Ipsilateral Cortical Connections of Dorsal and Ventral Premotor Areas in New World Owl Monkeys
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Eye Fields in Ocular Decision Making Contrasting the Roles of The
Contrasting the roles of the supplementary and frontal eye fields in ocular decision making Shun-nan Yang and Stephen Heinen J Neurophysiol 111:2644-2655, 2014. First published 26 March 2014; doi:10.1152/jn.00543.2013 You might find this additional info useful... This article cites 42 articles, 19 of which can be accessed free at: /content/111/12/2644.full.html#ref-list-1 Updated information and services including high resolution figures, can be found at: /content/111/12/2644.full.html Additional material and information about Journal of Neurophysiology can be found at: http://www.the-aps.org/publications/jn This information is current as of July 30, 2014. Downloaded from on July 30, 2014 Journal of Neurophysiology publishes original articles on the function of the nervous system. It is published 12 times a year (monthly) by the American Physiological Society, 9650 Rockville Pike, Bethesda MD 20814-3991. Copyright © 2014 by the American Physiological Society. ISSN: 0022-3077, ESSN: 1522-1598. Visit our website at http://www.the-aps.org/. J Neurophysiol 111: 2644–2655, 2014. First published March 26, 2014; doi:10.1152/jn.00543.2013. Contrasting the roles of the supplementary and frontal eye fields in ocular decision making Shun-nan Yang1,2 and Stephen Heinen2 1Vision Performance Institute, College of Optometry, Pacific University, Forest Grove, Oregon; and 2Smith-Kettlewell Eye Research Institute, San Francisco, California Submitted 29 July 2013; accepted in final form 25 March 2014 Yang SN, Heinen S. Contrasting the roles of the supplementary and specified by the motion stimulus (Britten et al. -
Practicerelated Changes in Neural Activation Patterns Investigated Via
r Human Brain Mapping 000:000–000 (2012) r Practice-Related Changes in Neural Activation Patterns Investigated via Wavelet-Based Clustering Analysis Jinae Lee,1 Cheolwoo Park,1 Kara A. Dyckman,2,3,4 Nicole A. Lazar,1 Benjamin P. Austin,5 Qingyang Li,6 and Jennifer E. McDowell2,3,4* 1Department of Statistics, University of Georgia (UGA), Athens, Georgia 2Department of Psychology, University of Georgia (UGA), Athens, Georgia 3Department of Neuroscience, University of Georgia (UGA), Athens, Georgia 4The Bio-Imaging Research Center, University of Georgia (UGA), Athens, Georgia 5UW Cardiovascular Research Center, University of Wisconsin School of Medicine and Public Health and theDepartment of Veterans Affairs (VA) Geriatric Research, Education and Clinical Center (GRECC), Madison, WI, USA 6Center for the Developing Brain, Child Mind Institute, 445 Park Ave, New York, NY 10022, USA r r Abstract: Objectives: To evaluate brain activation using functional magnetic resonance imaging (fMRI) and specifically, activation changes across time associated with practice-related cognitive control during eye movement tasks. Experimental design: Participants were engaged in antisaccade performance (gener- ating a glance away from a cue) while fMR images were acquired during two separate test sessions: (1) at pre-test before any exposure to the task and (2) at post-test, after 1 week of daily practice on antisac- cades, prosaccades (glancing toward a target), or fixation (maintaining gaze on a target). Principal obser- vations: The three practice groups were compared across the two test sessions, and analyses were conducted via the application of a model-free clustering technique based on wavelet analysis. This se- ries of procedures was developed to avoid analysis problems inherent in fMRI data and was composed of several steps: detrending, data aggregation, wavelet transform and thresholding, no trend test, prin- cipal component analysis (PCA), and K-means clustering. -
Supplementary Eye Field Encodes Reward Prediction Error
2950 • The Journal of Neuroscience, February 29, 2012 • 32(9):2950–2963 Behavioral/Systems/Cognitive Supplementary Eye Field Encodes Reward Prediction Error NaYoung So1 and Veit Stuphorn1,2 1Department of Neuroscience, The Johns Hopkins University School of Medicine and Zanvyl Krieger Mind/Brain Institute, and 2Department of Psychological and Brain Sciences, The Johns Hopkins University, Baltimore, Maryland 21218 The outcomes of many decisions are uncertain and therefore need to be evaluated. We studied this evaluation process by recording neuronalactivityinthesupplementaryeyefield(SEF)duringanoculomotorgamblingtask.Whilethemonkeysawaitedtheoutcome,SEF neurons represented attributes of the chosen option, namely, its expected value and the uncertainty of this value signal. After the gamble result was revealed, a number of neurons reflected the actual reward outcome. Other neurons evaluated the outcome by encoding the difference between the reward expectation represented during the delay period and the actual reward amount (i.e., the reward prediction error). Thus, SEF encodes not only reward prediction error but also all the components necessary for its computation: the expected and theactualoutcome.ThissuggeststhatSEFmightactivelyevaluatevalue-baseddecisionsintheoculomotordomain,independentofother brain regions. Introduction ent evaluative stages can indicate whether a brain area contains all In most real-life decisions, the outcomes are uncertain or can the neuronal signals sufficient to compute RPE signals. change over time. The values -
