Neurogenesis in the Olfactory Tubercle and Islands of Calleja in the Rat
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Synaptic Organization of Claustral and Geniculate Afferents to the Visual Cortex of the Cat
The Journal of Neuroscience December 1986, 6(12): 3564-3575 Synaptic Organization of Claustral and Geniculate Afferents to the Visual Cortex of the Cat Simon LeVay Robert Bosch Vision Research Center, Salk Institute for Biological Studies, San Diego, California 92138 Claustral and geniculate afferents to area 17 were labeled by sponses of some cortical neurons, previously called “hypercom- anterograde axonal transport of peroxidase-conjugated wheat- plex cells” by Hubel and Wiesel (1965), are suppressed as the germ agglutinin, and examined in the electron microscope. A length of the stimulating slit of light is extended beyond some peroxidase reaction protocol that led to labeling in the form of optimal value. Interestingly, neurons in the visual claustrum minute holes in the EM sections was used. Both types of affer- behave in a complementary fashion: Their responses to an ori- ents formed type 1 (presumed excitatory) synapses exclusively. ented stimulus increase monotonically with stimulus length, In agreement with previous reports the great majority of genic- sometimes showing length summation up to 40” or more-a ulate afferents to layers 4 and 6 contacted dendritic spines. The sizable portion of the animal’s entire field of view (Sherk and claustral afferents to layers 1 and 6 also predominantly con- LeVay, 198 1). tacted spines. In layer 4, however, claustral afferents contacted These observations suggest that claustral neurons contribute spines and dendritic shafts about equally. The results suggest a to end-stopping by exerting a length-dependent inhibition on substantial Claus&al input to smooth-dendrite cells in layer 4, some neurons in the visual cortex. -
Amygdaloid Projections to the Ventral Striatum in Mice: Direct and Indirect Chemosensory Inputs to the Brain Reward System
ORIGINAL RESEARCH ARTICLE published: 22 August 2011 NEUROANATOMY doi: 10.3389/fnana.2011.00054 Amygdaloid projections to the ventral striatum in mice: direct and indirect chemosensory inputs to the brain reward system Amparo Novejarque1†, Nicolás Gutiérrez-Castellanos2†, Enrique Lanuza2* and Fernando Martínez-García1* 1 Departament de Biologia Funcional i Antropologia Física, Facultat de Ciències Biològiques, Universitat de València, València, Spain 2 Departament de Biologia Cel•lular, Facultat de Ciències Biològiques, Universitat de València, València, Spain Edited by: Rodents constitute good models for studying the neural basis of sociosexual behavior. Agustín González, Universidad Recent findings in mice have revealed the molecular identity of the some pheromonal Complutense de Madrid, Spain molecules triggering intersexual attraction. However, the neural pathways mediating this Reviewed by: Daniel W. Wesson, Case Western basic sociosexual behavior remain elusive. Since previous work indicates that the dopamin- Reserve University, USA ergic tegmento-striatal pathway is not involved in pheromone reward, the present report James L. Goodson, Indiana explores alternative pathways linking the vomeronasal system with the tegmento-striatal University, USA system (the limbic basal ganglia) by means of tract-tracing experiments studying direct *Correspondence: and indirect projections from the chemosensory amygdala to the ventral striato-pallidum. Enrique Lanuza, Departament de Biologia Cel•lular, Facultat de Amygdaloid projections to the nucleus accumbens, olfactory tubercle, and adjoining struc- Ciències Biològiques, Universitat de tures are studied by analyzing the retrograde transport in the amygdala from dextran València, C/Dr. Moliner, 50 ES-46100 amine and fluorogold injections in the ventral striatum, as well as the anterograde labeling Burjassot, València, Spain. found in the ventral striato-pallidum after dextran amine injections in the amygdala. -
Gene Expression of Prohormone and Proprotein Convertases in the Rat CNS: a Comparative in Situ Hybridization Analysis
