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  • 1
    Call number: 9783319601878 (e-book)
    Description / Table of Contents: The purpose of this textbook is to enable a Neuroscientist to discuss the structure and functions of the brain at a level appropriate for students at many levels of study including undergraduate, graduate, dental or medical school level. It is truer in neurology than in any other system of medicine that a firm knowledge of basic science material, that is, the anatomy, physiology and pathology of the nervous system, enables one to readily arrive at the diagnosis of where the disease process is located and to apply their knowledge at solving problems in clinical situations. The authors have a long experience in teaching neuroscience courses at the first or second year level to medical and dental students and to residents in which clinical information and clinical problem solving are integral to the course.
    Type of Medium: 12
    Pages: 1 Online-Ressource (xxi, 689 Seiten) , Illustrationen
    Edition: third edition
    ISBN: 9783319601878 , 978-3-319-60187-8
    Language: English
    Note: Contents Part I Introduction to the Central Nervous System 1 Introduction to the Central Nervous System 1.1 The Neuron 1.2 The Nervous System 1.2.1 Peripheral Nervous System (Fig. 1.3) 1.2.2 Central Nervous System Bibliography 2 Neurocytology: Cells of the CNS 2.1 The Neuron 2.1.1 Dendrites 2.1.2 Soma 2.1.3 Golgi Type I and II Neurons 2.1.4 Dendritic Spines (Fig. 2.2) 2.1.5 Nucleus 2.1.6 Neuronal Cytoskeleton 2.1.7 Microtubules and Axoplasmic Flow 2.1.8 Neurofibrillary Tangles 2.2 Synapse 2.2.1 Synaptic Structure 2.2.2 Synaptic Types 2.2.3 Synaptic Transmission 2.2.4 Neurotransmitters (Table 2.3) 2.2.5 Modulators of Neurotransmission 2.2.6 Synaptic Vesicles (Fig. 2.16) (Table 2.4) 2.2.7 Effectors and Receptors 2.3 Supporting Cells of the Central Nervous System 2.3.1 Astrocytes (Figs. 2.6 and 2.14; Table 2.7) 2.3.2 Oligodendrocytes (Fig. 2.9) 2.3.3 Endothelial Cells 2.3.4 Mononuclear Cells: Monocytes and Microglia 2.3.5 Ependymal Cells (Fig. 2.20) 2.3.6 Supporting Cells in the Peripheral Nervous System 2.4 Response of the Nervous System to Injury 2.4.1 Degeneration 2.5 Regeneration 2.5.1 Peripheral Nerve Regeneration 2.5.2 Regeneration in the Central Nervous System 2.5.3 Neurogenesis in the Adult Brain Stem 2.5.4 Nerve Growth Factors (NGF) 2.5.5 Glial Response to Injury 2.6 Blood–Brain Barrier 2.6.1 Blood–Brain Barrier (Fig. 2.24) 2.6.2 Extracellular Space Specific References 3 Neuroembryology and Congenital Malformations 3.1 Formation of the Central Nervous System 3.2 Histogenesis 3.2.1 Repair of Damaged Nervous System 3.2.2 Growth Cone Guidance 3.2.3 Programmed Cell Death (PCD): Apoptosis 3.2.4 Neuronal Death 3.2.5 Development of Blood Vessels in the Brain 3.2.6 Ventricular System 3.2.7 Formation of Peripheral Nervous System 3.2.8 Spinal Cord Differentiation 3.3 Brain Differentiation 3.3.1 Rhombencephalon (Hindbrain) 〉 Pons, Medulla, and Cerebellum 3.3.2 Mesencephalon 〉 Adult Midbrain 3.3.3 Prosencephalon 〉 Cerebral Hemispheres and Diencephalon 3.3.4 Diencephalon 3.3.5 Cranial Nerves 3.3.6 Telencephalon 3.3.7 Primary Sulci 3.3.8 Development of the Cerebral Cortex 3.4 Prenatal Development of the Cerebral Cortex 3.5 Changes in the Cortical Architecture as a Function of Postnatal Age 3.6 Abnormal Development 3.6.1 Malformations Resulting from Abnormalities in Growth and Migration with Incomplete Development of the Brain 3.6.2 Genetically Linked Migration Disorders 3.6.3 Environmentally Induced Migration Disorder: Fetal Alcohol