Development of Mathematical Cognition
Neural Substrates and Genetic Influences
- 1st Edition, Volume 2 - October 3, 2015
- Imprint: Academic Press
- Editors: Daniel B. Berch, David C. Geary, Kathleen Mann Koepke
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 0 1 8 7 1 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 1 9 0 9 - 2
Development of Mathematical Cognition: Neural Substrates and Genetic Influences reviews advances in extant imaging modalities and the application of brain stimulation technique… Read more
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Request a sales quoteDevelopment of Mathematical Cognition: Neural Substrates and Genetic Influences reviews advances in extant imaging modalities and the application of brain stimulation techniques for improving mathematical learning. It goes on to explore the role genetics and environmental influences have in the development of math abilities and disabilities.
Focusing on the neural substrates and genetic factors associated with both the typical and atypical development of mathematical thinking and learning, this second volume in the Mathematical Cognition and Learning series integrates the latest in innovative measures and methodological advances from the top researchers in the field.
- Provides details about new progress made in the study of neural correlates of numerical and arithmetic cognition
- Addresses recent work in quantitative and molecular genetics
- Works to improve instruction in numerical, arithmetical, and algebraic thinking and learning
- Informs policy to help increase the level of mathematical proficiency among the general public
Academics/researchers, graduate and undergraduate students specializing in the following disciplines: cognitive psychology; infant cognition; cognitive neuroscience; behavioral genetics; educational psychology; early childhood education; and special education.
Chapter 1: Introduction: How the Study of Neurobiological and Genetic Factors Can Enhance Our Understanding of Mathematical Cognitive Development
- Abstract
- Introduction
- Neurobiological Perspectives on Mathematical Cognitive Development
- Using Neuroimaging Methods to Study Children's Mathematical Development
- Mathematical Cognition and Development: Brain Structure and Function
- Brain Imaging Methods Used in Studying Mathematical Cognitive Development
- Criticisms of fMRI
- How Brain Imaging Can Advance Cognitive Theorizing
- Behavioral and Neuro-genetics of Mathematical Cognition
- Interpretive Challenges
- Behavioral Genetics in the Age of Molecular Genetics and Neuroscience
- Summary and Conclusions
Part I: Neural substrates
Chapter 2: Number Symbols in the Brain
- Abstract
- Acknowledgments
- Introduction
- Which Brain Regions Are Engaged During the Processing of Numerical Symbols?
- Numerical Symbols in the Brain—Evidence from Developmental Studies
- Perceptual Representation of Number Symbols in the Brain
- Are Symbolic and Nonsymbolic Quantity Representations Linked in the Brain?
- Differences in Cardinal and Ordinal Processing of Number Symbols in the Brain
- Conclusions and Future Directions
Chapter 3: Neural and Behavioral Signatures of Core Numerical Abilities and Early Symbolic Number Development
- Abstract
- Acknowledgments
- Introduction
- Two Systems for Nonverbal Numerical Cognition
- The Cognitive Neuroscience of Two Core Systems of Number
- The Relationship Between Core Systems and Symbolic Number Abilities
- Conclusions
Chapter 4: A Neurodevelopmental Perspective on the Role of Memory Systems in Children’s Math Learning
- Abstract
- Acknowledgments
- Introduction
- Development of Memory-Based Strategies in Children’s Mathematics Learning
- Declarative Memory and Its Development
- Medial Temporal Lobe Memory System
- Memory Processes in the Context of Mathematics Learning
- Children Engage the MTL Memory System Differently Than Adults
- Individual Differences in Children’s Retrieval Strategy Use Are Associated with the MTL
- Decoding Brain Activity Patterns Associated with Counting and Retrieval Strategies
- Hippocampal-Prefrontal Cortex Circuits and Their Role in Children’s Mathematics Learning
- Longitudinal Changes in MTL Response, Representations and Connectivity Associated with Memory-Based Retrieval
- Why Adults May Not Rely on MTL Memory Systems for Mathematics Performance and Learning
- Conclusions
Chapter 5: Finger Representation and Finger-Based Strategies in the Acquisition of Number Meaning and Arithmetic
- Abstract
- Introduction
- Fingers in Numerical and Arithmetic Processing
- Finger-Based Strategies and Operation-Specific Processes
- Future Directions
- Conclusions
Chapter 6: Neurocognitive Architectures and the Nonsymbolic Foundations of Fractions Understanding
- Abstract
- Acknowledgments
- Introduction
- Fundamental Limitations of the Human Cognitive Architecture
- A Competing View: The Ratio Processing System
- How the RPS May Influence Fraction Learning
- Emerging Behavioral and Neuroimaging Evidence for RPS Model Predictions
- Open Questions
- Charting the Development and Architecture of the RPS
- Leveraging the RPS to Support Fraction Learning
- RPS and Dyscalculia?
