Neural Connections of the Posteromedial Cortex in the Macaque
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10041.Full.Pdf
The Journal of Neuroscience, July 23, 2014 • 34(30):10041–10054 • 10041 Systems/Circuits Frontal Cortical and Subcortical Projections Provide a Basis for Segmenting the Cingulum Bundle: Implications for Neuroimaging and Psychiatric Disorders Sarah R. Heilbronner and Suzanne N. Haber Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, New York 14642 The cingulum bundle (CB) is one of the brain’s major white matter pathways, linking regions associated with executive function, decision-making, and emotion. Neuroimaging has revealed that abnormalities in particular locations within the CB are associated with specific psychiatric disorders, including depression and bipolar disorder. However, the fibers using each portion of the CB remain unknown. In this study, we used anatomical tract-tracing in nonhuman primates (Macaca nemestrina, Macaca fascicularis, Macaca mulatta)toexaminetheorganizationofspecificcingulate,noncingulatefrontal,andsubcorticalpathwaysthroughtheCB.Thegoalswere as follows: (1) to determine connections that use the CB, (2) to establish through which parts of the CB these fibers travel, and (3) to relate the CB fiber pathways to the portions of the CB identified in humans as neurosurgical targets for amelioration of psychiatric disorders. Results indicate that cingulate, noncingulate frontal, and subcortical fibers all travel through the CB to reach both cingulate and noncin- gulate targets. However, many brain regions send projections through only part, not all, of the CB. For example, amygdala fibers are not present in the caudal portion of the dorsal CB. These results allow segmentation of the CB into four unique zones. We identify the specific connections that are abnormal in psychiatric disorders and affected by neurosurgical interventions, such as deep brain stimulation and cingulotomy. -
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. -
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, -
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. -
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. -
A Practical Review of Functional MRI Anatomy of the Language and Motor Systems
REVIEW ARTICLE FUNCTIONAL A Practical Review of Functional MRI Anatomy of the Language and Motor Systems X V.B. Hill, X C.Z. Cankurtaran, X B.P. Liu, X T.A. Hijaz, X M. Naidich, X A.J. Nemeth, X J. Gastala, X C. Krumpelman, X E.N. McComb, and X A.W. Korutz ABSTRACT SUMMARY: Functional MR imaging is being performed with increasing frequency in the typical neuroradiology practice; however, many readers of these studies have only a limited knowledge of the functional anatomy of the brain. This text will delineate the locations, anatomic boundaries, and functions of the cortical regions of the brain most commonly encountered in clinical practice—specifically, the regions involved in movement and language. ABBREVIATIONS: FFA ϭ fusiform face area; IPL ϭ inferior parietal lobule; PPC ϭ posterior parietal cortex; SMA ϭ supplementary motor area; VOTC ϭ ventral occipitotemporal cortex his article serves as a review of the functional areas of the brain serving to analyze spatial position and the ventral stream working Tmost commonly mapped during presurgical fMRI studies, to identify what an object is. Influenced by the dorsal and ventral specifically targeting movement and language. We have compiled stream model of vision, Hickok and Poeppel2 hypothesized a sim- what we hope is a useful, easily portable, and concise resource that ilar framework for language. In this model, the ventral stream, or can be accessible to radiologists everywhere. We begin with a re- lexical-semantic system, is involved in sound-to-meaning map- view of the language-processing system. Then we describe the pings associated with language comprehension and semantic ac- gross anatomic boundaries, organization, and function of each cess.