Atrophic Sclerosis of the Cerebral Cortex Associated with Birth Injury
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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). -
Quantity Determination and the Distance Effect with Letters, Numbers, and Shapes: a Functional MR Imaging Study of Number Processing
AJNR Am J Neuroradiol 23:193–200, February 2003 Quantity Determination and the Distance Effect with Letters, Numbers, and Shapes: A Functional MR Imaging Study of Number Processing Robert K. Fulbright, Stephanie C. Manson, Pawel Skudlarski, Cheryl M. Lacadie, and John C. Gore BACKGROUND AND PURPOSE: The ability to quantify, or to determine magnitude, is an important part of number processing, and the extent to which language and other cognitive abilities are involved with number processing is an area of interest. We compared activation patterns, reaction times, and accuracy as subjects determined stimulus magnitude by ordering letters, numbers, and shapes. A second goal was to define the brain regions involved in the distance effect (the farther apart numbers are, the faster subjects are at judging which number is larger) and whether this effect depended on stimulus type. METHODS: Functional MR images were acquired in 19 healthy subjects. The order task required the subjects to judge whether three stimuli were in order according to their position in the alphabet (letters), position in the number line (numbers), or size (shapes). In the control (identify task), subjects judged whether one of the three stimuli was a particular letter, number, or shape. Each stimulus type was divided into near trials (quantity difference of three or less) and far trials (quantity difference of at least five) to assess the distance effect. RESULTS: Subjects were less accurate and slower with letters than with numbers and shapes. A distance effect was present with shapes and numbers, as subjects ordered the near trials slower than far trials. No distance effect was detected with letters. -
01 05 Lateral Surface of the Brain-NOTES.Pdf
Lateral Surface of the Brain Medical Neuroscience | Tutorial Notes Lateral Surface of the Brain 1 MAP TO NEUROSCIENCE CORE CONCEPTS NCC1. The brain is the body's most complex organ. LEARNING OBJECTIVES After study of the assigned learning materials, the student will: 1. Demonstrate the four paired lobes of the cerebral cortex and describe the boundaries of each. 2. Sketch the major features of each cerebral lobe, as seen from the lateral view, identifying major gyri and sulci that characterize each lobe. NARRATIVE by Leonard E. WHITE and Nell B. CANT Duke Institute for Brain Sciences Department of Neurobiology Duke University School of Medicine Overview When you view the lateral aspect of a human brain specimen (see Figures A3A and A102), three structures are usually visible: the cerebral hemispheres, the cerebellum, and part of the brainstem (although the brainstem is not visible in the specimen photographed in lateral view for Fig. 1 below). The spinal cord has usually been severed (but we’ll consider the spinal cord later), and the rest of the subdivisions are hidden from lateral view by the hemispheres. The diencephalon and the rest of the brainstem are visible on the medial surface of a brain that has been cut in the midsagittal plane. Parts of all of the subdivisions are also visible from the ventral surface of the whole brain. Over the next several tutorials, you will find video demonstrations (from the brain anatomy lab) and photographs (in the tutorial notes) of these brain surfaces, and sufficient detail in the narrative to appreciate the overall organization of the parts of the brain that are visible from each perspective. -
Imaging Surgical Epilepsy in Children
Childs Nerv Syst (2006) 22:786–809 DOI 10.1007/s00381-006-0132-5 SPECIAL ANNUAL ISSUE Imaging surgical epilepsy in children Charles Raybaud & Manohar Shroff & James T. Rutka & Sylvester H. Chuang Received: 1 February 2006 / Published online: 13 June 2006 # Springer-Verlag 2006 Abstract of the diverse pathologies concerned with epilepsy surgery in Introduction Epilepsy surgery rests heavily upon magnetic the pediatric context is provided with illustrative images. resonance imaging (MRI). Technical developments have brought significantly improved efficacy of MR imaging in Keywords MR imaging . Epilepsy. Ganglioglioma . DNT. detecting and assessing surgical epileptogenic lesions, PXA . FCD . Hypothalamic hamartoma . while more clinical experience has brought better definition Meningioangiomatosis of the pathological groups. Discussion MRI is fairly efficient in identifying develop- mental, epilepsy-associated tumors such as ganglioglioma Introduction (with its variants gangliocytoma and desmoplastic infantile ganglioglioma), the complex, simple and nonspecific forms Epilepsy surgery in children addresses severe refractory of dysembryoplastic neuroepithelial tumor, and the rare epilepsy mainly, which threatens the child’s development, pleomorphic xanthoastrocytoma. The efficacy of MR when a constant epileptogenic focus can be identified from imaging is not as good for the diagnosis of focal cortical the clinical and the electroencephalogram (EEG) data and be dysplasia (FCD), as it does not necessarily correlate with removed. Imaging must demonstrate -
