Academic literature on the topic 'Striatum Dynamics'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Striatum Dynamics.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Striatum Dynamics"
Bakhurin, Konstantin I., Victor Mac, Peyman Golshani, and Sotiris C. Masmanidis. "Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice." Journal of Neurophysiology 115, no. 3 (March 1, 2016): 1521–32. http://dx.doi.org/10.1152/jn.01037.2015.
Full textEvans, R. C., G. A. Herin, S. L. Hawes, and K. T. Blackwell. "Calcium-dependent inactivation of calcium channels in the medial striatum increases at eye opening." Journal of Neurophysiology 113, no. 7 (April 2015): 2979–86. http://dx.doi.org/10.1152/jn.00818.2014.
Full textKondabolu, Krishnakanth, Erik A. Roberts, Mark Bucklin, Michelle M. McCarthy, Nancy Kopell, and Xue Han. "Striatal cholinergic interneurons generate beta and gamma oscillations in the corticostriatal circuit and produce motor deficits." Proceedings of the National Academy of Sciences 113, no. 22 (May 16, 2016): E3159—E3168. http://dx.doi.org/10.1073/pnas.1605658113.
Full textCarrillo-Reid, Luis, Fatuel Tecuapetla, Nicolas Vautrelle, Adán Hernández, Ramiro Vergara, Elvira Galarraga, and José Bargas. "Muscarinic Enhancement of Persistent Sodium Current Synchronizes Striatal Medium Spiny Neurons." Journal of Neurophysiology 102, no. 2 (August 2009): 682–90. http://dx.doi.org/10.1152/jn.00134.2009.
Full textDing, Long. "Distinct dynamics of ramping activity in the frontal cortex and caudate nucleus in monkeys." Journal of Neurophysiology 114, no. 3 (September 2015): 1850–61. http://dx.doi.org/10.1152/jn.00395.2015.
Full textKudryavtseva, V. A., A. V. Moiseeva, S. G. Mukhamedova, G. A. Piavchenko, and S. L. Kuznetsov. "Age- and sex-related dynamics of structural and functional motor behavior interactions in striatum neurons in rats." Sechenov Medical Journal 13, no. 2 (December 7, 2022): 20–29. http://dx.doi.org/10.47093/2218-7332.2022.13.2.20-29.
Full textZhang, Rui L., Michael Chopp, Sara R. Gregg, Yier Toh, Cindi Roberts, Yvonne LeTourneau, Benjamin Buller, Longfei Jia, Siamak P. Nejad Davarani, and Zheng G. Zhang. "Patterns and Dynamics of Subventricular Zone Neuroblast Migration in the Ischemic Striatum of the Adult Mouse." Journal of Cerebral Blood Flow & Metabolism 29, no. 7 (May 13, 2009): 1240–50. http://dx.doi.org/10.1038/jcbfm.2009.55.
Full textChepkova, Aisa N., Susanne Schönfeld, and Olga A. Sergeeva. "Age-Related Alterations in the Expression of Genes and Synaptic Plasticity Associated with Nitric Oxide Signaling in the Mouse Dorsal Striatum." Neural Plasticity 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/458123.
Full textGangarossa, Giuseppe, Sylvie Perez, Yulia Dembitskaya, Ilya Prokin, Hugues Berry, and Laurent Venance. "BDNF Controls Bidirectional Endocannabinoid Plasticity at Corticostriatal Synapses." Cerebral Cortex 30, no. 1 (April 25, 2019): 197–214. http://dx.doi.org/10.1093/cercor/bhz081.
Full textBigan, Erwan, Satish Sasidharan Nair, François-Xavier Lejeune, Hélissande Fragnaud, Frédéric Parmentier, Lucile Mégret, Marc Verny, Jeff Aaronson, Jim Rosinski, and Christian Neri. "Genetic cooperativity in multi-layer networks implicates cell survival and senescence in the striatum of Huntington’s disease mice synchronous to symptoms." Bioinformatics 36, no. 1 (June 22, 2019): 186–96. http://dx.doi.org/10.1093/bioinformatics/btz514.
