The Mammalian Midbrain and Isthmus Regions Part I1
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L4-Physiology of Motor Tracts.Pdf
: chapter 55 page 667 Objectives (1) Describe the upper and lower motor neurons. (2) Understand the pathway of Pyramidal tracts (Corticospinal & corticobulbar tracts). (3) Understand the lateral and ventral corticospinal tracts. (4) Explain functional role of corticospinal & corticobulbar tracts. (5) Describe the Extrapyramidal tracts as Rubrospinal, Vestibulospinal, Reticulospinal and Tectspinal Tracts. The name of the tract indicate its pathway, for example Corticobulbar : Terms: - cortico: cerebral cortex. Decustation: crossing. - Bulbar: brainstem. Ipsilateral : same side. *So it starts at cerebral cortex and Contralateral: opposite side. terminate at the brainstem. CNS influence the activity of skeletal muscle through two set of neurons : 1- Upper motor neurons (UMN) 2- lower motor neuron (LMN) They are neurons of motor cortex & their axons that pass to brain stem and They are Spinal motor neurons in the spinal spinal cord to activate: cord & cranial motor neurons in the brain • cranial motor neurons (in brainstem) stem which innervate muscles directly. • spinal motor neurons (in spinal cord) - These are the only neurons that innervate - Upper motor neurons (UMN) are the skeletal muscle fibers, they function as responsible for conveying impulses for the final common pathway, the final link voluntary motor activity through between the CNS and skeletal muscles. descending motor pathways that make up by the upper motor neurons. Lower motor neurons are classified based on the type of muscle fiber the innervate: There are two UMN Systems through which 1- alpha motor neurons (UMN) control (LMN): 2- gamma motor neurons 1- Pyramidal system (corticospinal tracts ). 2- Extrapyramidal system The activity of the lower motor neuron (LMN, spinal or cranial) is influenced by: 1. -
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 -
Microstimulation of the Midbrain Tegmentum Creates Learning Signals for Saccade Adaptation
The Journal of Neuroscience, April 4, 2007 • 27(14):3759–3767 • 3759 Behavioral/Systems/Cognitive Microstimulation of the Midbrain Tegmentum Creates Learning Signals for Saccade Adaptation Yoshiko Kojima, Kaoru Yoshida, and Yoshiki Iwamoto Department of Neurophysiology, Doctoral Program in Kansei Behavioral and Brain Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8574, Japan Error signals are vital to motor learning. However, we know little about pathways that transmit error signals for learning in voluntary movements. Here we show that microstimulation of the midbrain tegmentum can induce learning in saccadic eye movements in mon- keys. Weak electrical stimuli delivered ϳ200 ms after saccades in one horizontal direction produced gradual and marked changes in saccade gain. The spatial and temporal characteristics of the produced changes were similar to those of adaptation induced by real visual error. When stimulation was applied after saccades in two different directions, endpoints of these saccades gradually shifted in the same direction in two dimensions. We conclude that microstimulation created powerful learning signals that dictate the direction of adaptive shift in movement endpoints. Our findings suggest that the error signals for saccade adaptation are conveyed in a pathway that courses through the midbrain tegmentum. Key words: motor learning; electrical stimulation; midbrain; saccade; adaptation; macaque; monkey Introduction superior colliculus, a key midbrain structure that issues saccade Motor learning ensures the accuracy of the movements we exe- signals to the premotor reticular circuitry (Scudder et al., 2002). cute daily. Vital to learning is the information about the error that The colliculus also has indirect access to the cerebellum via both results from executed movements. -
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 -
(Rmtg),&Nbsp;A Gabaergic Afferent to Midbrain Dopamine Neurons
