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

• Published in: Scientific data Vol. 10; no. 1; pp. 889 - 13
• Main Authors: Prado, Pavel, Medel, Vicente, Gonzalez-Gomez, Raul, Sainz-Ballesteros, Agustín, Vidal, Victor, Santamaría-García, Hernando, Moguilner, Sebastian, Mejia, Jhony, Slachevsky, Andrea, Behrens, Maria Isabel, Aguillon, David, Lopera, Francisco, Parra, Mario A., Matallana, Diana, Maito, Marcelo Adrián, Garcia, Adolfo M., Custodio, Nilton, Funes, Alberto Ávila, Piña-Escudero, Stefanie, Birba, Agustina, Fittipaldi, Sol, Legaz, Agustina, Ibañez, Agustín
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.12.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/1689/364; 692/308/53; Adult; Aged; Aged, 80 and over; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Brain - pathology; Brain mapping; Cognitive ability; Data Descriptor; Datasets; Dementia; Dementia disorders; Diffusion Magnetic Resonance Imaging - methods; EEG; Frontotemporal dementia; Functional magnetic resonance imaging; Humanities and Social Sciences; Humans; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Middle Aged; Movement disorders; multidisciplinary; Multiple sclerosis; Neurodegeneration; Neurodegenerative diseases; Neuroimaging; Parkinson's disease; R&D; Research & development; Science; Science (multidisciplinary); Young Adult
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-023-02806-8

The 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.