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Development of mathematical cognition = neural substrates and genetic influences /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development of mathematical cognition/ edited by Daniel B. Berch, David C. Geary and Kathleen Mann Koepke.
Reminder of title:	neural substrates and genetic influences /
other author:	Berch, Daniel B.,
Published:	Amsterdam :Elsevier Ltd., : 2016.,
Description:	1 online resource.
Subject:	Mathematics - Study and teaching -
Online resource:	https://www.sciencedirect.com/science/book/9780128018712
ISBN:	9780128019092 (electronic bk.)

Development of mathematical cognition = neural substrates and genetic influences /
Development of mathematical cognitionneural substrates and genetic influences /[electronic resource] :edited by Daniel B. Berch, David C. Geary and Kathleen Mann Koepke. - Amsterdam :Elsevier Ltd.,2016. - 1 online resource. - Mathematical cognition and learning ;volume 2. - Mathematical cognition and learning ;v. 3..

Includes bibliographical references and index.

Front Cover -- Development of Mathematical Cognition: Neural Substrates and Genetic Influences -- Copyright -- Contents -- Contributors -- Foreword -- References -- Preface -- Chapter 1: Introduction: How the Study of Neurobiological and Genetic Factors Can Enhance Our Understanding of Mathematica ... -- Introduction -- Neurobiological Perspectives on Mathematical Cognitive Development -- Using Neuroimaging Methods to Study Children's Mathematical Development -- Mathematical Cognition and Development: Brain Structure and Function -- A Brief History -- The Developing Brain -- Brain Imaging Methods Used in Studying Mathematical Cognitive Development -- Criticisms of fMRI -- Reverse Inference -- 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 -- References -- Part I: Neural substrates -- Chapter 2: Number Symbols in the Brain -- Introduction -- Which Brain Regions Are Engaged During the Processing of Numerical Symbols? -- Evidence from Comparison Tasks -- Response-Selection Confounds -- Evidence from fMRI Adaptation Studies -- Semantic or Perceptual Processing of Number Symbols in the IPS? -- 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 -- Acknowledgments -- References -- Chapter 3: Neural and Behavioral Signatures of Core Numerical Abilities and Early Symbolic Number Development -- Introduction -- Two Systems for Nonverbal Numerical Cognition -- Parallel Individuation System.

ISBN: 9780128019092 (electronic bk.)Subjects--Topical Terms:

