Abstract:
:The 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 typically retained in fMRI analyses carry structured, behaviourally relevant information. They call for further examinations of possible biases in current regression-based motion correction strategies.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Bolton TAW,Kebets V,Glerean E,Zöller D,Li J,Yeo BTT,Caballero-Gaudes C,Van De Ville Ddoi
10.1016/j.neuroimage.2019.116433subject
Has Abstractpub_date
2020-04-01 00:00:00pages
116433eissn
1053-8119issn
1095-9572pii
S1053-8119(19)31024-9journal_volume
209pub_type
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