The Prefrontal Cortex
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(Mpfc-Lpmc) Affects Subjective Beauty but Not Ugliness
ORIGINAL RESEARCH published: 08 December 2015 doi: 10.3389/fnhum.2015.00654 Transcranial Direct Current Stimulation Over the Medial Prefrontal Cortex and Left Primary Motor Cortex (mPFC-lPMC) Affects Subjective Beauty but not Ugliness Koyo Nakamura1 and Hideaki Kawabata2* 1 Graduate School of Human Relations, Keio University, Tokyo, Japan, 2 Department of Psychology, Keio University, Tokyo, Japan Neuroaesthetics has been searching for the neural bases of the subjective experience of beauty. It has been demonstrated that neural activities in the medial prefrontal cortex (mPFC) and the left primary motor cortex (lPMC) correlate with the subjective experience of beauty. Although beauty and ugliness seem to be semantically and conceptually opposite, it is still unknown whether these two evaluations represent extreme opposites in unitary or bivariate dimensions. In this study, we applied transcranial direct current stimulation (tDCS) to examine whether non-invasive brain stimulation modulates two types of esthetic evaluation; evaluating beauty and ugliness. Participants rated the Edited by: subjective beauty and ugliness of abstract paintings before and after the application of Edward A. Vessel, tDCS. Application of cathodal tDCS over the mPFC with anode electrode over the lPMC, New York University, USA which induced temporal inhibition of neural excitability of the mPFC, led to a decrease Reviewed by: Zaira Cattaneo, in beauty ratings but not ugliness ratings. There were no changes in ratings of both University of Milano-Bicocca, Italy beauty and ugliness when applying anodal tDCS or sham stimulation over the mPFC. Andrea Antal, Results from our experiment indicate that the mPFC and the lPMC have a causal role University Medical Center Goettingen, Germany in generating the subjective experience of beauty, with beauty and ugliness evaluations Gerald Cupchik, constituting two distinct dimensions. -
Connectivity of BA46 Involvement in the Executive Control of Language
Alfredo Ardila, Byron Bernal and Monica Rosselli Psicothema 2016, Vol. 28, No. 1, 26-31 ISSN 0214 - 9915 CODEN PSOTEG Copyright © 2016 Psicothema doi: 10.7334/psicothema2015.174 www.psicothema.com Connectivity of BA46 involvement in the executive control of language Alfredo Ardila1, Byron Bernal2 and Monica Rosselli3 1 Florida International University, 2 Miami Children’s Hospital and 3 Florida Atlantic University Abstract Resumen Background: Understanding the functions of different brain areas has Estudio de la conectividad del AB46 en el control ejecutivo del lenguaje. represented a major endeavor of contemporary neurosciences. Modern Antecedentes: la comprensión de las funciones de diferentes áreas neuroimaging developments suggest cognitive functions are associated cerebrales representa una de las mayores empresas de las neurociencias with networks rather than with specifi c areas. Objectives. The purpose contemporáneas. Los estudios contemporáneos con neuroimágenes of this paper was to analyze the connectivity of Brodmann area (BA) 46 sugieren que las funciones cognitivas se asocian con redes más que con (anterior middle frontal gyrus) in relation to language. Methods: A meta- áreas específi cas. El propósito de este estudio fue analizar la conectividad analysis was conducted to assess the language network in which BA46 is del área de Brodmann 46 (BA46) (circunvolución frontal media anterior) involved. The DataBase of Brainmap was used; 19 papers corresponding con relación al lenguaje. Método: se llevó a cabo un meta-análisis para to 60 experimental conditions with a total of 245 subjects were included. determinar el circuito o red lingüística en la cual participa BA46. Se utilizó Results: Our results suggest the core network of BA46. -
3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography
3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography Julien Dauguet1, Sharon Peled2, Vladimir Berezovskii3, Thierry Delzescaux4, Simon K. Warfield1, Richard Born3, and Carl-Fredrik Westin5 1 Computational Radiology Laboratory, Children’s Hospital, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA 2 Harvard Center for Neurodegeneration and Repair, Boston, USA 3 Department of Neurobiology, Harvard Medical School, Boston, USA 4 Service Hospitalier Fr´ed´eric Joliot, CEA, Orsay, France 5 Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA Abstract. A classical neural tract tracer, WGA-HRP, was injected at multiple sites within the brain of a macaque monkey. Histological sections of the labeled fiber tracts were reconstructed in 3D, and the fibers were segmented and registered with the anatomical post-mortem MRI from the same animal. Fiber tracing along the same pathways was performed on the DTI data using a classical diffusion tracing technique. The fibers derived from the DTI were compared with those segmented from the histology in order to evaluate the performance of DTI fiber tracing. While there was generally good agreement between the two methods, our results reveal certain limitations of DTI tractography, particularly at regions of fiber tract crossing or bifurcation. 