A Hypothesis for the Evolution of the Upper Layers of the Neocortex Through Co-Option of the Olfactory Cortex Developmental Program
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Neocortex and Allocortex Respond Differentially to Cellular Stress in Vitro and Aging in Vivo
Neocortex and Allocortex Respond Differentially to Cellular Stress In Vitro and Aging In Vivo Jessica M. Posimo, Amanda M. Titler, Hailey J. H. Choi, Ajay S. Unnithan, Rehana K. Leak* Division of Pharmaceutical Sciences, Mylan School of Pharmacy, Duquesne University, Pittsburgh, Pennsylvania, United States of America Abstract In Parkinson’s and Alzheimer’s diseases, the allocortex accumulates aggregated proteins such as synuclein and tau well before neocortex. We present a new high-throughput model of this topographic difference by microdissecting neocortex and allocortex from the postnatal rat and treating them in parallel fashion with toxins. Allocortical cultures were more vulnerable to low concentrations of the proteasome inhibitors MG132 and PSI but not the oxidative poison H2O2. The proteasome appeared to be more impaired in allocortex because MG132 raised ubiquitin-conjugated proteins and lowered proteasome activity in allocortex more than neocortex. Allocortex cultures were more vulnerable to MG132 despite greater MG132-induced rises in heat shock protein 70, heme oxygenase 1, and catalase. Proteasome subunits PA700 and PA28 were also higher in allocortex cultures, suggesting compensatory adaptations to greater proteasome impairment. Glutathione and ceruloplasmin were not robustly MG132-responsive and were basally higher in neocortical cultures. Notably, neocortex cultures became as vulnerable to MG132 as allocortex when glutathione synthesis or autophagic defenses were inhibited. Conversely, the glutathione precursor N-acetyl cysteine rendered allocortex resilient to MG132. Glutathione and ceruloplasmin levels were then examined in vivo as a function of age because aging is a natural model of proteasome inhibition and oxidative stress. Allocortical glutathione levels rose linearly with age but were similar to neocortex in whole tissue lysates. -
The Structural Model: a Theory Linking Connections, Plasticity, Pathology, Development and Evolution of the Cerebral Cortex
Brain Structure and Function https://doi.org/10.1007/s00429-019-01841-9 REVIEW The Structural Model: a theory linking connections, plasticity, pathology, development and evolution of the cerebral cortex Miguel Ángel García‑Cabezas1 · Basilis Zikopoulos2,3 · Helen Barbas1,3 Received: 11 October 2018 / Accepted: 29 January 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract The classical theory of cortical systematic variation has been independently described in reptiles, monotremes, marsupials and placental mammals, including primates, suggesting a common bauplan in the evolution of the cortex. The Structural Model is based on the systematic variation of the cortex and is a platform for advancing testable hypotheses about cortical organization and function across species, including humans. The Structural Model captures the overall laminar structure of areas by dividing the cortical architectonic continuum into discrete categories (cortical types), which can be used to test hypotheses about cortical organization. By type, the phylogenetically ancient limbic cortices—which form a ring at the base of the cerebral hemisphere—are agranular if they lack layer IV, or dysgranular if they have an incipient granular layer IV. Beyond the dysgranular areas, eulaminate type cortices have six layers. The number and laminar elaboration of eulaminate areas differ depending on species or cortical system within a species. The construct of cortical type retains the topology of the systematic variation of the cortex and forms the basis for a predictive Structural Model, which has successfully linked cortical variation to the laminar pattern and strength of cortical connections, the continuum of plasticity and stability of areas, the regularities in the distribution of classical and novel markers, and the preferential vulnerability of limbic areas to neurodegenerative and psychiatric diseases. -