Full textDissertations / Theses on the topic "Striatum Dynamics"
Badreddine, Nagham. "Caractérisation des substrats neuronaux de la mémoire procédurale : rôle de la dynamique des réseaux corticostriataux Spatiotemporal reorganization of corticostriatal network 1 dynamics encodes 2 motor skill learning." Thesis, Université Grenoble Alpes, 2020. https://thares.univ-grenoble-alpes.fr/2020GRALV032.pdf.
Full textProcedural memory is the memory of habits, involved in the acquisition and maintenance of new motor skills. The neural substrates underlying this memory are the basal ganglia (BG), a group of structures involved in motor and cognitive functions. The input nucleus of the BG is the striatum, earning it a central role in relaying information between the cortex and other subcortical structures, thus ensuring the selection and integration of cortical information within parallel functional loops. Procedural learning first follows a goal-directed behavior mediated by the associative loops, including the dorsomedial striatum (DMS), which is then transferred to an automatic behavior where habit is formed and mediated by the sensorimotor loops including the dorsolateral striatum (DLS). The anatomy and the evolution of the dynamics of the striatal networks has been well described during procedural learning, and the involvement of each striatal territory in a specific phase of learning established. However, how procedural learning is encoded at the level of the corticostriatal networks remains unknown.During my PhD work, we were interested in characterizing the dynamics of the corticostriatal networks involved in motor skill learning and determining the neural correlates responsible for the formation of this memory. We first used two-photon ex vivo calcium imaging to monitor the activity of the networks during the different phases of procedural learning. First we extracted the calcium responses of only medium spiny neurons (MSNs), the striatal output neurons. To distinguish MSNs from other striatal neurons, we developed a cell-sorting classifier based on the calcium responses of neurons and their morphology. We showed a specific reorganization of the DMS networks during the early phase, and the DLS during the late phase of motor skill learning. In DMS, the activity of the networks decreased after early training and returned to a basal level after late training. The main activity of the DMS networks was held by a group of highly active (HA) cells. In DLS, the reorganization of the activity was gradual and localized in small clusters of activity after late training. We then examined the properties of the HA cells in DMS and clusters in DLS. The existence of HA cells and clusters are directly correlated to the performance of the animals. Whole-cell patch-clamp recordings allowed us to characterize electrophysiological properties of HA bells and determine an increase of the synaptic weight of cingulate cortex inputs to HA cells in DMS after early learning. Anatomical tracing showed more robust changes in the DLS with an increase of the number of somatosensory projections to the DLS after late training. Using an AAV cFos-TRAP strategy coupled to chemogenetics, we inhibited HA and cluster cells, leading to impaired motor learning. These experiments thus highlighted the necessity of these cells in early and late phases of motor skill learning respectively.Next we wanted to explore if deficits in motor skill learning occur in a premotor-symptomatic phase of a mouse model of Huntington’s disease (HD), and if they would be associated to dysfunctions in the corticostriatal networks. We first showed deficits in the late phase of motor skill learning in a mouse model of HD. Using ex vivo two-photon calcium imaging, we explored the DMS and DLS networks and we observed an alteration of both networks in naïve HD animals and in addition, an absence of reorganization upon motor skill learning. These results confirm the importance of the reorganization of the networks in motor skill learning.Altogether, this work provides a new insight on the role of the corticostriatal networks and their reorganization in motor skill learning. The necessity of HA and cluster cells opens the door of the ‘engram’ world to the striatal networks
Rutherford, Erin Cathleen. "MICROELECTRODE ARRAY RECORDINGS OF L-GLUTAMATE DYNAMICS IN THE BRAINS OF FREELY MOVING RATS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_diss/523.
Full textHowe, Mark W. (Mark William). "Dynamics of dopamine signaling and network activity in the striatum during learning and motivated pursuit of goals." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/79186.
Full textCataloged from PDF version of thesis. "February 2013."
Includes bibliographical references (p. 118-126).
