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Development of mathematical cognition : neural substrates and genetic influences /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Berch, Daniel B. (Editor ), Geary, David C. (Editor ), Mann Koepke, Kathleen (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier Ltd., [2015]
Colección:Mathematical cognition and learning ; v. 2.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.