The Journal of Neuroscience, March 1993. 73(3): 1258-1279 Gene Expression of Prohormone and Proprotein Convertases in the Rat CNS: A Comparative in situ Hybridization Analysis Martin K.-H. Schafer,i-a Robert Day,* William E. Cullinan,’ Michel Chri?tien,3 Nabil G. Seidah,* and Stanley J. Watson’ ‘Mental Health Research Institute, University of Michigan, Ann Arbor, Michigan 48109-0720 and J. A. DeSeve Laboratory of *Biochemical and 3Molecular Neuroendocrinology, Clinical Research Institute of Montreal, Montreal, Quebec, Canada H2W lR7 Posttranslational processing of proproteins and prohor- The participation of neuropeptides in the modulation of a va- mones is an essential step in the formation of bioactive riety of CNS functions is well established. Many neuropeptides peptides, which is of particular importance in the nervous are synthesized as inactive precursor proteins, which undergo system. Following a long search for the enzymes responsible an enzymatic cascade of posttranslational processing and mod- for protein precursor cleavage, a family of Kexin/subtilisin- ification events during their intracellular transport before the like convertases known as PCl, PC2, and furin have recently final bioactive products are secreted and act at either pre- or been characterized in mammalian species. Their presence postsynaptic receptors. Initial endoproteolytic cleavage occurs in endocrine and neuroendocrine tissues has been dem- C-terminal to pairs of basic amino acids such as lysine-arginine onstrated. This study examines the mRNA distribution of (Docherty and Steiner, 1982) and is followed by the removal these convertases in the rat CNS and compares their ex- of the basic residues by exopeptidases. Further modifications pression with the previously characterized processing en- can occur in the form of N-terminal acetylation or C-terminal zymes carboxypeptidase E (CPE) and peptidylglycine a-am- amidation, which is essential for the bioactivity of many neu- idating monooxygenase (PAM) using in situ hybridization ropeptides. -
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. -
Imaging of the Confused Patient: Toxic Metabolic Disorders Dara G
Imaging of the Confused Patient: Toxic Metabolic Disorders Dara G. Jamieson, M.D. Weill Cornell Medicine, New York, NY The patient who presents with either acute or subacute confusion, in the absence of a clearly defined speech disorder and focality on neurological examination that would indicate an underlying mass lesion, needs to be evaluated for a multitude of neurological conditions. Many of the conditions that produce the recent onset of alteration in mental status, that ranges from mild confusion to florid delirium, may be due to infectious or inflammatory conditions that warrant acute intervention such as antimicrobial drugs, steroids or plasma exchange. However, some patients with recent onset of confusion have an underlying toxic-metabolic disorders indicating a specific diagnosis with need for appropriate treatment. The clinical presentations of some patients may indicate the diagnosis (e.g. hypoglycemia, chronic alcoholism) while the imaging patterns must be recognized to make the diagnosis in other patients. Toxic-metabolic disorders constitute a group of diseases and syndromes with diverse causes and clinical presentations. Many toxic-metabolic disorders have no specific neuroimaging correlates, either at early clinical stages or when florid symptoms develop. However, some toxic-metabolic disorders have characteristic abnormalities on neuroimaging, as certain areas of the central nervous system appear particularly vulnerable to specific toxins and metabolic perturbations. Areas of particular vulnerability in the brain include: 1) areas of high-oxygen demand (e.g. basal ganglia, cerebellum, hippocampus), 2) the cerebral white matter and 3) the mid-brain. Brain areas of high-oxygen demand are particularly vulnerable to toxins that interfere with cellular respiratory metabolism. -
Olfactory Maps, Circuits and Computations
