Wogu Eberechi, Filima Patrick, Caron Bradley, Deabler Daniel, Herholz Peer, Leal Catherine, Mehboob Mohammed F, Kim Sohmee, Gosain Ananya, Flexwala Alisha, Hayashi Soichi, Akintoye Simisola, Ogoh George, Godwin Tawe, Eke Damian, Pestilli Franco
University of Port Harcourt, Choba, Rivers State, Nigeria.
Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Sci Data. 2025 Mar 27;12(1):518. doi: 10.1038/s41597-025-04743-0.
There is currently a paucity of neuroimaging data from the African continent, limiting the diversity of data from a significant proportion of the global population. This in turn diminishes global health research and innovation. To address this issue, we present and describe the first Magnetic Resonance Imaging (MRI) dataset from individuals in the African nation of Nigeria. This dataset contains pseudonymized structural MRI (T1w, T2w, FLAIR) data of clinical quality, with 35 images from healthy control subjects, 31 images from individuals diagnosed with age-related dementia, and 22 from individuals with Parkinson's Disease. Given the potential for Africa to contribute to the global neuroscience community, this unique MRI dataset represents both an opportunity and benchmark for future studies to share data from the African continent.
目前非洲大陆的神经影像数据匮乏，限制了来自全球很大一部分人口的数据多样性。这进而削弱了全球健康研究与创新。为解决这一问题，我们展示并描述了来自非洲国家尼日利亚个体的首个磁共振成像（MRI）数据集。该数据集包含具有临床质量的匿名化结构MRI（T1w、T2w、FLAIR）数据，其中有35张来自健康对照受试者的图像、31张来自被诊断患有年龄相关性痴呆的个体的图像以及22张来自患有帕金森病的个体的图像。鉴于非洲有潜力为全球神经科学界做出贡献，这个独特的MRI数据集对于未来研究分享来自非洲大陆的数据而言，既是一个机遇，也是一个基准。
