Mathematical cognition provides a foundation for the development of skills that are indispensable for academic and professional success in the 21st century. Strong foundational knowledge in math is critical not only for success in the STEM fields but also as an important skill in everyday life. Poor numeracy is associated with negative and costly outcomes for health, well-being and life expectancy, making it a major public health concern. Mathematical difficulties are widespread in children, adolescents and even college students, and one in five adults in the US is functionally innumerate. Interventions for remediating poor math skills in children with mathematical disabilities (MD) have therefore taken on great significance. The long-term goal of our research is to understand the cognitive and brain mechanisms underlying mathematical learning, and remediation of poor math skills, in children with MD. Research into the mechanisms underlying interventions for assisting students struggling with math is critically needed, as emphasized by multiple expert panels. Our proposal seeks to extend a productive, innovative and high-impact line of research using a cognitive and systems neuroscience approach, together with state-of-the-art brain imaging techniques, to examine the mechanisms underlying remediation of mathematical skills in children with MD. Our proposed studies are highly relevant to the mission of the NIH Program Announcement Development of Mathematical Cognition and Reasoning and the Prevention of Math Learning Disabilities (PA-12-248). Building on our recent progress, in this renewal we now propose to investigate the cognitive and brain mechanisms underlying two important types of interventions that target different areas of weaknesses in children with MD - speeded practice tutoring (SPT), which targets fluent retrieval of math facts, and visuo-spatial number tutoring (VNT), which targets visuo-spatial representations of numbers, quantity, and their mental manipulations. We will use a randomized control design to compare these distinct learning approaches, and elucidate the brain mechanisms underlying short- and long-term learning, generalization (transfer), and retention of math skills associated with SPT and VNT in children with MD. Our central hypothesis is that SPT and VNT will remediate different types of math deficits in children with MD via dissociable patterns of brain plasticity. A critical neurobiological investigation of these two forms of learning will help elucidate the extent to which MD is remediated by interventions that target plasticity in dissociable brain systems - the declarative memory system, anchored in the medial temporal lobe and the visuo-spatial attention system, anchored in the intra- parietal sulcus. The proposed work will provide important new insights into the neurobiological basis of mathematical learning in children with MD and their typically developing peers. Findings from our study have major implications not only for informing the etiology and the remediation of MD but also for determining sources of variability in mathematical learning with broad consequences for optimizing learning in all children.

Public Health Relevance

Ascertaining the cognitive and brain mechanisms underlying mathematical learning is a national priority, as emphasized by the formation of the President's National Mathematics Panel; between 7 to 10% of children demonstrate severe and persistent mathematical disability (MD), with adverse life-long consequences for employability, wages, socio-economic wellbeing, health and life expectancy. The proposed studies will provide important new knowledge about the cognitive and brain mechanisms underlying learning and the remediation of poor mathematical skills in children with MD. Findings from our study have important implications not only for informing the etiology, and critically, the remediation of MD but also for determining sources of variability in learning, with broad consequences for understanding brain plasticity and optimizing learning and cognitive function in children with 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 #
5R01HD059205-10
Application #
9652680
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Mann Koepke, Kathy M
Project Start
2008-12-15
Project End
2021-02-28
Budget Start
2019-03-01
Budget End
2021-02-28
Support Year
10
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Stanford University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Skeide, Michael A; Evans, Tanya M; Mei, Edward Z et al. (2018) Neural signatures of co-occurring reading and mathematical difficulties. Dev Sci 21:e12680
Chen, Lang; Bae, Se Ri; Battista, Christian et al. (2018) Positive Attitude Toward Math Supports Early Academic Success: Behavioral Evidence and Neurocognitive Mechanisms. Psychol Sci 29:390-402
Padmanabhan, Aarthi; Lynch, Charles J; Schaer, Marie et al. (2017) The Default Mode Network in Autism. Biol Psychiatry Cogn Neurosci Neuroimaging 2:476-486
Wu, Sarah S; Chen, Lang; Battista, Christian et al. (2017) Distinct influences of affective and cognitive factors on children's non-verbal and verbal mathematical abilities. Cognition 166:118-129
Menon, V (2016) Memory and cognitive control circuits in mathematical cognition and learning. Prog Brain Res 227:159-86
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
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
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
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
Chang, Ting-Ting; Rosenberg-Lee, Miriam; Metcalfe, Arron W S et al. (2015) Development of common neural representations for distinct numerical problems. Neuropsychologia 75:481-95

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