Computational Capacity of Pyramidal Neurons in the Cerebral Cortex
Computational capacity of pyramidal neurons in the cerebral cortex Danko D. Georgieva,∗, Stefan K. Kolevb, Eliahu Cohenc, James F. Glazebrookd aInstitute for Advanced Study, 30 Vasilaki Papadopulu Str., Varna 9010, Bulgaria bInstitute of Electronics, Bulgarian Academy of Sciences, 72 Tzarigradsko Chaussee Blvd., Sofia 1784, Bulgaria cFaculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan 5290002, Israel dDepartment of Mathematics and Computer Science, Eastern Illinois University, Charleston, IL 61920, USA Abstract The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the underlying functional specializations, for input or output of neural information, re- spectively. For a proper assessment of the computational capacity of pyramidal neurons, we have analyzed an extensive dataset of three-dimensional digital reconstructions from the NeuroMorpho.Org database, and quantified basic dendritic or axonal morphometric measures in different regions and layers of the mouse, rat or human cerebral cortex. Physical estimates of the total number and type of ions involved in neuronal elec- tric spiking based on the obtained morphometric data, combined with energetics of neurotransmitter release and signaling fueled by glucose consumed by the active brain, support highly efficient cerebral computation performed at the thermodynamically allowed Landauer limit for implementation of irreversible logical oper- ations. Individual proton tunneling events in voltage-sensing S4 protein α-helices of Na+,K+ or Ca2+ ion channels are ideally suited to serve as single Landauer elementary logical operations that are then amplified by selective ionic currents traversing the open channel pores. -
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. -
Staging of Alzheimer Disease-Associated Neurowbrillary Pathology Using Parayn Sections and Immunocytochemistry
Acta Neuropathol (2006) 112:389–404 DOI 10.1007/s00401-006-0127-z METHODS REPORT Staging of Alzheimer disease-associated neuroWbrillary pathology using paraYn sections and immunocytochemistry Heiko Braak · Irina AlafuzoV · Thomas Arzberger · Hans Kretzschmar · Kelly Del Tredici Received: 8 June 2006 / Revised: 21 July 2006 / Accepted: 21 July 2006 / Published online: 12 August 2006 © Springer-Verlag 2006 Abstract Assessment of Alzheimer’s disease (AD)- revised here by adapting tissue selection and process- related neuroWbrillary pathology requires a procedure ing to the needs of paraYn-embedded sections (5–15 m) that permits a suYcient diVerentiation between initial, and by introducing a robust immunoreaction (AT8) for intermediate, and late stages. The gradual deposition hyperphosphorylated tau protein that can be processed of a hyperphosphorylated tau protein within select on an automated basis. It is anticipated that this neuronal types in speciWc nuclei or areas is central to revised methodological protocol will enable a more the disease process. The staging of AD-related neuroW- uniform application of the staging procedure. brillary pathology originally described in 1991 was per- formed on unconventionally thick sections (100 m) Keywords Alzheimer’s disease · NeuroWbrillary using a modern silver technique and reXected the pro- changes · Immunocytochemistry · gress of the disease process based chieXy on the topo- Hyperphosphorylated tau protein · Neuropathologic graphic expansion of the lesions. To better meet the staging · Pretangles demands of routine laboratories this procedure is Introduction This study was made possible by funding from the German Research Council (Deutsche Forschungsgemeinschaft) and BrainNet Europe II (European Commission LSHM-CT-2004- The development of intraneuronal lesions at selec- 503039). -
Ontology and Nomenclature
