Afferents to the Central Nucleus of the Amygdala And
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The Human Thalamus Is an Integrative Hub for Functional Brain Networks
5594 • The Journal of Neuroscience, June 7, 2017 • 37(23):5594–5607 Behavioral/Cognitive The Human Thalamus Is an Integrative Hub for Functional Brain Networks X Kai Hwang, Maxwell A. Bertolero, XWilliam B. Liu, and XMark D’Esposito Helen Wills Neuroscience Institute and Department of Psychology, University of California, Berkeley, Berkeley, California 94720 The thalamus is globally connected with distributed cortical regions, yet the functional significance of this extensive thalamocortical connectivityremainslargelyunknown.Byperforminggraph-theoreticanalysesonthalamocorticalfunctionalconnectivitydatacollected from human participants, we found that most thalamic subdivisions display network properties that are capable of integrating multi- modal information across diverse cortical functional networks. From a meta-analysis of a large dataset of functional brain-imaging experiments, we further found that the thalamus is involved in multiple cognitive functions. Finally, we found that focal thalamic lesions in humans have widespread distal effects, disrupting the modular organization of cortical functional networks. This converging evidence suggests that the human thalamus is a critical hub region that could integrate diverse information being processed throughout the cerebral cortex as well as maintain the modular structure of cortical functional networks. Key words: brain networks; diaschisis; functional connectivity; graph theory; thalamus Significance Statement The thalamus is traditionally viewed as a passive relay station of information from sensory organs or subcortical structures to the cortex. However, the thalamus has extensive connections with the entire cerebral cortex, which can also serve to integrate infor- mation processing between cortical regions. In this study, we demonstrate that multiple thalamic subdivisions display network properties that are capable of integrating information across multiple functional brain networks. Moreover, the thalamus is engaged by tasks requiring multiple cognitive functions. -
Higher-Order Thalamic Relays Burst More Than First-Order Relays
Higher-order thalamic relays burst more than first-order relays E. J. Ramcharan*, J. W. Gnadt†, and S. M. Sherman‡§ *Center for Complex Systems and Brain Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431; †Department of Neurobiology, State University of New York, Stony Brook, NY 11794-5230; and ‡Department of Neurobiology, Pharmacology, and Physiology, University of Chicago, MC 0926, 316 Abbott, 947 East 58th Street, Chicago, IL 60637 Edited by Robert H. Wurtz, National Institutes of Health, Bethesda, MD, and approved July 11, 2005 (received for review April 6, 2005) There is a strong correlation between the behavior of an animal trasted with the higher-order relays, such as the pulvinar for and the firing mode (burst or tonic) of thalamic relay neurons. vision, the magnocellular (or ‘‘nonlemniscal’’) portion of the Certain differences between first- and higher-order thalamic relays medial geniculate nucleus for hearing, and the posterior medial (which relay peripheral information to the cortex versus informa- nucleus for somesthesis, which are thought to serve as a link in tion from one cortical area to another, respectively) suggest that cortico-thalamo-cortical pathways that continue to process these more bursting might occur in the higher-order relays. Accordingly, information streams. we recorded bursting behavior in single cells from awake, behav- We thought that it would be useful to extend the observations ing rhesus monkeys in first-order (the lateral geniculate nucleus, of bursting to higher-order thalamic relays in the behaving the ventral posterior nucleus, and the ventral portion of the medial monkey for the following reasons. -
MRI Atlas of the Human Deep Brain Jean-Jacques Lemaire
