Data and Code: Familial transmission of neural representations for mental arithmetic across two generations

Here we provide anonymized behavioral data, individual beta maps and analyses codes used in "Familial transmission of neural representations for mental arithmetic across two generations".

Because of anonymization concerns within the framework of EU privacy regulations (GDPR), we cannot provide raw MRI data. Therefore, the fMRI data consists of individual beta maps from the first-level analysis, which correspond to the brain activity associated with increases in problem size for each operation (addition and subtraction). Maps are normalized into the MNI template. See paper for details about the preprocessing and first-level analysis.

The dataset consists of mother-child dyads. Mothers are assigned codes of 200 or higher. Children are assigned codes below 200. Each child's code is exactly 200 less than their mother's code.

The analyses codes require Python version 3.8.8 and Nilearn version 0.8.1.

If you have any questions, please send an email to [e-mail].