Learning to direct behaviors towards goals is a central function of all vertebrate nervous systems. Initial learning often involves an exploratory phase, in which actions are flexible and highly variable. With repeated successful experience, behaviors may be guided by cues in the environment that reliably predict the desired outcome, and eventually behaviors can be executed as crystallized action sequences, or "habits", which are relatively inflexible. Parallel circuits through the basal ganglia and their inputs from midbrain dopamine neurons are believed to make critical contributions to these phases of learning and behavioral execution. To explore the neural mechanisms underlying goal-directed learning and behavior, I have employed electrophysiological and electrochemical techniques to measure neural activity and dopamine release in networks of the striatum, the principle input nucleus of the basal ganglia as rats learned to pursue rewards in mazes. The electrophysiological recordings revealed training dependent dynamics in striatum local field potentials and coordinated neural firing that may differentially support both network rigidity and flexibility during pursuit of goals. Electrochemical measurements of real-time dopamine signaling during maze running revealed prolonged signaling changes that may contribute to motivating or guiding behavior. Pathological over or under-expression of these network states may contribute to symptoms experienced in a range of basal ganglia disorders, from Parkinson's disease to drug addiction.
by Mark W. Howe.
Ph.D.in Neuroscience
Nickell, Justin Robert. "AGE-RELATED ALTERATIONS IN THE DYNAMICS OF L-GLUTAMATE REGULATION IN THE STRIATUM OF THE FISCHER 344 RAT." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_diss/236.
Full textOmar, Muhammad Yusof. "Modulation of Presynaptic Dopamine Synthesis and Storage Dynamics by D2-Like Receptor Partial Agonist Antipsychotics in Rat Brain Striatum." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670700.
Full textLa regulación dopaminérgica presináptica es importante para mantener un equilibrio homeostático de los niveles almacenados y liberación de dopamina. Los cambios en la neurotransmisión de dopamina contribuyen a los trastornos neurológicos y psiquiátricos. Hallazgos recientes de nuestro grupo (Ma et al., 2015; González-Sepúlveda et al., presentado) describieron los fuertes efectos de varias clases de medicamentos dopaminérgicos en la síntesis de dopamina, incluida L-DOPA (utilizada en Parkinson), tetrabenazina (Huntington) y aripiprazol (esquizofrenia). En este estudio, confirmamos y ampliamos esos hallazgos y comparamos los efectos de los antipsicóticos agonistas parciales D2R cariprazina y brexpiprazol, las psicoestimulantes anfetamina y metilfenidato varios otros compuestos selectivos y experimentales. El estriado cerebral de rata fue troceado e incubado ex-vivo en presencia o ausencia de estos fármacos a diferentes concentraciones. Espontáneamente, la dopamina y la serotonina se acumularon con el tiempo alcanzando niveles de almacenamiento casi máximos. Este enfoque experimental nos permitió evaluar su dinámica de síntesis y almacenamiento bajo la influencia de los agentes farmacológicos elegidos. Nuestros resultados podrían ser útiles para comprender los mecanismos de acción de los antipsicóticos, y podrían facilitar la investigación futura con modelos animales y ensayos clínicos utilizando nuevos agentes dopaminérgicos.
Presynaptic dopaminergic regulation is important to maintain a homeostatic balance of dopamine stored levels and release. Changes in dopamine neurotransmission contribute to neurological and psychiatric disorders. Recent findings from our group (Ma et al., 2015; González-Sepúlveda et al.,-submitted) describe strong effects of several classes of dopaminergic drugs on dopamine synthesis, including L-DOPA (used in Parkinson), tetrabenazine (Huntington) and aripiprazole (schizophrenia). In this study, I confirm and extend those findings and compare the effects of D2R partial agonist antipsychotics cariprazine and brexpiprazole, the psychostimulants amphetamine and methylphenidate, and several other selective and experimental compounds. Rat brain striatum was minced and incubated ex-vivo in the presence or absence of these drugs at different concentrations. Spontaneously, dopamine and serotonin accumulated over time reaching near-maximal storage levels. This experimental approach allowed me to evaluate their synthesis and storage dynamics under the influence of chosen pharmacological agents. My results could be useful to understand the mechanisms of action of antipsychotics, and they could facilitate further research with animal models and clinical trials using new dopaminergic agents.
Gritti, M. "ROLE OF EXCITATORY SEROTONERGIC SIGNALING IN THE PATHWAY-SPECIFIC NEUROMODULATION OF STRIATAL SYNAPTIC PLASTICITY." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/334490.
Full textArakaki, Takafumi. "Collective dynamics of basal ganglia-thalamo-cortical loops and their roles in functions and dysfunctions." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066123/document.
