{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-labeled-clinical-mri-dataset-of-nigerian","title":"A labeled Clinical-MRI dataset of Nigerian brains","arxiv_id":"2311.04425","date":"2023-11-08","proceeding":null,"authors":["Eberechi Wogu","Patrick Filima","Bradley Caron","Daniel Levitas","Peer Herholz","Catherine Leal","Mohammed F. Mehboob","Soichi Hayashi","Simisola Akintoye","George Ogoh","Tawe Godwin","Damian Eke","Franco Pestilli"],"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. The 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.","url_abs":"https://arxiv.org/abs/2311.04425v1","url_pdf":"https://arxiv.org/pdf/2311.04425v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-labeled-clinical-mri-dataset-of-nigerian","repo_url":"https://github.com/bacaron/nigerian_brain_analyses","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}