- Summary and Conclusions
Chapter 7: Developmental Dyscalculia and the Brain
- Abstract
- Introduction
- Developmental Dyscalculia
- Conclusions and Future Directions
Chapter 8: Neurocognitive Components of Mathematical Skills and Dyscalculia
- Abstract
- Introduction
- Accessing Quantity Representations
- Working Memory: The Role of Serial Order
- Executive Functions
- Discussion and Conclusions
Chapter 9: Individual Differences in Arithmetic Fact Retrieval
- Abstract
- Introduction
- Development and Measurement of Arithmetic Fact Retrieval
- Neurocognitive Determinants of Individual Differences in Arithmetic Fact Retrieval
- Neural Correlates of Arithmetic Fact Retrieval
- Conclusions and Future Directions
Chapter 10: Transcranial Electrical Stimulation and the Enhancement of Numerical Cognition
- Abstract
- Introduction
- Principles and Limitations of tES Experiments
- Evidence of tES-Induced Enhancement of Numerical Cognition
- Evidence of tES-Induced Enhancements in Dysfunctional Numerical Cognition
- The To-Do List
- Conclusions
Part II: Genetic Influences
Chapter 11: Individual Differences in Mathematics Ability: A Behavioral Genetic Approach
- Abstract
- Acknowledgment
- Introduction
- Introduction to Quantitative Genetics
- Etiology of Individual Differences in Mathematics
- Etiology of the Links between Mathematics Ability and Other Traits
- Mathematical Development
- Molecular Genetic Studies of Mathematics
- Neurobiological Mechanisms
- Conclusions
Chapter 12: Genetic Syndromes as Model Pathways to Mathematical Learning Difficulties: Fragile X, Turner, and 22q Deletion Syndromes
- Abstract
- Acknowledgments
- Introduction
- Syndromes as Models of MLD
- Conclusions
- Edition: 1
- Volume: 2
- Published: October 3, 2015
- Imprint: Academic Press
- No. of pages: 414
- Language: English
- Hardback ISBN: 9780128018712
- eBook ISBN: 9780128019092
DB
Daniel B. Berch
Daniel B. Berch is Professor of Educational Psychology and Applied Developmental Science at the University of Virginia’s Curry School of Education. Prior to this position, he was Associate Dean for Research and Faculty Development at the Curry School. Before coming to the University of Virginia, Professor Berch served as Associate Chief of the Child Development and Behavior Branch at the National Institute of Child Health and Human Development, NIH. His previous federal service included a year spent as a Senior Research Associate at the U. S. Department of Education, advising the Assistant Secretary for Educational Research and Improvement. Professor Berch is a cognitive developmental psychologist with interests ranging from the development of numerical cognition and mathematical learning disabilities (MLD) to evolutionary perspectives on education. He has published articles on children’s magnitude representations, the development of number sense, and the role of working memory in MLD. He is senior editor of the book, Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (co-edited by Michele Mazzocco).
Among other honors, he received the NIH Award of Merit, was elected Fellow of the American Psychological Association’s Division of Experimental Psychology, served as an ex officio member of the U.S. Department of Education’s National Mathematics Advisory Panel commissioned by President George W. Bush, was elected to the Evolution Institute’s Scientific Advisory Board (and chair’s its Education Subcommittee), was appointed to the AIM Academy’s Research Advisory Board, and served as a member of the Professional Advisory Board of the National Center for Learning Disabilities for six years. During the past several years, Professor Berch has been working on the implications of evolutionary theory for educational research and practice, publishing a book chapter on instructing evolved minds, serving as one of the Evolution Institute’s primary organizers of a 2013 conference on evolutionary perspectives in educational research funded by the American Educational Research Association, and is co-author (with David Geary) of an article entitled “Evolutionary Approaches to Understanding Children’s Academic Achievement” to be published in Wiley’s forthcoming online reference work, Emerging Trends in the Social and Behavioral Sciences.