Full textThe Basal Ganglia (BG) are thought to be involved primarily in motor but also in non-motor functions. Unsurprisingly, the BG are shown to be involved in motor dysfunctions such as Parkinson's disease or dystonia. More recent studies suggest the key role of the BG in "non-motor" diseases such as absence epilepsy which is a generalized non-convulsive epilepsy. In these diseases, symptoms accompany various oscillatory patterns of neural activity often synchronized across the BG, cortex and other brain areas. How can the BG support these different kinds of oscillatory patterns?Recent experiments have highlighted the key role of the BG in absence seizures and question the traditional view in which thalamocortical circuits underlie absence seizures. We propose a novel theory according to which the feedbacks of cortical activity through BG make this network bistable and drive the oscillatory patterns of activity occurring during the seizures. Our theory is compatible with virtually all known experimental results and it predicts that well-timed transient excitatory inputs to the cortex advance the termination of absence seizures. We report preliminary experimental results consistent with this prediction.Multiple oscillatory frequencies are observed in Parkinsonian BG such as the frequencies of the limb tremor and the beta oscillations. We show that our model can generate oscillations with multiple timescales which resemble Parkinsonian oscillations. Our theory can model the oscillations in Parkinson's disease and absence epilepsy in a unified framework and points to two scenarios to explain multiple frequencies of pathological and functional oscillations
Huo, Jiuzhou. "Regulation of Mitochondrial Calcium Dynamics in Striated Muscle Function." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595846761184679.
Full textBercovici, Debra Ann. "Optogenetic dissection of temporal dynamics of amygdala-striatal interplay during risk/reward decision making." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62749.
Full textArts, Faculty of
Psychology, Department of
Graduate
Smith, Kimberley Hazel. "Fast Fourier transform and dynamic imaging of caveolar complex arrays in active striated muscle." Thesis, University of Leicester, 2010. http://hdl.handle.net/2381/8767.
Full textBooks on the topic "Striatum Dynamics"
Miller, Robert, 1943 Aug. 29- and Wickens J, eds. Brain dynamics and the striatal complex. Amsterdam, Netherlands: Harwood Academic, 2000.
Find full textWickens, J. R. Brain Dynamics and the Striatal Complex. Edited by R. Miller. Abingdon, UK: Taylor & Francis, 2000. http://dx.doi.org/10.4324/9780203304914.
Full textAminoff, Tatiana. Muscle mass and age as factors influencing physical work capacity and strain in dynamic exercise. Helsinki: Finnish Institute of Occupational Health, 1999.
Find full textRobert, Miller, and Jeffrey Wickens. Brain Dynamics and the Striatal Complex. Taylor & Francis Group, 2000.
Find full textRobert, Miller, and Jeffrey Wickens. Brain Dynamics and the Striatal Complex. Taylor & Francis Group, 2000.
Find full textRobert, Miller, and Jeffrey Wickens. Brain Dynamics and the Striatal Complex. Taylor & Francis Group, 2000.
Find full textRobert, Miller, and Jeffrey Wickens. Brain Dynamics and the Striatal Complex. Taylor & Francis Group, 2000.
Find full textBook chapters on the topic "Striatum Dynamics"
Martin-Negrier, Marie-Laure, Céline Guigoni, Bertrand Bloch, and Erwan Bézard. "Regulation of G-Protein-Coupled Receptor (GPCR) Trafficking in the Striatum in Parkinson’s Disease." In Cortico-Subcortical Dynamics in Parkinson¿s Disease, 1–9. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-252-0_17.
Full textDay, Michelle, and D. James Surmeier. "Striatal Dendritic Adaptations in Parkinson’s Disease Models." In Cortico-Subcortical Dynamics in Parkinson¿s Disease, 1–17. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-252-0_4.
Full textPodlubnaya, Zoya A. "Composition and Structural Dynamics of Vertebrate Striated Muscle Thick Filaments." In Structure and Dynamics of Confined Polymers, 295–309. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0401-5_18.
Full textShevelev, Igor A., Konstantin A. Saltykov, and George A. Sharaev. "Geometric model of orientation tuning dynamics in striate neurons." In Biological and Artificial Computation: From Neuroscience to Technology, 54–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0032463.
