A labeled Clinical-MRI dataset of Nigerian brains

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 dia...

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Autores principales: Wogu, Eberechi, Filima, Patrick, Caron, Bradley, Levitas, Daniel, Herholz, Peer, Leal, Catherine, Mehboob, Mohammed F., Hayashi, Soichi, Akintoye, Simisola, Ogoh, George, Godwin, Tawe, Eke, Damian, Pestilli, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659454/
https://www.ncbi.nlm.nih.gov/pubmed/37986723
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author Wogu, Eberechi
Filima, Patrick
Caron, Bradley
Levitas, Daniel
Herholz, Peer
Leal, Catherine
Mehboob, Mohammed F.
Hayashi, Soichi
Akintoye, Simisola
Ogoh, George
Godwin, Tawe
Eke, Damian
Pestilli, Franco
author_facet Wogu, Eberechi
Filima, Patrick
Caron, Bradley
Levitas, Daniel
Herholz, Peer
Leal, Catherine
Mehboob, Mohammed F.
Hayashi, Soichi
Akintoye, Simisola
Ogoh, George
Godwin, Tawe
Eke, Damian
Pestilli, Franco
author_sort Wogu, Eberechi
collection PubMed
description 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.
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spelling pubmed-106594542023-11-08 A labeled Clinical-MRI dataset of Nigerian brains Wogu, Eberechi Filima, Patrick Caron, Bradley Levitas, Daniel Herholz, Peer Leal, Catherine Mehboob, Mohammed F. Hayashi, Soichi Akintoye, Simisola Ogoh, George Godwin, Tawe Eke, Damian Pestilli, Franco ArXiv Article 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. Cornell University 2023-11-08 /pmc/articles/PMC10659454/ /pubmed/37986723 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Wogu, Eberechi
Filima, Patrick
Caron, Bradley
Levitas, Daniel
Herholz, Peer
Leal, Catherine
Mehboob, Mohammed F.
Hayashi, Soichi
Akintoye, Simisola
Ogoh, George
Godwin, Tawe
Eke, Damian
Pestilli, Franco
A labeled Clinical-MRI dataset of Nigerian brains
title A labeled Clinical-MRI dataset of Nigerian brains
title_full A labeled Clinical-MRI dataset of Nigerian brains
title_fullStr A labeled Clinical-MRI dataset of Nigerian brains
title_full_unstemmed A labeled Clinical-MRI dataset of Nigerian brains
title_short A labeled Clinical-MRI dataset of Nigerian brains
title_sort labeled clinical-mri dataset of nigerian brains
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659454/
https://www.ncbi.nlm.nih.gov/pubmed/37986723
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