Feasibility of Large-Scale Neuroimaging Data Collection in Low-Income Communities
A new study demonstrates the successful and cost-effective collection of high-quality neuroimaging data in low- and middle-income communities, paving the way for more inclusive and scalable brain research.
Recent advancements in neuroimaging research have demonstrated that collecting high-quality brain data on a large scale is achievable even within low- and middle-income communities. A groundbreaking study published in eNeuro showcases the successful implementation of programs in India and Tanzania that facilitate neuroimaging data collection from thousands of participants. Led by Tara Thiagarajan of Sapiens Labs, the study emphasizes the significance of structured methodologies, including training non-specialist personnel, forming dedicated data collection teams, and utilizing automated quality monitoring systems to maintain data integrity.
Over 30 weeks, the programs collected data from 7,933 individuals, with data quality comparable to traditional lab-based datasets but at a substantially lower cost. This approach illustrates the potential for scalable neuroimaging research in resource-constrained settings, opening new avenues to understand how environment and genetics influence human brain development across diverse populations.
While the data are not publicly available yet, the researchers plan to share their findings continuously by 2026, aiming to create a real-time neuroimaging database. This initiative represents a significant step towards democratizing neuroscience research, enabling insights into human health and cognition across different socioeconomic backgrounds.
The study highlights the importance of accessible neuroimaging methods for global health and underscores the potential of this scalable approach to foster more inclusive scientific discoveries.
Source: https://medicalxpress.com/news/2025-07-large-scale-neuroimaging-feasible-income.html
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