The proposed research aims to identify patterns of brain activity related to mathematics performance in children and adults. Severe developmental impairments in mathematics affect approximately 6% of people in the United States and many more people experience some degree of difficulty performing basic math. By examining brain activity related to mathematics in children and adults, the studies described in this proposal will help identify the cognitive and neural sources of learning impairments in mathematics. A potential application of this research is the use of neuroimaging techniques to identify abnormalities in the brain functions of children and adults. ? ? ?

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32HD057758-01
Application #
7407790
Study Section
Special Emphasis Panel (ZRG1-F12A-D (20))
Program Officer
Mccardle, Peggy D
Project Start
2008-05-01
Project End
2011-04-30
Budget Start
2008-05-01
Budget End
2009-04-30
Support Year
1
Fiscal Year
2008
Total Cost
$48,446
Indirect Cost
Name
Duke University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Cantlon, Jessica F; Pinel, Philippe; Dehaene, Stanislas et al. (2011) Cortical representations of symbols, objects, and faces are pruned back during early childhood. Cereb Cortex 21:191-9
Cantlon, Jessica F; Safford, Kelley E; Brannon, Elizabeth M (2010) Spontaneous analog number representations in 3-year-old children. Dev Sci 13:289-97
Cantlon, Jessica F; Platt, Michael L; Brannon, Elizabeth M (2009) Beyond the number domain. Trends Cogn Sci 13:83-91
Cantlon, Jessica F; Libertus, Melissa E; Pinel, Philippe et al. (2009) The neural development of an abstract concept of number. J Cogn Neurosci 21:2217-29
Hubbard, Edward M; Diester, Ilka; Cantlon, Jessica F et al. (2008) The evolution of numerical cognition: from number neurons to linguistic quantifiers. J Neurosci 28:11819-24