Identification of a Distinct Association Fiber Tract “IPS-FG” to Connect The
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Combined Structural and Diffusion Tensor Imaging Detection of Ischemic Injury in Moyamoya Disease: Relation to Disease Advancement and Cerebral Hypoperfusion
CLINICAL ARTICLE Combined structural and diffusion tensor imaging detection of ischemic injury in moyamoya disease: relation to disease advancement and cerebral hypoperfusion Ken Kazumata, MD, PhD,1 Kikutaro Tokairin, MD,1 Masaki Ito, MD, PhD,1 Haruto Uchino, MD, PhD,1 Taku Sugiyama, MD, PhD,1 Masahito Kawabori, MD, PhD,1 Toshiya Osanai, MD, PhD,1 Khin Khin Tha, MD, PhD,2 and Kiyohiro Houkin, MD, PhD1 1Department of Neurosurgery, Hokkaido University Graduate School of Medicine; and 2Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan OBJECTIVE The microstructural integrity of gray and white matter is decreased in adult moyamoya disease, suggesting covert ischemic injury as a mechanism of cognitive dysfunction. Establishing a microstructural brain imaging marker is critical for monitoring cognitive outcomes following surgical interventions. The authors of the present study determined the pathophysiological basis of altered microstructural brain injury in relation to advanced arterial occlusion, cerebral hypoperfusion, and cognitive function. METHODS The authors examined 58 patients without apparent brain lesions and 30 healthy controls by using structural MRI, as well as diffusion tensor imaging (DTI). Arterial occlusion in each hemisphere was classified as early or ad- vanced stage based on MRA and posterior cerebral artery (PCA) involvement. Regional cerebral blood flow (rCBF) was measured with N-isopropyl-p-[123I]-iodoamphetamine SPECT. Furthermore, cognitive performance was examined using the Wechsler Adult Intelligence Scale, Third Edition and the Trail Making Test (TMT). Both voxel- and region of inter- est–based analyses were performed for groupwise comparisons, as well as correlation analysis, using parameters such as cognitive test scores; gray matter volume; fractional anisotropy (FA) of association fiber tracts, including the inferior frontooccipital fasciculus (IFOF) and superior longitudinal fasciculus (SLF); PCA involvement; and rCBF. -
Circular Representation of Human Cortical Networks for Subject and Population-Level Connectomic Visualization
NeuroImage 60 (2012) 1340–1351 Contents lists available at SciVerse ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/ynimg Full Length Articles Circular representation of human cortical networks for subject and population-level connectomic visualization Andrei Irimia ⁎, Micah C. Chambers, Carinna M. Torgerson, John D. Van Horn Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, 635 Charles E Young Drive South, Suite 225, Los Angeles, CA 90095, USA article info abstract Article history: Cortical network architecture has predominantly been investigated visually using graph theory representa- Received 13 September 2011 tions. In the context of human connectomics, such representations are not however always satisfactory Revised 19 January 2012 because canonical methods for vertex–edge relationship representation do not always offer optimal insight Accepted 20 January 2012 regarding functional and structural neural connectivity. This article introduces an innovative framework for Available online 28 January 2012 the depiction of human connectomics by employing a circular visualization method which is highly suitable to the exploration of central nervous system architecture. This type of representation, which we name a Keywords: ‘ ’ Connectomics connectogram , has the capability of classifying neuroconnectivity relationships intuitively and elegantly. A Cortical network multimodal protocol for MRI/DTI neuroimaging data acquisition is here combined with automatic image seg- DTI mentation to (1) extract cortical and non-cortical anatomical structures, (2) calculate associated volumetrics MRI and morphometrics, and (3) determine patient-specific connectivity profiles to generate subject-level and Neuroimaging population-level connectograms. The scalability of our approach is demonstrated for a population of 50 adults. -
Quantitative Analysis of Axon Collaterals of Single Pyramidal Cells
