Pulsatility is now recognized as a nearly ubiquitous functional feature of neuroendocrine systems. This volume presents a comprehensive guide to the established and emerging technologies being used to study the perplexing phenomenon of pulsatility. Molecular, cellular, physiological, and mathematical approaches are described in detail. - In vitro methods for studying neuroendocrine pulsatility - In vivo sampling and recording procedures for monitoring pulsatility in several species - Improved quantitative and analytical methods for the study of hormone pulsatility

The role of electrical signalling in the control of endocrine secretions by the brain has been clear for many years. Recently, the influences of hormones on synthetic events in neuroendocrine cells have raised new questions concerning the peptides released from such neurons. This volume concentrates on the relation between these two fields and asks how electrical action potentials facilitate secretion of substances from nerve cells which control endocrine events. While stimulus-secretion coupling has been studied extensively in other physiological contexts, this is the first treatment of the phenomenon in an exclusively neuroendocrine setting.

Neurophysiology of Neuroendocrine Neurons provides researchers and students with not only an understanding of neuroendocrine cell electrophysiology, but also an appreciation of how this model system affords access to virtually all parts of the neuron for detailed study - something unique compared to most types of neuron in the brain. Chapters range from those describing the rich history and current state of in vivo recordings, highlighting the precise relationship between the patterns of action potential discharge in these neurons and hormone release, to in vitro approaches where neuroendocrine neurons can be precisely identified and their membrane properties, morphology, and synaptic responses, directly examined. • Written by a team of internationally renowned researchers, each chapter presents a succinct summary of the very latest developments in the field • Includes an evaluation of different experimental approaches, both in vivo and in vitro, and how the resulting data are interpreted • Both print and enhanced e-book versions are available • Illustrated in full colour throughout This is the first volume in a new Series ‘Masterclass in Neuroendocrinology’ , a co- publication between Wiley and the INF (International Neuroendocrine Federation) that aims to illustrate highest standards and encourage the use of the latest technologies in basic and clinical research and hopes to provide inspiration for further exploration into the exciting field of neuroendocrinology.

Using a multidisciplinary approach, it combines anatomical, cellular and physiological studies by preeminent experts. Features important insights into the function of the hypothalamus.

The Encyclopedia of the Neuroscience explores all areas of the discipline in its focused entries on a wide variety of topics in neurology, neurosurgery, psychiatry and other related areas of neuroscience. Each article is written by an expert in that specific domain and peer reviewed by the advisory board before acceptance into the encyclopedia. Each article contains a glossary, introduction, a reference section, and cross-references to other related encyclopedia articles. Written at a level suitable for university undergraduates, the breadth and depth of coverage will appeal beyond undergraduates to professionals and academics in related fields.

Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information

In this book, experts in the field provide comprehensive descriptions of the neuroanatomy of the hypothalamic neuroendocrine systems. The book begins with an extensive discussion on the structural components of the neuroendocrine systems. The reader will be introduced to the anatomy and biology of the hypothalamus and the pituitary. The human hypothalamus is presented in particular detail using state-of-the-art imaging techniques. In the next section, the neuroanatomy of traditional hypothalamo-hypophyseal systems is highlighted, with chapters describing magnocellular neuroendocrine cells and discussing the respective types of hypothalamic neurons that regulate various pituitary hormones. Following this detailed structural and anatomical description of the neuroendocrine system, the book’s final section focuses on the hypothalamic control of neuroendocrine functions. This includes the control of circadian rhythm, metabolism and appetite via specific peptidergic circuits. This book provides essential information on the neuroanatomy and control of neuroendocrine systems, addresses cutting-edge research questions posed by recent advances in the development of potent neuroanatomical tools, and highlights the latest technologies used in neuroendocrinology research, making it a valuable reference guide for students, trainees and established researchers alike. This is the twelfth volume in the International Neuroendocrine Federation (INF) Masterclass in Neuroendocrinology series, which aims to illustrate the highest standards and to encourage the use of the latest technologies in basic and clinical research and hopes to provide inspiration for further exploration into the exciting field of neuroendocrinology. Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Biosimulation is an approach to biomedical research and the treatment of patients in which computer modeling goes hand in hand with experimental and clinical work. Constructed models are used to interpret experimental results and to accumulate information from experiment to experiment. This book explains the concepts used in the modeling of biological phenomena and goes on to present a series of well-documented models of the regulation of various genetic, cellular and physiological processes. The way how the use of computer models allows optimization of cancer treatment for individual patients is discussed and models of interacting nerve cells that can be used to design new treatments for patients with Parkinson's disease are explained. Furthermore this volume provides an overview on the use of models in industry, and presents the view of regulatory agencies on the topic.

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.