Neuron Article The Rostromedial Tegmental Nucleus (RMTg), a GABAergic Afferent to Midbrain Dopamine Neurons, Encodes Aversive Stimuli and Inhibits Motor Responses Thomas C. Jhou,1,* Howard L. Fields,2 Mark G. Baxter,3 Clifford B. Saper,4 and Peter C. Holland5 1Behavioral Neuroscience Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA 2Ernest Gallo Clinic and Research Center, University of California at San Francisco, Emeryville, CA 94608, USA 3Department of Experimental Psychology, University of Oxford, OX1 3UD Oxford, UK 4Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215, USA 5Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA *Correspondence: [email protected] DOI 10.1016/j.neuron.2009.02.001 SUMMARY vation strongly inhibits dopamine (DA) neurons (Christoph et al., 1986; Ji and Shepard, 2007), are activated by aversive Separate studies have implicated the lateral habe- stimuli and reward omission and inhibited by reward-predictive nula (LHb) or amygdala-related regions in processing cues or unexpected rewards (Matsumoto and Hikosaka, 2007, aversive stimuli, but their relationships to each other 2009; Geisler and Trimble, 2008). These ‘‘negative reward and to appetitive motivational systems are poorly prediction errors’’ are inverse to firing patterns in putative dopa- understood. We show that neurons in the recently minergic midbrain neurons (Mirenowicz and Schultz, 1994, 1996; identified GABAergic rostromedial tegmental Hollerman and Schultz, 1998; -
Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics
Published August 13, 2020 as 10.3174/ajnr.A6693 REVIEW ARTICLE Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics E.H. Middlebrooks, R.A. Domingo, T. Vivas-Buitrago, L. Okromelidze, T. Tsuboi, J.K. Wong, R.S. Eisinger, L. Almeida, M.R. Burns, A. Horn, R.J. Uitti, R.E. Wharen Jr, V.M. Holanda, and S.S. Grewal ABSTRACT SUMMARY: Deep brain stimulation is an established therapy for multiple brain disorders, with rapidly expanding potential indi- cations. Neuroimaging has advanced the field of deep brain stimulation through improvements in delineation of anatomy, and, more recently, application of brain connectomics. Older lesion-derived, localizationist theories of these conditions have evolved to newer, network-based “circuitopathies,” aided by the ability to directly assess these brain circuits in vivo through the use of advanced neuroimaging techniques, such as diffusion tractography and fMRI. In this review, we use a combination of ultra-high-field MR imaging and diffusion tractography to highlight relevant anatomy for the currently approved indications for deep brain stimulation in the United States: essential tremor, Parkinson disease, drug-resistant epilepsy, dystonia, and obsessive-compulsive disorder. We also review the literature regarding the use of fMRI and diffusion tractography in under- standing the role of deep brain stimulation in these disorders, as well as their potential use in both surgical targeting and de- vice programming. ABBREVIATIONS: AL ¼ ansa lenticularis; ALIC -
Orienting Head Movements Resulting from Electrical Microstimulation of the Brainstem Tegmentum in the Barn Owl
The Journal of Neuroscience, January 1993, 13(l): 351370 Orienting Head Movements Resulting from Electrical Microstimulation of the Brainstem Tegmentum in the Barn Owl Tom Masino and Eric I. Knudsen Department of Neurobiology, Stanford University, Stanford, California 943055401 The size and direction of orienting movements are repre- movement latency, duration, velocity, and size each dem- sented systematically as a motor map in the optic tectum of onstrated dependencies on stimulus amplitude, frequency, the barn owl (du Lac and Knudsen, 1990). The optic tectum and duration. projects to several distinct regions in the medial brainstem The data demonstrate directly that at the level of the mid- tegmentum, which in turn project to the spinal cord (Masino brain tegmentum there exists a three-dimensional Cartesian and Knudsen, 1992). This study explores the hypothesis that representation of head-orienting movements such that hor- a fundamental transformation in the neural representation izontal, vertical, and roll components of movement are en- of orienting movements takes place in the brainstem teg- coded by anatomically distinct neural circuits. The data sug- mentum. Head movements evoked by electrical microstim- gest that in the projection from the optic tectum to these ulation in the brainstem tegmentum of the alert barn owl were medial tegmental regions, the topographic code for orienting cataloged and the sites of stimulation were reconstructed movement that originates in the tectum is transformed into histologically. Movements elicited from the brainstem teg- this Cartesian code. mentum were categorized into one of six different classes: [Key words: optic tectum, superior colliculus, saccadic saccadic head rotations, head translations, facial move- head movement, brainstem tegmentum, interstitial nucleus ments, vocalizations, limb movements, and twitches. -
Motor Systems Basal Ganglia
