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.

Cite: Petrovskiy E.D.
A dense longitudinal multimodal single-subject rs-fMRI dataset acquired by self-administered scanning
Scientific Data. 2026. V.13. 495 :1-12. DOI: 10.1038/s41597-026-06879-z OpenAlex

Dates:

Submitted:	Oct 15, 2025
Accepted:	Feb 10, 2026
Published online:	Feb 21, 2026

Identifiers:

≡ OpenAlex:

W7130818456

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