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Hyesang Chang on Muck Rack

Hyesang Chang

As seen in: Nature, Wiley Online Library, BioRxiv, eLife
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Articles

Glutamatergic signaling underlies brain structural organization for mathematical and reading abilities in children

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By YUAN ZHANG, Hyesang Chang, Vinod Menon
| Nature Verified
Abstract The neurochemical mechanisms underlying individual differences in children’s mathematical and reading abilities remain largely unknown. Here we investigate how neurotransmitter systems relate to brain structural organization supporting these abilities in two independent cohorts of children (N = 991). We mapped brain-wide structural phenotypes associated with academic performance onto a comprehensive PET atlas of 19 neurotransmitter receptors and transporters.
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Distinct neural representational changes following cross-format number tutoring in children with mathematical difficulties - npj Science of Learning

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By Yunji Park, Yuan Zhang, Hyesang Chang
| Nature Verified
Abstract Children with mathematical difficulties (MD) often struggle to connect abstract numerical symbols with corresponding nonsymbolic quantities, a foundational skill for mathematical development. We evaluated a 4-week personalized cross-format number (CFN) tutoring program designed to strengthen these symbolic–nonsymbolic mappings in children with MD aged 7–10 years. CFN tutoring was associated with significant improvements in numerical and arithmetic fluency.
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Unraveling latent cognitive, metacognitive, strategic, and affective processes underlying children's problem-solving using Bayesian cognitive modeling

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By Percy Mistry, Hyesang Chang, Vinod Menon
| BioRxiv
Abstract Children exhibit remarkable variability in their mathematical problem-solving abilities, yet the cognitive, metacognitive and affective mechanisms underlying these individual differences remain poorly understood. We developed a novel Bayesian model of arithmetic problem-solving (BMAPS) to uncover the latent processes governing children's arithmetic strategy choice and efficiency.
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