Motor systems 409 Basal Ganglia You have just read about the different motor-related cortical areas. Premotor areas are involved in planning, while MI is involved in execution. What you don’t know is that the cortical areas involved in movement control need “help” from other brain circuits in order to smoothly orchestrate motor behaviors. One of these circuits involves a group of structures deep in the brain called the basal ganglia. While their exact motor function is still debated, the basal ganglia clearly regulate movement. Without information from the basal ganglia, the cortex is unable to properly direct motor control, and the deficits seen in Parkinson’s and Huntington’s disease and related movement disorders become apparent. Let’s start with the anatomy of the basal ganglia. The important “players” are identified in the adjacent figure. The caudate and putamen have similar functions, and we will consider them as one in this discussion. Together the caudate and putamen are called the neostriatum or simply striatum. All input to the basal ganglia circuit comes via the striatum. This input comes mainly from motor cortical areas. Notice that the caudate (L. tail) appears twice in many frontal brain sections. This is because the caudate curves around with the lateral ventricle. The head of the caudate is most anterior. It gives rise to a body whose “tail” extends with the ventricle into the temporal lobe (the “ball” at the end of the tail is the amygdala, whose limbic functions you will learn about later). Medial to the putamen is the globus pallidus (GP). -
Why a Midbrain? Evolution, Structure and Functions Notes
The changes cause "distortions" in the basic organization of the hindbrain • Variations in relative size of parts – Huge vagal lobe of the fresh-water buffalofish [Review] – Vagal and facial lobes of the catfish [Review] – Electric fish have an enormous and specialized cerebellum. [Review] • Cell migrations from the rostral hindbrain’s alar plate— from a proliferative region called the “rhombic lip”: – To cerebellum – To pre-cerebellar cell groups – especially the cells of the pons 1 Endbrain Midbrain Cerebellum Vagal Lobe Image by MIT OpenCourseWare. Buffalofish (Carpiodes tumidus) has a specialized palatal organ for filtering the water for food; it is innervated by the vagus nerve. 2 Olfactory Stalk Primitive Endbrain Midbrain Cerebellum Facial Lobe Vagal Lobe Image by MIT OpenCourseWare. The catfish has taste receptors all over its body innervated by the facial nerve (7th cranial nerve) 3 Amiurus melas (the small catfish) Image by MIT OpenCourseWare. 4 Courtesy of MIT Press. Used with permission. Schneider, G. E. Brain structure and its Origins: In the Development and in Evolution of Behavior and the Mind. MIT Press, 2014. ISBN: 9780262026734. The enlarged cerebellum of a Mormyrid fish Fig.6-1 5 Questions, chapter 10 16) What is the meaning of the term “pons”? (See the end of chapter 5.) What is a major input, and what is the major output, of the cells of the pontine gray matter? 17) What causes quantitative distortions of the basic structural layout of the hindbrain? What is the major distortion that occurs in the development of the hindbrain of humans and other primates? 18) What is the role of the “rhombic lip” – a structure seen during the development of the rostral hindbrain? 6 The "distortions" in the basic organization of the hindbrain, continued • Variations in relative size of parts √ Huge vagal lobe of the fresh-water buffalofish √ Vagal and facial lobes of the catfish √ Electric fish have an enormous and specialized cerebellum. -
Localization and Network of Coma- Causing Brainstem Lesions: Evidence for a Human Consciousness Network
Localization and Network of Coma- Causing Brainstem Lesions: Evidence for a Human Consciousness Network The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Fischer, David B. 2016. Localization and Network of Coma-Causing Brainstem Lesions: Evidence for a Human Consciousness Network. Doctoral dissertation, Harvard Medical School. