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- W4317438388 abstract "In this review, we consider the scope of work that uses resting-state functional connectivity (RSFC) analyses of functional magnetic resonance imaging data relevant for understanding the mathematical brain. After briefly introducing this technique and its utility, we identify three main themes this research has focused on: (1) using RSFC to identify patterns in brain connectivity that relate to individual differences in math ability or may be associated with math learning difficulties, (2) the use of RSFC to understand the effects of math training or intervention on the brain, and (3) insights that RSFC provides regarding the development and plasticity of mechanisms of the mathematical brain. The major contributions within each research theme are discussed alongside unresolved issues in RSFC study design related to understanding the development of math skills." @default.
- W4317438388 created "2023-01-19" @default.
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- W4317438388 date "2023-02-01" @default.
- W4317438388 modified "2023-09-23" @default.
- W4317438388 title "The mathematical brain at rest" @default.
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- W4317438388 doi "https://doi.org/10.1016/j.cobeha.2022.101246" @default.
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