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. -
Eye Fields in the Frontal Lobes of Primates
Brain Research Reviews 32Ž. 2000 413±448 www.elsevier.comrlocaterbres Full-length review Eye fields in the frontal lobes of primates Edward J. Tehovnik ), Marc A. Sommer, I-Han Chou, Warren M. Slocum, Peter H. Schiller Department of Brain and CognitiÕe Sciences, Massachusetts Institute of Technology, E25-634, Cambridge, MA 02139, USA Accepted 19 October 1999 Abstract Two eye fields have been identified in the frontal lobes of primates: one is situated dorsomedially within the frontal cortex and will be referred to as the eye field within the dorsomedial frontal cortexŽ. DMFC ; the other resides dorsolaterally within the frontal cortex and is commonly referred to as the frontal eye fieldŽ. FEF . This review documents the similarities and differences between these eye fields. Although the DMFC and FEF are both active during the execution of saccadic and smooth pursuit eye movements, the FEF is more dedicated to these functions. Lesions of DMFC minimally affect the production of most types of saccadic eye movements and have no effect on the execution of smooth pursuit eye movements. In contrast, lesions of the FEF produce deficits in generating saccades to briefly presented targets, in the production of saccades to two or more sequentially presented targets, in the selection of simultaneously presented targets, and in the execution of smooth pursuit eye movements. For the most part, these deficits are prevalent in both monkeys and humans. Single-unit recording experiments have shown that the DMFC contains neurons that mediate both limb and eye movements, whereas the FEF seems to be involved in the execution of eye movements only. -
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. -
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. -
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. -
Cortical Parcellation Protocol
CORTICAL PARCELLATION PROTOCOL APRIL 5, 2010 © 2010 NEUROMORPHOMETRICS, INC. ALL RIGHTS RESERVED. PRINCIPAL AUTHORS: Jason Tourville, Ph.D. Research Assistant Professor Department of Cognitive and Neural Systems Boston University Ruth Carper, Ph.D. Assistant Research Scientist Center for Human Development University of California, San Diego Georges Salamon, M.D. Research Dept., Radiology David Geffen School of Medicine at UCLA WITH CONTRIBUTIONS FROM MANY OTHERS Neuromorphometrics, Inc. 22 Westminster Street Somerville MA, 02144-1630 Phone/Fax (617) 776-7844 neuromorphometrics.com OVERVIEW The cerebral cortex is divided into 49 macro-anatomically defined regions in each hemisphere that are of broad interest to the neuroimaging community. Region of interest (ROI) boundary definitions were derived from a number of cortical labeling methods currently in use. Protocols from the Laboratory of Neuroimaging at UCLA (LONI; Shattuck et al., 2008), the University of Iowa Mental Health Clinical Research Center (IOWA; Crespo-Facorro et al., 2000; Kim et al., 2000), the Center for Morphometric Analysis at Massachusetts General Hospital (MGH-CMA; Caviness et al., 1996), a collaboration between the Freesurfer group at MGH and Boston University School of Medicine (MGH-Desikan; Desikan et al., 2006), and UC San Diego (Carper & Courchesne, 2000; Carper & Courchesne, 2005; Carper et al., 2002) are specifically referenced in the protocol below. Methods developed at Boston University (Tourville & Guenther, 2003), Brigham and Women’s Hospital (McCarley & Shenton, 2008), Stanford (Allan Reiss lab), the University of Maryland (Buchanan et al., 2004), and the University of Toyoma (Zhou et al., 2007) were also consulted. The development of the protocol was also guided by the Ono, Kubik, and Abernathy (1990), Duvernoy (1999), and Mai, Paxinos, and Voss (Mai et al., 2008) neuroanatomical atlases. -
Cortical and Subcortical Anatomy: Basics and Applied