Neuropathology Category Code List
Neuropathology Page 1 of 27 Neuropathology Major Category Code Headings Revised 10/2018 1 General neuroanatomy, pathology, and staining 65000 2 Developmental neuropathology, NOS 65400 3 Epilepsy 66230 4 Vascular disorders 66300 5 Trauma 66600 6 Infectious/inflammatory disease 66750 7 Demyelinating diseases 67200 8 Complications of systemic disorders 67300 9 Aging and neurodegenerative diseases 68000 10 Prion diseases 68400 11 Neoplasms 68500 12 Skeletal Muscle 69500 13 Peripheral Nerve 69800 14 Ophthalmic pathology 69910 Neuropathology Page 2 of 27 Neuropathology 1 General neuroanatomy, pathology, and staining 65000 A Neuroanatomy, NOS 65010 1 Neocortex 65011 2 White matter 65012 3 Entorhinal cortex/hippocampus 65013 4 Deep (basal) nuclei 65014 5 Brain stem 65015 6 Cerebellum 65016 7 Spinal cord 65017 8 Pituitary 65018 9 Pineal 65019 10 Tracts 65020 11 Vascular supply 65021 12 Notochord 65022 B Cell types 65030 1 Neurons 65031 2 Astrocytes 65032 3 Oligodendroglia 65033 4 Ependyma 65034 5 Microglia and mononuclear cells 65035 6 Choroid plexus 65036 7 Meninges 65037 8 Blood vessels 65038 C Cerebrospinal fluid 65045 D Pathologic responses in neurons and axons 65050 1 Axonal degeneration/spheroid/reaction 65051 2 Central chromatolysis 65052 3 Tract degeneration 65053 4 Swollen/ballooned neurons 65054 5 Trans-synaptic neuronal degeneration 65055 6 Olivary hypertrophy 65056 7 Acute ischemic (hypoxic) cell change 65057 8 Apoptosis 65058 9 Protein aggregation 65059 10 Protein degradation/ubiquitin pathway 65060 E Neuronal nuclear inclusions 65100 -
Common and Distinct Functional Brain Networks for Intuitive and Deliberate Decision Making
brain sciences Article Common and Distinct Functional Brain Networks for Intuitive and Deliberate Decision Making Burak Erdeniz 1,* and John Done 2 1 Department of Psychology, Izmir˙ University of Economics, 35330 Izmir, Turkey 2 Department of Psychology and Sports Sciences, School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL 10 9AB, UK * Correspondence: [email protected]; Tel.: +902-324-888-379 Received: 5 June 2019; Accepted: 19 July 2019; Published: 20 July 2019 Abstract: Reinforcement learning studies in rodents and primates demonstrate that goal-directed and habitual choice behaviors are mediated through different fronto-striatal systems, but the evidence is less clear in humans. In this study, functional magnetic resonance imaging (fMRI) data were collected whilst participants (n = 20) performed a conditional associative learning task in which blocks of novel conditional stimuli (CS) required a deliberate choice, and blocks of familiar CS required an intuitive choice. Using standard subtraction analysis for fMRI event-related designs, activation shifted from the dorso-fronto-parietal network, which involves dorsolateral prefrontal cortex (DLPFC) for deliberate choice of novel CS, to ventro-medial frontal (VMPFC) and anterior cingulate cortex for intuitive choice of familiar CS. Supporting this finding, psycho-physiological interaction (PPI) analysis, using the peak active areas within the PFC for novel and familiar CS as seed regions, showed functional coupling between caudate and DLPFC when processing novel CS and VMPFC when processing familiar CS. These findings demonstrate separable systems for deliberate and intuitive processing, which is in keeping with rodent and primate reinforcement learning studies, although in humans they operate in a dynamic, possibly synergistic, manner particularly at the level of the striatum. -
Online Tables (PDF)
On-line Table 1: Description of cortical and sulcation abnormalities in 40 patients Patient Description 1 Bilateral schizencephaly, extensive fcd, abnormal Sylvian fissures 2 Abnormal R intraparietal-occipital sulcus and open sylvian fissures, sylvian cortex and R occipital cortex 3 Unusual sulcation R postcingulate and transmantle bands to Sylvian fissures 4 Bilateral peri-Sylvian pmg, abnormal Sylvian fissures, thick and blurred cortex 5 Dysplastic L cingulate adjacent to transmantle dysplasia 6 Transmantle band left frontal and above right caudate 7 L frontal transmantle band 8 Abnormal Sylvian fissures, L Ͼ R 9 R posterior quadrantic dysplasia, abnormal posterior sulcation and R Sylvian fissure, linear band 10 Abnormal L Sylvian fissure 11 Linear bands from posterior atrium to occipital white matter, unusual stellate sulcal configuration joining R intraparietal sulcus 12 Short Sylvian fissures, absent L intra-parieto-occipital fissure and simplified gyral pattern, areas of increased cortical thickness 13 Unusual sulcation R postcentral–thick but only 3 years of age terminal zones 14 Abnormal L Sylvian fissure, abnormal sulcus from L frontal lobe joins it with stellate shape 15 Dysplastic cingulate gyrus R abnormal L calcarine with branching, N thickness, still young 16 Abnormal Sylvian fissures bilaterally, elongated with terminal branches; difficult to assess thickness because not myelinated yet 17 Abnormal L Sylvian fissure 18 Thick gray linear transmantle bands from nodules to adjacent Sylvian cortex, thickened but no pmg 19 Unusual sulcation -
