Scientific Data (Nov 2023)

An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information

  • Chris Racey,
  • Christina Kampoureli,
  • Oscar Bowen-Hill,
  • Mathilde Bauer,
  • Ivor Simpson,
  • Charlotte Rae,
  • Magda del Rio,
  • Julia Simner,
  • Jamie Ward

DOI
https://doi.org/10.1038/s41597-023-02664-4
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 11

Abstract

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Abstract We provide a neuroimaging database consisting of 102 synaesthetic brains using state-of-the-art 3 T MRI protocols from the Human Connectome Project (HCP) which is freely available to researchers. This database consists of structural (T1- and T2-weighted) images together with approximately 24 minutes of resting state data per participant. These protocols are designed to be inter-operable and reproducible so that others can add to the dataset or directly compare it against other normative or special samples. In addition, we provide a ‘deep phenotype’ of our sample which includes detailed information about each participant’s synaesthesia together with associated clinical and cognitive measures. This behavioural dataset, which also includes data from (N = 109) non-synaesthetes, is of importance in its own right and is openly available.