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Glutamate Binding in Primate Brain
Journal of Neuroscience Research 27512-521 (1990) Quisqualate- and NMDA-Sensitive [3H]Glutamate Binding in Primate Brain A.B. Young, G.W. Dauth, Z. Hollingsworth, J.B. Penney, K. Kaatz, and S. Gilman Department of Neurology. University of Michigan, Ann Arbor Excitatory amino acids (EAA) such as glutamate and Young and Fagg, 1990). Because EAA are involved in aspartate are probably the neurotransmitters of a general cellular metabolic functions, they were not orig- majority of mammalian neurons. Only a few previous inally considered to be likcl y neurotransmitter candi- studies have been concerned with the distribution of dates. Electrophysiological studies demonstrated con- the subtypes of EAA receptor binding in the primate vincingly the potency of these substances as depolarizing brain. We examined NMDA- and quisqualate-sensi- agents and eventually discerned specific subtypes of tive [3H]glutamate binding using quantitative autora- EAA receptors that responded preferentially to EAA an- diography in monkey brain (Macaca fascicularis). alogs (Dingledine et al., 1988). Coincident with the elec- The two types of binding were differentially distrib- trophysiological studies, biochemical studies indicated uted. NMDA-sensitive binding was most dense in that EAA were released from slice and synaptosome dentate gyrus of hippocampus, stratum pyramidale preparations in a calcium-dependent fashion and were of hippocampus, and outer layers of cerebral cortex. accumulated in synaptosomc preparations by a high-af- Quisqualate-sensitive binding was most dense in den- finity transport system. With these methodologies, EAA tate gyrus of hippocampus, inner and outer layers of release and uptake were found to be selectively de- cerebral cortex, and molecular layer of cerebellum. -
The Microscopical Structure of the Hippocampus in the Rat
Bratisl Lek Listy 2008; 109 (3) 106 110 EXPERIMENTAL STUDY The microscopical structure of the hippocampus in the rat El Falougy H, Kubikova E, Benuska J Institute of Anatomy, Faculty of Medicine, Comenius University, Bratislava, Slovakia. [email protected] Abstract: The aim of this work was to study the rat’s hippocampal formation by applying the light microscopic methods. The histological methods used to explore this region of the rat’s brain were the Nissl technique, the Bielschowsky block impregnation method and the rapid Golgi technique. In the Nissl preparations, we identified only three fields of the hippocampus proprius (CA1, CA3 and CA4). CA2 was distinguished in the Bielschowsky impregnated blocks. The rapid Golgi technique, according the available literature, gives the best results by using the fresh samples. In this study, we reached good results by using formalin fixed sections. The layers of the hippocampal formation were differentiated. The pyramidal and granular cells were identified together with their axons and dendrites (Fig. 9, Ref. 22). Full Text (Free, PDF) www.bmj.sk. Key words: archicortex, hippocampal formation, light microscopy, rat. Abbreviations: CA1 regio I cornus ammonis; CA2 regio II in the lateral border of the hippocampus. It continues under the cornus ammonis; CA3 regio III cornus ammonis; CA4 regio corpus callosum as the fornix. Supracommissural hippocampus IV cornus ammonis. (the indusium griseum) extends over the corpus callosum to the anterior portion of the septum as thin strip of gray cortex (5, 6). The microscopical structure of the hippocampal formation The hippocampal formation is subdivided into regions and has been studied intensively since the time of Cajal (1911) and fields according the cell body location, cell body shape and size, his student Lorente de Nó (1934). -
Distinct Transcriptomic Cell Types and Neural Circuits of the Subiculum and Prosubiculum Along 2 the Dorsal-Ventral Axis 3 4 Song-Lin Ding1,2,*, Zizhen Yao1, Karla E