43rd Congress of the Canadian Neurological Sciences Federation Basic mechanisms of epileptogenesis and principles of electroencephalography Cortical and subcortical anatomy: basics and applied J. A. Kiernan MB, ChB, PhD, DSc Department of Anatomy & Cell Biology, The University of Western Ontario London, Canada LEARNING OBJECTIVES Know and understand: ! Two types of principal cell and five types of interneuron in the cerebral cortex. ! The layers of the cerebral cortex as seen in sections stained to show either nucleic acids or myelin. ! The types of corrtex: allocortex and isocortex. ! Major differences between extreme types of isocortex. As seen in primary motor and primary sensory areas. ! Principal cells in different layers give rise to association, commissural, projection and corticothalamic fibres. ! Cortical neurons are arranged in columns of neurons that share the same function. ! Intracortical circuitry provides for neurons in one column to excite one another and to inhibit neurons in adjacent columns. ! The general plan of neuronal connections within nuclei of the thalamus. ! The location of motor areas of the cerebral cortex and their parallel and hierarchical projections to the brain stem and spinal cord. ! The primary visual area and its connected association areas, which have different functions. ! Somatotopic representation in the primary somatosensory and motor areas. ! Cortical areas concerned with perception and expression of language, and the anatomy of their interconnections. DISCLOSURE FORM This disclosure form must be included as the third page of your Course Notes and the third slide of your presentation. It is the policy of the Canadian Neurological Sciences Federation to insure balance, independence, objectivity and scientific rigor in all of its education programs. -
Anatomy and White Matter Connections of the Superior Frontal Gyrus
Anatomy and White Matter Connections of the Superior Frontal Gyrus Robert G. Briggs, BS1; A. Basit Khan, MD5; Arpan R. Chakraborty, BS2; Carol J Abraham, BS2; Christopher D. Anderson, BA2; Patrick J. Karas, MD5; Phillip A. Bonney, MD1; Ali H. Palejwala, MD2; Andrew K. Conner, MD2; Daniel L. O’Donoghue, PhD3; and Michael E. Sughrue, MD4 1Department of Neurosurgery, University of Southern California, Los Angeles, California 2Department of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma 3Department of Cell Biology, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma 4Center for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia 5Department of Neurosurgery, Baylor College of Medicine, Houston, Texas Running Title: SFG Subcortical Anatomy Keywords: neurology, neurosurgery, white matter, imaging, connectome Corresponding Author: Michael E. Sughrue, MD Suite 3, Level 7 Prince of Wales Private Hospital Barker Street, Randwick New South Wales, 2031 Australia Tel: 02 9650 4940 Fax: 02 9650 4902 Email: [email protected] This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/ca.23523 This article is protected by copyright. All rights reserved. Funding: None. Declaration of Interests: None. Anatomy and White Matter Connections of the Superior Frontal Gyrus ABSTRACT Introduction. The superior frontal gyrus (SFG) is an important region implicated in a variety of tasks including motor movement, working memory, resting-state and cognitive control. A detailed understanding of the subcortical white matter of the SFG could improve post-operative morbidity related to surgery around this gyrus. -
Neuromodulation: Harnessing Neuroplasticity with Brain Stimulation and Rehabilitation
Neuromodulation: Harnessing Neuroplasticity with Brain Stimulation and Rehabilitation Presenters: Cecília N. Prudente, PT, MS, PhD1 Bernadette T. Gillick, PT, MS, PhD1 Colum MacKinnon, PhD2 Teresa J.Kimberley, PT, PhD1 1Dept. of Rehabilitation Medicine 2Dept. of Neurology Conflicts of interest TJK: consulting income from MicroTransponder Others: Nothing to declare Learning objectives 1. Be familiar with forms of brain stimulation 2. Be able to identify safety and feasibility of each technique 3. Understand the purposes of using the parameters of brain stimulation 4. Translate brain stimulation research into clinical implications Harnessing neuroplasticity to improve motor function 1. Neuromodulation tools 2. Down-regulation 3. Up-regulation 4. Hijacking neural firing patterns 5. Where are we now, where are we going, and how do we get there? 6. Discussion Harnessing neuroplasticity to improve motor function 1. Neuromodulation tools 2. Down-regulation 3. Up-regulation 4. Hijacking neural firing patterns 5. Where are we now, where are we going, and how do we get there? 6. Discussion What is neuromodulation? http://blog.cambridgeconsultants.com/medical-technology/wp- content/uploads/2014/05/Neuromodulation.jpg Publications per year 1200 1000 800 Neuromodulation 600 Neuromodulation & rehabilitation 400 200 0 2016 1978 1988 1998 2008 Source: Pubmed How to neuromodulate? Healthy state Neuroplasticity Injury Medications Neuromodulation Rehabilitation Neuromodulation tools Why neuromodulate? E I Healthy state : greater excitability : greater inhibition