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The Cambridge Handbook of Intelligence and Cognitive Neuroscience

The Cambridge Handbook of Intelligence and Cognitive Neuroscience

$89.99 (P)

Thomas R. Coyle, Kirsten Hilger, Olaf Sporns, Kenia Martínez, Roberto Colom, Budhachandra Khundrakpam, J. B. Poline, Alan Evans, Matthew J. Euler, Ty L. McKinney, Aron K. Barbey, Rogier A. Kievit, Ivan L. Simpson-Kent, Joseph P. Hennessee, Denise C. Park, Christine Ahrends, Peter Vuust, Morten L. Kringelbach, Erhan Genç, Christoph Fraenz, Stefan Drakulich, Sherif Karama, Ulrike Basten, Christian J. Fiebach, Jessica R. Cohen, Mark D'Esposito, Rex E. Jung, Marwa O. Chohan, Naftali Raz, Jeffrey A. Stanley, Kevin M Anderson, Avram J Holmes, Emily A. Willoughby, James J. Lee, Michael I. Posner, Mary K. Rothbart, Shira Cohen-Zimerman, Carola Salvi, Jordan Grafman, Kathryn Asbury, Diana Fields, Robert J. Sternberg, Jonathan Wai, Drew H. Bailey
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  • Publication planned for: February 2021
  • availability: Not yet published - available from February 2021
  • format: Paperback
  • isbn: 9781108727723

$ 89.99 (P)
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About the Authors
  • This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.

    • Summarizes fundamental issues in the characterization and measurement of general intelligence, and evaluates multidisciplinary research consortia and large-scale data repositories for the study of general intelligence
    • Provides a systematic review of neuroimaging methods for studying intelligence, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging
    • Maps out predictive modeling approaches to the study of human intelligence
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    Reviews & endorsements

    'This exciting book makes an elegant case that human intelligence is not the result of a test. It is the consequence of a brain. Drawing on state-of-the-art imaging methods, the reader is afforded a comprehensive view of the substrates enabling our most valued mental abilities.' Scott T. Grafton, Bedrosian-Coyne Presidential Chair in Neuroscience and Director of the Brain Imaging Center, University of California at Santa Barbara

    'Our scientific understanding of human intelligence has advanced greatly over the past decade in terms of measurement, modelling, and the human brain. This book provides an excellent analysis of current findings and theories written by top international authors. It should be recommended to students and professionals working in this field.' Sarah E. MacPherson, Senior Lecturer in Human Cognitive Neuroscience, University of Edinburgh

    'This handbook focuses on the brain, but also integrates genetics and cognition. Come for a comprehensive brain survey and get the bonus of a panoramic foreshadowing of integrated intelligence research and applications.' Douglas K. Detterman, Louis D. Beaumont University Professor Emeritus of Psychological Sciences, Case Western Reserve University

    'This handbook captures the conceptualization and measurement of intelligence, which is one of psychology’s greatest achievements. It shows how the advent of modern imaging techniques and large-scale data sets have added to our knowledge about brain-environmental-ability relationships and highlights the controversy in this rapidly expanding field.' Diane F. Halpern, Professor of Psychology, Emerita, Claremont McKenna College

    'This handbook assembles an impressive group of pioneers and outstanding young researchers at the forefront of intelligence neuroscience. The chapters summarize the state of the field today and foreshadows what it might become.' Lars Penke, Professor of Psychology, Georg August University of Göttingen

    'This book is a tribute to its topic. It is intelligently assembled, spanning all aspects of intelligence research and its applications. The authors are distinguished experts, masterfully summarising the latest knowledge about intelligence obtained with cutting-edge methodology. If one wants to learn about intelligence, this is the book to read.' Yulia Kovas, Professor of Genetics and Psychology, Goldsmiths University of London

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    Product details

    • Publication planned for: February 2021
    • format: Paperback
    • isbn: 9781108727723
    • dimensions: 254 x 178 mm
    • availability: Not yet published - available from February 2021
  • Table of Contents

