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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
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. -
Neurogenetic Profiles Delineate Large-Scale Connectivity Dynamics
ARTICLE DOI: 10.1038/s41467-018-06346-3 OPEN Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain Ibai Diez1,2 & Jorge Sepulcre1,3 Experimental and modeling work of neural activity has described recurrent and attractor dynamic patterns in cerebral microcircuits. However, it is still poorly understood whether similar dynamic principles exist or can be generalizable to the large-scale level. Here, we 1234567890():,; applied dynamic graph theory-based analyses to evaluate the dynamic streams of whole- brain functional connectivity over time across cognitive states. Dynamic connectivity in local networks is located in attentional areas during tasks and primary sensory areas during rest states, and dynamic connectivity in distributed networks converges in the default mode network (DMN) in both task and rest states. Importantly, we find that distinctive dynamic connectivity patterns are spatially associated with Allen Human Brain Atlas genetic tran- scription levels of synaptic long-term potentiation and long-term depression-related genes. Our findings support the neurobiological basis of large-scale attractor-like dynamics in the heteromodal cortex within the DMN, irrespective of cognitive state. 1 Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston 02114 MA, USA. 2 Neurotechnology Laboratory, Health Department, Tecnalia Research & Innovation, Derio 48160, Spain. 3 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, -
Short- and Long-Term Deficits After Unilateral Ablation Andthe Effects of Subsequent Callosal Section’
0270.6474/84/0404-0918$02.00/0 The Journal of Neuroscience Copyright 0 Society for Neuroscience Vol. 4, No. 4, pp. 918-929 Printed in U.S.A. April 1984 SUPPLEMENTARY MOTOR AREA OF THE MONKEY’S CEREBRAL CORTEX: SHORT- AND LONG-TERM DEFICITS AFTER UNILATERAL ABLATION ANDTHE EFFECTS OF SUBSEQUENT CALLOSAL SECTION’ COBIE BRINKMAN Experimental Neurology Unit, The John Curtin School of Medical Research, Australian National University, Canberra, Australia 2601 Received March 7, 1983; Revised November 11, 1983; Accepted November 15, 1983 Abstract The short-term and long-term behavioral effects of unilateral lesions of the supplementary motor area (SMA) were studied in five monkeys (Mczcaca fascicularis ssp). A monkey with a unilateral lesion of the premotor area (PM) served as a control. In all animals, general behavior was unaffected by the lesions. For a few weeks postoperatively, all monkeys showed a clumsiness of forelimb movements, bilaterally, which involved both the distal and proximal muscles. Two SMA-lesioned monkeys (but not the PM-lesioned one), studied for up to 1 year postoperatively, showed a characteristic deficit of bimanual coordination where the two hands tended to behave in a similar manner instead of sharing the task between them. This deficit was more pronounced after a lesion contralateral to the nonpreferred hand. The deficit was interpreted as indicating that the intact SMA now influenced the motor outflow of both the ipsilateral hemisphere and the contralateral one through the corpus callosum. Callosal section immediately abolished the bimanual deficit, although the clumsiness returned transiently. The results imply that SMA may give rise normally to discharges informing the contralateral hemisphere of intended and/or ongoing movements via the corpus callosum. -
Taste Quality Representation in the Human Brain
bioRxiv preprint doi: https://doi.org/10.1101/726711; this version posted August 6, 2019. 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. bioRxiv (2019) Taste quality representation in the human brain Jason A. Avery?, Alexander G. Liu, John E. Ingeholm, Cameron D. Riddell, Stephen J. Gotts, and Alex Martin Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States 20892 Submitted Online August 5, 2019 SUMMARY In the mammalian brain, the insula is the primary cortical substrate involved in the percep- tion of taste. Recent imaging studies in rodents have identified a gustotopic organization in the insula, whereby distinct insula regions are selectively responsive to one of the five basic tastes. However, numerous studies in monkeys have reported that gustatory cortical neurons are broadly-tuned to multiple tastes, and tastes are not represented in discrete spatial locations. Neu- roimaging studies in humans have thus far been unable to discern between these two models, though this may be due to the relatively low spatial resolution employed in taste studies to date. In the present study, we examined the spatial representation of taste within the human brain us- ing ultra-high resolution functional magnetic resonance imaging (MRI) at high magnetic field strength (7-Tesla). During scanning, participants tasted sweet, salty, sour and tasteless liquids, delivered via a custom-built MRI-compatible tastant-delivery system. Our univariate analyses revealed that all tastes (vs. tasteless) activated primary taste cortex within the bilateral dorsal mid-insula, but no brain region exhibited a consistent preference for any individual taste. -