MRI Atlas of the Human Deep Brain Jean-Jacques Lemaire To cite this version: Jean-Jacques Lemaire. MRI Atlas of the Human Deep Brain. 2019. hal-02116633 HAL Id: hal-02116633 https://hal.uca.fr/hal-02116633 Preprint submitted on 1 May 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License MRI ATLAS of the HUMAN DEEP BRAIN Jean-Jacques Lemaire, MD, PhD, neurosurgeon, University Hospital of Clermont-Ferrand, Université Clermont Auvergne, CNRS, SIGMA, France This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Terminologia Foundational Model Terminologia MRI Deep Brain Atlas NeuroNames (ID) neuroanatomica usages, classical and french terminologies of Anatomy (ID) Anatomica 1998 (ID) 2017 http://fipat.library.dal.ca In -
Identification of Discrete Functional Subregions of the Human
Identification of discrete functional subregions of the human periaqueductal gray Ajay B. Satputea,1, Tor D. Wagerb, Julien Cohen-Adadc, Marta Bianciardid, Ji-Kyung Choid, Jason T. Buhlee, Lawrence L. Waldd, and Lisa Feldman Barretta,f aDepartment of Psychology, Northeastern University, Boston, MA, 02115; bDepartment of Psychology and Neuroscience, University of Colorado at Boulder, Boulder, CO 80309; cDepartment of Electrical Engineering, École Polytechnique de Montréal, Montreal, QC, Canada H3T 1J4; Departments of dRadiology and fPsychiatry, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129; and eDepartment of Psychology, Columbia University, New York, NY, 10027 Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved September 9, 2013 (received for review March 30, 2013) The midbrain periaqueductal gray (PAG) region is organized into Unfortunately however, standard fMRI is fundamentally lim- distinct subregions that coordinate survival-related responses ited in its resolution, making it uncertain which fMRI results lie during threat and stress [Bandler R, Keay KA, Floyd N, Price J in the PAG and which lie in other nearby nuclei. The overarching (2000) Brain Res 53 (1):95–104]. To examine PAG function in humans, issue is size and shape. The PAG is small and is shaped like a researchers have relied primarily on functional MRI (fMRI), but tech- hollow cylinder with an external diameter of ∼6 mm, a height of nological and methodological limitations have prevented research- ∼10 mm, and an internal diameter of ∼2–3 mm. The cerebral ers from localizing responses to different PAG subregions. -
The Role of Glutamatergic and Dopaminergic Neurons in the Periaqueductal Gray/Dorsal Raphe: Separating Analgesia and Anxiety
The Role of Glutamatergic and Dopaminergic Neurons in the Periaqueductal Gray/Dorsal Raphe: Separating Analgesia and Anxiety The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Taylor, Norman E. "The Role of Glutamatergic and Dopaminergic Neurons in the Periaqueductal Gray/Dorsal Raphe: Separating Analgesia and Anxiety." eNeuro 6, 1 (January 2019): e0018-18.2019 © 2019 Taylor et al As Published http://dx.doi.org/10.1523/eneuro.0018-18.2019 Publisher Society for Neuroscience Version Final published version Citable link https://hdl.handle.net/1721.1/126481 Terms of Use Creative Commons Attribution 4.0 International license Detailed Terms https://creativecommons.org/licenses/by/4.0/ Confirmation Cognition and Behavior The Role of Glutamatergic and Dopaminergic Neurons in the Periaqueductal Gray/Dorsal Raphe: Separating Analgesia and Anxiety Norman E. Taylor,1 JunZhu Pei,2 Jie Zhang,1 Ksenia Y. Vlasov,2 Trevor Davis,3 Emma Taylor,4 Feng-Ju Weng,2 Christa J. Van Dort,5 Ken Solt,5 and Emery N. Brown5,6 https://doi.org/10.1523/ENEURO.0018-18.2019 1University of Utah, Salt Lake City 84112, UT, 2Massachusetts Institute of Technology, Cambridge 02139, MA, 3Brigham Young University, Provo 84602, UT, 4University of Massachusetts, Lowell 01854, MA, 5Massachusetts General Hospital, Boston 02114, MA, and 6Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139 Abstract The periaqueductal gray (PAG) is a significant modulator of both analgesic and fear behaviors in both humans and rodents, but the underlying circuitry responsible for these two phenotypes is incompletely understood. -
Neuronal and Glial Factors Contributing to Sex Differences in Opioid Modulation of Pain
