Longer scans boost prediction and cut costs in brain-wide association studies (HCP and TCP parcellated timecourses)

Longer scans boost prediction and cut costs in brain-wide association studies (ME) This repository contains the data release for the HCP and TCP data used in the following study. REFERENCE Ooi LQR*, Orban C*, Zhang S*, Nichols TE, ..., Yeo BTT. Longer scans boost prediction and cut costs in brain-wide association studies. bioRxiv, 2025. BACKGROUND A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration given fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide association studies (BWAS) using resting-state functional magnetic resonance imaging (fMRI). We show that sample size and scan duration are broadly interchangable below 30 minutes. We explain the influence of sample size and scan duration with a theoretical model. Finally, we investigate how accounting for costs impacts study design. Our online calculator is available here. Data release This repository contains input data and results from our study for the HCP and TCP dataset. The main repository for the codes used in this project can be found here: Ooi2024_ME. This repository is contains the following folders:1. HCP subject list : List of HCP participants used in the main analysis using rest fMRI.2. HCP rest parcellated time series: MAT file containing Schaefer 400 parcellation for each HCP study participant used in the analysis.3. TCP subject list : List of TCP participants used in the main analysis using rest fMRI.4. TCP rest parcellated time series: MAT file containing Schaefer 400 parcellation for each TCP study participant used in the analysis. UPDATES - Release v0.0.1 (29/4/2025): Initial release of HCP and TCP repositories for Ooi2024_ME project BUGS and QUESTIONS Please contact Leon Ooi ([e-mail]), Csaba Orban ([e-mail]), Zhang Shaoshi ([e-mail]) and Thomas Yeo ([e-mail]).