Can this data be saved? Techniques for high motion in resting state scans of first grade children

• DOI: 10.1016/j.dcn.2022.101178
• Publication Date: 2022-11-17T08:10:04Z
• Authors: Jolinda Smith; Eric Wilkey; Ben Clarke; Lina Shanley; Virany Men; Damien Fair; Fred W. Sabb
• Keywords: Censoring (clinical trials)

Motion remains a significant technical hurdle in fMRI studies of young children. Our aim was to develop straightforward and effective method for obtaining preprocessing resting state data from high-motion pediatric cohort. This approach combines real-time monitoring head motion with pipeline that uses volume censoring concatenation alongside independent component analysis based denoising. We evaluated this using sample 108 first grade children (age 6-8) enrolled longitudinal study math development. Data quality assessed by analyzing the correlation between participant two key metrics data, temporal signal-to-noise functional connectivity. These correlations should be minimal absence noise-related artifacts. compared these indicators several thresholds determine necessary degree censoring. Volume highly at removing motion-corrupted volumes ICA denoising removed much remaining artifact. With threshold set exclude exceeded framewise displacement 0.3 mm, preprocessed met rigorous standards while retaining large majority subjects (83 % participants). Overall, results show it is possible obtain usable resting-state despite extreme group young, untrained subjects.