TECHNICAL WHITE PAPER: ONTOLOGY AND NOMENCLATURE OVERVIEW Currently no “standard” anatomical ontology is available for the description of human brain development. The main goal behind the generation of this ontology was to guide specific brain tissue sampling for transcriptome analysis (RNA sequencing) and gene expression microarray using laser microdissection (LMD), and to provide nomenclatures for reference atlases of human brain development. This ontology also aimed to cover both developing and adult human brain structures and to be mostly comparable to the nomenclatures for non- human primates. To reach these goals some structure groupings are different from what is traditionally put forth in the literature. In addition, some acronyms and structure abbreviations also differ from commonly used terms in order to provide unique identifiers across the integrated ontologies and nomenclatures. This ontology follows general developmental stages of the brain and contains both transient (e.g., subplate zone and ganglionic eminence in the forebrain) and established brain structures. The following are some important features of this ontology. First, four main branches, i.e., gray matter, white matter, ventricles and surface structures, were generated under the three major brain regions (forebrain, midbrain and hindbrain). Second, different cortical regions were named as different “cortices” or “areas” rather than “lobes” and “gyri”, due to the difference in cortical appearance between developing (smooth) and mature (gyral) human brains. Third, an additional “transient structures” branch was generated under the “gray matter” branch of the three major brain regions to guide the sampling of some important transient brain lamina and regions. Fourth, the “surface structures” branch mainly contains important brain surface landmarks such as cortical sulci and gyri as well as roots of cranial nerves. -
The Evolutionary Development of the Brain As It Pertains to Neurosurgery
Open Access Original Article DOI: 10.7759/cureus.6748 The Evolutionary Development of the Brain As It Pertains to Neurosurgery Jaafar Basma 1 , Natalie Guley 2 , L. Madison Michael II 3 , Kenan Arnautovic 3 , Frederick Boop 3 , Jeff Sorenson 3 1. Neurological Surgery, University of Tennessee Health Science Center, Memphis, USA 2. Neurological Surgery, University of Arkansas for Medical Sciences, Little Rock, USA 3. Neurological Surgery, Semmes-Murphey Clinic, Memphis, USA Corresponding author: Jaafar Basma, [email protected] Abstract Background Neuroanatomists have long been fascinated by the complex topographic organization of the cerebrum. We examined historical and modern phylogenetic theories pertaining to microneurosurgical anatomy and intrinsic brain tumor development. Methods Literature and history related to the study of anatomy, evolution, and tumor predilection of the limbic and paralimbic regions were reviewed. We used vertebrate histological cross-sections, photographs from Albert Rhoton Jr.’s dissections, and original drawings to demonstrate the utility of evolutionary temporal causality in understanding anatomy. Results Phylogenetic neuroanatomy progressed from the substantial works of Alcmaeon, Herophilus, Galen, Vesalius, von Baer, Darwin, Felsenstein, Klingler, MacLean, and many others. We identified two major modern evolutionary theories: “triune brain” and topological phylogenetics. While the concept of “triune brain” is speculative and highly debated, it remains the most popular in the current neurosurgical literature. Phylogenetics inspired by mathematical topology utilizes computational, statistical, and embryological data to analyze the temporal transformations leading to three-dimensional topographic anatomy. These transformations have shaped well-defined surgical planes, which can be exploited by the neurosurgeon to access deep cerebral targets. The microsurgical anatomy of the cerebrum and the limbic system is redescribed by incorporating the dimension of temporal causality. -
Cortical and Subcortical Anatomy: Basics and Applied
