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

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.

Afiliación

Wogu E; University of Port Harcourt, Choba, Rivers State, Nigeria.
Filima P; University of Port Harcourt, Choba, Rivers State, Nigeria.
Caron B; The University of Texas at Austin, TX USA.
Levitas D; The University of Texas at Austin, TX USA.
Herholz P; The University of Texas at Austin, TX USA.
Leal C; The University of Texas at Austin, TX USA.
Mehboob MF; The University of Texas at Austin, TX USA.
Hayashi S; The University of Texas at Austin, TX USA.
Akintoye S; Center for Law, Justice and Society, De Montfort University, UK.
Ogoh G; Center for Computing and Social Responsibility, De Montfort University, UK.
Godwin T; Lifebridge medical diagnostic Center, Garki 2, Abuja Nigeria.
Eke D; Center for Law, Justice and Society, De Montfort University, UK.
Pestilli F; The University of Texas at Austin, TX USA.

ArXiv ; 2023 Nov 08.

Article en En | MEDLINE | ID: mdl-37986723

ABSTRACT

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.

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article País de afiliación: Nigeria