Neuroanatomical, transcriptomic, and molecular correlates of math ability and their prognostic value for predicting learning outcomes is a research paper published in Science Advances (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.
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National Institutes of Health
Grant: 1R01MH121069-01
Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approach
National Institutes of Health
Grant: 5R01HD059205-13
Interventions in math learning disabilities: cognitive and neural correlates
National Institutes of Health
Grant: 1R21AG072114-01
Identification of Brain Circuit Markers for Psychosis in Alzheimer's Disease by Leveraging Big Data and Machine Learning
National Institutes of Health
Grant: 5R37HD094623-04
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomes
National Institutes of Health
Grant: 5R01MH084164-09
Learning and brain plasticity in children with autism: relation to cognitive inflexibility and restricted-repetitive behaviors
FWCI
1.00
Citation Percentile
0.7%
Citation Trend
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Sustainable Development Goals