Nine minutes is enough: An accelerated fMRI protocol for reliable connectivity mapping in healthy young adults
INTRODUCTION: Resting‑state fMRI is widely used to map brain connectivity, yet the field lacks a clear, data‑driven standard for acquisition duration. We compared traditional Single‑Band (SB) imaging with an accelerated Multiband factor 4 (MB4) protocol to identify a time‑efficient approach for capturing stable network topology. METHODS: Twenty‑five healthy young adults completed two sessions one month apart, each including counterbalanced 13‑minute SB and MB4 scans. Test-retest reliability was evaluated across multiple durations using Portrait Divergence, a multiscale graph‑theoretic metric. Supplementary analyses compared Portrait Divergence with the field-standard Intraclass Correlation Coefficient, assessed robustness across preprocessing pipelines and parcellation schemes, and examined MB4's ability to capture both cortical and subcortical connectivity. RESULTS: MB4 consistently outperformed SB across all tested durations, with peak topological stability at 9 minutes. Stability declined beyond this point, likely due to cumulative motion artefacts. Supplementary analyses confirmed MB4's robustness across preprocessing strategies and atlas choices and demonstrated effective whole‑brain coverage. CONCLUSIONS: In healthy young adults, MB4 captures network topology more effectively than SB and reaches peak stability at 9 minutes before declining, challenging the assumption that longer scans are always better. These findings require validation in clinical, paediatric, and geriatric cohorts.
Authors
- Adrian Falkowski (ORCID: https://orcid.org/0000-0002-8744-6202)
- Krzysztof Aleksander Szwed
Institutions
- Bydgoszcz University of Science and Technology (PL)
- Nicolaus Copernicus University (PL)
Publication Details
- Journal
- Dialogues in Clinical Neuroscience
- Published
- 2026-10-14
- DOI
- https://doi.org/10.1080/19585969.2026.2710912
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Uniwersytet Mikolaja Kopernika w Toruniu