Cortical and Subcortical Anatomy: Basics and Applied
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1 Neuronal Distribution Across the Cerebral Cortex of the Marmoset
bioRxiv preprint doi: https://doi.org/10.1101/385971; this version posted August 7, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 Neuronal distribution across the cerebral cortex of the marmoset monkey (Callithrix jacchus) Nafiseh Atapour1, 2*, Piotr Majka1-3*, Ianina H. Wolkowicz1, Daria Malamanova1, Katrina H. Worthy1 and Marcello G.P. Rosa1,2 1 Neuroscience Program, Monash Biomedicine Discovery Institute and Department of Physiology, Monash University, Melbourne, Victoria, Australia 2 Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Melbourne, Victoria, Australia 3 Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland * N.A. and P.M contributed equally to this study, and should be considered joint first authors Abbreviated title: Neuronal distribution in the marmoset cortex Number of pages: 43 Number of figures: 12 Number of tables: 4 Number of supplementary figures: 7 Number of supplementary tables: 2 Corresponding author: Marcello G.P. Rosa Email: [email protected] Conflicts of interests: The authors declare there is no conflict of interest. bioRxiv preprint doi: https://doi.org/10.1101/385971; this version posted August 7, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
A Non-Canonical Feedforward Pathway for Computing Odor Identity
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.317248; this version posted September 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. A non-canonical feedforward pathway for computing odor identity Honggoo Chae1♯, Arkarup Banerjee1,2,3♯ & Dinu F. Albeanu1,2* 1 Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 2 Cold Spring Harbor Laboratory School for Biological Sciences, Cold Spring Harbor, NY 3 current address - New York University Medical Center, New York, NY ♯ equal contribution * Correspondence: [email protected] Short title: Cell-type specific decoding of odor identity and intensity in the olfactory bulb Key words: mitral and tufted cells, piriform cortex, anterior olfactory nucleus, cortical feedback, concentration invariant odor identity decoding, two photon calcium imaging, PCA, dPCA, linear and non-linear decoders bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.317248; this version posted September 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Sensory systems rely on statistical regularities in the experienced inputs to either group disparate stimuli, or parse them into separate categories1,2. While considerable progress has been made in understanding invariant object recognition in the visual system3–5, how this is implemented by olfactory neural circuits remains an open question6–10. The current leading model states that odor identity is primarily computed in the piriform cortex, drawing from mitral cell (MC) input6–9,11. -
Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans Ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai
Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai To cite this version: Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai. Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex. Frontiers in Neuroanatomy, Frontiers, 2018, 12, pp.93. 10.3389/fnana.2018.00093. hal-01929541 HAL Id: hal-01929541 https://hal.archives-ouvertes.fr/hal-01929541 Submitted on 21 Nov 2018 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. REVIEW published: 19 November 2018 doi: 10.3389/fnana.2018.00093 Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans J. ten Donkelaar 1*†, Nathalie Tzourio-Mazoyer 2† and Jürgen K. Mai 3† 1 Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands, 2 IMN Institut des Maladies Neurodégénératives UMR 5293, Université de Bordeaux, Bordeaux, France, 3 Institute for Anatomy, Heinrich Heine University, Düsseldorf, Germany The gyri and sulci of the human brain were defined by pioneers such as Louis-Pierre Gratiolet and Alexander Ecker, and extensified by, among others, Dejerine (1895) and von Economo and Koskinas (1925). -
514414V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/514414; this version posted January 9, 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 Running title: Primary somatosensory cortex connections. Title: Afferent connections of the primary somatosensory cortex of the mouse for contextual and multisensory processing. Author: Ian Omer Massé PhD1, Sohen Blanchet-Godbout2, Gilles Bronchti PhD2, Denis Boire PhD2 Affiliations: details 1Research Center, Hôpital du Sacré-Cœur de Montréal,for 5400 Gouin Ouest Blvd, Montreal, Quebec, Canada, H4J 1C5 DOI 2Département d’Anatomie, Université du Québec à Trois-Rivières, 3351, des Forges Blvd, C.P. 500, Trois-Rivières, Quebec, Canada, G9A 2W7 manuscript WITHDRAWNsee Number of pages: Number of figures: Number of tables: Number of equations: Total number of words: Number of words in abstract: Keywords: Cross-modal, corticocortical connections, subcortical connections, feedforward, feedback, top-down, bottom-up Corresponding author: Ian Omer Massé PhD Centre de recherche Hôpital du Sacré-Cœur de Montréal 5400, boulevard Gouin Ouest Montréal, Québec H4J 1C5 Phone: 514-338-2222 ext 7711 FAX: 514 338-2694 E-mail address: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/514414; this version posted January 9, 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. -
