Ooi2025 Optimal Scan Time Calculator
Citation
Ooi LQR*, Orban C*, Zhang S*, Nichols TE, ..., Yeo BTT. Longer scans boost prediction and cut costs in brain-wide association studies. bioRxiv, 2024.
Code for this study is publicly available in the GitHub repository maintained by the Computational Brain Imaging Group. Code specific to the analyses in this study can be found here.
Description
A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration given fixed
resources. Here, we provide a tool that calculates the achievable individual-level prediction accuracy
with different combinations of fMRI sample size and scan durations, after taking into account other
related costs. This tool was built on 6 diverse datasets spanning phenotypic domains (cognition,
personality, physical attributes, mental health, PET measures, etc), scanners (Siemens, GE and Philips),
acquisition protocols (single-echo-single-band, single-echo-multi-band, multi-echo-multi-band),
continents (North America and East Asia), health status (healthy, psychiatric disorders, mild cognitive
impairment, Alzheimer's disease), age groups (children, young adults, elderly), as well as resting-state
and task-state functional connectivity. Our study found that the optimal scan time range was largely
consistent across datasets, indicating that this calculator is likely to be applicable to a wide range
of use cases.
Prediction accuracy given sample size N and scan duration T
Enter your own N and T
Updates
v0.01 (05/11/2024): Initial release of web app
Bugs and questions: Please contact Leon Ooi (leonooiqr@gmail.com), Shaoshi Zhang
(0zhangshaoshi0@gmail.com) or Thomas Yeo (yeoyeo02@gmail.com).