A labeled Clinical-MRI dataset of Nigerian brains
Eberechi Wogu, Patrick Filima, Bradley Caron, Daniel Levitas, Peer, Herholz, Catherine Leal, Mohammed F. Mehboob, Soichi Hayashi, Simisola, Akintoye, George Ogoh, Tawe Godwin, Damian Eke, Franco Pestilli

TL;DR
This paper introduces a new clinical MRI dataset from Nigeria, including structural brain images from healthy and diseased individuals, addressing the lack of African datasets in neuroscience research.
Contribution
It provides the first publicly available MRI dataset from Nigeria, offering valuable data for future neuroimaging studies on African populations.
Findings
Dataset includes 88 MRI scans from diverse clinical groups.
Addresses data scarcity from the African continent.
Serves as a benchmark for future African neuroimaging research.
Abstract
We describe a Magnetic Resonance Imaging (MRI) dataset from individuals from the African nation of Nigeria. The dataset contains pseudonymized structural MRI (T1w, T2w, FLAIR) data of clinical quality. The dataset contains data from 36 images from healthy control subjects, 32 images from individuals diagnosed with age-related dementia and 20 from individuals with Parkinson's disease. There is currently a paucity of data from the African continent. Given the potential for Africa to contribute to the global neuroscience community, this first MRI dataset represents both an opportunity and benchmark for future studies to share data from the African continent.
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Taxonomy
TopicsBrain Tumor Detection and Classification · Health, Environment, Cognitive Aging