1 Introduction Tracing neural connections lies at the heart of neuroanatomy, and has profound implications for the study of neural function and for the study of developmental and adult plasticity of the nervous system. It is also important for the study of neurodegenerative diseases, and for the planning of neurosurgical procedures, such as tumor ablation. -
Basal Ganglia Anatomy, Physiology, and Function Ns201c
Basal Ganglia Anatomy, Physiology, and Function NS201c Human Basal Ganglia Anatomy Basal Ganglia Circuits: The ‘Classical’ Model of Direct and Indirect Pathway Function Motor Cortex Premotor Cortex + Glutamate Striatum GPe GPi/SNr Dopamine + - GABA - Motor Thalamus SNc STN Analagous rodent basal ganglia nuclei Gross anatomy of the striatum: gateway to the basal ganglia rodent Dorsomedial striatum: -Inputs predominantly from mPFC, thalamus, VTA Dorsolateral striatum: -Inputs from sensorimotor cortex, thalamus, SNc Ventral striatum: Striatal subregions: Dorsomedial (caudate) -Inputs from vPFC, hippocampus, amygdala, Dorsolateral (putamen) thalamus, VTA Ventral (nucleus accumbens) Gross anatomy of the striatum: patch and matrix compartments Patch/Striosome: -substance P -mu-opioid receptor Matrix: -ChAT and AChE -somatostatin Microanatomy of the striatum: cell types Projection neurons: MSN: medium spiny neuron (GABA) •striatonigral projecting – ‘direct pathway’ •striatopallidal projecting – ‘indirect pathway’ Interneurons: FS: fast-spiking interneuron (GABA) LTS: low-threshold spiking interneuron (GABA) LA: large aspiny neuron (ACh) 30 um Cellular properties of striatal neurons Microanatomy of the striatum: striatal microcircuits • Feedforward inhibition (mediated by fast-spiking interneurons) • Lateral feedback inhibition (mediated by MSN collaterals) Basal Ganglia Circuits: The ‘Classical’ Model of Direct and Indirect Pathway Function Motor Cortex Premotor Cortex + Glutamate Striatum GPe GPi/SNr Dopamine + - GABA - Motor Thalamus SNc STN The simplified ‘classical’ model of basal ganglia circuit function • Information encoded as firing rate • Basal ganglia circuit is linear and unidirectional • Dopamine exerts opposing effects on direct and indirect pathway MSNs Basal ganglia motor circuit: direct pathway Motor Cortex Premotor Cortex Glutamate Striatum GPe GPi/SNr Dopamine + GABA Motor Thalamus SNc STN Direct pathway MSNs express: D1, M4 receptors, Sub. -
Efficacy of Transcranial Magnetic Stimulation Targets for Depression
Efficacy of Transcranial Magnetic Stimulation Targets for Depression Is Related to Intrinsic Functional Connectivity with the Subgenual Cingulate Michael D. Fox, Randy L. Buckner, Matthew P. White, Michael D. Greicius, and Alvaro Pascual-Leone Background: Transcranial magnetic stimulation (TMS) to the left dorsolateral prefrontal cortex (DLPFC) is used clinically for the treatment of depression. However, the antidepressant mechanism remains unknown and its therapeutic efficacy remains limited. Recent data suggest that some left DLPFC targets are more effective than others; however, the reasons for this heterogeneity and how to capitalize on this information remain unclear. Methods: Intrinsic (resting state) functional magnetic resonance imaging data from 98 normal subjects were used to compute functional connectivity with various left DLPFC TMS targets employed in the literature. Differences in functional connectivity related to differences in previously reported clinical efficacy were identified. This information was translated into a connectivity-based targeting strategy to identify optimized left DLPFC TMS coordinates. Results in normal subjects were tested for reproducibility in an independent cohort of 13 patients with depression. Results: Differences in functional connectivity were related to previously reported differences in clinical efficacy across a distributed set of cortical and limbic regions. Dorsolateral prefrontal cortex TMS sites with better clinical efficacy were more negatively correlated (anticorre- lated) with the subgenual cingulate. Optimum connectivity-based stimulation coordinates were identified in Brodmann area 46. Results were reproducible in patients with depression. Conclusions: Reported antidepressant efficacy of different left DLPFC TMS sites is related to the anticorrelation of each site with the subgenual cingulate, potentially lending insight into the antidepressant mechanism of TMS and suggesting a role for intrinsically anticor- related networks in depression. -