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:27007725 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Abstract Focal brainstem lesions can disrupt arousal and cause coma, yet the exact location of the brainstem region critical to arousal and its associated network are unknown. First, we compare brainstem lesions between 12 patients with coma and 24 patients without coma to identify a region specific to coma-causing lesions. Second, we determine the network connectivity of this brainstem region and each individual coma- causing lesion using resting state functional connectivity MRI data acquired from 98 healthy subjects. Third, we evaluate the functional connectivity of this network in patients with disorders of consciousness (51 patients versus 21 controls). These analyses reveal a small, coma-specific region in the left pontine tegmentum, near the medial parabrachial nucleus. This brainstem region, and each individual coma-causing lesion, is functionally connected to the left agranular, anterior insula (AI), and pregenual anterior cingulate cortex (pACC). These cortical sites align poorly with previously defined functional networks but match the distribution of von Economo neurons (VENs). -
Chapter 3: Internal Anatomy of the Central Nervous System
10353-03_CH03.qxd 8/30/07 1:12 PM Page 82 3 Internal Anatomy of the Central Nervous System LEARNING OBJECTIVES Nuclear structures and fiber tracts related to various functional systems exist side by side at each level of the After studying this chapter, students should be able to: nervous system. Because disease processes in the brain • Identify the shapes of corticospinal fibers at different rarely strike only one anatomic structure or pathway, there neuraxial levels is a tendency for a series of related and unrelated clinical symptoms to emerge after a brain injury. A thorough knowl- • Recognize the ventricular cavity at various neuroaxial edge of the internal brain structures, including their shape, levels size, location, and proximity, makes it easier to understand • Recognize major internal anatomic structures of the their functional significance. In addition, the proximity of spinal cord and describe their functions nuclear structures and fiber tracts explains multiple symp- toms that may develop from a single lesion site. • Recognize important internal anatomic structures of the medulla and explain their functions • Recognize important internal anatomic structures of the ANATOMIC ORIENTATION pons and describe their functions LANDMARKS • Identify important internal anatomic structures of the midbrain and discuss their functions Two distinct anatomic landmarks used for visual orientation to the internal anatomy of the brain are the shapes of the • Recognize important internal anatomic structures of the descending corticospinal fibers and the ventricular cavity forebrain (diencephalon, basal ganglia, and limbic (Fig. 3-1). Both are present throughout the brain, although structures) and describe their functions their shape and size vary as one progresses caudally from the • Follow the continuation of major anatomic structures rostral forebrain (telencephalon) to the caudal brainstem. -
Cholinergic System and NGF Receptors: Insights from the Brain of the Short-Lived Fish Nothobranchius Furzeri
brain sciences Article Cholinergic System and NGF Receptors: Insights from the Brain of the Short-Lived Fish Nothobranchius furzeri Paolo de Girolamo 1,*, Adele Leggieri 1 , Antonio Palladino 2 , Carla Lucini 1 , Chiara Attanasio 1 and Livia D’Angelo 1 1 Department Veterinary Medicine and Animal Production, University of Naples Federico II, Naples I-80137, Italy; [email protected] (A.L.); [email protected] (C.L.); [email protected] (C.A.); [email protected] (L.D.) 2 CESMA—Centro Servizi metereologici e Tecnologici Avanzati, University of Naples Federico II, I-80126 Naples, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-081-2536099 Received: 31 May 2020; Accepted: 17 June 2020; Published: 20 June 2020 Abstract: Nerve growth factor (NGF) receptors are evolutionary conserved molecules, and in mammals are considered necessary for ensuring the survival of cholinergic neurons. The age-dependent regulation of NTRK1/NTRKA and p75/NGFR in mammalian brain results in a reduced response of the cholinergic neurons to neurotrophic factors and is thought to play a role in the pathogenesis of neurodegenerative diseases. Here, we study the age-dependent expression of NGF receptors (NTRK1/NTRKA and p75/NGFR) in the brain of the short-lived teleost fish Nothobranchius furzeri. We observed that NTRK1/NTRKA is more expressed than p75/NGFR in young and old animals, although both receptors do not show a significant age-dependent change. We then study the neuroanatomical organization of the cholinergic system, observing that cholinergic fibers project over the entire neuroaxis while cholinergic neurons appear restricted to few nuclei situated in the equivalent of mammalian subpallium, preoptic area and rostral reticular formation.