www.nature.com/npp NEUROPSYCHOPHARMACOLOGY REVIEWS Neuronal and glial factors contributing to sex differences in opioid modulation of pain Dayna L. Averitt 1, Lori N. Eidson2, Hillary H. Doyle3 and Anne Z. Murphy3 Morphine remains one of the most widely prescribed opioids for alleviation of persistent and/or severe pain; however, multiple preclinical and clinical studies report that morphine is less efficacious in females compared to males. Morphine primarily binds to the mu opioid receptor, a prototypical G-protein coupled receptor densely localized in the midbrain periaqueductal gray. Anatomical and physiological studies conducted in the 1960s identified the periaqueductal gray, and its descending projections to the rostral ventromedial medulla and spinal cord, as an essential descending inhibitory circuit mediating opioid-based analgesia. Remarkably, the majority of studies published over the following 30 years were conducted in males with the implicit assumption that the anatomical and physiological characteristics of this descending inhibitory circuit were comparable in females; not surprisingly, this is not the case. Several factors have since been identified as contributing to the dimorphic effects of opioids, including sex differences in the neuroanatomical and neurophysiological characteristics of the descending inhibitory circuit and its modulation by gonadal steroids. Recent data also implicate sex differences in opioid metabolism and neuroimmune signaling as additional contributing factors. Here we cohesively present these lines -
Central Respiratory Circuits That Control Diaphragm Function in Cat Revealed by Transneuronal Tracing
CENTRAL RESPIRATORY CIRCUITS THAT CONTROL DIAPHRAGM FUNCTION IN CAT REVEALED BY TRANSNEURONAL TRACING by James H. Lois B. S. in Neuroscience, University of Pittsburgh, 2006 Submitted to the Graduate Faculty of Arts and Sciences in partial fulfillment of the requirements for the degree of M. S. in Neuroscience University of Pittsburgh 2008 UNIVERSITY OF PITTSBURGH ARTS AND SCIENCES This thesis was presented by James H. Lois It was defended on July 30, 2008 and approved by J. Patrick Card, PhD Linda Rinaman, PhD Alan Sved, PhD Thesis Advisor: J. Patrick Card, PhD ii Copyright © by James H. Lois 2008 iii CENTRAL RESPIRATORY CIRCUITS THAT CONTROL DIAPHRAGM FUNCTION IN CAT REVEALED BY TRANSNEURONAL TRACING James H. Lois, M. S. University of Pittsburgh, 2008 Previous transneuronal tracing studies in the rat and ferret have identified regions throughout the spinal cord, medulla, and pons that are synaptically linked to the diaphragm muscle; however, the extended circuits that innervate the diaphragm of the cat have not been well defined. The N2C strain of rabies virus has been shown to be an effective transneuronal retrograde tracer of the polysynaptic circuits innervating a single muscle. Rabies was injected throughout the left costal region of the diaphragm in the cat to identify brain regions throughout the neuraxis that influence diaphragm function. Infected neurons were localized throughout the cervical and thoracic spinal cord with a concentration of labeling in the vicinity of the phrenic nucleus where diaphragm motoneurons are known to reside. Infection was also found throughout the medulla and pons particularly around the regions of the dorsal and ventral respiratory groups and the medial and lateral reticular formations but also in several other areas including the caudal raphe nuclei, parabrachial nuclear complex, vestibular nuclei, ventral paratrigeminal area, lateral reticular nucleus, and retrotrapezoid nucleus. -
Basic Organization of Projections from the Oval and Fusiform Nuclei of the Bed Nuclei of the Stria Terminalis in Adult Rat Brain
THE JOURNAL OF COMPARATIVE NEUROLOGY 436:430–455 (2001) Basic Organization of Projections From the Oval and Fusiform Nuclei of the Bed Nuclei of the Stria Terminalis in Adult Rat Brain HONG-WEI DONG,1,2 GORICA D. PETROVICH,3 ALAN G. WATTS,1 AND LARRY W. SWANSON1* 1Neuroscience Program and Department of Biological Sciences, University of Southern California, Los Angeles, California 90089-2520 2Institute of Neuroscience, The Fourth Military Medical University, Xi’an, Shannxi 710032, China 3Department of Psychology, Johns Hopkins University, Baltimore, Maryland 21218 ABSTRACT The organization of axonal projections from the oval and fusiform nuclei of the bed nuclei of the stria terminalis (BST) was characterized with the Phaseolus vulgaris-leucoagglutinin (PHAL) anterograde tracing method in adult male rats. Within