43rd Congress of the Canadian Neurological Sciences Federation Basic mechanisms of epileptogenesis and principles of electroencephalography Cortical and subcortical anatomy: basics and applied J. A. Kiernan MB, ChB, PhD, DSc Department of Anatomy & Cell Biology, The University of Western Ontario London, Canada LEARNING OBJECTIVES Know and understand: ! Two types of principal cell and five types of interneuron in the cerebral cortex. ! The layers of the cerebral cortex as seen in sections stained to show either nucleic acids or myelin. ! The types of corrtex: allocortex and isocortex. ! Major differences between extreme types of isocortex. As seen in primary motor and primary sensory areas. ! Principal cells in different layers give rise to association, commissural, projection and corticothalamic fibres. ! Cortical neurons are arranged in columns of neurons that share the same function. ! Intracortical circuitry provides for neurons in one column to excite one another and to inhibit neurons in adjacent columns. ! The general plan of neuronal connections within nuclei of the thalamus. ! The location of motor areas of the cerebral cortex and their parallel and hierarchical projections to the brain stem and spinal cord. ! The primary visual area and its connected association areas, which have different functions. ! Somatotopic representation in the primary somatosensory and motor areas. ! Cortical areas concerned with perception and expression of language, and the anatomy of their interconnections. DISCLOSURE FORM This disclosure form must be included as the third page of your Course Notes and the third slide of your presentation. It is the policy of the Canadian Neurological Sciences Federation to insure balance, independence, objectivity and scientific rigor in all of its education programs. -
Accommodation a 395
Accommodation A 395 Index Page numbers in bold indicate extensive coverage of the subject A Aqueduct, 220 central, 274 cerebral (of Sylvius), 10, 132, cerebellar Accommodation, 362, 363 134, 282 inferior negative, 362 Arachnoidea mater, 290 anterior, 272 positive, 362 spinal, 64 posterior, 272 Acetylcholine (ACh), 26, 148, Arbor vitae, 10, 154 superior, 272 296, 316 Archicerebellum, 152 cerebral nicotinic receptor, 30, 31 Archicortex, 208, 232–237,336 anterior, 272, 274, 276 Acetylcholinesterase, 28, 148 rudimentary, 336 middle, 272, 274, 276 Adaptation Archipallium, 208–210 posterior, 272, 274, 276 light–dark, 362 Architectonics, 246 choroidal near–far, 362 Area(s) anterior, 272, 274, 276 Adenohypophysis, 200 association, 210 posterior, 276 Adhesion, interthalamic, 10, auditory ciliary, 350 174 primary, 384 anterior, 350 Adrenergic system, 296 secondary, 384 posterior Agnosia, 252 Broca’s motor speech, 250, long, 350 visual, 338 251 short, 350 Agraphia, 264 cortical, 246, 247 communicating Alexia, 264 dorsocaudal, 194 anterior, 272 Allocortex, 246 entorhinal, 226, 230, 234, posterior, 272, 276 Alveus, 232, 234, 236 246 frontobasal Alzheimer’s disease, 32 motor, 180, 250, 251 lateral, 274 Ampullae, membranous, 372 motosensory, 248, 250 medial, 274 Amusia, 264 of origin, 210 hyaloid, 346 Amygdala, 174, 176, 218, olfactory, 172, 176, 214, 230 hypophysial 228–231 optic integration, 256 inferior, 200, 274 subnuclei, 228 orbitofrontal, 248 superior, 200, 272, 274 Analgesia, 68 parolfactory, 336 insular, 274 Anesthesia, 74 periamygdalar, 226, -
The Limbic System I. Overview A. Between the Neocortex And
The Limbic System I. Overview a. Between the neocortex and hypothalamus regulates behaviors, integrates with somatic motor output (mediates between needs of Hypothalamus and plans of Neocortex – deals with realities of the moment) b. All structures are implicated in the experience and expression of emotions c. The simplest cortex is around the ventricle, then more complex, then neocortex (see II. Organization) d. Limbic forebrain originated as means of controlling internal environment based on external chemosensory and internal hypothalamic input II. Organization a. Limbic Lobe – Cortical structures i. Allocortex (3 layers) 1. Hippocampus 2. Primary olfactory (prepyriform) cortex ii. Periallocortex (4-5 layers) 1. Entorhinal cortex 2. Perirhinal cortex 3. Proximal cingulate, orbitofrontal, and posterior parahippocampal cortex iii. Proisocortex (“almost” neocortex – 6 layers, but very weak layer4) 1. Cingulate cortex 2. Orbitofrontal cortex 3. Posterior parahippocampal cortex b. Limbic Lobe - Subcortical structures (not organized as cortex – no lamina) i. Basal forebrain ii. Amygdala c. Diencephalon i. Hypothalamus ii. Thalamus (AN, MD) iii. Epithalamus (habenula) d. Mesencephalon – Limbic Midbrain