Syndrome 3.6.4 Malformations Resulting from Chromosomal Trisomy and Translocation 3.6.5 Malformations Resulting from Defective Fusion of Dorsal Structures 3.6.6 Malformations Characterized by Excessive Growth of Ectodermal and Mesodermal Tissue Affecting the Skin, Nervous System, and Other Tissues 3.6.7 Cutaneous Angiomatosis with Associated Malformations of the Central Nervous System 3.6.8 Malformations Resulting from Abnormalities in the Ventricular System Bibliography 4 Spinal Cord 4.1 Gross Anatomy 4.1.1 Spinal Cord: Structure and Function 4.1.2 Nerve Roots 4.1.3 Gray Matter 4.2 Interneurons 4.3 Central Pattern Generators 4.4 Segmental Function 4.4.1 Motor/Ventral Horn Cells 4.4.2 Sensory Receptors 4.4.3 Stretch Receptors 4.5 Nociception and Pain 4.5.1 Modulation of Pain Transmission 4.6 White Matter Tracts 4.6.1 Descending Tracts in the Spinal Cord 4.6.2 Ascending Tracts in the Spinal Cord 4.6.3 The Anterolateral Pathway 4.7 Upper and Lower Motor Neurons Lesions 4.7.1 Upper Motor Neuron Lesion (UMN) 4.7.2 Lower Motor Neuron Lesion 4.8 Illustrative Spinal Cord Case Histories 4.9 Illustrative Non-spinal Cord Cases with Involvement of Specific Peripheral Nerves: Case Histories 4.8–4.10 4.10 Carpal Tunnel Syndrome Bibliography 5 Brain Stem: Gross Anatomy 5.1 Gross Anatomical Divisions 5.1.1 Sites of Transition 5.2 Relationship of Regions in the Brain to the Ventricular System: Fig. 5.2 5.3 Gross Anatomy of Brain Stem and Diencephalon 5.3.1 Anterior Surface of Gross Brain Stem: Fig. 5.3 5.3.2 Posterior Surface of Brain Stem and Diencephalon: Fig. 5.4 5.4 Arterial Blood Supply to the Brain Stem and Diencephalon (Fig. 5.5) 5.4.1 Medulla 5.4.2 Pons 5.4.3 Midbrain 5.4.4 Diencephalon Bibliography 6 Brain Stem Functional Localization 6.1 Introduction to the Brain Stem 6.2 Differences Between the Spinal Cord and Brain Stem 6.3 Functional Localization in Brain Stem Coronal Sections and an Atlas of the Brain Stem 6.3.1 Medulla 6.3.2 Pons-Blood Supply: Basilar Artery and Its Branches 6.3.3 Midbrain Blood Supply: Basila Arrteraynd Posterio Crerebral Arteries 6.4 Midbrain Tectum 6.5 Midbrain Tegmentum 6.6 Superior Colliculus 6.6.1 Midbrain Tegmentum 6.6.2 Blood Supply: Posterior Cerebral Arteries 6.7 Superior Colliculus Tectum 6.8 Superior Colliculus Tegmentum 6.8.1 Superior ColliculusVentricular Zone 6.9 Functional Centers in the Brain Stem 6.9.1 Reticular Formation 6.9.2 Respiration Centers 6.9.3 Cardiovascular Centers 6.9.4 Deglutition 6.9.5 Vomiting 6.9.6 Emetic Center 6.9.7 Coughing 6.9.8 Taste 6.10 Localiozation of Dysfunction in the Cranial Nerves Associated with the Eye (Table 6.8) 6.11 Localization of Disease Processes in the Brain Stem 6.11.1 Exercise to Identify the Tracts and Nuclei in the Brain Stem (Figs. 6.10–6.14) Bibliography 7 The Cranial Nerves 7.1 How the Cranial Nerves Got Their Numbers 7.2 Functional Organization of Cranial Nerves 7.3 The Individual Cranial Nerves 7.3.1 Cranial Nerve I, Olfactory (Fig. 7.4), Special Sensory/Special Visceral Afferent 7.3.2 Cranial Nerve II, Optic (Fig. 7.5), Special Somatic Sensory 7.3.3 Cranial Nerve III, Oculomotor (Fig. 7.6), Pure Motor (Somatic and Parasympathetic, Only III) 7.3.4 Cranial Nerve IV, Trochlear (Fig. 7.6), Pure Motor 7.3.5 Cranial Nerve VI, Abducens (Fig. 7.6), Pure Motor 7.3.6 Cranial Nerve V, Trigeminal (Fig. 7.7), Mixed Nerve (Sensory and Motor but No Parasympathetic) 7.3.7 Cranial Nerve VII, Facial (Fig. 7.8), Mixed Nerve (Sensory, Motor, Parasympathetic) 7.3.8 Cranial Nerve VIII, Vestibulocochlear (Fig. 7.9), Pure Special Somatic Sensory 7.4 Auditory Pathway 7.4.1 Cranial Nerve