A labeled Clinical-MRI dataset of Nigerian brains

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.

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Publication Details

Journal
Scientific Data
Published
2025-03-27
DOI
https://doi.org/10.1038/s41597-025-04743-0
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43

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article

A labeled Clinical-MRI dataset of Nigerian brains

Damian Eke, Ankush Gosain, Soichi Hayashi, Peer Herholz et al.
1 citations
Scientific Data
Functional Brain Connectivity Studies
1.43
article

A labeled Clinical-MRI dataset of Nigerian brains

Damian Eke, Ankush Gosain, Soichi Hayashi, Peer Herholz, Simisola Akintoye, Daniel Levitas, Franco Pestilli, Sohmee Kim, Bradley Caron, George Ogoh, Eberechi Wogu, Tawe Godwin, Patrick Filima, Mohammed F. Mehboob, Catherine Leal, Alisha Flexwala
article en
1 citations

Abstract

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.

Scientific DataVol. 12(1)
University of Port Harcourt (NG), University of Nottingham (GB), Indiana University Bloomington (US), The University of Texas at Austin (US)
National Science Foundation, Kavli Foundation, Wellcome, Wellcome Trust, National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 24%
Functional Brain Connectivity Studies
1.43
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