Summary
Mathematical thinking is one of the most remarkable human cognitive abilities, but unfortunately, not all individuals are equal concerning those abilities. Becoming numerate is a long-lasting learning process in which the early stages are of paramount importance to ensure positive future outcomes. However, the neural bases supporting these early abilities and the path to inter-individual differences remain elusive. MATHWAVES aims at understanding the neural mechanisms supporting the emergence of the early steps of mathematical learning. First, a longitudinal framework will test whether the developmental trajectory of audio-visual integration of numerical formats is the gateway to mathematical abstraction. Second, cross-sectional comparisons will assess the balance between brain networks engaged in efficient implicit and explicit numerical processing. Third, we will investigate whether mathematical learning is associated with brain plasticity at different times-scales: the slow changes across development vs. the short-term changes while processing numbers. We will highlight the developmental changes in long-lasting or transient properties of the brain’s functional organization that explain the fluctuations in mathematical abilities within and across individuals. Through a novel combination of frequency-based and functional connectivity approaches implemented in magnetoencephalography, MATHWAVES will dynamically track early mathematical learning and neuroplastic changes associated with the emergence of those abilities. Characterizing the neurocognitive mechanisms of early mathematical learning at different timescales represents a complete paradigm shift that is imperative to understand learning dynamics at the onset of human mathematical thinking and individual differences. MATHWAVES tackles the broader question of how learning reshapes the developing brain and enables several groundbreaking new avenues for research, but also future diagnosis and remedial techniques.
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Web resources: | https://cordis.europa.eu/project/id/101075383 |
Start date: | 01-10-2023 |
End date: | 30-09-2028 |
Total budget - Public funding: | 1 497 516,00 Euro - 1 497 516,00 Euro |
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Original description
Mathematical thinking is one of the most remarkable human cognitive abilities, but unfortunately, not all individuals are equal concerning those abilities. Becoming numerate is a long-lasting learning process in which the early stages are of paramount importance to ensure positive future outcomes. However, the neural bases supporting these early abilities and the path to inter-individual differences remain elusive. MATHWAVES aims at understanding the neural mechanisms supporting the emergence of the early steps of mathematical learning. First, a longitudinal framework will test whether the developmental trajectory of audio-visual integration of numerical formats is the gateway to mathematical abstraction. Second, cross-sectional comparisons will assess the balance between brain networks engaged in efficient implicit and explicit numerical processing. Third, we will investigate whether mathematical learning is associated with brain plasticity at different times-scales: the slow changes across development vs. the short-term changes while processing numbers. We will highlight the developmental changes in long-lasting or transient properties of the brain’s functional organization that explain the fluctuations in mathematical abilities within and across individuals. Through a novel combination of frequency-based and functional connectivity approaches implemented in magnetoencephalography, MATHWAVES will dynamically track early mathematical learning and neuroplastic changes associated with the emergence of those abilities. Characterizing the neurocognitive mechanisms of early mathematical learning at different timescales represents a complete paradigm shift that is imperative to understand learning dynamics at the onset of human mathematical thinking and individual differences. MATHWAVES tackles the broader question of how learning reshapes the developing brain and enables several groundbreaking new avenues for research, but also future diagnosis and remedial techniques.Status
SIGNEDCall topic
ERC-2022-STGUpdate Date
31-07-2023
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