Brain and Maths in Ibero-America.

Bibliographic Details
Main Author:	Gomides, Mariuche (Author)
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Starling-Alves, Isabela, Santos, Flavia H.
Format:	eBook
Language:	English
Published:	San Diego : Elsevier, 2023.
Series:	Progress in brain research ; v. 280.
Subjects:	Brain. Mathematics > Psychological aspects. Mathematics > Latin America. Brain Cerveau. Mathématiques > Aspect psychologique. Mathématiques > Amérique latine. brains. Mathematics. Latin America. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Intro
Brain and Maths in Ibero-America
Copyright
Contributors
Contents
Preface
Symbolic and nonsymbolic magnitude processing
Number, space, and executive functions
Brain and mathematics in naturalistic settings
Conclusion
References
Chapter One: Conceptual foundations of early numeracy: Evidence from infant brain data
1. Introduction
2. Theories about conceptual foundations of symbolic mathematics
2.1. The number sense theories
2.2. The magnitude sense theories
2.3. The ``symbol grounding probleḿ́
3. Evidence from brain data in preverbal infants
4. Conclusions
References
Chapter Two: Anatomical connectivity in children with developmental dyscalculia: A graph theory study
1. Introduction
2. Methods
2.1. Participants
2.2. Procedures
2.2.1. Sample selection
2.2.1.1. Ravenś progressive colored matrices test (John & Raven, 2003)
2.2.1.2. The basic numeric battery (BNB) (Reigosa-Crespo et al., 2012)
2.2.1.2.1. Simple reaction time
2.2.1.2.2. Numerical capacity tests
2.2.1.2.3. Mental calculation test
2.2.1.2.4. Calculation of Z scores
2.2.1.3. Word/pseudoword reading task (Reigosa-Crespo et al., 1994)
2.2.2. Neurocognitive assessment
2.2.2.1. Domain-specific learning processes
2.2.2.1.1. Numerical estimation task
2.2.2.1.2. Fluency and oral comprehension test
2.2.2.2. Assessment of general-domain cognitive processes
2.2.2.2.1. Backward Digit Span, Wechsler Intelligence Scale for Children-Revised (Sattler, 1982)
2.2.2.2.2. Peabody Vocabulary Test (PPVT) (Piñeiro et al., 1999)
2.2.3. Neuroimaging studies
2.2.3.1. MRI data acquisition
2.2.3.1.1. Anatomical images
2.2.3.1.2. Diffusion-weighted imaging
2.2.3.2. MRI data preprocessing
2.2.3.2.1. Structural data
2.2.3.2.2. Diffusion preprocessing
2.2.3.3. Calculation of cortical surface area, thickness and cortical volume
2.2.3.4. Calculation of individual connectivity
2.2.3.5. Construction of anatomical networks
2.2.3.5.1. Definition of nodes
2.2.3.5.2. Definition of arcs
2.2.3.5.3. Graph analysis
2.3. Statistical analysis
2.3.1. Analysis of individual variability in brain topological properties and precision of numerical representations
2.3.2. Comparison of global network properties between groups
2.3.3. ACP between groups
2.3.4. Comparison of local properties between groups
3. Results
3.1. Association between topological brain network properties and weber fraction
3.2. Global topological properties: Differences of between DD and control
3.3. ACP: Differences between groups
3.4. Hubs reorganization in DD
4. Discussion
4.1. The degree of segregation of information processing in the whole brain network co-varies with the resolution of nume ...
4.2. Limitations
5. General conclusions
References