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

Autor: Racey C; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Kampoureli C; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Bowen-Hill O; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Bauer M; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Simpson I; School of Engineering and Informatics, University of Sussex, Brighton, UK., Rae C; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Del Rio M; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Simner J; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK., Ward J; School of Psychology and Sussex Neuroscience, University of Sussex, Brighton, UK. jamiew@sussex.ac.uk.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Nov 04; Vol. 10 (1), pp. 766. Date of Electronic Publication: 2023 Nov 04.
DOI: 10.1038/s41597-023-02664-4
Abstrakt: 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.
(© 2023. The Author(s).)
Databáze: MEDLINE
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