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The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

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dc.contributor.authorPrado, Pavel
dc.contributor.authorMedel, Vicente
dc.contributor.authorGonzalez, Raul
dc.contributor.authorSainz, Agustín
dc.contributor.authorVidal , Victor
dc.contributor.authorSantamaría, Hernando
dc.contributor.authorMoguilner, Sebastian
dc.contributor.authorMejia, Jhony
dc.contributor.authorSlachevsky Chonchol, Andrea
dc.contributor.authorBehrens, Maria
dc.contributor.authorAguillon, David
dc.contributor.authorLopera, Francisco
dc.contributor.authorParra, Mario
dc.contributor.authorMatallana,Diana
dc.contributor.authorMaito, Marcelo
dc.contributor.authorGarcia, Adolfo
dc.contributor.authorCustodio, Nilton
dc.contributor.authorÁvila, Alberto
dc.contributor.authorPiña, Stefanie
dc.contributor.authorBirba, Agustina
dc.contributor.authorFittipaldi, Sol
dc.contributor.authorLegaz, Agustina
dc.contributor.authorIbañez, Agustín
dc.date.accessioned2024-04-17T20:20:04Z
dc.date.available2024-04-17T20:20:04Z
dc.date.issued2023
dc.description.abstractThe Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson's disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21-89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.
dc.description.versionPublicada
dc.identifier.citationPrado P, Medel V, Gonzalez-Gomez R, Sainz-Ballesteros A, Vidal V, Santamaría-García H, Moguilner S, Mejia J, Slachevsky A, Behrens MI, Aguillon D, Lopera F, Parra MA, Matallana D, Maito MA, Garcia AM, Custodio N, Funes AÁ, Piña-Escudero S, Birba A, Fittipaldi S, Legaz A, Ibañez A. The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds. Sci Data. 2023 Dec 9;10(1):889. doi: 10.1038/s41597-023-02806-8
dc.identifier.doihttps://doi.org/10.1038/s41597-023-02806-8
dc.identifier.urihttps://hdl.handle.net/11447/8644
dc.language.isoen
dc.subjectAged 80 and over
dc.subjectAdult
dc.subjectAged
dc.subjectBrain* / pathology
dc.subjectDiffusion Magnetic Resonance Imaging / methods
dc.subjectMagnetic Resonance Imaging / methods
dc.subjectNeuroimaging
dc.subjectMiddle Aged
dc.subjectYoung Adult
dc.titleThe BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
dc.typeArticle
dcterms.accessRightsAcceso Abierto
dcterms.sourceScientific data
dspace.entity.typePublication
relation.isAuthorOfPublicatione25c3d3e-63b5-4e04-951a-12a4989aa772
relation.isAuthorOfPublication.latestForDiscoverye25c3d3e-63b5-4e04-951a-12a4989aa772

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