Areas (LMA): i. Ventral tegmental area ii. Central gray and tegmentum III. Sensory input a. Olfaction i. First exteroceptive input = olfactory nerve; at first was thought that cortex developed from an “olfactory cortex” ii. Olfactory information has unique assess to memory systems iii. Unique input to limbic system: 1. Olfactory bulb (2nd order neuron, 1st= olfactory receptor cells) 2. Primary olfactory cortex/amygdala/entorhinal cortex 3. Entorhinal cortex hippocampus *2nd order neuron has direct access to allocortex *no thalamic relay to get to primary cortex (fast) b. Other senses – more indirect, first extensively processed through multiple cortical areas: i. -
Posterior Cingulate Cortex Network Predicts Alzheimer's Disease Progression
ORIGINAL RESEARCH published: 15 December 2020 doi: 10.3389/fnagi.2020.608667 Posterior Cingulate Cortex Network Predicts Alzheimer’s Disease Progression Pei-Lin Lee 1, Kun-Hsien Chou 1,2, Chih-Ping Chung 3,4, Tzu-Hsien Lai 3,5, Juan Helen Zhou 6,7, Pei-Ning Wang 2,3,4* and Ching-Po Lin 1,2* 1 Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 2 Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 3 Department of Neurology, School of Medicine, National Yang-Ming University, Taipei, Taiwan, 4 Department of Neurology, The Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 5 Department of Neurology, Far Eastern Memorial Hospital, New Taipei, Taiwan, 6 Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 7 Center for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of toxic misfolded proteins, which are believed to have propagated from disease-specific epicenters through their corresponding large-scale structural networks in the brain. Although previous cross-sectional studies have identified potential AD-associated epicenters and corresponding brain networks, it is unclear whether these networks are associated with disease progression. Hence, this study aims to identify the most vulnerable epicenters and corresponding large-scale structural networks involved in the early stages of AD and to evaluate its associations with multiple cognitive domains using longitudinal study design. Annual neuropsychological and MRI assessments Edited by: were obtained from 23 patients with AD, 37 patients with amnestic mild cognitive Yong Liu, Chinese Academy of Sciences, China impairment (MCI), and 33 healthy controls (HC) for 3 years. -
Science Journals
SCIENCE ADVANCES | RESEARCH ARTICLE NEUROSCIENCE Copyright © 2020 The Authors, some rights reserved; Shaping brain structure: Genetic and phylogenetic axes exclusive licensee American Association of macroscale organization of cortical thickness for the Advancement Sofie L. Valk1,2,3*, Ting Xu4, Daniel S. Margulies4,5, Shahrzad Kharabian Masouleh1,2, of Science. No claim to 6 7 8 9 original U.S. Government Casey Paquola , Alexandros Goulas , Peter Kochunov , Jonathan Smallwood , Works. Distributed 10,11,12 6 1,2 B. T. Thomas Yeo , Boris C. Bernhardt , Simon B. Eickhoff under a Creative Commons Attribution The topology of the cerebral cortex has been proposed to provide an important source of constraint for the License 4.0 (CC BY). organization of cognition. In a sample of twins (n = 1113), we determined structural covariance of thickness to be organized along both a posterior-to-anterior and an inferior-to-superior axis. Both organizational axes were present when investigating the genetic correlation of cortical thickness, suggesting a strong genetic component in humans, and had a comparable organization in macaques, demonstrating they are phylogenetically conserved in primates. In both species, the inferior-superior dimension of cortical organization aligned with the predictions of dual-origin theory, and in humans, we found that the posterior-to-anterior axis related to a functional topography describing a continuum of functions from basic processes involved in perception and action to more abstract Downloaded from features of human cognition. Together, our study provides important insights into how functional and evolutionary patterns converge at the level of macroscale cortical structural organization. INTRODUCTION flexible human cognition (6).