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. -
A Core Speech Circuit Between Primary Motor, Somatosensory, and Auditory Cortex
bioRxiv preprint doi: https://doi.org/10.1101/139550; this version posted May 19, 2017. 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. Speech core 1 A core speech circuit between primary motor, somatosensory, and auditory cortex: Evidence from connectivity and genetic descriptions * ^ Jeremy I Skipper and Uri Hasson * Experimental Psychology, University College London, UK ^ Center for Mind/Brain Sciences (CIMeC), University of Trento, Italy, and Center for Practical Wisdom, Dept. of Psychology, The University of Chicago Running title: Speech core Words count: 20,362 Address correspondence to: Jeremy I Skipper University College London Experimental Psychology 26 Bedford Way London WC1H OAP United Kingdom E-mail: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/139550; this version posted May 19, 2017. 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. Speech core 2 Abstract What adaptations allow humans to produce and perceive speech so effortlessly? We show that speech is supported by a largely undocumented core of structural and functional connectivity between the central sulcus (CS or primary motor and somatosensory cortex) and the transverse temporal gyrus (TTG or primary auditory cortex). Anatomically, we show that CS and TTG cortical thickness covary across individuals and that they are connected by white matter tracts. -
An Analysis of Functional Neuroimaging Studies of Dorsolateral Prefrontal Cortical Activity in Depression
Psychiatry Research: Neuroimaging 148 (2006) 33–45 www.elsevier.com/locate/psychresns An analysis of functional neuroimaging studies of dorsolateral prefrontal cortical activity in depression Paul B. Fitzgeralda,⁎, Tom J. Oxleya, Angela R. Lairdb, Jayashri Kulkarnia, Gary F. Eganc, Zafiris J. Daskalakisd aAlfred Psychiatry Research Centre, The Alfred and Monash University Department of Psychological Medicine, Commercial Rd, Melbourne, Victoria 3004, Australia bResearch Imaging Center, The University of Texas Health Science Center, San Antonio, San Antonio, TX, USA cHoward Florey Institute, The University of Melbourne, Victoria, Australia dCentre for Addiction and Mental Health, Clarke Division, Toronto, Ontario, Canada Received 22 December 2005; received in revised form 28 March 2006; accepted 10 April 2006 Abstract Repetitive transcranial magnetic stimulation (rTMS) is currently undergoing active investigation for use in the treatment of major depression. Recent research has indicated that current methods used to localize the site of stimulation in dorsolateral prefrontal cortex (DLPFC) are significantly inaccurate. However, little information is available on which to base a choice of stimulation site. The aim of the current study was to systematically examine imaging studies in depression to attempt to identify whether there is a pattern of imaging results that suggests an optimal site of stimulation localization. We analysed all imaging studies published prior to 2005 that examined patients with major depression. Studies reporting activation in DLPFC were identified. The DLPFC regions identified in these studies were analysed using the Talairach and Rajkowska–Goldman-Rakic coordinate systems. In addition, we conducted a quantitative meta-analysis of resting studies and studies of serotonin reuptake inhibitor antidepressant treatment. -
Neuroaesthetics of Art Vision: an Experimental Approach to the Sense of Beauty
Cl n l of i ica a l T rn r u ia o l s J ISSN: 2167-0870 Journal of Clinical Trials Research Article Neuroaesthetics of Art Vision: An Experimental Approach to the Sense of Beauty Maddalena Coccagna1, PietroAvanzini2, Mariagrazia Portera4, Giovanni Vecchiato2, Maddalena Fabbri Destro2, AlessandroVittorio Sironi3,9, Fabrizio Salvi8, Andrea Gatti5, Filippo Domenicali5, Raffaella Folgieri3,6, Annalisa Banzi3, Caselli Elisabetta1, Luca Lanzoni1, Volta Antonella1, Matteo Bisi1, Silvia Cesari1, Arianna Vivarelli1, Giorgio Balboni Pier1, Giuseppe Santangelo Camillo1, Giovanni Sassu7, Sante Mazzacane1* 1Department of CIAS Interdepartmental Research Center, University of Ferrara, Ferrara, Italy;2Department of CNR Neuroscience Institute, Parma, Italy;3Department