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A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping

The big-data use is becoming a standard practice in the neuroimaging field through data-sharing initiatives. It is important for the community to realize that such open science effort must protect personal, especially facial information when raw neuroimaging data are shared. An ideal tool for the fa...

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Autores principales: Gao, Peng, Dong, Hao-Ming, Liu, Si-Man, Fan, Xue-Ru, Jiang, Chao, Wang, Yin-Shan, Margulies, Daniel, Li, Hai-Fang, Zuo, Xi-Nian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184635/
https://www.ncbi.nlm.nih.gov/pubmed/35680932
http://dx.doi.org/10.1038/s41597-022-01413-3
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author Gao, Peng
Dong, Hao-Ming
Liu, Si-Man
Fan, Xue-Ru
Jiang, Chao
Wang, Yin-Shan
Margulies, Daniel
Li, Hai-Fang
Zuo, Xi-Nian
author_facet Gao, Peng
Dong, Hao-Ming
Liu, Si-Man
Fan, Xue-Ru
Jiang, Chao
Wang, Yin-Shan
Margulies, Daniel
Li, Hai-Fang
Zuo, Xi-Nian
author_sort Gao, Peng
collection PubMed
description The big-data use is becoming a standard practice in the neuroimaging field through data-sharing initiatives. It is important for the community to realize that such open science effort must protect personal, especially facial information when raw neuroimaging data are shared. An ideal tool for the face anonymization should not disturb subsequent brain tissue extraction and further morphological measurements. Using the high-resolution head images from magnetic resonance imaging (MRI) of 215 healthy Chinese, we discovered and validated a template effect on the face anonymization. Improved facial anonymization was achieved when the Chinese head templates but not the Western templates were applied to obscure the faces of Chinese brain images. This finding has critical implications for international brain imaging data-sharing. To facilitate the further investigation of potential culture-related impacts on and increase diversity of data-sharing for the human brain mapping, we released the 215 Chinese multi-modal MRI data into a database for imaging Chinese young brains, namely’I See your Brains (ISYB)’, to the public via the Science Data Bank (10.11922/sciencedb.00740).
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spelling pubmed-91846352022-06-11 A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping Gao, Peng Dong, Hao-Ming Liu, Si-Man Fan, Xue-Ru Jiang, Chao Wang, Yin-Shan Margulies, Daniel Li, Hai-Fang Zuo, Xi-Nian Sci Data Data Descriptor The big-data use is becoming a standard practice in the neuroimaging field through data-sharing initiatives. It is important for the community to realize that such open science effort must protect personal, especially facial information when raw neuroimaging data are shared. An ideal tool for the face anonymization should not disturb subsequent brain tissue extraction and further morphological measurements. Using the high-resolution head images from magnetic resonance imaging (MRI) of 215 healthy Chinese, we discovered and validated a template effect on the face anonymization. Improved facial anonymization was achieved when the Chinese head templates but not the Western templates were applied to obscure the faces of Chinese brain images. This finding has critical implications for international brain imaging data-sharing. To facilitate the further investigation of potential culture-related impacts on and increase diversity of data-sharing for the human brain mapping, we released the 215 Chinese multi-modal MRI data into a database for imaging Chinese young brains, namely’I See your Brains (ISYB)’, to the public via the Science Data Bank (10.11922/sciencedb.00740). Nature Publishing Group UK 2022-06-09 /pmc/articles/PMC9184635/ /pubmed/35680932 http://dx.doi.org/10.1038/s41597-022-01413-3 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Gao, Peng
Dong, Hao-Ming
Liu, Si-Man
Fan, Xue-Ru
Jiang, Chao
Wang, Yin-Shan
Margulies, Daniel
Li, Hai-Fang
Zuo, Xi-Nian
A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title_full A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title_fullStr A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title_full_unstemmed A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title_short A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
title_sort chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184635/
https://www.ncbi.nlm.nih.gov/pubmed/35680932
http://dx.doi.org/10.1038/s41597-022-01413-3
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