Affiliations and expertise
University of Virginia, Charlottesville, VA, USADG
David C. Geary
David C. Geary is a cognitive developmental and evolutionary psychologist at the University of Missouri. He has wide ranging interests but his primary areas of research and scholarly work are children’s mathematical cognition and learning and Darwin’s sexual selection as largely but not solely related to human sex differences.
Professor Geary directed a 10-year longitudinal study of children’s mathematical development from kindergarten to ninth grade, with a focus on identifying the core deficits underlying learning disabilities and persistent low achievement in mathematics. The study was funded by the National Institutes of Health (US), including through a MERIT award to professor Geary. One result has been the identification of the school-entry number knowledge that predicts economically-relevant mathematical competencies in adolescence. As a follow-up, professor Geary is directing a second longitudinal study, funded by the National Science Foundation (US), to identify the preschool quantitative competencies that predict this school-entry number knowledge. Professor Geary has also published conceptual and theoretical articles on individual differences in children’s mathematical learning, as well as a book published by the American Psychological Association, Children’s mathematical development (1994); recently translated into Korean. Professor Geary has also contributed to applied and policy related work on this topic, serving, for instance, on the President’s National Mathematics Advisory Panel, and chairing it’s learning processes task group.
Professor Geary’s interests in evolution are reflected in two of his other books published by the American Psychological Association, The origin of mind: Evolution of brain, cognition, and general intelligence (2005), and Male, female: The evolution of human sex differences (1998, 2010 second edition). The corresponding empirical work ranges from the study of changes in brain volume during hominid evolution to human mate choices to hormonal responses to simulated (video game) competition. Professor Geary’s current interests in this area follow from several of his collaborative studies on the effects of prenatal toxin exposure on sex differences in cognition and behavior in mice. Specifically, traits related to Darwin’s sexual selection are often exaggerated relative to other traits. These would include, for example, the bright plumage of the males of many species of bird that in turn is a good indicator of their behavioral and genetic health. These traits are particularly sensitive to environmental disruption, even in healthy individuals. Professor Geary’s in progress book, The evolution of vulnerability, is focused on these traits in humans and how they can be used to identify at-risk populations and individuals.
Affiliations and expertise
University of Missouri, Columbia, MO, USAKM
Kathleen Mann Koepke
Kathleen Mann Koepke, Ph.D., is Director of the Math and Science Cognition and Learning, Development & Disorders Program in the Child Devlopment and Behavior Branch (CDBB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Rockville, MD ([email protected]).
Dr. Mann Koepke oversees a research program focused on developing and supporting research and training initiatives to increase knowledge relevant to the development of math and science cogniton, reasoning, knowledge, and abilities, both in animals and in humans from birth through all years of formal education in diverse learners with and without disabilities. This research focus recently lead to her serving as co-Guest Editor of a special journal issue regarding the co-occurrence of math and reading disabilities (Mann Koepke, K and Miller, B. (Eds.) At the Intersection of Math & Reading Disabilities. Journal of Learning Disabilities. 2013: 46(6)).
She is a lifecourse developmental cognitive neuroscientist/psychologist with a passion to serve the cognitively challenged and/or disabled via promoting new and innovative basic research and theoretically-grounded evidence-based intervention strategies to maximuze function. Dr. Mann Koepke has served in the Division of Extramural Programs across the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR), and now NICHD, overseeing research on cognitive and neurological development and disorders, including neurobiological, behavioral and caregiving research foci. She has served on numerous federal and national committees aimed at advancing research and services for young learners and persons with cognitive and/or physical disability or differences, co-authoring numerous calls for new research to close significant gaps, as well as peer-reviewed publications. Prior to coming to NIH, she was faculty in Neurology (Psychology) at Washington University-St. Louis School of Medicine where she managed the university’s Alzheimer’s Disease Research Center (supported in part by grant P50AG05681), and served as Director of its Education Core and its Rural Outreach Satellite. While there, expanding on her enthusiasm for the use of newly developed technologies as tools for cognition, she developed and regularly contributed to the first-ever freely available web-based online educational support system for anyone interested in Alzheimer’s disease (AD) and for formal and informal dementia patient caregivers; the cite has garnered numerous national and international awards. This early online educational service has been used & replicated around the globe as a model for online disease/disabilty-focused educational support service.
Affiliations and expertise
National Institute of Child Health and Human Development, NIH, Rockville, MD, USARead Development of Mathematical Cognition on ScienceDirect