of CESPEB Neuroaesthetics Laboratory, University Bicocca, Milan, Italy;4Department of Letters and Philosophy, University of Florence, Italy;5Department of Humanistic Studies, University of Ferrara, Ferrara, Italy;6Department of Philosophy Piero Martinetti, University La Statale, Milan, Italy;7Department of Musei Arte Antica, Ferrara, Italy;8Department of Neurological Sciences, Bellaria Hospital, Bologna, Italy;9Department of Centre of the history of Biomedical Thought, University Bicocca, Milan, Italy ABSTRACT Objective: NEVArt research aims to study the correlation between a set of neurophysiological/emotional reactions and the level of aesthetic appreciation of around 500 experimental subjects, during the observation of 18 different paintings from the XVI-XVIII century, in a real museum context. Methods: Several bio-signals have been recorded to evaluate the participants’ reactions during the observation of paintings. Among them: (a) neurovegetative, motor and emotional biosignals were recorded using wearable tools for EEG (electroencephalogram), ECG (electrocardiogram) and EDA (electrodermal activity); (b) gaze pattern during the observation of art works, while (c) data of the participants (age, gender, education, familiarity with art, etc.) and their explicit judgments about paintings have been obtained. -
The Neocortex of Cetartiodactyls. II. Neuronal Morphology of the Visual and Motor Cortices in the Giraffe (Giraffa Camelopardalis)
Brain Struct Funct (2015) 220:2851–2872 DOI 10.1007/s00429-014-0830-9 ORIGINAL ARTICLE The neocortex of cetartiodactyls. II. Neuronal morphology of the visual and motor cortices in the giraffe (Giraffa camelopardalis) Bob Jacobs • Tessa Harland • Deborah Kennedy • Matthew Schall • Bridget Wicinski • Camilla Butti • Patrick R. Hof • Chet C. Sherwood • Paul R. Manger Received: 11 May 2014 / Accepted: 21 June 2014 / Published online: 22 July 2014 Ó Springer-Verlag Berlin Heidelberg 2014 Abstract The present quantitative study extends our of aspiny neurons in giraffes appeared to be similar to investigation of cetartiodactyls by exploring the neuronal that of other eutherian mammals. For cross-species morphology in the giraffe (Giraffa camelopardalis) neo- comparison of neuron morphology, giraffe pyramidal cortex. Here, we investigate giraffe primary visual and neurons were compared to those quantified with the same motor cortices from perfusion-fixed brains of three su- methodology in African elephants and some cetaceans badults stained with a modified rapid Golgi technique. (e.g., bottlenose dolphin, minke whale, humpback whale). Neurons (n = 244) were quantified on a computer-assis- Across species, the giraffe (and cetaceans) exhibited less ted microscopy system. Qualitatively, the giraffe neo- widely bifurcating apical dendrites compared to ele- cortex contained an array of complex spiny neurons that phants. Quantitative dendritic measures revealed that the included both ‘‘typical’’ pyramidal neuron morphology elephant and humpback whale had more extensive den- and ‘‘atypical’’ spiny neurons in terms of morphology drites than giraffes, whereas the minke whale and bot- and/or orientation. In general, the neocortex exhibited a tlenose dolphin had less extensive dendritic arbors. -
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. -
Differences in Functional Connectivity Along the Anterior-Posterior Axis of Human Hippocampal Subfields
bioRxiv preprint doi: https://doi.org/10.1101/410720; this version posted February 21, 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 4.0 International license. Differences in functional connectivity along the anterior-posterior axis of human hippocampal subfields Marshall A. Dalton, Cornelia McCormick, Eleanor A. Maguire* Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, UK *Corresponding author: Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK T: +44-20-34484362; F: +44-20-78131445; E: [email protected] (E.A. Maguire) Highlights High resolution resting state functional MRI scans were collected We investigated functional connectivity (FC) of human hippocampal subfields We specifically examined FC along the anterior-posterior axis of subfields FC between subfields extended beyond the canonical tri-synaptic circuit Different portions of subfields showed different patterns of FC with neocortex 1 bioRxiv preprint doi: https://doi.org/10.1101/410720; this version posted February 21, 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 4.0 International license. Abstract There is a paucity of information about how human hippocampal subfields are functionally connected to each other and to neighbouring extra-hippocampal cortices.