Diffusion Weighted Imaging in Pediatric Neuroradiology Massachusetts General Hospital, Boston, MA • Harvard Medical School, Boston, MA
Pallavi Sagar, M.D.; P. Ellen Grant, M.D. Diffusion Weighted Imaging in Pediatric Neuroradiology Massachusetts General Hospital, Boston, MA • Harvard Medical School, Boston, MA I. CEREBROVASCULAR DISEASE IV. TOXIC AND METABOLIC DISORDERS V. DEMYELINATING DISORDERS 1) Arterial Ischemic Stroke (AIS) 3) Global Hypoxia and Hypoperfusion 1) Methotrexate Neurotoxicity 1) Multiple Sclerosis (MS) INTRODUCTION Pediatric AIS is less common and almost 50% of the pediatric AIS are Perinatal Hypoxic Ischemic Brain Injury Intrathecal or intravenous methotrexate can cross blood brain barrier and cause diffuse or multifocal Figure 9. Methotrexate toxicity. Axial (a) T2 and (b) DWI. There is MS is an inflammatory demyelinating process, Diffusion-weighted magnetic resonance idiopathic. Pediatric strokes can be classified as perinatal (between 28 weeks white matter changes typically in the periventricular region. Alteration in myelin metabolism faint T2 hyperintensity in the left posterior centrum semiovale. which can be reversible due to reparative imaging (DWI) provides image contrast DWI is more sensitive in demonstrating increased signal in this of gestation and 28 days of postnatal life) or childhood (between 30 days and Hypoxic ischemic brain injury results from a combination of global cerebral hypoxia and hypoperfusion. Two patterns have causing axonal swelling and intramyelinic edema has been proposed. In acute encephalopathy region and an additional lesion on the right side presumably remyelination or become irreversible with that is dependent on the molecular motion 18 year of life) ( Figure 1) . been described. Partial asphyxia or peripheral pattern with bilateral white matter injury and a profound or central pattern with transient and reversible lesions with decreased diffusion can be observed. -
(OCD) Using Treatment-Induced Neuroimaging Changes
Neurosurgery J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp-2020-324478 on 27 April 2021. Downloaded from Review Defining functional brain networks underlying obsessive–compulsive disorder (OCD) using treatment- induced neuroimaging changes: a systematic review of the literature Kelly R. Bijanki ,1 Yagna J. Pathak,2 Ricardo A. Najera,1 Eric A. Storch,3 Wayne K Goodman,3 H. Blair Simpson,4 Sameer A. Sheth1 ► Additional material is ABSTRACT Aberrant signalling in cortico- striato- thalamo- published online only. To view Approximately 2%–3% of the population suffers from cortical (CSTC) circuits is considered to be an please visit the journal online obsessive–compulsive disorder (OCD). Several brain important pathological mechanism underlying (http:// dx. doi. org/ 10. 1136/ [S1- S3] jnnp- 2020- 324478). regions have been implicated in the pathophysiology OCD. These circuits are composed of glutama- of OCD, but their various contributions remain unclear. tergic and GABAergic projections that connect fron- 1 Department of Neurosurgery, We examined changes in structural and functional tocortical and subcortical brain areas.[S4- S9] Within Baylor College of Medicine, the CSTC loop, the direct pathway from striatum Houston, Texas, USA neuroimaging before and after a variety of therapeutic 2Department of Neurological interventions as an index into identifying the underlying to internal pallidum to thalamus and back to cortex Surgery, Columbia University networks involved. We identified 64 studies from 1990 exerts a net excitatory effect, and the indirect Medical Center, New York, New to 2020 comparing pretreatment and post-treatment pathway, which additionally includes the external York, USA 3 imaging of patients with OCD, including metabolic pallidum and subthalamic nucleus, produces a Menninger Department of net inhibitory effect.[S4] A lack of balance in these Psychiatry and Behavioral and perfusion, neurochemical, structural, functional Sciences, Baylor College of and connectivity-based modalities. -
Os Odontoideum As a Cause of Cervical Cord Injury in a Patient with Refractory Epilepsy