the BST, the oval nucleus (BSTov) projects very densely to the fusiform nucleus (BSTfu) and also innervates the caudal anterolateral area, anterodorsal area, rhomboid nucleus, and subcommissural zone. Outside the BST, its heaviest inputs are to the caudal substantia innominata and adjacent central amygdalar nucleus, retrorubral area, and lateral parabrachial nucleus. It generates moderate inputs to the caudal nucleus accumbens, parasubthalamic nucleus, and medial and ventrolateral divisions of the periaqueductal gray, and it sends a light input to the anterior parvicellular part of the hypothalamic paraventricular nucleus and nucleus of the solitary tract. The BSTfu displays a much more complex projection pattern. Within the BST, it densely innervates the anterodorsal area, dorsomedial nucleus, and caudal anterolateral area, and it moderately innervates the BSTov, subcommissural zone, and rhomboid nucleus. Outside the BST, the BSTfu provides dense inputs to the nucleus accumbens, caudal substantia innominata and central amygdalar nucleus, thalamic paraventricular nucleus, hypothalamic paraventricular and periventricular nuclei, hypothalamic dorsomedial nucleus, perifornical lateral hypothalamic area, and lateral tegmental nucleus. -
Brain Structure and Function Related to Headache
Review Cephalalgia 0(0) 1–26 ! International Headache Society 2018 Brain structure and function related Reprints and permissions: sagepub.co.uk/journalsPermissions.nav to headache: Brainstem structure and DOI: 10.1177/0333102418784698 function in headache journals.sagepub.com/home/cep Marta Vila-Pueyo1 , Jan Hoffmann2 , Marcela Romero-Reyes3 and Simon Akerman3 Abstract Objective: To review and discuss the literature relevant to the role of brainstem structure and function in headache. Background: Primary headache disorders, such as migraine and cluster headache, are considered disorders of the brain. As well as head-related pain, these headache disorders are also associated with other neurological symptoms, such as those related to sensory, homeostatic, autonomic, cognitive and affective processing that can all occur before, during or even after headache has ceased. Many imaging studies demonstrate activation in brainstem areas that appear specifically associated with headache disorders, especially migraine, which may be related to the mechanisms of many of these symptoms. This is further supported by preclinical studies, which demonstrate that modulation of specific brainstem nuclei alters sensory processing relevant to these symptoms, including headache, cranial autonomic responses and homeostatic mechanisms. Review focus: This review will specifically focus on the role of brainstem structures relevant to primary headaches, including medullary, pontine, and midbrain, and describe their functional role and how they relate to mechanisms -
Medial Preoptic Area Afferents to Periaqueductal Gray Medullo- Output Neurons: a Combined Fos and Tract Tracing Study
The Journal of Neuroscience, January 1, 1996, 16(1):333-344 Medial Preoptic Area Afferents to Periaqueductal Gray Medullo- Output Neurons: A Combined Fos and Tract Tracing Study Tilat A. Rimi,* Anne 2. Murphy,’ Matthew Ennis,’ Michael M. Behbehani,z and Michael T. Shipley’ ‘Department of Anatomy, University of Maryland School of Medicine, Baltimore, Maryland 21201, and *Departments of Cell Biology, Neurobiolog.v, and Anatomy and 3Molecular and Cellular Physiology, University of Cincinnati College of Medicine, Cincinnati, Ohio 45267 We have shown recently that the medial preoptic area (MPO) second series of experiments investigated whether MPO robustly innervates discrete columns along the rostrocaudal stimulation excited PAG neurons with descending projec- axis of the midbrain periaqueductal gray (PAG). However, the tions to the medulla. Retrograde labeling of PAG neurons location of PAG neurons responsive to MPO activation is not projecting to the medial and lateral regions of the rostroven- known. Anterograde tract tracing was used in combination with tral medulla (RVM) was combined with MPO-induced Fos Fos immunohistochemistry to characterize the MPO -+ PAG expression. The results showed that a substantial population pathway anatomically and ,functionally within the same animal. (3743%) of Fos-positive PAG neurons projected to the Focal electrical or chemical stimulation of MPO in anesthetized ventral medulla. This indicates that MPO stimulation en- rats induced extensive Fos expression within the PAG com- gages PAG-medullary output neurons. Taken together, these pared with sham controls. Fos-positive neurons were organized results suggest that the MPO + PAG + RVM projection as 2-3 longitudinal columns. The organization and location of constitutes a functional pathway. -
