A dense longitudinal multimodal single-subject rs-fMRI dataset acquired by self-administered scanning

TL;DR

A single person collected extensive brain scans over 11 months using a clinical MRI scanner, creating a dataset for studying brain function and variability over time.

Contribution

This study provides a unique, dense longitudinal multimodal dataset collected through self-administered MRI scans, enabling methodological and educational applications.

Findings

The dataset includes 85 hours of resting-state fMRI and multiple other modalities collected over 11 months.

Self-administered scanning achieved sub-3 mm positioning reproducibility in later sessions.

Quality control identified 58 hours of low-motion data suitable for analysis.

Abstract

Dense longitudinal neuroimaging usually requires substantial institutional resources, yet can also be achieved by an individual using standard clinical MRI infrastructure. This work presents a multimodal single-subject dataset comprising 85 hours of resting-state fMRI acquired over 11 months, including 51.6 hours under a standardized protocol (paired eyes-open/-closed runs, 128 sessions over 7.5 months). Additional data include 195 T1-weighted structural scans, 54 diffusion MRI sessions, physiological recordings, pre-session behavioral assessments, and detailed medication and lifestyle logs. Scans were collected primarily via self-administered acquisition on a clinical 3 T system, with sub-3 mm between-session positioning reproducibility observed in later sessions. Quality control identified 58 hours of low-motion data (mean framewise displacement <0.2 mm), with higher-motion runs occurring predominantly during sleep. The acquisition period included antidepressant dose changes and seasonal variation, forming a single-subject naturalistic context with collinear factors that preclude causal inference. The dataset follows the BIDS standard and is intended for methodological development, reliability analyses, preprocessing benchmarking, and educational use.

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