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An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625562/ https://www.ncbi.nlm.nih.gov/pubmed/37925503 http://dx.doi.org/10.1038/s41597-023-02664-4 |
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author | Racey, Chris Kampoureli, Christina Bowen-Hill, Oscar Bauer, Mathilde Simpson, Ivor Rae, Charlotte del Rio, Magda Simner, Julia Ward, Jamie |
author_facet | Racey, Chris Kampoureli, Christina Bowen-Hill, Oscar Bauer, Mathilde Simpson, Ivor Rae, Charlotte del Rio, Magda Simner, Julia Ward, Jamie |
author_sort | Racey, Chris |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10625562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106255622023-11-06 An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information Racey, Chris Kampoureli, Christina Bowen-Hill, Oscar Bauer, Mathilde Simpson, Ivor Rae, Charlotte del Rio, Magda Simner, Julia Ward, Jamie Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625562/ /pubmed/37925503 http://dx.doi.org/10.1038/s41597-023-02664-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Racey, Chris Kampoureli, Christina Bowen-Hill, Oscar Bauer, Mathilde Simpson, Ivor Rae, Charlotte del Rio, Magda Simner, Julia Ward, Jamie An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information |
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 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625562/ https://www.ncbi.nlm.nih.gov/pubmed/37925503 http://dx.doi.org/10.1038/s41597-023-02664-4 |
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