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Abstract #3865

Fingerprinting individual subjects from resting-state functional magnetic resonance imaging head motion

Thomas Bolton1,2, Stefano Moia3, Eneko Urunuela3, Dimitri Van De Ville1,2, and César Caballero-Gaudes3
1Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 3Basque Center on Cognition, Brain and Language, San Sebastian, Spain

Head motion during resting-state functional magnetic resonance imaging acquisitions is an infamous confound requiring dedicated preprocessing steps. Here, we probed the level of complexity at which motion should be characterised. To do so, we designed a clustering-based approach that determines the spatio-temporal motion patterns that can fingerprint an individual. We found that each subject's motion could be fingerprinted at a different space/time granularity, some more easily than others. Our results call for refined motion descriptions in which space and time should not be over-simplified, and point towards the relevance of motion-related fingerprints as an individual's functional trait.

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