Evidence map›Paper›PMID 37986723›Full record

ArticleArXiv2023

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 and 3 more

Open access · goldAbstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 24% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Eberechi WoguUniversity of Port Harcourt, Choba, Rivers State, Nigeria.
Patrick FilimaUniversity of Port Harcourt, Choba, Rivers State, Nigeria.
Bradley CaronThe University of Texas at Austin, TX USA.
Daniel LevitasThe University of Texas at Austin, TX USA.
Peer HerholzThe University of Texas at Austin, TX USA.
Catherine LealThe University of Texas at Austin, TX USA.
Mohammed F MehboobThe University of Texas at Austin, TX USA.
Soichi HayashiThe University of Texas at Austin, TX USA.
Simisola AkintoyeCenter for Law, Justice and Society, De Montfort University, UK.
George OgohCenter for Computing and Social Responsibility, De Montfort University, UK.
Tawe GodwinLifebridge medical diagnostic Center, Garki 2, Abuja Nigeria.
Damian EkeCenter for Law, Justice and Society, De Montfort University, UK.
Franco PestilliThe University of Texas at Austin, TX USA.
The University of Texas at Austin · USUniversity of Nottingham · GBUniversity of Port Harcourt · NGIndiana University Bloomington · US

Funding

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 MH126699Wellcome Trust
6 · The paper itself

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. 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.

Identifiers

PMID37986723
PMCPMC10659454
OpenAlexW4388869715

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.