Available online at www.sciencedirect.com ScienceDirect Olfactory maps, circuits and computations Andrew J Giessel and Sandeep Robert Datta Sensory information in the visual, auditory and somatosensory between local positional features to extract information systems is organized topographically, with key sensory features like object identity, depth and motion [4–6]. Unlike the ordered in space across neural sheets. Despite the existence of a small number of continuous sensory parameters that spatially stereotyped map of odor identity within the olfactory characterize vision, audition and touch (such as position, bulb, it is unclear whether the higher olfactory cortex uses frequency and amplitude), olfactory parameter space is topography to organize information about smells. Here, we poorly defined and highly multidimensional [7]. For review recent work on the anatomy, microcircuitry and example, any given monomolecular odorant can be neuromodulation of two higher-order olfactory areas: the described in terms of its functional groups, molecular piriform cortex and the olfactory tubercle. The piriform is an weight, chain length, bond substitution, resonance fre- archicortical region with an extensive local associational network quency or any number of additional chemical descrip- that constructs representations of odor identity. The olfactory tors. Furthermore, olfactory space is inherently tubercle is an extension of the ventral striatum that may use discrete — not only are individual odorants structurally reward-based learning rules to encode odor valence. We argue unique but many of the molecular descriptors typically that in contrast to brain circuits for other sensory modalities, both used for individual odorants (such as functional group or the piriform and the olfactory tubercle largely discard any bond substitution) cannot be mapped continuously in topography present in the bulb and instead use distributive any scheme for chemical space. -
Rhesus Monkey Brain Atlas Subcortical Gray Structures
Rhesus Monkey Brain Atlas: Subcortical Gray Structures Manual Tracing for Hippocampus, Amygdala, Caudate, and Putamen Overview of Tracing Guidelines A) Tracing is done in a combination of the three orthogonal planes, as specified in the detailed methods that follow. B) Each region of interest was originally defined in the right hemisphere. The labels were then reflected onto the left hemisphere and all borders checked and adjusted manually when necessary. C) For the initial parcellation, the user used the “paint over function” of IRIS/SNAP on the T1 template of the atlas. I. Hippocampus Major Boundaries Superior boundary is the lateral ventricle/temporal horn in the majority of slices. At its most lateral extent (subiculum) the superior boundary is white matter. The inferior boundary is white matter. The anterior boundary is the lateral ventricle/temporal horn and the amygdala; the posterior boundary is lateral ventricle or white matter. The medial boundary is CSF at the center of the brain in all but the most posterior slices (where the medial boundary is white matter). The lateral boundary is white matter. The hippocampal trace includes dentate gyrus, the CA3 through CA1 regions of the hippocamopus, subiculum, parasubiculum, and presubiculum. Tracing A) Tracing is done primarily in the sagittal plane, working lateral to medial a. Locate the most lateral extent of the subiculum, which is bounded on all sides by white matter, and trace. b. As you page medially, tracing the hippocampus in each slice, the superior, anterior, and posterior boundaries of the hippocampus become the lateral ventricle/temporal horn. c. Even further medially, the anterior boundary becomes amygdala and the posterior boundary white matter. -
Amygdala Functional Connectivity, HPA Axis Genetic Variation, and Life Stress in Children and Relations to Anxiety and Emotion Regulation
Journal of Abnormal Psychology © 2015 American Psychological Association 2015, Vol. 124, No. 4, 817–833 0021-843X/15/$12.00 http://dx.doi.org/10.1037/abn0000094 Amygdala Functional Connectivity, HPA Axis Genetic Variation, and Life Stress in Children and Relations to Anxiety and Emotion Regulation David Pagliaccio, Joan L. Luby, Ryan Bogdan, Arpana Agrawal, Michael S. Gaffrey, Andrew C. Belden, Kelly N. Botteron, Michael P. Harms, and Deanna M. Barch Washington University in St. Louis Internalizing pathology is related to alterations in amygdala resting state functional connectivity, potentially implicating altered emotional reactivity and/or emotion regulation in the etiological pathway. Importantly, there is accumulating evidence that stress exposure and genetic vulnerability impact