Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years.

Abstract

Resting-state functional MRI (rs-fMRI) permits study of the brain's functional networks without requiring participants to perform tasks. Robust changes in such resting state networks (RSNs) have been observed in neurologic disorders, and rs-fMRI outcome measures are candidate biomarkers for monitoring clinical trials, including trials of extended therapeutic interventions for rehabilitation of patients with chronic conditions. In this study, we aim to present a unique longitudinal dataset reporting on a healthy adult subject scanned weekly over 3.5 years and identify rs-fMRI outcome measures appropriate for clinical trials. Accordingly, we assessed the reproducibility, and characterized the temporal structure of, rs-fMRI outcome measures derived using independent component analysis (ICA). Data was compared to a 21-person dataset acquired on the same scanner in order to confirm that the values of the single-subject RSN measures were within the expected range as assessed from the multi-participant dataset. Fourteen RSNs were identified, and the inter-session reproducibility of outcome measures-network spatial map, temporal signal fluctuation magnitude, and between-network connectivity (BNC)-was high, with executive RSNs showing the highest reproducibility. Analysis of the weekly outcome measures also showed that many rs-fMRI outcome measures had a significant linear trend, annual periodicity, and persistence. Such temporal structure was most prominent in spatial map similarity, and least prominent in BNC. High reproducibility supports the candidacy of rs-fMRI outcome measures as biomarkers, but the presence of significant temporal structure needs to be taken into account when such outcome measures are considered as biomarkers for rehabilitation-style therapeutic interventions in chronic conditions.

• Authors: Ann S Choe, Craig K Jones, Suresh E Joel, John Muschelli, Visar Belegu, Brian S Caffo, Martin A Lindquist, Peter C M van Zijl, James J Pekar
• Journal: PloS one (PLoS One) Vol. 10 Issue 10 Pg. e0140134 ( 2015) ISSN: 1932-6203 [Electronic] United States
• PMID: 26517540 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, Non-P.H.S.)

Topics

• Adult
• Brain (physiology)
• Brain Mapping (methods)
• Female
• Humans
• Longitudinal Studies
• Magnetic Resonance Imaging (instrumentation, methods)
• Male
• Middle Aged
• Reproducibility of Results
• Rest (physiology)
• Young Adult