    Part I. Fundamental Issues:
    1. Defining and Measuring Intelligence – The Psychometrics and Neuroscience of G Thomas R. Coyle
    2. Network Neuroscience Methods for Studying Intelligence Kirsten Hilger and Olaf Sporns
    3. Imaging the Intelligence of Humans Kenia Martínez and Roberto Colom
    4. Research Consortia and Large-Scale Data Repositories for Studying Intelligence Budhachandra Khundrakpam, J B Poline, and Alan Evans
    Part II. Theories, Models, and Hypotheses:
    5. Evaluating the Weight of the Evidence – Cognitive Neuroscience Theories of Intelligence Matthew J. Euler and Ty L. McKinney
    6. Human Intelligence and Network Neuroscience Aron K. Barbey
    7. It's About Time – Toward a Longitudinal Cognitive Neuroscience of Intelligence Rogier A. Kievit and Ivan L. Simpson-Kent
    8. A Lifespan Perspective on the Cognitive Neuroscience of Intelligence Joseph P. Hennessee and Denise C. Park
    9. Predictive Intelligence for Learning and Optimization – Multidisciplinary Perspectives from Social, Cognitive and Affective Neuroscience Christine Ahrends, Peter Vuust, and Morten L. Kringelbach
    Part III. Neuroimaging Methods and Findings:
    10. Structural and Diffusion-Weighted Imaging of Intelligence Erhan Genç and Christoph Fraenz
    11. Structural Neuroimaging of Intelligence Differences Stefan Drakulich and Sherif Karama
    12. Functional Brain Imaging of Intelligence Ulrike Basten and Christian J. Fiebach
    13. An Integrated, Dynamic Functional Connectome Underlies Intelligence Jessica R. Cohen and Mark D'Esposito
    14. Biochemical Correlates of Intelligence Rex E. Jung and Marwa O. Chohan
    15. Good Sense and Good Chemistry: Neurochemical Correlates of Cognitive Performance Assessed in Vivo through Magnetic Resonance Spectroscopy Naftali Raz, Jeffrey A. Stanley
    Part IV. Predictive Modeling Approaches:
    16. Predicting Individual Differences in Cognitive Ability from Brain Imaging and Genetics Kevin M Anderson and Avram J Holmes
    17. Predicting Cognitive-Ability Differences from Genetic and Brain-Imaging Data Emily A. Willoughby and James J. Lee
    Part V. Translating Research on the Neuroscience of Intelligence into Action:
    18. Enhancing Cognition Michael I. Posner and Mary K. Rothbart
    19. Patient-Based Approaches to Understanding Intelligence and Problem-Solving Shira Cohen-Zimerman, Carola Salvi, and Jordan Grafman
    20. Implications of Biological Research on Intelligence for Education and Public Policy Kathryn Asbury and Diana Fields
    21. Vertical and Horizontal Levels of Analysis in the Study of Human Intelligence Robert J. Sternberg
    22. How Intelligence Research Can Inform Education and Public Policy Jonathan Wai and Drew H. Bailey.

  • Editors

    Aron K. Barbey, University of Illinois, Urbana-Champaign
    Aron K. Barbey is Professor of Psychology, Neuroscience, and Bioengineering at the University of Illinois at Urbana-Champaign. He directs the Center for Brain Plasticity, the Intelligence, Learning, and Plasticity Initiative, and the Decision Neuroscience Laboratory at the Beckman Institute for Advanced Science and Technology.

    Sherif Karama, McGill University, Montréal
    Sherif Karama is a psychiatrist with a PhD in neuroscience and Assistant Professor in the Department of Psychiatry of McGill University. He also completed a five-year postdoctoral fellowship in Brain Imaging of Cognitive Ability Differences at the Montreal Neurological Institute.

    Richard J. Haier, University of California, Irvine
    Richard J. Haier is Professor Emeritus in the School of Medicine at the University of California at Irvine, and Editor-in-Chief of Intelligence, a scientific journal. He received the Lifetime Achievement Award from the International Society for Intelligence Research (2020).

    Contributors

    Thomas R. Coyle, Kirsten Hilger, Olaf Sporns, Kenia Martínez, Roberto Colom, Budhachandra Khundrakpam, J. B. Poline, Alan Evans, Matthew J. Euler, Ty L. McKinney, Aron K. Barbey, Rogier A. Kievit, Ivan L. Simpson-Kent, Joseph P. Hennessee, Denise C. Park, Christine Ahrends, Peter Vuust, Morten L. Kringelbach, Erhan Genç, Christoph Fraenz, Stefan Drakulich, Sherif Karama, Ulrike Basten, Christian J. Fiebach, Jessica R. Cohen, Mark D'Esposito, Rex E. Jung, Marwa O. Chohan, Naftali Raz, Jeffrey A. Stanley, Kevin M Anderson, Avram J Holmes, Emily A. Willoughby, James J. Lee, Michael I. Posner, Mary K. Rothbart, Shira Cohen-Zimerman, Carola Salvi, Jordan Grafman, Kathryn Asbury, Diana Fields, Robert J. Sternberg, Jonathan Wai, Drew H. Bailey

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