1292988
Mathematics
--Study and teachingIndex Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA11.2 / .D48 2016eb

Dewey Class. No.: 510.71

Development of mathematical cognition = neural substrates and genetic influences /
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245 0 0 $a Development of mathematical cognition $h [electronic resource] : $b neural substrates and genetic influences / $c edited by Daniel B. Berch, David C. Geary and Kathleen Mann Koepke.
260 $a Amsterdam : $b Elsevier Ltd., $c 2016.
300 $a 1 online resource.
490 1 $a Mathematical cognition and learning ; $v volume 2
504 $a Includes bibliographical references and index.
505 0 $a Front Cover -- Development of Mathematical Cognition: Neural Substrates and Genetic Influences -- Copyright -- Contents -- Contributors -- Foreword -- References -- Preface -- Chapter 1: Introduction: How the Study of Neurobiological and Genetic Factors Can Enhance Our Understanding of Mathematica ... -- Introduction -- Neurobiological Perspectives on Mathematical Cognitive Development -- Using Neuroimaging Methods to Study Children's Mathematical Development -- Mathematical Cognition and Development: Brain Structure and Function -- A Brief History -- The Developing Brain -- Brain Imaging Methods Used in Studying Mathematical Cognitive Development -- Criticisms of fMRI -- Reverse Inference -- 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 -- References -- Part I: Neural substrates -- Chapter 2: Number Symbols in the Brain -- Introduction -- Which Brain Regions Are Engaged During the Processing of Numerical Symbols? -- Evidence from Comparison Tasks -- Response-Selection Confounds -- Evidence from fMRI Adaptation Studies -- Semantic or Perceptual Processing of Number Symbols in the IPS? -- 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 -- Acknowledgments -- References -- Chapter 3: Neural and Behavioral Signatures of Core Numerical Abilities and Early Symbolic Number Development -- Introduction -- Two Systems for Nonverbal Numerical Cognition -- Parallel Individuation System.
505 8 $a Approximate Number System -- Behavioral Evidence for Distinct Systems of Numerical Cognition -- The Cognitive Neuroscience of Two Core Systems of Number -- Establishing the Neural Signatures of Two Systems -- Distinct Brain Mechanisms of Two Systems -- Continuity in Neural Signatures over Development -- Change in Core Numerical Processing over Development -- The Relationship Between Core Systems and Symbolic Number Abilities -- Approximate Number System and Symbolic Number and Mathematics Abilities -- The Relationship of Core Systems to Early Number Concept Development -- Conclusions -- Acknowledgments -- References -- Chapter 4: A Neurodevelopmental Perspective on the Role of Memory Systems in Children's Math Learning -- 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 -- Acknowledgments -- References -- Chapter 5: Finger Representation and Finger-Based Strategies in the Acquisition of Number Meaning and Arithmetic -- Introduction -- Fingers in Numerical and Arithmetic Processing -- The Role of Fingers and Finger Representation in Number Processing -- Neural Substrates for Hand and Number Processing.
505 8 $a Finger-Based Strategies and Finger Representation in Arithmetic -- Neural Substrates for Finger-Related Activation During Arithmetic Problem Solving -- Finger-Based Strategies and Operation-Specific Processes -- A Model Supporting Operation-Specific Processes -- Behavioral Evidence for Operation-Specific Processes -- Operation-Specific Neural Networks -- Operation-Specific Processes as a Consequence of Operation-Dependent Teaching Methods -- Operation-Dependent Finger-Related Activations -- Finger Counting, Cultural Influence, and Spatial-Numerical Relations -- Future Directions -- Conclusions -- References -- Chapter 6: Neurocognitive Architectures and the Nonsymbolic Foundations of Fractions Understanding -- 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 -- Acknowledgments -- References -- Chapter 7: Developmental Dyscalculia and the Brain * -- Introduction -- Developmental Dyscalculia -- Diagnosis of Developmental Dyscalculia -- What Neuroimaging Is Telling Us about Developmental Dyscalculia -- Magnetic Resonance Imaging (MRI) -- Positron Emission Tomography -- Electroencephalography/Magnetoencephalography (MEG) -- Near Infrared Spectroscopy -- Neuronal Correlates of Developmental Dyscalculia -- Numbers in the Adult Brain -- Typical Development of Number Representations in the Brain -- Deficient Functional Networks -- Aberrant Brain Activation in Number-Related Areas in DD -- Aberrant Brain Activation in Domain-General Areas in DD -- Compensatory Mechanisms in DD.
505 8 $a Changes of Brain Function Due to Development and Intervention -- Abnormal Neuronal Macro- and Microstructures -- Brain Structure -- Fiber Connections -- Neurometabolites -- Conclusions and Future Directions -- References -- Chapter 8: Neurocognitive Components of Mathematical Skills and Dyscalculia -- Introduction -- Accessing Quantity Representations -- Working Memory: The Role of Serial Order -- Executive Functions -- Discussion and Conclusions -- References -- Chapter 9: Individual Differences in Arithmetic Fact Retrieval -- Introduction -- Development and Measurement of Arithmetic Fact Retrieval -- Neurocognitive Determinants of Individual Differences in Arithmetic Fact Retrieval -- Numerical Magnitude Processing -- Phonological Processing -- Neural Correlates of Arithmetic Fact Retrieval -- Arithmetic Fact Retrieval in the (Developing) Brain -- Individual Differences in Brain Activity During Fact Retrieval -- Connections Between Areas of the Arithmetic Fact-Retrieval Network -- Conclusions and Future Directions -- References -- Chapter 10: Transcranial Electrical Stimulation and the Enhancement of Numerical Cognition -- Introduction -- A Brief History -- tES Today -- The Forms of tES -- tDCS -- tRNS -- Principles and Limitations of tES Experiments -- Placebo Effects -- Online and Offline Effects: Single Session and Training Studies -- Depth of Stimulation -- Choosing the Brain Region -- Size, Number, and Placement of the Electrodes -- Choosing the Type of Stimulation -- Evidence of tES-Induced Enhancement of Numerical Cognition -- Numerosity -- Symbolic and Magnitude Processing -- Symbolic-magnitude mapping -- Multiple electrodes -- Arithmetic Operations -- All or Null? The Case of Nonsignificant Results -- Evidence of tES-Induced Enhancements in Dysfunctional Numerical Cognition -- Mathematics Anxiety -- Dyscalculia -- The To-Do List.
505 8 $a Cognitive Cost -- Transfer Effects -- Individual Differences -- Ecological Validity -- Conclusions -- References -- Part II: Genetic Influences -- Chapter 11 Individual Differences in Mathematics Ability: A Behavioral Genetic Approach -- Introduction -- Introduction to Quantitative Genetics -- Etiology of Individual Differences in Mathematics -- Etiology of the Links between Mathematics Ability and Other Traits -- Multivariate Genetic Designs -- Etiology of Relationships between Mathematics and Reading as well as Language-Related Skills -- Origin of Relationships between Mathematics and Spatial Ability -- Etiology of Relationships among Mathematical Subskills -- Overlap in Genetic Influences on Academic Subjects -- Genetic Effects Specific to Mathematics -- Etiology of Relationships between Mathematical Ability and Related Affective Factors -- Mathematical Development -- Molecular Genetic Studies of Mathematics -- Neurobiological Mechanisms -- Conclusions -- Acknowledgment -- References -- Chapter 12: Genetic Syndromes as Model Pathways to Mathematical Learning Difficulties: Fragile X, Turner, and 22q Deletion ... -- Introduction -- Why Focus on Fragile X, Turner, and 22q Deletion Syndromes to Study MLD? -- Contributions of Syndrome Research to Understanding MLD -- Syndromes as Models of MLD -- Fragile X Syndrome -- Turner Syndrome -- Chromosome 22q11.2 Deletion Syndrome -- MLD Frequency and Severity in Children with Fragile X, Turner, or 22q11.2 Deletion Syndromes -- Correlates as Indicators of Pathways to or Subtypes of MLD: Contributions and Limitations -- Correlates as Indicators of MLD Specificity in Fragile X, Turner, and 22q11.2DS -- Characterizing MLD in Girls with Fragile X Syndrome -- Characterizing MLD in Girls with Turner Syndrome -- Characterizing MLD in Children with 22q11.2DS.
588 0 $a Online resource; title from PDF title page (EBSCO, viewed October 13, 2015).
650 0 $a Mathematics $x Study and teaching $x Methodology. $3 1292988
650 0 $a Mathematical ability. $3 647407
650 0 $a Cognition in children. $3 558318
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Berch, Daniel B., $e editor. $3 1292982
700 1 $a Geary, David C., $e editor. $3 1292981
700 1 $a Mann Koepke, Kathleen, $e editor. $3 1292984
830 0 $a Mathematical cognition and learning ; $v v. 3. $3 1292985
856 4 0 $u https://www.sciencedirect.com/science/book/9780128018712