Yang et al. BMC Neurosci (2017) 18:25 DOI 10.1186/s12868-017-0342-7 BMC Neuroscience RESEARCH ARTICLE Open Access Quantitative analysis of axon collaterals of single pyramidal cells of the anterior piriform cortex of the guinea pig Junli Yang1,2*, Gerhard Litscher1,3* , Zhongren Sun1*, Qiang Tang1, Kiyoshi Kishi2, Satoko Oda2, Masaaki Takayanagi2, Zemin Sheng1,4, Yang Liu1, Wenhai Guo1, Ting Zhang1, Lu Wang1,3, Ingrid Gaischek3, Daniela Litscher3, Irmgard Th. Lippe5 and Masaru Kuroda2 Abstract Background: The role of the piriform cortex (PC) in olfactory information processing remains largely unknown. The anterior part of the piriform cortex (APC) has been the focus of cortical-level studies of olfactory coding, and asso- ciative processes have attracted considerable attention as an important part in odor discrimination and olfactory information processing. Associational connections of pyramidal cells in the guinea pig APC were studied by direct visualization of axons stained and quantitatively analyzed by intracellular biocytin injection in vivo. Results: The observations illustrated that axon collaterals of the individual cells were widely and spatially distrib- uted within the PC, and sometimes also showed a long associational projection to the olfactory bulb (OB). The data showed that long associational axons were both rostrally and caudally directed throughout the PC, and the intrinsic associational fibers of pyramidal cells in the APC are omnidirectional connections in the PC. Within the PC, associa- tional axons typically followed rather linear trajectories and irregular bouton distributions. Quantitative data of the axon collaterals of two pyramidal cells in the APC showed that the average length of axonal collaterals was 101 mm, out of which 79 mm (78% of total length) were distributed in the PC. -
Progress and Challenges in Probing the Human Brain
University of Pennsylvania ScholarlyCommons Neuroethics Publications Center for Neuroscience & Society 10-2015 Progress and Challenges in Probing the Human Brain Russell A. Poldrack Martha J. Farah University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/neuroethics_pubs Part of the Bioethics and Medical Ethics Commons, Neuroscience and Neurobiology Commons, and the Neurosciences Commons Recommended Citation Poldrack, R. A., & Farah, M. J. (2015). Progress and Challenges in Probing the Human Brain. Nature, 526 (7573), 371-379. http://dx.doi.org/10.1038/nature15692 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/neuroethics_pubs/136 For more information, please contact [email protected]. Progress and Challenges in Probing the Human Brain Abstract Perhaps one of the greatest scientific challenges is to understand the human brain. Here we review current methods in human neuroscience, highlighting the ways that they have been used to study the neural bases of the human mind. We begin with a consideration of different levels of description relevant to human neuroscience, from molecules to large-scale networks, and then review the methods that probe these levels and the ability of these methods to test hypotheses about causal mechanisms. Functional MRI is considered in particular detail, as it has been responsible for much of the recent growth of human neuroscience research. We briefly er view its inferential strengths and weaknesses and present examples of new analytic approaches that allow inferences beyond simple localization of psychological processes. Finally, we review the prospects for real-world applications and new scientific challenges for human neuroscience. -
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). -
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. -
Evolutionary Expansion of Connectivity Between Multimodal Association Areas in the Human Brain Compared with Chimpanzees,” by Dirk Jan Ardesch, Lianne H
Correction NEUROSCIENCE Correction for “Evolutionary expansion of connectivity between multimodal association areas in the human brain compared with chimpanzees,” by Dirk Jan Ardesch, Lianne H. Scholtens, Longchuan Li, Todd M. Preuss, James K. Rilling, and Martijn P. van den Heuvel, which was first published March 18, 2019; 10.1073/pnas.1818512116 (Proc Natl Acad Sci USA 116:7101–7106). The authors wish to note the following: “No new MRI data were acquired for this study. All chimpanzee MRIs were obtained from a data archive of scans obtained prior to the 2015 implementation of US Fish and Wildlife Service and National Institutes of Health regulations governing research with chimpanzees. All the scans reported in this publication were completed by the end of 2012. All chimpanzee MRI scans are part of the National Chimpanzee Brain Resource (http://www.chimpanzeebrain.org).” Published under the PNAS license. Published online April 29, 2019. www.pnas.org/cgi/doi/10.1073/pnas.1906107116 9680 | PNAS | May 7, 2019 | vol. 116 | no. 19 www.pnas.org Downloaded by