Learning & Memory
Downloaded from learnmem.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Review Unraveling the contributions of the diencephalon to recognition memory: A review John P. Aggleton,1,3 Julie R. Dumont,1 and Elizabeth Clea Warburton2 1School of Psychology, Cardiff University, Cardiff, CF10 3AT, Wales, United Kingdom; 2MRC Centre for Synaptic Plasticity, School of Physiology, University of Bristol, Bristol BS8 1TD, United Kingdom Both clinical investigations and studies with animals reveal nuclei within the diencephalon that are vital for recognition memory (the judgment of prior occurrence). This review seeks to identify these nuclei and to consider why they might be important for recognition memory. Despite the lack of clinical cases with circumscribed pathology within the diencepha- lon and apparent species differences, convergent evidence from a variety of sources implicates a subgroup of medial dien- cephalic nuclei. It is supposed that the key functional interactions of this subgroup of diencephalic nuclei are with the medial temporal lobe, the prefrontal cortex, and with cingulate regions. In addition, some of the clinical evidence most readily supports dual-process models of recognition, which assume two independent cognitive processes (recollective-based and familiarity-based) that combine to direct recognition judgments. From this array of information a “multi-effect multi- nuclei” model is proposed, in which the mammillary bodies and the anterior thalamic nuclei are of preeminent importance for recollective-based recognition. The medial dorsal thalamic nucleus is thought to contribute to familiarity-based recog- nition, but this nucleus, along with various midline and intralaminar thalamic nuclei, is also assumed to have broader, indirect effects upon both recollective-based and familiarity-based recognition. -
Brain-Implantable Biomimetic Electronics As the Next Era in Neural Prosthetics
Brain-Implantable Biomimetic Electronics as the Next Era in Neural Prosthetics THEODORE W. BERGER, MICHEL BAUDRY, ROBERTA DIAZ BRINTON, JIM-SHIH LIAW, VASILIS Z. MARMARELIS, FELLOW, IEEE, ALEX YOONDONG PARK, BING J. SHEU, FELLOW, IEEE, AND ARMAND R. TANGUAY, JR. Invited Paper An interdisciplinary multilaboratory effort to develop an im- has been developed—silicon-based multielectrode arrays that are plantable neural prosthetic that can coexist and bidirectionally “neuromorphic,” i.e., designed to conform to the region-specific communicate with living brain tissue is described. Although the final cytoarchitecture of the brain. When the “neurocomputational” and achievement of such a goal is many years in the future, it is proposed “neuromorphic” components are fully integrated, our vision is that that the path to an implantable prosthetic is now definable, allowing the resulting prosthetic, after intracranial implantation, will receive the problem to be solved in a rational, incremental manner.Outlined electrical impulses from targeted subregions of the brain, process in this report is our collective progress in developing the underlying the information using the hardware model of that brain region, and science and technology that will enable the functions of specific communicate back to the functioning brain. The proposed prosthetic brain damaged regions to be replaced by multichip modules con- microchips also have been designed with parameters that can be sisting of novel hybrid analog/digital microchips. The component optimized after implantation, allowing each prosthetic to adapt to a microchips are “neurocomputational” incorporating experimen- particular user/patient. tally based mathematical models of the nonlinear dynamic and adaptive properties of biological neurons and neural networks.