Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Publication date: Available online 11 December 2019Source: NeuroImageAuthor(s): Thomas A.W. Bolton, Valeria Kebets, Enrico Glerean, Daniela Zöller, Jingwei Li, B.T. Thomas Yeo, César Caballero-Gaudes, Dimitri Van De VilleAbstractThe impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by a composite framewise displacement (FD) score, to regress out models of nuisance variables, and to include average FD as a covariate in group-level analyses.Here, we studied individual motion time courses at time points typically retained in fMRI analyses. We observed that even in this set of putatively clean time points, motion exhibited a very clear spatio-temporal structure, so that we could distinguish subjects into separate groups of movers with varying characteristics.Then, we showed that this spatio-temporal motion cartography tightly relates to a broad array of anthropometric and cognitive factors. Convergent results were obtained from two different analytical perspectives: univariate assessment of behavioural differences across mover subgroups unraveled defining markers, while subsequent multivariate analysis broadened the range of involved factors and clarified that multiple motion/behaviour modes of covariance overlap in the data.Our results demonstrate that even the smaller episodes of motion typi...
Source: NeuroImage - Category: Neuroscience Source Type: research

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