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Motor sequences; separating the sequence from the motor: A longitudinal rsfMRI study

MPG-Autoren
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Jäger,  Anna-Thekla
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Center for Stroke Research, Charité University Medicine Berlin, Germany;

Schneider,  Uta
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Center for Stroke Research, Charité University Medicine Berlin, Germany;
Clinic for Cognitive Neurology, University of Leipzig, Germany;
Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;

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Bazin,  Pierre-Louis
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Faculty of Social and Behavioural Science, Cognitive Science Center Amsterdam, University of Amsterdam, the Netherlands;

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Steele,  Christopher
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Psychology, Concordia University, Montréal, QC, Canada;

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Zitation

Jäger, A.-T., Huntenburg, J. M., Tremblay, S. A., Schneider, U., Grahl, S., Huck, J., et al. (2022). Motor sequences; separating the sequence from the motor: A longitudinal rsfMRI study. Brain Structure & Function, 227(3), 793-807. doi:10.1007/s00429-021-02412-7.


Zitierlink: https://hdl.handle.net/21.11116/0000-0009-9637-0
Zusammenfassung
In motor learning, sequence specificity, i.e. the learning of specific sequential associations, has predominantly been studied using task-based fMRI paradigms. However, offline changes in resting state functional connectivity after sequence-specific motor learning are less well understood. Previous research has established that plastic changes following motor learning can be divided into stages including fast learning, slow learning and retention. A description of how resting state functional connectivity after sequence-specific motor sequence learning (MSL) develops across these stages is missing. This study aimed to identify plastic alterations in whole-brain functional connectivity after learning a complex motor sequence by contrasting an active group who learned a complex sequence with a control group who performed a control task matched for motor execution. Resting state fMRI and behavioural performance were collected in both groups over the course of 5 consecutive training days and at follow-up after 12 days to encompass fast learning, slow learning, overall learning and retention. Between-group interaction analyses showed sequence-specific decreases in functional connectivity during overall learning in the right supplementary motor area (SMA). We found that connectivity changes in a key region of the motor network, the superior parietal cortex (SPC) were not a result of sequence-specific learning but were instead linked to motor execution. Our study confirms the sequence-specific role of SMA that has previously been identified in online task-based learning studies, and extends it to resting state network changes after sequence-specific MSL.