (Co) that is crucial for the formation of the internal capsule, a major axonal pathway in mammals. Despite their importance for brain wiring, whether Co cells also play a role in the adult brain is unknown. Through a combination of genetic fate map and in vivo timecourse, I surprisingly show that these cells participate to specific nuclei of the central extended amygdala, a structure implicated in anxiety and fear response. This finding indicates that Co neurons might contribute to anxiety regulation and sheds new light on the formation of evolutionarily conserved structures of great behavioral and clinical interest. Taken together, my findings not only provide new and critical information on neuronal migration and circuit formation in the BG, but also a new conceptual framework to investigate the formation of nuclear structures of the anterior brain
Larsen, Tobias. "The Role of Basal Ganglia in Decision Making and Reinforcement Learning". Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520597.
Pełny tekst źródłaHayes, Lauren Mary. "Subcortical loops through the basal ganglia are organised into segregated channels". Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548391.
Pełny tekst źródłaBurgess, Jonathan G. "Identifying tremor-related characteristics of basal ganglia nuclei in Parkinson's disease". Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541954.
Pełny tekst źródłaSharott, Andrew David. "The role of oscillation population activity in cortico-basal ganglia circuits". Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1445058/.
Pełny tekst źródłaOldenburg, Ian Anton. "Basal Ganglia Modulation of Cortical Firing Rates in a Behaving Animal". Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13094354.
Pełny tekst źródłaMarrow, Lynne. "Anatomical and behavioural investigations of the basal ganglia in the rat". Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333467.
Pełny tekst źródła