A labeled Clinical-MRI dataset of Nigerian brains

Eberechi Wogu; Patrick Filima; Bradley Caron; Daniel Deabler; Peer Herholz; Catherine Leal; Mohammed F. Mehboob; Sohmee Kim; Ananya Gosain; Alisha Flexwala; Soichi Hayashi; Simisola Akintoye; George Ogoh; Tawe Godwin; Damian Eke; Franco Pestilli

doi:10.1038/s41597-025-04743-0

A labeled Clinical-MRI dataset of Nigerian brains

Eberechi Wogu, Patrick Filima, Bradley Caron, Daniel Deabler, Peer Herholz, Catherine Leal, Mohammed F. Mehboob, Sohmee Kim, Ananya Gosain, Alisha Flexwala, Soichi Hayashi, Simisola Akintoye, George Ogoh, Tawe Godwin, Damian Eke, Franco Pestilli^*

^*Corresponding author for this work

Communication Sciences and Disorders

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Article number	518
Journal	Scientific Data
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41597-025-04743-0
State	Published - Dec 2025

Funding

National Science Foundation (NSF) awards 1916518, 1912270, 1636893, and 1734853. National Institutes of Health awards (NIH) R01MH126699, R01EB030896, R01EB029272, U24NS140384, and a Microsoft Investigator Fellowship to Franco Pestilli. NIH UM1-NS132207 to K. Ugurbil. A Wellcome Trust award (226486/Z/22/Z) and gifts from the Kavli Foundation to Franco Pestilli and Damian Eke.

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

Access to Document

10.1038/s41597-025-04743-0

Cite this

@article{7fce80a7f89e40df8244c5b569589ea8,

title = "A labeled Clinical-MRI dataset of Nigerian brains",

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{\textquoteright}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.",

author = "Eberechi Wogu and Patrick Filima and Bradley Caron and Daniel Deabler and Peer Herholz and Catherine Leal and Mehboob, {Mohammed F.} and Sohmee Kim and Ananya Gosain and Alisha Flexwala and Soichi Hayashi and Simisola Akintoye and George Ogoh and Tawe Godwin and Damian Eke and Franco Pestilli",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.",

year = "2025",

month = dec,

doi = "10.1038/s41597-025-04743-0",

language = "English (US)",

volume = "12",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Research",

number = "1",

}

TY - JOUR

T1 - A labeled Clinical-MRI dataset of Nigerian brains

AU - Wogu, Eberechi

AU - Filima, Patrick

AU - Caron, Bradley

AU - Deabler, Daniel

AU - Herholz, Peer

AU - Leal, Catherine

AU - Mehboob, Mohammed F.

AU - Kim, Sohmee

AU - Gosain, Ananya

AU - Flexwala, Alisha

AU - Hayashi, Soichi

AU - Akintoye, Simisola

AU - Ogoh, George

AU - Godwin, Tawe

AU - Eke, Damian

AU - Pestilli, Franco

PY - 2025/12

Y1 - 2025/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=105001475452&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=105001475452&partnerID=8YFLogxK

U2 - 10.1038/s41597-025-04743-0

DO - 10.1038/s41597-025-04743-0

M3 - Article

C2 - 40148323

AN - SCOPUS:105001475452

SN - 2052-4463

VL - 12

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 518

ER -

A labeled Clinical-MRI dataset of Nigerian brains

Abstract

Funding

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this