Evidence map›Paper›PMID 40148323›Full record

ArticleScientific data2025

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 and 6 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. FAIR African brain data: challenges and opportunities.Frontiers in neuroinformatics · 2025
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Eberechi Wogu *University of Port Harcourt, Choba, Rivers State, Nigeria.
Patrick Filima *University of Port Harcourt, Choba, Rivers State, Nigeria.
Bradley Caron *Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-4486-1203
Daniel Deabler *Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-2279-7447
Peer HerholzDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-9840-6257
Catherine LealDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Mohammed F MehboobDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Sohmee KimDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Ananya GosainDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Alisha FlexwalaDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA.
Soichi HayashiIndiana University, Bloomington, Indiana, USA.
Simisola AkintoyeSchool of Computer Science, University of Nottingham, Nottingham, United Kingdom.
George OgohSchool of Computing, University of Nottingham, Nottingham, UK.
Tawe GodwinLifeBridge Medical Diagnostic Center, Garki 2, Abuja, Nigeria.
Damian EkeSchool of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Franco PestilliDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, The University of Texas at Austin, Austin, TX, USA. pestilli@utexas.edu.ORCID http://orcid.org/0000-0002-2469-0494

Funding

BRAIN CONNECTS: Center for Mesoscale ConnectomicsUM1NS132207 · NINDS · UNIVERSITY OF MINNESOTA · PI TANER AKKIN, Damien A Fair · 2023 to 2026
$12.5M
BRAIN CONNECTS: The Axonal Projectome EXchange (APEX)U24NS140384 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI Franco Pestilli, Anastasia Yendiki · 2025 to 2026
$2.3M
A community-driven development of the brain imaging data standard (BIDS) to describe macroscopic brain connectionsR01MH126699 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI PESTILLI, FRANCO · 2021 to 2022
$681k
CRCNS: US-France Data Sharing Proposal: Open science & cloud computing of MEEGR01EB030896 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI PESTILLI, FRANCO, PUCE, AINA · 2020 to 2022
$651k
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscienceR01EB029272 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI BASSETT, DANIELLE SMITH, BETZEL, RICHARD F · 2019 to 2021
$546k
NIBIB NIH HHS R01 EB029272NIBIB NIH HHS R01 EB030896NIMH NIH HHS R01 MH126699NINDS NIH HHS U24 NS140384NINDS NIH HHS UM1 NS132207U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH126699U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) UM1NS132207U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U24ANS140384Wellcome TrustWellcome Trust (Wellcome) 226486/Z/22/Z
6 · The paper itself

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.

Indexed as

BrainMagnetic Resonance ImagingDementiaHumansNeuroimagingNigeriaParkinson Disease

Identifiers

PMID40148323
PMCPMC11950411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.