The Cambridge Handbook of Intelligence and Cognitive Neuroscience

This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence.

Aron K. Barbey (Edited by), Sherif Karama (Edited by), Richard J. Haier (Edited by)

9781108727723, Cambridge University Press

Paperback / softback, published 11 November 2021

600 pages
25.3 x 17.6 x 2.6 cm, 0.958 kg

'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

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.

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.

Subject Areas: Neurosciences [PSAN], The self, ego, identity, personality [JMS], Cognition & cognitive psychology [JMR], Research methods: general [GPS]