ArticleScientific data2023
The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroimaging Meta-Analyses Reveal Convergence of Interoception, Emotion, and Social Cognition Across Neurodegenerative Diseases.Biological psychiatry · 2025Pooled it
- Generalizability of EEG-Based DEMENTIA Classifiers: A Multicenter study of Alzheimer's, MCI, and FTD.medRxiv : the preprint server for health sciences · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026Review
- Source-space EEG alpha activity reveals brain age gaps due to neurodegeneration and disparity.Communications biology · 2026Article
- Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mapping the neurovascular landscape in aging and dementia: cerebral small vessel disease markers in a multicenter Latin American cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Domain-adapted language model using reinforcement learning for various dementias.medRxiv : the preprint server for health sciences · 2026Article
- EENet-RLA: An Explainable Prediction Learning Framework for Alzheimer's Disease Classification from EEG Signals.Brain topography · 2026Article
- The landscape of dementia research, diagnosis, treatment, and care in Latin America.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Hybrid multimodal late fusion frameworks for bvFTD classification in imbalanced dementia datasets.Frontiers in aging neuroscience · 2026Article
- Computational whole-body-exposome models for global precision brain health.Nature communications · 2025Article
- Cardiovascular risk factors and the allostatic interoceptive network in dementia.Cardiovascular research · 2025Article
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia.Nature. Mental health · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- Cardiometabolic state links neurovascular burden with brain structure and function: Evidence from EEG and MRI.NeuroImage · 2025Article
- DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.Nature aging · 2025Article
- EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models.Scientific reports · 2025Article
- An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortality.bioRxiv : the preprint server for biology · 2025Article
- GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals.Patterns (New York, N.Y.) · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
23 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.