guest on October 1, 2021 Evolutionary expansion of connectivity between multimodal association areas in the human brain compared with chimpanzees Dirk Jan Ardescha, Lianne H. Scholtensa, Longchuan Lib, Todd M. Preussc,d,e, James K. Rillingc,d,f,g,h, and Martijn P. van den Heuvela,i,1 aConnectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands; bMarcus Autism Center, Children’s Healthcare of Atlanta, Emory University, Atlanta, GA 30329; cYerkes National Primate Research Center, Emory University, Atlanta, GA 30329; dCenter for Translational Social Neuroscience, Emory University, Atlanta, GA 30329; eDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30307; fDepartment of Anthropology, Emory University, Atlanta, GA 30322; gSilvio O. -
Acute Cognitive Deficits After Traumatic Brain Injury Predict Alzheimer's
GeroScience (2020) 42:1411–1429 https://doi.org/10.1007/s11357-020-00245-6 ORIGINAL ARTICLE Acute cognitive deficits after traumatic brain injury predict Alzheimer’s disease-like degradation of the human default mode network Andrei Irimia & Alexander S. Maher & Nikhil N. Chaudhari & Nahian F. Chowdhury & Elliot B. Jacobs & the Alzheimer’s Disease Neuroimaging Initiative Received: 9 June 2020 /Accepted: 29 July 2020 /Published online: 2 August 2020 # American Aging Association 2020 Abstract Traumatic brain injury (TBI) and Alzheimer’s are leveraged to study the extent to which geriatric mild disease (AD) are prominent neurological conditions whose TBI(mTBI)canleadtoAD-like alteration of resting-state neural and cognitive commonalities are poorly understood. activity in the default mode network (DMN). This network The extent of TBI-related neurophysiological abnormali- is found to contain modules whose extent of AD-like, ties has been hypothesized to reflect AD-like neurodegen- posttraumatic degradation can be accurately prognosticat- eration because TBI can increase vulnerability to AD. ed based on the acute cognitive deficits of geriatric mTBI However, it remains challenging to prognosticate AD risk patients with cerebral microbleeds. Aside from establish- partly because the functional relationship between acute ing a predictive physiological association between geriatric posttraumatic sequelae and chronic AD-like degradation mTBI, cognitive impairment, and AD-like functional deg- remains elusive. Here, functional magnetic resonance im- radation, these findings advance the goal of acutely fore- aging (fMRI), network theory, and machine learning (ML) casting mTBI patients’ chronic deviations from normality along AD-like functional trajectories. The association of Andrei Irimia and Alexander S. Maher contributed equally to this geriatric mTBI with AD-like changes in functional brain work. -
A Fiber, 9, 10, 66, 67 Abdomen, 221 Visceral Afferent, 222 Absolute
INDEX A fiber, 9, 10, 66, 67 all-or-none law, 62 Abdomen, 221 current during propagation, 62, 63 visceral afferent, 222 current loop, 64 Absolute temperature, 26 definition, 40 Acceleration depolarization phase, 38 angular, 183 duration, 38 linear, 183, 184 effect on contraction, 144 negative, 184 frequency, 50 positive, 184 generation, 88, 89 Accommodation, excitability, 60 inactivation, 48 Acetic acid, 74, 78 inhibition, 96 Acetylenoline ion current, 42, 43 cycle, 78 ion shift, 40, 42, 43 end plate, 74, 75 kinetics, 44-52 fate, 77, 78 mechanism of propagation, 62 intestinal muscle, 237 membrane conductance, 49 membrane receptor, 77-79 muscle, 129 muscarinergic transmission, 223, 225 overshoot, 38 nicotinergic transmission, 223, 225 peak, 38 quanta, 82 phase, 38 receptor, 78, 79 potassium conductance, 41 Renshaw cell, 100 propagation, 61-68 smooth muscle, 230, 231 refractory period, 50 transmitter function, 100, 101 refractory phase, 49, 50 Acetylcholinesterase, 101 repolarization, 38 ACh, 74, 75, s.a. acetylcholine rising phase, 38 Acid, fatty, 225 saltatory conduction, 64-66 Actin, 131-133, 139, 147 smooth muscle, 230, 231 Actinomycin, '312 sodium conductance, 41, 42 Action potential, 37-43 sodium deficiency, 43 Action potential tetrodotoxin, 52 after-potential, 39 threshold, 39 327 328 Index Action potential (cont.) Anion, 21 time course, 37, 38 Anococcygeal muscle, 233 trigger, 39 Anoce,58 triphasic current, 64 Antagonist inhibition, 109, 212 upstroke, 38 Anterior pens, micturition center, 241 velocity of conduction, 61 Anticholinergic substance, 313 Active transport Antidiuretic hormone, 259 membrane, 32 Aphagia, 264 sodium, 35 Aphasia Activity clock, 288 motor, 305 Adaptation, hormonal, 259 sensory, 305 Adenohypophysis Apoplexy, 196, 310 feedback system, 259 ARAS,295 hormone control, 257-259 Areflexia, 170 hypothalamus, 254 Arousal, 295 Adenosine triphosphate, 132-134, 147, 226 Arterial pressure, 247, s.a. -
Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury
Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Irimia, Andrei, Micah C. Chambers, Carinna M. Torgerson, Maria Filippou, David A. Hovda, Jeffry R. Alger, Guido Gerig, et al. 2012. Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury. Frontiers in Neurology 3:10. Published Version doi://10.3389/fneur.2012.00010 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:8462352 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA METHODS ARTICLE published: 06 February 2012 doi: 10.3389/fneur.2012.00010 Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury Andrei Irimia1, Micah C. Chambers 1, Carinna M.Torgerson1, Maria Filippou 2, David A. Hovda2, Jeffry R. Alger 3, Guido Gerig 4, Arthur W.Toga1, Paul M. Vespa2, Ron Kikinis 5 and John D. Van Horn1* 1 Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA 2 Brain Injury Research Center, Departments of Neurology and Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA 3 Department of Radiology, David -
Human Parietal Cortex in Action Jody C Culham and Kenneth F Valyear
Human parietal cortex in action Jody C Culham and Kenneth F Valyear Experiments using functional neuroimaging and transcranial owes, in large part, to the rapid growth of neuroimaging magnetic stimulation in humans have revealed regions of the studies, particularly experiments using functional mag- parietal lobes that are specialized for particular visuomotor netic resonance imaging (fMRI) and transcranial mag- actions, such as reaching, grasping and eye movements. In netic stimulation (TMS). addition, the human parietal cortex is recruited by processing and perception of action-related information, even when no In one popular view of the visual system [1], visual overt action occurs. Such information can include object shape information is segregated along two pathways: the ventral and orientation, knowledge about how tools are employed and stream (occipito-temporal cortex) computes vision for the understanding of actions made by other individuals. We perception, whereas the dorsal stream (occipito-parietal review the known subregions of the human posterior parietal cortex) computes vision for action. Here, we review cortex and the principles behind their organization. recent advances that address the organization of the posterior parietal cortex and the action-related subregions Addresses within it. We begin by focusing on the role of the dorsal Department of Psychology, Social Science Centre, University of stream in visually-guided real actions. However, we then Western Ontario, London, Ontario, Canada, N6A 5C2 discuss a topic that -
Neuroanatomy: Dissection of the Sheep Brain
Neuroanatomy: Dissection of the Sheep Brain The basic neuroanatomy of the mammalian brain is similar for all species. Instead of using a rodent brain (too small) or a human brain (no volunteer donors), we will study neuroanatomy by examining the brain of the sheep. We will be looking as several structures within the central nervous system (CNS), which is composed of the brain and spinal cord. You will learn individual structures now; later you will be looking at brain systems to see how different parts of the brain form functional units. Just as we differ with respect to individual characteristics, brains also differ slightly in the size, coloration, and shape of some structures. Carefully examine the brain you and your group are dissecting and try to look around the room at some other brains so you can see how the structures may vary. This is especially important when examining the cranial nerves, since rarely will all 12 nerve pairs be preserved on any one brain. This handout will guide you through the dissection and identification of structures. Refer to your text and the accompanying CD for additional information about comparative structures and functions. The last page of this handout lists all the structures you should be prepared to identify for the test. If the structure is marked with *, you should be prepared to identify the function of that structure. Check out the terrific tutorial of a sheep brain dissection on the web site at the University of Scranton (http://academic.uofs.edu/department/psych/sheep/). Lateral View of the Sheep Brain Dorsal Horizontal Section Anterior Posterior Ventral Olfactory bulbs Optic nerves Look for Medulla and chiasm pituitary here External and Midline Anatomy Examine the sheep brain with the membranes intact.