Full textShindou, Tomomi, Gordon W. Arbuthnott, and Jeffery R. Wickens. "Neuromodulation and Neurodynamics of Striatal Inhibitory Networks: Implications for Parkinson’s Disease." In Cortico-Subcortical Dynamics in Parkinson¿s Disease, 1–11. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-252-0_14.
Full textWest, Anthony R., Stephen Sammut, and Marjorie A. Ariano. "Striatal Nitric Oxide–cGMP Signaling in an Animal Model of Parkinson’s Disease." In Cortico-Subcortical Dynamics in Parkinson¿s Disease, 1–14. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-252-0_11.
Full textGraybiel, Ann M. "Templates for Neural Dynamics in the Striatum: Striosomes and Matrisomes." In Handbook of Brain Microcircuits, edited by Gordon M. Shepherd and Sten Grillner, 133–42. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190636111.003.0012.
Full text"Adaptive Classification of Cortical Input to the Striatum by Competitive Learning." In Brain Dynamics and the Striatal Complex, 177–90. CRC Press, 2000. http://dx.doi.org/10.1201/9781482283556-13.
Full text"Insights from Gene Regulation into the Functional Role of Dopamine in the Striatum." In Brain Dynamics and the Striatal Complex, 191–206. CRC Press, 2000. http://dx.doi.org/10.1201/9781482283556-14.
Full text"The Amygdaloid Complex: Input Processor for the Midbrain Dopaminergic Nuclei and the Striatum." In Brain Dynamics and the Striatal Complex, 89–122. CRC Press, 2000. http://dx.doi.org/10.1201/9781482283556-9.
Full textConference papers on the topic "Striatum Dynamics"
Zhou, Bingqian, Kuikui Fan, and Lingjie Kong. "A biocompatible hydrogel-coated fiber-optic probe for monitoring pH dynamics in brains of freely moving mice." In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.69.
Full textWood, J. E. "On statistical-mechanical models for the molecular dynamics of striated muscle." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94680.
Full textHeeger, David J., and Edward H. Adelson. "Nonlinear model of cat striate physiology." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tut2.
Full textBaltoiu, Andra, Alexandru Nistorescu, Pierre de Hillerin, Mirel Vasiliu, Vlad Valeanu, Tudor Ion, and Calin Marin. "Preliminary qualitative analysis of mechanical impulse propagation dynamics in human striated muscle." In 2015 E-Health and Bioengineering Conference (EHB). IEEE, 2015. http://dx.doi.org/10.1109/ehb.2015.7391413.
Full textShukla, Amit, Ashutosh Mani, Amit Bhattacharya, and Fredy Revilla. "Classification of Postural Response in Parkinson’s Patients Using Support Vector Machines." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3888.
Full textYelamarty, Rao V., Joseph Y. Cheung, and Francis T. S. Yu. "LCTV-based hybrid optical-digital processor for the measurement of sarcomere dynamics in an isolated cardiac heart cell." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.thk6.
Full textAvendaño-Estrada, A., V. M. Lara-Camacho, M. C. Ávila-García, and M. A. Ávila- Rodríguez. "Reproducibility of quantitative measures of binding potential in rat striatum: A test re-test study using DTBZ dynamic PET studies." In XIII MEXICAN SYMPOSIUM ON MEDICAL PHYSICS. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4901371.
Full textFujime, Satoru. "Dynamic light-scattering study of wormlike chains: β-connectin (titin 2) from striated muscle." In Volga Laser Tour '93, edited by Valery V. Tuchin. SPIE, 1994. http://dx.doi.org/10.1117/12.178994.
Full textMelnikov, Leonid A., Anna V. Novosselova, Nadejda V. Blinova, Sergey I. Vinitsky, Vladislav V. Serov, Valery V. Bakutkin, T. G. Camenskich, and E. V. Guileva. "Potential dynamics of the human striate cortex cerebrum realistic neural network under the influence of an external signal." In Saratov Fall Meeting '99, edited by Vladimir L. Derbov, Leonid A. Melnikov, and Vladimir P. Ryabukho. SPIE, 2000. http://dx.doi.org/10.1117/12.380134.
Full textBiddell, Kevin M., and Jeffrey D. Johnson. "The effects of NMDA receptor model time dynamics over the short and long term when set to striatal dorsolateral and ventromedial medium spiny neurons." In 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2013. http://dx.doi.org/10.1109/ner.2013.6696141.
Full text