Molecular Genetic And Statistical Techniques For Behavioral And Neural Research

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior Written and edited by leading international experts

The book gives a broad overview of recombinant DNA techniques for the behavioral neuroscientist, with illustrative examples of applications. Species covered include rodents (mainly mice), Drosophila melanogaster, Caenorhabditis elegans and Danio rerio. Experimental techniques required to characterize the behavioral phenotypes of mutant animals is provided. Several aspects of novel molecular-genetic techniques are overviewed and possible research strategies are explained. The sections of the book start with general descriptions of techniques followed by illustrative examples. It is divided into six sections. Section 1, bioinformatics and genomics research. Section 2, top-down strategies, where the researcher starts with the phenotype and then analyzes the associated genes; bottom-up strategies, where the physiological chain leading to a phenotype is analyzed starting from the gene product. Section 3, transgenic approaches in rodents including overexpressing foreign genes and gene-targeting; systemic manipulation approaches directly targeting the central nervous system and methods used with invertebrates. Section 4, methods used to evaluate relevant behavioral phenotypes, including learning and aggression. Section 5, examples on molecular brain research in man. Section 6, ethical aspects of research in this field.

Behavioral and Neural Genetics of Zebrafish assembles the state-of-the-art methodologies and current concepts pertinent to their neurobehavioral genetics. Discussing their natural behavior, motor function, learning and memory, this book focuses on the fry and adult zebrafish, featuring a comprehensive account of modern genetic and neural methods adapted to, or specifically developed for, Danio rerio. Numerous examples of how these behavioral methods may be utilized for disease models using the zebrafish are presented, as is a section on bioinformatics and "big-data" related questions. Provides the most comprehensive snapshot of the fast-evolving zebrafish neurobehavior genetics field Describes behavioral, genetic and neural methods and concepts for use in adult and larval zebrafish Features examples of zebrafish models of human central nervous system disorders Discusses bioinformatics questions pertinent to zebrafish neurobehavioral genetics

Neurobehavioral Genetics: Methods and Applications covers classic and contemporary approaches to the study of the brain and behavior, including basic and clinical research. This book is designed as a reference for investigators wishing to incorporate genetic methods into neurobehavioral research. A broad spectrum of methods are integrated, unlike any other publication currently in print. Neurobehavioral Genetics: Methods and Applications presents different models, from invertebrates to genetically defined mammals. Introductory chapters demonstrate the scope and power of genetic methods that can be applied to neurobehavioral research from statistical methods and linkage analysis to contemporary molecular genetic approaches to search for candidate genes. The second half of the book covers the applications of quantitative and molecular genetics in basic and clinical research. Topics covered include animal behavior and neurobiology and human clinical problems including neurodegenerative diseases and psychiatric disorders.

Social stress has emerged as a research front in the neurosciences, and this volume highlights recent insights in brain mechanisms and methodological advances. The topics range from the evolutionary origins of coping with social challenges to neural mechanism-driven focus on novel treatment targets. The parallel presentation of work with animal models and human subjects is bound to be useful to a broad research community.

Despite the prevalence of behavioral research conducted through genetic studies, there is an absence of literature pertaining to the genetics of motor behavior. Genetics and the Psychology of Motor Performance is the first book to integrate cutting-edge genetic research into the study of the psychological aspects of motor learning and control. The book’s central line of enquiry revolves around the extent to which psychological factors central to motor proficiency – including personality, emotion, self-regulation, motivation, and perceptual-cognitive skills – are acquired or inherited. It explains how these factors affect motor performance, distilling the latest research into their genetic underpinnings and, in doing so, assessing the magnitude of the role genetics plays in the stages of motor development, from early proficiency through to expertise. Written by leading experts in the genetics of human performance and exercise psychology, and thoroughly illustrated throughout, Genetics and the Psychology of Motor Performance is a crucial resource for any upper-level student or researcher seeking a deeper understanding of motor learning. It is an important book for anyone studying or working in exercise psychology, motor development, exercise genetics, or exercise physiology more broadly.

Translational research in oncology benefits from an abundance of knowledge resulting from genome-scale studies concerning the molecular pathways involved in tumorigenesis. Translational oncology represents a bridge between basic research and clinical practice in cancer medicine. The vast majority of cancer cases are due to environmental risk factors. Many of these environmental factors are controllable lifestyle choices. Experimental cancer treatments are studied in clinical trials to compare the proposed treatment to the best existing treatment through translational research. The key features of the book include: 1) New screening for the development of radioprotectors: radioprotection and anti-cancer effect of β-Glucan (Enterococcus faecalis) 2) Translational perspective on hepatocellular carcinoma 3) Brachytherapy for endometrial cancer 4) Discovery of small molecule inhibitors for histone methyltransferases in cancer

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.