Реферат: 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.

Библиографическая ссылка: 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

Даты:

Поступила в редакцию:	15 окт. 2025 г.
Принята к публикации:	10 февр. 2026 г.
Опубликована online:	21 февр. 2026 г.

Идентификаторы БД:

≡ OpenAlex:

W7130818456

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