amygdala structure/function and risk for internalizing pathology. The present study examined whether early life stress and genetic profile scores (10 single nucleotide polymorphisms within 4 hypothalamic- pituitary-adrenal axis genes: CRHR1, NR3C2, NR3C1, and FKBP5) predicted individual differences in amygdala functional connectivity in school-age children (9- to 14-year-olds; N ϭ 120). Whole-brain regression analyses indicated that increasing genetic “risk” predicted alterations in amygdala connectivity to the caudate and postcentral gyrus. Experience of more stressful and traumatic life events predicted weakened amygdala-anterior cingulate cortex connectivity. Genetic “risk” and stress exposure interacted to predict weakened connectivity between the amygdala and the inferior and middle frontal gyri, caudate, and parahippocampal gyrus in those children with the greatest genetic and environmental risk load. Furthermore, amygdala connectivity longitudinally predicted anxiety symptoms and emotion regulation skills at a later follow-up. Amygdala connectivity mediated effects of life stress on anxiety and of genetic variants on emotion regulation. -
Distribution of Dopamine D3 Receptor Expressing Neurons in the Human Forebrain: Comparison with D2 Receptor Expressing Neurons Eugenia V
Distribution of Dopamine D3 Receptor Expressing Neurons in the Human Forebrain: Comparison with D2 Receptor Expressing Neurons Eugenia V. Gurevich, Ph.D., and Jeffrey N. Joyce, Ph.D. The dopamine D2 and D3 receptors are members of the D2 important difference from the rat is that D3 receptors were subfamily that includes the D2, D3 and D4 receptor. In the virtually absent in the ventral tegmental area. D3 receptor rat, the D3 receptor exhibits a distribution restricted to and D3 mRNA positive neurons were observed in sensory, mesolimbic regions with little overlap with the D2 receptor. hormonal, and association regions such as the nucleus Receptor binding and nonisotopic in situ hybridization basalis, anteroventral, mediodorsal, and geniculate nuclei of were used to study the distribution of the D3 receptors and the thalamus, mammillary nuclei, the basolateral, neurons positive for D3 mRNA in comparison to the D2 basomedial, and cortical nuclei of the amygdala. As revealed receptor/mRNA in subcortical regions of the human brain. by simultaneous labeling for D3 and D2 mRNA, D3 mRNA D2 binding sites were detected in all brain areas studied, was often expressed in D2 mRNA positive neurons. with the highest concentration found in the striatum Neurons that solely expressed D2 mRNA were numerous followed by the nucleus accumbens, external segment of the and regionally widespread, whereas only occasional D3- globus pallidus, substantia nigra and ventral tegmental positive-D2-negative cells were observed. The regions of area, medial preoptic area and tuberomammillary nucleus relatively higher expression of the D3 receptor and its of the hypothalamus. In most areas the presence of D2 mRNA appeared linked through functional circuits, but receptor sites coincided with the presence of neurons co-expression of D2 and D3 mRNA suggests a functional positive for its mRNA. -
Characterization of Basal Forebrain Glutamate Neurons Suggests a Role in Control of Arousal and Avoidance Behavior
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.17.157479; this version posted June 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. Title: Characterization of basal forebrain glutamate neurons suggests a role in control of arousal and avoidance behavior Authors: James T. McKenna1, Chun Yang1, Thomas Bellio2, Marissa B. Anderson-Chernishof1, Mackenzie C. Gamble2, Abigail Hulverson2, John G. McCoy2, Stuart Winston1, James M. McNally1, Radhika Basheer1 and Ritchie E. Brown1 ORCIDs: James McKenna: 0000-0002-9710-3553 Chun Yang: 0000-0002-1979-0335 Radhika Basheer: 0000-0002-4052-6897 Ritchie Brown: 0000-0002-7164-4132 Institutional Affiliations: 1 Laboratory of Neuroscience, VA Boston Healthcare System and Harvard Medical School, Department of Psychiatry, 1400 VFW Parkway, West Roxbury, MA, 02132, USA. 2 Stonehill College, Easton, MA, 02357, USA. Running head: Basal Forebrain Glutamatergic Neurons Key words: calretinin, calbindin, parvalbumin, GAD67-GFP knock-in