Mathematical cognition is critical not only for success in science and engineering but also as an important skill in everyday life, second only to reading in formal education. Yet, mathematical difficulties are widespread in school-age children and college students in the US. Understanding the progression and mechanisms of mathematical development is a national priority, as emphasized by the conclusions of the President's National Mathematics Advisory Panel. Recent cognitive, developmental and educational studies have provided new insights into the enduring behavioral deficits in children with mathematical disabilities (MD). However, little is known about the neural and anatomical bases of MD in children. The overarching objective of our proposal is to continue a productive line of research investigating cognitive and brain mechanisms underlying MD in young children. We will use a cognitive and systems neuroscience approach coupled with state-of-the-art functional magnetic resonance imaging (fMRI), structural MRI and diffusion tensor imaging (DTI) techniques to achieve this objective. Our study focuses on ages 7-10 (grades 2, 3 and 4), a period important for mastering core arithmetic skills that support later mathematics learning. A prospective longitudinal design will be used to elucidate the neural correlates of poor arithmetic skills in children with MD and examine why some children with MD have persistent deficits whereas others do not. Our proposed studies focus on three groups of children: (1) children with mathematical learning disabilities (MLD) who have persistent disabilities (low achievement across grades), (2) low achieving but variable (LA-V) children who lag in performance skills in one year and are normal the next, and (3) typically developing (TD) children. We will characterize the behavioral, cognitive and neural profile of information processing deficits during addition and subtraction, two basic and complementary arithmetic operations that differ in task complexity and efficient retrieval. Analysis of DTI and fMRI data acquired from the same children will contribute important new knowledge about core neuroanatomical deficits in persistent MD. Novel multivariate pattern recognition techniques, which detect fine-grained differences in activation patterns, will be used to increase our ability to uncover aberrant neural representations of mathematical information in children with MD. The longitudinal study design will allow us to (1) assess intra- and inter-subject variability and stability of brain response and connectivity in relation to arithmetic skill development, and (2) identify latent classes of neurodevelopmental changes characterizing poor and normal development. Our proposed studies will provide new insights into the neural correlates of MD, and the extent to which increased recruitment of brain networks involved in arithmetic processing during development is altered in children with MD. By providing essential knowledge about the neurofunctional and neuroanatomical substrates of MD in children, and how they change with time, we will be able to inform the development of behavioral and educational strategies for improving mathematical skills at an early age.

Public Health Relevance

Understanding the progression and mechanisms of mathematical development mathematical skills is a national priority, as emphasized by the formation of the President's National Mathematics Panel. Between 5 to 8% of children demonstrate some form of mathematical learning disability, with adverse life-long consequences for academic, vocational and professional success. The overarching objective of our proposal is to continue a productive line of research investigating the cognitive and brain mechanisms underlying MD in young children. Findings from our study will not only have important implications for determining mathematical learning in children, but also for understanding the cognitive and brain processes underlying mathematical learning disabilities.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
5R01HD047520-08
Application #
8310960
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Mann Koepke, Kathy M
Project Start
2004-07-20
Project End
2015-07-31
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
8
Fiscal Year
2012
Total Cost
$621,175
Indirect Cost
$220,838
Name
Stanford University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Jolles, Dietsje; Supekar, Kaustubh; Richardson, Jennifer et al. (2016) Reconfiguration of parietal circuits with cognitive tutoring in elementary school children. Cortex 83:231-45
Escovar, Emily; Rosenberg-Lee, Miriam; Uddin, Lucina Q et al. (2016) The Empathizing-Systemizing Theory, Social Abilities, and Mathematical Achievement in Children. Sci Rep 6:23011
Jolles, Dietsje; Wassermann, Demian; Chokhani, Ritika et al. (2016) Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning. Brain Struct Funct 221:1337-51
Qin, Shaozheng; Duan, Xujun; Supekar, Kaustubh et al. (2016) Large-scale intrinsic functional network organization along the long axis of the human medial temporal lobe. Brain Struct Funct 221:3237-58
Chang, Ting-Ting; Metcalfe, Arron W S; Padmanabhan, Aarthi et al. (2016) Heterogeneous and nonlinear development of human posterior parietal cortex function. Neuroimage 126:184-95
Hiniker, Alexis; Rosenberg-Lee, Miriam; Menon, Vinod (2016) Distinctive Role of Symbolic Number Sense in Mediating the Mathematical Abilities of Children with Autism. J Autism Dev Disord 46:1268-81
Jolles, Dietsje; Ashkenazi, Sarit; Kochalka, John et al. (2016) Parietal hyper-connectivity, aberrant brain organization, and circuit-based biomarkers in children with mathematical disabilities. Dev Sci 19:613-31
Rosenberg-Lee, Miriam; Ashkenazi, Sarit; Chen, Tianwen et al. (2015) Brain hyper-connectivity and operation-specific deficits during arithmetic problem solving in children with developmental dyscalculia. Dev Sci 18:351-72
Supekar, Kaustubh; Iuculano, Teresa; Chen, Lang et al. (2015) Remediation of Childhood Math Anxiety and Associated Neural Circuits through Cognitive Tutoring. J Neurosci 35:12574-83
Iuculano, Teresa; Rosenberg-Lee, Miriam; Richardson, Jennifer et al. (2015) Cognitive tutoring induces widespread neuroplasticity and remediates brain function in children with mathematical learning disabilities. Nat Commun 6:8453

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