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.14.876516; this version posted December 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Distinct transcriptomic cell types and neural circuits of the subiculum and prosubiculum along 2 the dorsal-ventral axis 3 4 Song-Lin Ding1,2,*, Zizhen Yao1, Karla E. Hirokawa1, Thuc Nghi Nguyen1, Lucas T. Graybuck1, Olivia 5 Fong1, Phillip Bohn1, Kiet Ngo1, Kimberly A. Smith1, Christof Koch1, John W. Phillips1, Ed S. Lein1, 6 Julie A. Harris1, Bosiljka Tasic1, Hongkui Zeng1 7 8 1Allen Institute for Brain Science, Seattle, WA 98109, USA 9 10 2Lead Contact 11 12 *Correspondence: [email protected] (SLD) 13 14 15 Highlights 16 17 1. 27 transcriptomic cell types identified in and spatially registered to “subicular” regions. 18 2. Anatomic borders of “subicular” regions reliably determined along dorsal-ventral axis. 19 3. Distinct cell types and circuits of full-length subiculum (Sub) and prosubiculum (PS). 20 4. Brain-wide cell-type specific projections of Sub and PS revealed with specific Cre-lines. 21 22 23 In Brief 24 25 Ding et al. show that mouse subiculum and prosubiculum are two distinct regions with differential 26 transcriptomic cell types, subtypes, neural circuits and functional correlation. The former has obvious 27 topographic projections to its main targets while the latter exhibits widespread projections to many 28 subcortical regions associated with reward, emotion, stress and motivation. -
Role of the Human Globus Pallidus in Tremorgenesis
Role of the human globus pallidus in tremorgenesis by Shane Ellis A thesis submitted in conformity with the requirements for the degree of Master’s of Science Department of Physiology University of Toronto© Copyright by Shane Ellis 2015 Role of the human globus pallidus in tremorgenesis Shane Ellis Master of Science Department of Physiology University of Toronto 2015 Abstract The GPi is a nucleus that serves as an output of the basal ganglia; a collection of nuclei which function in selecting movements to be executed. Tremor is defined as an unintentional, rhythmic, sinusoidal contraction of body parts. Currently, no scientific consensus has been reached as to where in the brain tremor arises. Using microelectrode recordings in human patients with and without tremor, we discovered a sub-population of cells that are capable of being induced into a brief theta oscillation following microstimulation. However, we found that theta burst stimulation was incapable of inducing visible tremor when microstimulating in the GPi, Vim, or STN. We also found preliminary evidence that this theta oscillation is capable of producing an LTP-like response within the GPi. We believe that this work adds strength to the “pallidocentric” view of tremor initiation which holds that the GPi is responsible for the onset of tremor. ii Acknowledgments First and foremost, I would like to thank my supervisor, Dr. Hutchison for his mentorship and guidance through these last two years; I couldn’t have completed this thesis without your help. Next, I would like to thank my parents and family for their continual support throughout the highs and lows of this journey called life. -
Ultrahigh-Resolution Microstructural Diffusion Tensor Imaging Reveals Perforant Path Degradation in Aged Humans in Vivo
Ultrahigh-resolution microstructural diffusion tensor imaging reveals perforant path degradation in aged humans in vivo Michael A. Yassaa,b, L. Tugan Muftulerc,d, and Craig E. L. Starka,b,1 aCenter for Neurobiology of Learning and Memory, bDepartment of Neurobiology and Behavior, cDepartment of Radiological Sciences, and dCenter for Functional Onco-Imaging, University of California, Irvine, CA 92697 Edited* by Larry R. Squire, Veterans Affairs Medical Center, San Diego, CA, and approved May 19, 2010 (received for review February 20, 2010) The perforant path (PP) undergoes synaptic changes in the course of attempted to investigate the PP in humans in vivo using DTI in aging and dementia. Previous studies attempting to assess the patients with mild cognitive impairment (MCI) or AD. Two integrity of the PP in humans using diffusion tensor imaging (DTI) studies reported changes in the PP region in patients with MCI. were limited by low resolution and the inability to identify PP fibers One study reported reduced intervoxel coherence (i.e., the degree specifically. Here we present an application of DTI at ultrahigh sub- of similarity of adjacent voxel orientation) (16), whereas another millimeter resolution that has allowed us to successfully identify reported an increase in mean diffusivity (a measure of isotropic diffusion signals unique to the PP and compare the intensity of these diffusion, which increases with tissue degradation) (17). De- signals in a sample of young adults and older adults. We report direct creased fractional anisotropy (FA; a measure of the anisotropy of fi evidence of age-related PP degradation in humans in vivo. We nd diffusion) in parahippocampal white matter has also been shown no evidence of such loss in a control pathway, the alveus, suggesting fi fi in studies of patients with AD (18). -