mice, nucleus basalis, ventral pallidum Corresponding author: Ritchie E. Brown, Dr. Rer. Nat., Address: Dept. of Psychiatry, VA Boston Healthcare System & Harvard Medical School, VA Medical Center, West Roxbury, 1400 VFW Parkway, MA, 02132, USA. Email: [email protected] Declarations: Funding: This work was supported by United States Veterans Administration Biomedical Laboratory Research and Development Service Merit Awards I01 BX004673, BX001356, I01 BX001404, I01 BX002774, I01 BX004500 and United States National Institute of Health support from NINDS R21 NS093000, NIMH R01 MH039683, NHLBI HL095491, R03- MH107650 and by SURE fellowships from Stonehill College. -
The Claustrum: Three-Dimensional Reconstruction, Photorealistic Imaging, and Stereotactic Approach
Folia Morphol. Vol. 70, No. 4, pp. 228–234 Copyright © 2011 Via Medica O R I G I N A L A R T I C L E ISSN 0015–5659 www.fm.viamedica.pl The claustrum: three-dimensional reconstruction, photorealistic imaging, and stereotactic approach S. Kapakin Department of Anatomy, Faculty of Medicine, Atatürk University, Erzurum, Turkey [Received 7 July 2011; Accepted 25 September 2011] The purpose of this study was to reveal the computer-aided three-dimensional (3D) appearance, the dimensions, and neighbourly relations of the claustrum and make a stereotactic approach to it by using serial sections taken from the brain of a human cadaver. The Snake technique was used to carry out 3D reconstructions of the claustra and surrounding structures. The photorealistic imaging and stereo- tactic approach were rendered by using the Advanced Render Module in Cinema 4D software. The claustrum takes the form of the concavity of the insular cortex and the convexity of the putamen. The inferior border of the claustrum is at about the same level as the bottom edge of the insular cortex and the putamen, but the superior border of the claustrum is at a lower level than the upper edge of the insular cortex and the putamen. The volume of the right claustrum, in the dimen- sions of 35.5710 mm ¥ 1.0912 mm ¥ 16.0000 mm, was 828.8346 mm3, and the volume of the left claustrum, in the dimensions of 32.9558 mm ¥ 0.8321 mm ¥ ¥ 19.0000 mm, was 705.8160 mm3. The surface areas of the right and left claustra were calculated to be 1551.149697 mm2 and 1439.156450 mm2 by using Surf- driver software. -
Basal Forebrain Volume, but Not Hippocampal Volume, Is a Predictor of Global Cognitive Decline in Patients with Alzheimer’S Disease
ORIGINAL RESEARCH published: 14 August 2018 doi: 10.3389/fneur.2018.00642 Basal Forebrain Volume, but Not Hippocampal Volume, Is a Predictor of Global Cognitive Decline in Patients With Alzheimer’s Disease Edited by: Treated With Cholinesterase Lars Ersland, Haukeland University Hospital, Inhibitors Norway Reviewed by: Stefan J. Teipel 1,2*, Enrica Cavedo 3,4,5,6,7, Harald Hampel 3,4,5,6 and Michel J. Grothe 1 for Elizabeth J. Coulson, the Alzheimer’s Disease Neuroimaging Initiative† and Alzheimer Precision Medicine The University of Queensland, Initiative (APMI) Australia Karsten Specht, 1 German Center for Neurodegenerative Diseases-Rostock/Greifswald, Rostock, Germany, 2 Department of Psychosomatic University of Bergen, Norway Medicine, University of Rostock, Rostock, Germany, 3 AXA Research Fund and Sorbonne University Chair, Paris, France, *Correspondence: 4 Sorbonne University, GRC n◦ 21, Alzheimer Precision Medicine, AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l’Hôpital, Stefan J. Teipel Paris, France, 5 Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’Hôpital, Paris, France, [email protected] 6 Department of Neurology, Institute of Memory and Alzheimer’s Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l’Hôpital, Paris, France, 7 IRCCS Istituto Centro San Giovanni di Dio-Fatebenefratelli, Brescia, Italy †Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Background: Predicting the progression of cognitive decline in Alzheimer’s disease Initiative (ADNI) database (AD) is important for treatment selection and patient counseling. Structural MRI markers (adni.loni.usc.edu/). As such, the investigators within the ADNI such as hippocampus or basal forebrain volumes might represent useful instruments contributed to the design and for the prediction of cognitive decline.