IX, Glossopharyngeal (Fig. 7.13), Mixed (Sensory, Motor, Parasympathetic): Nerve to Third Pharyngeal Arch 7.4.2 Cranial Nerve X, Vagus (Fig. 7.14), Mixed (Sensory, Motor, Parasympathetic), and Longest Cranial Nerve 7.4.3 Cranial Nerve XI, Spinal Accessory (Fig. 7.15), Pure Motor: Somatic and Visceral 7.4.4 Cranial Nerve XII, Hypoglossal (Fig. 7.16): Pure Motor Nerve 7.5 Cranial Nerve Dysfunction 7.6 Cranial Nerve Case Histories Bibliography 8 Diencephalon 8.1 Overview 8.2 Functional Organization of Thalamic Nuclei (Table 8.1) 8.2.1 Sensory and Motor Relay Nuclei: The Ventrobasal Complex and Lateral Nucleus 8.2.2 Limbic Nuclei: The Anterior, Medial, Lateral Dorsal, Midline, and Intralaminar Nuclei (Fig. 8.4) 8.2.3 Specific Associational: Polymodal/Somatic Nuclei, the Pulvinar Nuclei (Fig. 8.5) 8.2.4 Special Somatic Sensory Nuclei: Vision and Audition, the Lateral Geniculate and Medial Geniculate Nuclei of the Metathalamus (Fig. 8.5): The Special Somatic Sensory Cranial Nerves Are Cranial Nerves II and VIII 8.2.5 Nonspecific Associational 8.3 White Matter of the Diencephalon 8.4 Relationship Between the Thalamus and the Cerebral Cortex (Figs. 8.7 and 8.8) 8.5 Subthalamus (Fig. 8.3) 8.6 Thalamic Atlas Figs. 8.10, 8.11, and 8.12 8.7 Level: Midbrain, Diencephalic Junction (Fig. 8.10) 8.8 Level: Midthalamus (Fig. 8.11) 8.9 Level: Anterior Tubercle of Thalamus (Fig. 8.12) Bibliography 9 Hypothalamus, Neuroendocrine System, and Autonomic Nervous System 9.1 Hypothalamus 9.1.1 Hypothalamic Nuclei 9.1.2 Afferent Pathways 9.1.3 Efferent Pathways (Fig. 9.6) 9.1.4 Functional Stability 9.2 Neuroendocrine System, the Hypothalamus, and Its Relation to the Hypophysis 9.2.1 Hypophysis Cerebri 9.2.2 Hypothalamic–Hypophyseal Portal System 9.2.3 Hypophysiotrophic Area 9.2.4 Hormones Produced by Hypothalamus 9.2.5 Hormones Produced in Adenohypophysis (Fig. 9.12) 9.2.6 Case 9.1 9.2.7 Hypothalamus and the Autono
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  • 2
    Publication Date: 2013-11-28
    Description: We report a simple technique for mapping Electrostatic Force Microscopy (EFM) bias sweep data into 2D images. The method allows simultaneous probing, in the same scanning area, of the contact potential difference and the second derivative of the capacitance between tip and sample, along with the height information. The only required equipment consists of a microscope with lift-mode EFM capable of phase shift detection. We designate this approach as Scanning Probe Potential Electrostatic Force Microscopy (SPP-EFM). An open-source MATLAB Graphical User Interface (GUI) for images acquisition, processing and analysis has been developed. The technique is tested with Indium Tin Oxide (ITO) and with poly(3-hexylthiophene) (P3HT) nanowires for organic transistor applications. Scientific Reports 3 doi: 10.1038/srep03352
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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  • 3
    Publication Date: 2017-01-25
    Description: Author(s): Th. K. Mavrogordatos, G. Tancredi, M. Elliott, M. J. Peterer, A. Patterson, J. Rahamim, P. J. Leek, E. Ginossar, and M. H. Szymańska We explore the joint activated dynamics exhibited by two quantum degrees of freedom: a cavity mode oscillator which is strongly coupled to a superconducting qubit in the strongly coherently driven dispersive regime. Dynamical simulations and complementary measurements show a range of parameters wher… [Phys. Rev. Lett. 118, 040402] Published Tue Jan 24, 2017
    Keywords: General Physics: Statistical and Quantum Mechanics, Quantum Information, etc.
