An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information
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 2...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02664-4 |
| _version_ | 1797637131725701120 |
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| author | Chris Racey Christina Kampoureli Oscar Bowen-Hill Mathilde Bauer Ivor Simpson Charlotte Rae Magda del Rio Julia Simner Jamie Ward |
| author_facet | Chris Racey Christina Kampoureli Oscar Bowen-Hill Mathilde Bauer Ivor Simpson Charlotte Rae Magda del Rio Julia Simner Jamie Ward |
| author_sort | Chris Racey |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T12:44:03Z |
| format | Article |
| id | doaj.art-b6e047aed00742938648e7641ea84ef7 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-11T12:44:03Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-b6e047aed00742938648e7641ea84ef72023-11-05T12:07:35ZengNature PortfolioScientific Data2052-44632023-11-0110111110.1038/s41597-023-02664-4An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic InformationChris Racey0Christina Kampoureli1Oscar Bowen-Hill2Mathilde Bauer3Ivor Simpson4Charlotte Rae5Magda del Rio6Julia Simner7Jamie Ward8School of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Engineering and Informatics, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexSchool of Psychology and Sussex Neuroscience, University of SussexAbstract 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.https://doi.org/10.1038/s41597-023-02664-4 |
| spellingShingle | Chris Racey Christina Kampoureli Oscar Bowen-Hill Mathilde Bauer Ivor Simpson Charlotte Rae Magda del Rio Julia Simner Jamie Ward An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information Scientific Data |
| title | An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
| title_full | An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
| title_fullStr | An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
| title_full_unstemmed | An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
| title_short | An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
| title_sort | open science mri database of over 100 synaesthetic brains and accompanying deep phenotypic information |
| url | https://doi.org/10.1038/s41597-023-02664-4 |
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