A Bilateral Cortico-Striate Projection
J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.28.1.71 on 1 February 1965. Downloaded from J. Neurol. Neurosurg. Psychiat., 1965, 28, 71 A bilateral cortico-striate projection J. B. CARMAN, W. M. COWAN, T. P. S. POWELL, AND K. E. WEBSTER From the Departments of Anatomy, University of Oxford, and University College, London During the course of studies on the projection of the ined, and evidence for a bilateral projection has been cerebral cortex upon the striatum in the rabbit found in 20 animals. The evidence for this projec- (Carman, Cowan, and Powell, 1963) and the cat tion depends upon the collective findings in several (Webster, 1964) degeneration was seen bilaterally in brains, but only a few typical examples will be Nauta preparations of the striatum in some, but not described in full. The findings in the remaining all, animals. For two main reasons this observation experiments will be summarized in composite was not included in the earlier study. First, because figures. of the difficulty of interpreting any findings of Experiment R30 is representative of the rabbit bilateral degeneration in silver preparations, and, brains in which a projection to the contralateral particularly as it is well known that the striatum striatum was found after a lesion involving the sen- commonly shows pseudo-degeneration, it was im- sori-motor cortex. The cortical damage in this brain perative to exclude this possibility by the prepara- is in the form of a broad strip along the dorsal guest. Protected by copyright. tion of further material using both the frozen and surface of the hemisphere from just behind the paraffin Nauta methods. -
A Hypothesis for the Evolution of the Upper Layers of the Neocortex Through Co-Option of the Olfactory Cortex Developmental Program
HYPOTHESIS AND THEORY published: 12 May 2015 doi: 10.3389/fnins.2015.00162 A hypothesis for the evolution of the upper layers of the neocortex through co-option of the olfactory cortex developmental program Federico Luzzati 1, 2* 1 Department of Life Sciences and Systems Biology (DBIOS), University of Turin, Turin, Italy, 2 Neuroscience Institute Cavalieri Ottolenghi, Orbassano, Truin, Italy The neocortex is unique to mammals and its evolutionary origin is still highly debated. The neocortex is generated by the dorsal pallium ventricular zone, a germinative domain that in reptiles give rise to the dorsal cortex. Whether this latter allocortical structure Edited by: contains homologs of all neocortical cell types it is unclear. Recently we described a Francisco Aboitiz, + + Pontificia Universidad Catolica de population of DCX /Tbr1 cells that is specifically associated with the layer II of higher Chile, Chile order areas of both the neocortex and of the more evolutionary conserved piriform Reviewed by: cortex. In a reptile similar cells are present in the layer II of the olfactory cortex and Loreta Medina, the DVR but not in the dorsal cortex. These data are consistent with the proposal that Universidad de Lleida, Spain Gordon M. Shepherd, the reptilian dorsal cortex is homologous only to the deep layers of the neocortex while Yale University School of Medicine, the upper layers are a mammalian innovation. Based on our observations we extended USA Fernando Garcia-Moreno, these ideas by hypothesizing that this innovation was obtained by co-opting a lateral University of Oxford, UK and/or ventral pallium developmental program. Interestingly, an analysis in the Allen brain *Correspondence: atlas revealed a striking similarity in gene expression between neocortical layers II/III Federico Luzzati, and piriform cortex. -
Functional Role of the Supplementary and Pre-Supplementary Motor Areas