    Print ISSN: 0031-9007
    Electronic ISSN: 1079-7114
    Topics: Physics
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  • 4
    Publication Date: 2015-09-23
    Description: We have determined experimentally the hydrous phase relations and trace element partitioning behaviour of ocean floor basalt protoliths at pressures and temperatures (3 GPa, 750–1000°C) relevant to melting in subduction zones. To avoid potential complexities associated with trace element doping of starting materials we have used natural, pristine mid-ocean ridge basalt (MORB from Kolbeinsey Ridge) and altered oceanic crust (AOC from Deep Sea Drilling Project leg 46, ~20°N Atlantic). Approximately 15 wt % water was added to starting materials to simulate fluid fluxing from dehydrating serpentinite underlying the oceanic crust. The vapour-saturated solidus is sensitive to basalt K 2 O content, decreasing from 825 ± 25°C in MORB (~0·04 wt % K 2 O) to 750°C in AOC (~0·25 wt % K 2 O). Textural evidence indicates that near-solidus fluids are sub-critical in nature. The residual solid assemblage in both MORB and AOC experiments is dominated by garnet and clinopyroxene, with accessory kyanite, epidote, Fe–Ti oxide and rutile (plus quartz–coesite, phengite and apatite below the solidus). Trace element analyses of quenched silica-rich melts show a strong temperature dependence of key trace elements. In contrast to the trace element-doped starting materials of previous studies, we do not observe residual allanite. Instead, abundant residual epidote provides the host for thorium and light rare earth elements (LREE), preventing LREE from being released (LREE 〈3 ppm at 750–900°C). Elevated Ba/Th ratios, characteristic of many arc basalts, are found to be generated within a narrow temperature field above the breakdown temperature of phengite, but below exhaustion of epidote. Melts with Ba/Th 〉1500 and La/Sm PUM (where PUM indicates primitive upper mantle) ~1, most closely matching the geochemical signal of arc lavas worldwide, were generated from AOC at 800–850°C.
