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

作者：Peng Gao, Hao-Ming Dong, Si-Man Liu, Xue-Ru Fan, Chao Jiang, Yinshan Wang, Daniel S. Margulies, Haifang Li, Xi‐Nian Zuo · 发表于：Scientific Data · 年份：2022 · DOI：10.1038/s41597-022-01413-3 · 被引用次数：19 · 研究领域：Functional Brain Connectivity Studies、Face Recognition and Perception、Health, Environment, Cognitive Aging

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 ( https://doi.org/10.11922/sciencedb.00740 ).