Frequency-Tuned Distribution of Inhibition in the Dentate Gyrus
The Journal of Neuroscience, September 22, 2010 • 30(38):12597–12607 • 12597 Cellular/Molecular Frequency-Tuned Distribution of Inhibition in the Dentate Gyrus Laura A. Ewell and Mathew V. Jones Department of Physiology, University of Wisconsin, Madison, Wisconsin 53706 Granule cells (GCs) of the dentate gyrus use sparse encoding to perform redundancy reduction, pattern separation, and novelty detection. One likely candidate mechanism to enforce low spiking activity is feedforward inhibition, in which the cortical excitatory drive from the perforant path (PP) recruits GABAergic interneurons that then inhibit GCs. Little is known, however, about how PP drive is balanced between GCs versus inhibitory neurons. In simultaneous recordings of GCs and fast-spiking (FS) interneurons from C57BL/6 mice, we find that focal PP stimulation preferentially recruits spiking in FS interneurons over GCs, because GCs require a larger excitatory synaptic current density to reach spike threshold. Blocking inhibition reversed this relationship, revealing a stronger intrinsic coupling between the PP and GCs versus FS interneurons and showing that inhibition can sparsify the output of the dentate gyrus by tightly regulating GC spike probability. Moreover, this regulation is dynamic, because the spiking profile of FS interneurons was frequency tuned, displaying bursting behavior in response to PP stimulation near theta rhythm frequency (ϳ10 Hz). The later spikes in the bursts were part of the feedback inhibitory pathway because they were driven by late EPSCs, were blocked by an inhibitor of synaptic output from GCs, and shared the same frequency dependence as GC spiking. Therefore, the temporal content of signals arriving via the PP determines whether a FS interneuron participates in only feedforward (one spike) or both feedforward and feedback (burst) inhibition. -
Hippocampal Subfield Volumes Are Uniquely Affected in PTSD and Depression
bioRxiv preprint doi: https://doi.org/10.1101/739094; this version posted August 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Hippocampal subfields in PTSD and depression Hippocampal subfield volumes are uniquely affected in PTSD and depression: International analysis of 31 cohorts from the PGC-ENIGMA PTSD Working Group Lauren E. Salminen1, Philipp G. Sämann2, Yuanchao Zheng3, Emily L. Dennis1,4–6, Emily K. Clarke-Rubright7,8, Neda Jahanshad1, Juan E. Iglesias9–11, Christopher D. Whelan12,13, Steven E. Bruce14, Jasmeet P. Hayes15, Soraya Seedat16, Christopher L. Averill17, Lee A. Baugh18–20, Jessica Bomyea21,22, Joanna Bright1, Chanellé J. Buckle16, Kyle Choi23,24, Nicholas D. Davenport25,26, Richard J. Davidson27–29, Maria Densmore30,31, Seth G. Disner25,26, Stefan du Plessis16, Jeremy A. Elman22,32, Negar Fani33, Gina L. Forster18,19,34, Carol E. Franz22,32, Jessie L. Frijling35, Atilla Gonenc36–38, Staci A. Gruber36–38, Daniel W. Grupe27, Jeffrey P. Guenette39, Courtney C. Haswell7,8, David Hofmann40, Michael Hollifield41, Babok Hosseini42, Anna R. Hudson43, Jonathan Ipser44, Tanja Jovanovic45, Amy Kennedy-Krage42, Mitzy Kennis46,47, Anthony King48, Philipp Kinzel49, Saskia B. J. Koch35,50, Inga Koerte4, Sheri M. Koopowitz44, Mayuresh S. Korgaonkar51, William S. Kremen21,22,32, John Krystal17,52, Lauren A. M. Lebois37,53, Ifat Levy17,54, Michael J. Lyons55, Vincent A. Magnotta56, Antje Manthey57, Soichiro Nakahara58,59, Laura Nawijn35,60, Richard W. J. -
Slicer 3 Tutorial the SPL-PNL Brain Atlas