Case Report Clinics in Surgery Published: 09 Feb, 2021 Os Odontoideum as a Cause of Cervical Cord Injury in a Patient with Refractory Epilepsy Shohei Kusabiraki1, Eiji Nakagawa1*, Takashi Saito1, Yutaro Takayama2, Keiya Iijima2, Masaki Iwasaki2, Ayano Matsui3 and Tetsuya Abe4 1Department of Child Neurology, National Center Hospital, NCNP, Japan 2Department of Neurosurgery, National Center Hospital, Japan 3Department of Orthopedics, National Center Hospital, Japan 4Department of Orthopedic Surgery, University of Tsukuba, Japan Abstract Os odontoideum is an anomaly of the second cervical vertebrae in which the odontoid process is separated from the body of the axis. Traumatic injury or congenital fusion failure is thought to be the etiology. The clinical symptoms are variable from cervical pain, torticollis, and myelopathy and vertebrobasilar ischemia. Os odontoideum can cause instability of the neck, and neck injuries can cause life-threatening complications. In this report, we present the case of a 15-year-old girl with refractory epilepsy who developed quadriparesis after a fall and hit to the forehead while traveling. Although the symptoms improved, weakness in her right upper limb persisted at 2 months after the fall. Imaging studies revealed Os odontoideum. Based on her medical history, the recent head trauma due to epileptic seizures accompanied by atlantoaxial instability was considered to result in cervical compression and spinal damage. She was at a high risk of sudden death due to recurrent seizures and cervical injury; therefore, -
Brain Networks for Confidence Weighting and Hierarchical
Brain networks for confidence weighting and PNAS PLUS hierarchical inference during probabilistic learning Florent Meyniela,1 and Stanislas Dehaenea,b,1 aCognitive Neuroimaging Unit, NeuroSpin Center, Institute of Life Sciences Frédéric Joliot, Fundemental Research Division, Commissariat à l’Énergie Atomique et aux Énergies Alternatives, INSERM, Université Paris–Sud, Université Paris–Saclay, 91191 Gif/Yvette, France; and bChair of Experimental Cognitive Psychology, Collège de France, 75005 Paris, France Contributed by Stanislas Dehaene, March 20, 2017 (sent for review September 23, 2016; reviewed by Stephen M. Fleming and Charles R. Gallistel) Learning is difficult when the world fluctuates randomly and and normative solution to this problem requires weighting each ceaselessly. Classical learning algorithms, such as the delta rule with source of information according to its reliability (3–12). According constant learning rate, are not optimal. Mathematically, the optimal to this Bayes-optimal solution, any discrepancy between a new ob- learning rule requires weighting prior knowledge and incoming servation and a learned estimate should lead to an update of this evidence according to their respective reliabilities. This “confidence internal estimate, but the size of this update should decrease as the weighting” implies the maintenance of an accurate estimate of the prior confidence in this internal estimate increases. Furthermore, reliability of what has been learned. Here, using fMRI and an ideal- this prior confidence should depend on two factors: the precision of observer analysis, we demonstrate that the brain’s learning algorithm the current internal estimate and a discounting factor that takes into relies on confidence weighting. While in the fMRI scanner, human account the possibility that a change occurred. -
Neural Arbitration Between Social and Individual Learning Systems
RESEARCH ARTICLE Neural arbitration between social and individual learning systems Andreea Oliviana Diaconescu1,2,3,4†*, Madeline Stecy1,2,5†, Lars Kasper1,2,6, Christopher J Burke2, Zoltan Nagy2, Christoph Mathys1,7,8, Philippe N Tobler2 1Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland; 2Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland; 3University of Basel, Department of Psychiatry (UPK), Basel, Switzerland; 4Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), University of Toronto, Toronto, Canada; 5Rutgers Robert Wood Johnson Medical School, New Brunswick, United States; 6Institute for Biomedical Engineering, MRI Technology Group, ETH Zu¨ rich & University of Zurich, Zurich, Switzerland; 7Interacting Minds Centre, Aarhus University, Aarhus, Denmark; 8Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy Abstract Decision making requires integrating knowledge gathered from personal experiences with advice from others. The neural underpinnings of the process of arbitrating between information sources has not been fully elucidated. In this study, we formalized arbitration as the relative precision of predictions, afforded by each learning system, using hierarchical Bayesian modeling. In a probabilistic learning task, participants predicted the outcome of a lottery using recommendations from a more informed advisor and/or self-sampled outcomes.