    Print ISSN: 0022-3530
    Electronic ISSN: 1460-2415
    Topics: Geosciences
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  • 5
    Publication Date: 2016-08-03
    Description: The M genome segment of Bunyamwera virus (BUNV)—the prototype of both the Bunyaviridae family and the Orthobunyavirus genus—encodes the glycoprotein precursor (GPC) that is proteolytically cleaved to yield two viral structural glycoproteins, Gn and Gc, and a nonstructural protein, NSm. The cleavage mechanism of orthobunyavirus GPCs and the host proteases...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2016-07-13
    Description: We developed a hierarchical Bayesian model (HBM) to investigate how the presence of Seyfert activity relates to their environment, herein represented by the galaxy cluster mass, M 200 , and the normalized cluster centric distance, r / r 200 . We achieved this by constructing an unbiased sample of galaxies from the Sloan Digital Sky Survey , with morphological classifications provided by the Galaxy Zoo Project . A propensity score matching approach is introduced to control the effects of confounding variables: stellar mass, galaxy colour, and star formation rate. The connection between Seyfert-activity and environmental properties in the de-biased sample is modelled within an HBM framework using the so-called logistic regression technique, suitable for the analysis of binary data (e.g. whether or not a galaxy hosts an AGN). Unlike standard ordinary least square fitting methods, our methodology naturally allows modelling the probability of Seyfert-AGN activity in galaxies on their natural scale, i.e. as a binary variable. Furthermore, we demonstrate how an HBM can incorporate information of each particular galaxy morphological type in an unified framework. In elliptical galaxies our analysis indicates a strong correlation of Seyfert-AGN activity with r / r 200 , and a weaker correlation with the mass of the host cluster. In spiral galaxies these trends do not appear, suggesting that the link between Seyfert activity and the properties of spiral galaxies are independent of the environment.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 7
    Publication Date: 2013-06-08
    Description: All orthobunyaviruses possess three genome segments of single-stranded negative sense RNA that are encapsidated with the virus-encoded nucleocapsid (N) protein to form a ribonucleoprotein (RNP) complex, which is uncharacterized at high resolution. We report the crystal structure of both the Bunyamwera virus (BUNV) N–RNA complex and the unbound Schmallenberg virus (SBV) N protein, at resolutions of 3.20 and 2.75 Å, respectively. Both N proteins crystallized as ring-like tetramers and exhibit a high degree of structural similarity despite classification into different orthobunyavirus serogroups. The structures represent a new RNA-binding protein fold. BUNV N possesses a positively charged groove into which RNA is deeply sequestered, with the bases facing away from the solvent. This location is highly inaccessible, implying that RNA polymerization and other critical base pairing events in the virus life cycle require RNP disassembly. Mutational analysis of N protein supports a correlation between structure and function. Comparison between these crystal structures and electron microscopy images of both soluble tetramers and authentic RNPs suggests the N protein does not bind RNA as a repeating monomer; thus, it represents a newly described architecture for bunyavirus RNP assembly, with implications for many other segmented negative-strand RNA viruses.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
    Publication Date: 2015-05-15
    Description: Methane is an important greenhouse gas but characterizing production by source sector has proven difficult. Current estimates suggest herbivores produce ~20% (~76-189 Tg yr −1 ) of methane globally, with wildlife contributions uncertain. We develop a simple and accurate method to estimate methane emissions and reevaluate production by wildlife. We find a strikingly robust relationship between body mass and methane output exceeding the scaling expected by differences in metabolic rate. Our allometric model gives a significantly better fit to empirical data than IPCC Tier 1 and 2 calculations. Our analysis suggests that: a) the allometric model provides an easier and more robust estimate of methane production than IPCC models currently in use, b) output from wildlife is much higher than previously considered, and c) because of the sublinear allometric scaling of methane output with body mass, national emissions could be reduced if countries favored more, smaller livestock, over fewer, larger ones. This article is protected by copyright. All rights reserved.
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley
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  • 9
    Publication Date: 2014-11-05
    Description: Langmuir DOI: 10.1021/la503313n
    Print ISSN: 0743-7463
    Electronic ISSN: 1520-5827
    Topics: Chemistry and Pharmacology
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  • 10
    Publication Date: 2016-05-28
    Description: Encapsulation of therapeutic molecules within polymer particles is a well-established method for achieving controlled release, yet challenges such as low loading, poor encapsulation efficiency, and loss of protein activity limit clinical translation. Despite this, the paradigm for the use of polymer particles in drug delivery has remained essentially unchanged for several decades. By taking advantage of the adsorption of protein therapeutics to poly(lactic-co-glycolic acid) (PLGA) nanoparticles, we demonstrate controlled release without encapsulation. In fact, we obtain identical, burst-free, extended-release profiles for three different protein therapeutics with and without encapsulation in PLGA nanoparticles embedded within a hydrogel. Using both positively and negatively charged proteins, we show that short-range electrostatic interactions between the proteins and the PLGA nanoparticles are the underlying mechanism for controlled release. Moreover, we demonstrate tunable release by modifying nanoparticle concentration, nanoparticle size, or environmental pH. These new insights obviate the need for encapsulation and offer promising, translatable strategies for a more effective delivery of therapeutic biomolecules.
    Electronic ISSN: 2375-2548
    Topics: Natural Sciences in General
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