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Longer Brain Scans Reduce Costs and Improve Prediction Accuracy in Neuroscience Research

Longer Brain Scans Reduce Costs and Improve Prediction Accuracy in Neuroscience Research

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A groundbreaking study reveals that longer brain scans, specifically 30 minutes, can significantly reduce research costs while enhancing the accuracy of predictive models in neuroscience. This approach challenges traditional short-scan methods, offering a smarter way to conduct brain research and improve personalized healthcare.

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Recent research published in Nature highlights the benefits of extending brain scan durations to enhance the accuracy of predictive models in neuroscience while also lowering research costs. Led by Associate Professor Thomas Yeo from the National University of Singapore, the study challenges the traditional approach of scanning many individuals briefly, often around 10 minutes, to gather large datasets. Instead, the team demonstrates that longer scans, specifically 30 minutes, can provide richer data per individual, enabling AI models to make more accurate predictions about cognitive abilities, mental health risks, and clinical outcomes.

The study addresses a critical question in neuroimaging research: is it more cost-effective to scan more people for shorter periods or fewer people for longer durations? Considering the high costs associated with participant recruitment, scheduling, and administrative efforts, the researchers developed a mathematical model to analyze how scan time and participant numbers impact prediction performance. Validated against multiple international imaging datasets, their findings suggest that a 30-minute scan strikes an optimal balance — offering significant cost savings of up to 22% while maintaining, or even improving, the accuracy of predictions.

This paradigm shift indicates that increasing the quality of data collected from each individual can be as crucial as increasing sample size. The researchers believe this approach could reshape how neuroscience and mental health studies are designed, especially for hard-to-recruit populations such as patients with rare neurological disorders. Moving forward, the team is refining their model with real-world clinical data and emerging imaging technologies, aiming to make neuroimaging research more efficient and accessible worldwide.

The implications extend beyond research, potentially influencing clinical practices by facilitating more personalized and cost-effective healthcare solutions. Experts suggest that longer, more detailed scans will improve the reliability of brain connectivity estimates, crucial for understanding cognition and disease processes. Overall, this study paves the way for smarter and more affordable brain research, fostering advances in neurology and psychiatry.

Source: https://medicalxpress.com/news/2025-07-global-longer-brain-scans-accurate.html

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