Down but Not out in Posterior Cingulate Cortex: Deactivation Yet Functional Coupling with Prefrontal Cortex During Demanding Semantic Cognition
NeuroImage 141 (2016) 366–377 Contents lists available at ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/ynimg Down but not out in posterior cingulate cortex: Deactivation yet functional coupling with prefrontal cortex during demanding semantic cognition Katya Krieger-Redwood ⁎, Elizabeth Jefferies, Theodoros Karapanagiotidis, Robert Seymour, Adonany Nunes, Jit Wei Aaron Ang, Vierra Majernikova, Giovanna Mollo, Jonathan Smallwood Department of Psychology/York Neuroimaging Centre, University of York, Heslington, York, United Kingdom article info abstract Article history: The posterior cingulate cortex (pCC) often deactivates during complex tasks, and at rest is often only weakly cor- Received 30 March 2016 related with regions that play a general role in the control of cognition. These observations led to the hypothesis Accepted 29 July 2016 that pCC contributes to automatic aspects of memory retrieval and cognition. Recent work, however, has sug- Available online 30 July 2016 gested that the pCC may support both automatic and controlled forms of memory processing and may do so by changing its communication with regions that are important in the control of cognition across multiple do- Keywords: mains. The current study examined these alternative views by characterising the functional coupling of the Posterior cingulate cortex Dorsolateral prefrontal cortex pCC in easy semantic decisions (based on strong global associations) and in harder semantic tasks (matching Semantic control words on the basis of specific non-dominant features). Increasingly difficult semantic decisions led to the expect- Executive ed pattern of deactivation in the pCC; however, psychophysiological interaction analysis revealed that, under Rest these conditions, the pCC exhibited greater connectivity with dorsolateral prefrontal cortex (PFC), relative to Connectivity both easier semantic decisions and to a period of rest. -
Decoding the Sound of Hand-Object Interactions in Primary Somatosensory Cortex
bioRxiv preprint doi: https://doi.org/10.1101/732669; this version posted August 13, 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. Decoding hand-object sounds in primary somatosensory cortex Decoding the sound of hand-object interactions in primary somatosensory cortex Kerri M Bailey1, Bruno L Giordano2, Amanda L Kaas3, and Fraser W Smith1 1School of Psychology, University of East Anglia, Norwich, UK 2Institut de Neurosciences de la Timone, CNRS and Aix Marseille Université 3Department of Cognitive Neuroscience, Maastricht University Correspondence should be addressed to FWS (e-mail: [email protected] ). School of Psychology Lawrence Stenhouse Building University of East Anglia Norwich Research Park Norwich, NR4 7TJ UK Telephone: +44 (0)1603 591676 bioRxiv preprint doi: https://doi.org/10.1101/732669; this version posted August 13, 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. Decoding hand-object sounds in primary somatosensory cortex Abstract Neurons, even in earliest sensory regions of cortex, are subject to a great deal of contextual influences from both within and across modality connections. Recently we have shown that cross-modal connections from vision to primary somatosensory cortex (SI) transmit content- specific information about familiar visual object categories. -
Impaired Effective Functional Connectivity of the Sensorimotor Network in Interictal Episodic Migraineurs Without Aura
Impaired Effective Functional Connectivity of the Sensorimotor Network in Interictal Episodic Migraineurs Without Aura Heng-Le Wei Nanjing Jiangning Hospital Jing Chen Nanjing Jiangning Hospital Yu-Chen Chen Nanjing First Hospital Yu-Sheng Yu Nanjing Jiangning Hospital Xi Guo Nanjing Jiangning Hospital Gang-Ping Zhou Nanjing Jiangning Hospital Qing-Qing Zhou Nanjing Jiangning Hospital Zhen-Zhen He Nanjing Jiangning Hospital Lian Yang Nanjing Jiangning Hospital Xindao Yin Nanjing First Hospital Junrong Li Nanjing Jiangning Hospital Hong Zhang ( [email protected] ) Jiangning Hospital Research article Keywords: magnetic resonance imaging, migraine, sensorimotor network, effective functional connectivity Posted Date: July 2nd, 2020 Page 1/19 DOI: https://doi.org/10.21203/rs.3.rs-39331/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on September 14th, 2020. See the published version at https://doi.org/10.1186/s10194-020-01176-5. Page 2/19 Abstract Background: Resting-state functional magnetic resonance imaging (Rs-fMRI) has conrmed sensorimotor network (SMN) dysfunction in migraine without aura (MwoA). However, the underlying mechanisms of SMN causal functional connectivity in MwoA remain unclear. We aimed to explore the association between clinical characteristics and effective functional connectivity in SMN, in interictal patients who have MwoA. Methods: We used Rs-fMRI to acquire imaging data in forty episodic patients with MwoA in the interictal phase and thirty-four healthy controls (HCs). Independent component analysis was used to prole the distribution of SMN and calculate the different SMN activity between the two groups. -
Graduate Neuroanatomy GSBS GS141181
Page 1 Graduate Neuroanatomy GSBS GS141181 Laboratory Guide Offered and Coordinated by the Department of Neurobiology and Anatomy The University of Texas Health Science Center at Houston. This course guide was adatped from the Medical Neuroscience Laboratory Guide. Nachum Dafny, Ph.D., Course Director; Michael Beierlein, Ph.D., Laboratory Coordinator. Online teaching materials are available at https://oac22.hsc.uth.tmc.edu/courses/neuroanatomy/ Other course information available at http://openwetware.org/wiki/Beauchamp:GraduateNeuroanatomy Contents © 2000-Present University of Texas Health Science Center at Houston. All Rights Reserved. Unauthorized use of contents subject to civil and/or criminal prosecution. Graduate Neuroanatomy : Laboratory Guide Page 2 Table of Contents Overview of the Nervous System ................................................................................................................ 3 Laboratory Exercise #1: External Anatomy of the Brain ......................................................................... 19 Laboratory Exercise #2: Internal Organization of the Brain ..................................................................... 35 Graduate Neuroanatomy : Laboratory Guide Page 3 Overview of the Nervous System Nachum Dafny, Ph.D. The human nervous system is divided into the central nervous system (CNS) and the peripheral nervous system (PNS). The CNS, in turn, is divided into the brain and the spinal cord, which lie in the cranial cavity of the skull and the vertebral canal, respectively. The CNS and the PNS, acting in concert, integrate sensory information and control motor and cognitive functions. The Central Nervous System (CNS) The adult human brain weighs between 1200 to 1500g and contains about one trillion cells. It occupies a volume of about 1400cc - approximately 2% of the total body weight, and receives 20% of the blood, oxygen, and calories supplied to the body. The adult spinal cord is approximately 40 to 50cm long and occupies about 150cc. -
Source Modeling Sleep Slow Waves
Source modeling sleep slow waves Michael Murphya,b,1, Brady A. Riednera,b,c,1, Reto Hubera, Marcello Massiminia, Fabio Ferrarellia, and Giulio Tononia,2 aDepartment of Psychiatry, University of Wisconsin, Madison, WI 53719; and bNeuroscience Training Program and cClinical Neuroengineering Training Program, University of Wisconsin, Madison, WI 53706 Edited by Marcus E. Raichle, Washington University School of Medicine, St. Louis, MO, and approved December 12, 2008 (received for review August 11, 2008) Slow waves are the most prominent electroencephalographic (EEG) distant from the recording electrodes (13). Intracranial recordings feature of sleep. These waves arise from the synchronization of slow are limited in scope and sensitivity; it is impossible to fully sample oscillations in the membrane potentials of millions of neurons. Scalp- the large cortical areas thought to be involved in slow waves. level studies have indicated that slow waves are not instantaneous Imaging modalities like functional magnetic resonance imaging events, but rather they travel across the brain. Previous studies of EEG (fMRI) and positron emission tomography (PET) possess superior slow waves were limited by the poor spatial resolution of EEGs and spatial resolution to EEG source modeling, but their temporal by the difficulty of relating scalp potentials to the activity of the resolution is insufficient to capture the changes in cortical activity underlying cortex. Here we use high-density EEG (hd-EEG) source that occur during an individual slow wave (14, 15). Source-level modeling to show that individual spontaneous slow waves have analyses of hd-EEG sleep slow waves, however, offer a considerable distinct cortical origins, propagate uniquely across the cortex, and advantage in temporal resolution while achieving much higher involve unique subsets of cortical structures.