Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

1st Edition - April 24, 2018

Write a review

  • Editor: Robert T. Gerlai
  • Hardcover ISBN: 9780128040782
  • eBook ISBN: 9780128041161

Purchase options

Purchase options
DRM-free (Mobi, EPub, PDF)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order


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.

Key Features

  • 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


Neuroscientists, biomedical researchers, grad students, postdocs

Table of Contents

  • Section I: Neuroinformatics, Computational Models and Data Analysis
    1. Neurological Biomarkers and NeuroInformatics: The Role of The Virtual Brain
    2. Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases
    3. The Allen Brain Atlas: Towards understanding brain behavior and function through data acquisition, visualization, analysis and integration
    4. ExAtlas: On-line tool to integrate gene expression and gene set enrichment analyses
    5. Computational Models: How do they help to understand neurological diseases?
    6. The Use of Recombinant Inbred Strains in Systems Genetics and Functional Analyses in Behavioral Pharmacology
    Section II. Searching for New Genes: Natural Genetic Variation
    7. Spontaneous versus induced mutations: Conceptual and methodological considerations for the neurobehavioral geneticist
    8. Reduced complexity cross design for behavioral genetics
    9. Collaborative Cross as the next-generation mouse genetic reference population designed for dissecting complex traits
    10. Discovery of novel genes and other lineage-specific features through comparative genomics
    11. Using signatures of directional selection to guide discovery
    Section III: Discovery of New Genes and New Functions of Genes Using Gene Expression Analyses
    12. Using Transcriptomics to Study Behavior
    13. Genes, Behavior and Next-Generation Sequencing – The First Ten Years
    14. Abnormal social behaviors and dysfunction of autism-related genes associated with daily agonistic interactions in mice
    15. Epigenetic mechanisms of learning and memory
    Section IV: Discovery of Genes and Biological Mechanisms: Forward Genetics and Other Screening-Based Methods
    16. Systematic screens in zebrafish shed light on cellular and molecular mechanisms of complex brain phenotypes
    17. The transition of zebrafish functional genetics from random mutagenesis to targeted integration
    Section V: Manipulating Known Genes to Understand Biological Function: Reverse Genetics
    18. Molecular Techniques Used to Explore Glutamate Receptors in Synaptic Plasticity and Memory
    19. Using Herpes Simplex Virus Type-1-Based Amplicon Vectors for Neuroscience Research and Gene Therapy of Neurological Diseases
    20. Cre-lox neurogenetics: history, present and future
    21. Functional Analysis of Proteins Involved in Neurodegeneration Using the Model Organism Dictyostelium: Alzheimer’s, Huntington’s and Batten Disease
    22. The role of human endogenous retroviruses (HERVs) in the pathologies of nervous system
    23. Optogenetics dissection of sleep circuits and functions
    24. The use of DREADDs for dissecting the contribution of cellular and neural circuit mechanisms in models of neurodegenerative disease
    Section VI: Ethical Considerations
    25. Genes and human behavior: Ethical implications
    26. Ethical Considerations for Animal use in Behavioral and Neural Research


Product details

  • No. of pages: 708
  • Language: English
  • Copyright: © Academic Press 2018
  • Published: April 24, 2018
  • Imprint: Academic Press
  • Hardcover ISBN: 9780128040782
  • eBook ISBN: 9780128041161

About the Editor

Robert T. Gerlai

Robert T. Gerlai
Dr. Gerlai received his Ph.D. from the Hungarian Academy of Sciences with the highest distinction in 1989. He has held numerous academic positions in Europe and North America (Eötvös University of Budapest, Mount Sinai Hospital Research Institute of Toronto, Indiana University Purdue University Indianapolis, University of Hawaii Honolulu), and he also held leadership positions in the US biotechnology and biopharmaceutical research industry working as a senior research scientist and Vice President (Genentech Inc. South San Francisco, Eli Lilly & Co. Indianapolis, Saegis Pharma Half Moon Bay) before joining the University of Toronto in 2004, where he is currently full professor at the Department of Psychology. Dr. Gerlai has published over 200 papers in peer reviewed scientific journals and books with a cumulative citation number over 12000 and an H index of 55. He is member of editorial boards of PLOS ONE, Learning and Behavior, Genes Brain and Behaviour, Neurotoxicology and Teratology. He is Associate Editor of Frontiers in Genetics of Complex Traits, Review Editor for Frontiers in Neuroscience and Section Editor for BioMedCentral Neuroscience. He has edited several special issues of scientific journals and served as co-editor of handbooks on molecular genetic approaches in behavioural neuroscience. He is founding member of the International Behavioral and Neural Genetics Society, IBANGS. He was the president of the International Behavioral Neuroscience Society (IBNS) in 2007 and 2008, and he has been elected Fellow of this Society since 2005. He received the Distinguished Scientist Award from IBANGS in 2013 and the John Wiley Distinguished Speaker Award from the International Society of Developmental Psychobiology in 2014. In 2015, he was awarded the University of Toronto Mississauga Excellence in Research Award. Dr. Gerlai’s research focusses on the biological and genetic mechanisms of behaviour. For the past fourteen years his research at University of Toronto has been using zebrafish employing behavioural phenotyping, psychopharmacological and genetic methods to study mechanisms of alcohol abuse, fetal alcohol spectrum disorders, and of learning and memory. His laboratory has been funded by NIH, NSERC and Brain Canada.

Affiliations and Expertise

Department of Psychology, University of Toronto Mississauga, Mississauga, Ontario, Canada

Ratings and Reviews

Write a review

There are currently no reviews for "Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research"