Slicer 3 Tutorial The SPL-PNL Brain Atlas Ion-Florin Talos, M.D. Surgical Planning Laboratory Brigham and Women’s Hospital -1- http://www.slicer.org Acknowledgments NIH P41RR013218 (Neuroimage Analysis Center) NIH U54EB005149 (NA-MIC) Surgical Planning Laboratory Brigham and Women’s Hospital -2- http://www.slicer.org Disclaimer It is the responsibility of the user of 3DSlicer to comply with both the terms of the license and with the applicable laws, regulations and rules. Surgical Planning Laboratory Brigham and Women’s Hospital -3- http://www.slicer.org Material • Slicer 3 http://www.slicer.org/pages/Special:Slicer_Downloads/Release Atlas data set http://wiki.na-mic.org/Wiki/index.php/Slicer:Workshops:User_Training_101 • MRI • Labels • 3D-models Surgical Planning Laboratory Brigham and Women’s Hospital -4- http://www.slicer.org Learning Objectives • Loading the atlas data • Creating and displaying customized 3D-views of neuroanatomy Surgical Planning Laboratory Brigham and Women’s Hospital -5- http://www.slicer.org Prerequisites • Slicer Training Slicer 3 Training 1: Loading and Viewing Data http://www.na-mic.org/Wiki/index.php/Slicer:Workshops:User_Training_101 Surgical Planning Laboratory Brigham and Women’s Hospital -6- http://www.slicer.org Overview • Part 1: Loading the Brain Atlas Data • Part 2: Creating and Displaying Customized 3D views of neuroanatomy Surgical Planning Laboratory Brigham and Women’s Hospital -7- http://www.slicer.org Loading the Brain Atlas Data Slicer can load: • Anatomic grayscale data (CT, MRI) ……… …………………………………. -
On the Integration of Subthreshold Inputs from Perforant Path and Schaffer Collaterals in Hippocampal CA1 Pyramidal Neurons
Journal of Computational Neuroscience 14, 185–192, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. On the Integration of Subthreshold Inputs from Perforant Path and Schaffer Collaterals in Hippocampal CA1 Pyramidal Neurons MICHELE MIGLIORE Section of Neurobiology, Yale University School of Medicine, New Haven, CT, USA; Institute of Biophysics, Nat. Res. Council, Palermo, Italy [email protected] Received October 15, 2001; Revised September 6, 2002; Accepted September 6, 2002 Action Editor: E. Bard Ermentrout Abstract. Using a realistic model of a CA1 hippocampal pyramidal neuron, we make experimentally testable predictions on the roles of the non-specific cation current, Ih, and the A-type Potassium current, IA, in modulating the temporal window for the integration of the two main excitatory afferent pathways of a CA1 neuron, the Schaffer Collaterals and the Perforant Path. The model shows that the experimentally observed increase in the dendritic density of Ih and IA could have a major role in constraining the temporal integration window for these inputs, in such a way that a somatic action potential (AP) is elicited only when they are activated with a relative latency consistent with the anatomical arrangement of the hippocampal circuitry. Keywords: dendritic integration, IA, Ih, CA1, modeling Introduction these two conductances between pyramidal neurons of hippocampus and neocortex. The gKA increases with Although important details on how dendrites and their distance from the soma in CA1, whereas in neocor- active properties are involved in neural computation tical neurons it is constant (Korngreen and Sakmann, have been elucidated, the rules according to which 2000; Bekkers, 2000), and it does not seem to play the dendritic trees and, especially, ionic conductances are same role as in CA1 (Stuart and H¨ausser, 2001). -
A Computational Theory of Hippocampal Function, and Empirical Tests of the Theory Edmund T
Progress in Neurobiology 79 (2006) 1–48 www.elsevier.com/locate/pneurobio A computational theory of hippocampal function, and empirical tests of the theory Edmund T. Rolls a,*, Raymond P. Kesner b a University of Oxford, Department of Experimental Psychology, South Parks Road, Oxford OX1 3UD, United Kingdom b University of Utah, Department of Psychology, 380S 1530E Room 502, Salt Lake City, UT 84112, USA Received 23 September 2005; received in revised form 23 March 2006; accepted 28 April 2006 Abstract The main aim of the paper is to present an up-to-date computational theory of hippocampal function and the predictions it makes about the different subregions (dentate gyrus, CA3 and CA1), and to examine behavioral and electrophysiological data that address the functions of the hippocampus and particularly its subregions. Based on the computational proposal that the dentate gyrus produces sparse representations by competitive learning and via the mossy fiber