REVIEWS Functional role of the supplementary and pre-supplementary motor areas Parashkev Nachev*‡, Christopher Kennard‡ and Masud Husain* Abstract | The supplementary motor complex consists of the supplementary motor area, the supplementary eye field and the pre-supplementary motor area. In recent years, these areas have come under increasing scrutiny from cognitive neuroscientists, motor physiologists and clinicians because they seem to be crucial for linking cognition to action. However, theories regarding their function vary widely. This Review brings together the data regarding the supplementary motor regions, highlighting outstanding issues and providing new perspectives for understanding their functions. Ever since they were first identified, the regions that which we hope will stimulate the development of comprise the supplementary motor complex (SMC) have conceptual frameworks for a better understanding remained, in large part, a mystery. Most investigators now of this region. appreciate that these brain regions are far from ‘supple- mentary’ to requirements1–7. Without them, there are Anatomy and connections profound alterations in behaviour. For example, lesions to The supplementary motor area (SMA) and pre- these areas in humans can lead to alien-limb syndrome, supplementary motor area (pre-SMA) are, in humans, with patients demonstrating involuntary actions such as located on the medial aspect of the brain: in the dorso- grasping nearby objects — even other people — without medial frontal cortex3,14, anterior to the leg representa- ever intending to do so8,9. Some individuals demonstrate tion of the primary motor cortex (FIG. 1). Both areas lie utilization behaviour: unable to resist the impulse to use in the superior frontal gyrus and constitute the medial an object that has been placed within their reach, even part of Brodmann’s area 6c (later divided into two areas: when the object is not needed10. -
Dissociations Between Microstructural and Functional Hierarchies Within Regions of Transmodal Cortex
bioRxiv preprint doi: https://doi.org/10.1101/488700; this version posted December 7, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. DISSOCIATIONS BETWEEN MICROSTRUCTURAL AND FUNCTIONAL HIERARCHIES WITHIN REGIONS OF TRANSMODAL CORTEX PAQUOLA C1, VOS DE WAEL R1, WAGSTYL K2, BETHLEHEM RAI3, HONG SJ1, SEIDLITZ J4,5, BULLMORE ET5, EVANS AC1,2, MISIC B1, MARGULIES DS6, SMALLWOOD J7, BERNHARDT BC1* 1 McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada; 2 McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC, Canada; 3 Autism Research Centre, Department of Psychiatry, University of Cambridge, England, United Kingdom; 4 Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA; 5 Brain Mapping Unit, University of Cambridge, Department of Psychiatry, Cambridge CB2 0SZ, UK; 6 Frontlab, Institut du Cerveau et de la Moelle épinière, UPMC UMRS 1127, Inserm U 1127, CNRS UMR 7225, Paris, France; 7 York Neuroimaging Center, University of York, UK SUMMARY While the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements of cognition. While non- human primate research has demonstrated a close structure-function correspondence, the relationship between microstructure and function remains poorly understood in humans, in part because of the reliance on post mortem analyses which cannot be directly related to functional data. To overcome this barrier, we developed a novel approach to model the similarity of microstructural profiles sampled in the direction of cortical columns. -
Function of Cerebral Cortex
FUNCTION OF CEREBRAL CORTEX Course: Neuropsychology CC-6 (M.A PSYCHOLOGY SEM II); Unit I By Dr. Priyanka Kumari Assistant Professor Institute of Psychological Research and Service Patna University Contact No.7654991023; E-mail- [email protected] The cerebral cortex—the thin outer covering of the brain-is the part of the brain responsible for our ability to reason, plan, remember, and imagine. Cerebral Cortex accounts for our impressive capacity to process and transform information. The cerebral cortex is only about one-eighth of an inch thick, but it contains billions of neurons, each connected to thousands of others. The predominance of cell bodies gives the cortex a brownish gray colour. Because of its appearance, the cortex is often referred to as gray matter. Beneath the cortex are myelin-sheathed axons connecting the neurons of the cortex with those of other parts of the brain. The large concentrations of myelin make this tissue look whitish and opaque, and hence it is often referred to as white matter. The cortex is divided into two nearly symmetrical halves, the cerebral hemispheres . Thus, many of the structures of the cerebral cortex appear in both the left and right cerebral hemispheres. The two hemispheres appear to be somewhat specialized in the functions they perform. The cerebral hemispheres are folded into many ridges and grooves, which greatly increase their surface area. Each hemisphere is usually described, on the basis of the largest of these grooves or fissures, as being divided into four distinct regions or lobes. The four lobes are: • Frontal, • Parietal, • Occipital, and • Temporal. -
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. -
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.