pathway forces new representations on the CA3 during learning (encoding), it has been shown behaviorally that the dentate gyrus supports spatial pattern separation during learning. Based on the computational proposal that CA3–CA3 autoassociative networks are important for episodic memory, it has been shown behaviorally that the CA3 supports spatial rapid one-trial learning, learning of arbitrary associations where space is a component, pattern completion, spatial short-term memory, and sequence learning by associations formed between successive items. The concept that the CA1 recodes information from CA3 and sets up associatively learned backprojections to neocortex to allow subsequent retrieval of information to neocortex, is consistent with findings on consolidation. -
Direct Visualization of the Perforant Pathway in the Human Brain with Ex Vivo Diffusion Tensor Imaging
ORIGINAL RESEARCH ARTICLE published: 28 May 2010 HUMAN NEUROSCIENCE doi: 10.3389/fnhum.2010.00042 Direct visualization of the perforant pathway in the human brain with ex vivo diffusion tensor imaging Jean C. Augustinack1*, Karl Helmer1, Kristen E. Huber1, Sita Kakunoori1, Lilla Zöllei1,2 and Bruce Fischl1,2 1 Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA 2 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA Edited by: Ex vivo magnetic resonance imaging yields high resolution images that reveal detailed cerebral Andreas Jeromin, Banyan Biomarkers, anatomy and explicit cytoarchitecture in the cerebral cortex, subcortical structures, and white USA matter in the human brain. Our data illustrate neuroanatomical correlates of limbic circuitry with Reviewed by: Konstantinos Arfanakis, Illinois Institute high resolution images at high field. In this report, we have studied ex vivo medial temporal of Technology, USA lobe samples in high resolution structural MRI and high resolution diffusion MRI. Structural and James Gee, University of Pennsylvania, diffusion MRIs were registered to each other and to histological sections stained for myelin for USA validation of the perforant pathway. We demonstrate probability maps and fiber tracking from Christopher Kroenke, Oregon Health and Science University, USA diffusion tensor data that allows the direct visualization of the perforant pathway. Although it *Correspondence: is not possible to validate the DTI data with invasive measures, results described here provide Jean Augustinack, Athinoula A. an additional line of evidence of the perforant pathway trajectory in the human brain and that Martinos Center for Biomedical the perforant pathway may cross the hippocampal sulcus. -
Long-Term Synaptic Plasticity in Hippocampal Neurogliaform Interneurons
bioRxiv preprint doi: https://doi.org/10.1101/531822; this version posted January 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Long-term synaptic plasticity in hippocampal neurogliaform interneurons Marion S. Merciera, Vincent Magloirea, Jonathan Cornforda, Dimitri M. Kullmanna* Affiliations: aUCL Queen Square Institute of Neurology, Department of Clinical and Experimental Epilepsy, University College London, WC1N 3BG *Correspondence to: [email protected] Short title: LTP in hippocampal neurogliaform interneurons 1 bioRxiv preprint doi: https://doi.org/10.1101/531822; this version posted January 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Hippocampal interneurons located within stratum lacunosum-moleculare (SLM), which include neurogliaform (NGF) cells, mediate powerful feed-forward inhibition that can modulate spiking and plasticity in CA1 pyramidal cells. Despite evidence of long-term plasticity at excitatory inputs onto almost all other hippocampal interneuron subtypes, including stratum radiatum feed-forward interneurons, it is not known whether long-term potentiation (LTP) occurs in CA1 SLM interneurons. Here, we show that these interneurons exhibit Hebbian NMDA receptor-dependent LTP, and that Ca2+ influx through voltage-gated Ca2+ channels can also be sufficient for induction of plasticity. Furthermore, using an optogenetic dissection strategy, we find that selective stimulation of excitatory fibers from entorhinal cortex can induce LTP in SLM interneurons, whilst stimulation of thalamic afferents from the nucleus reuniens, also known to project to SLM, does not.