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

Open Access
Authors
  • A.-T.P. Jäger
  • J.M. Huntenburg
  • S.A. Tremblay
  • U. Schneider
  • S. Grahl
  • J. Huck
  • C.L. Tardif
  • A. Villringer
  • C.J. Gauthier
  • P.-L. Bazin ORCID logo
  • C.J. Steele
Publication date 04-2022
Journal Brain Structure and Function
Volume | Issue number 227 | 3
Pages (from-to) 793-807
Number of pages 15
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract

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.

Document type Article
Language English
Published at https://doi.org/10.1007/s00429-021-02412-7
Other links https://github.com/AthSchmidt/MMPI/tree/master/preprocessing https://github.com/neuralabc/SPFT
Downloads
s00429-021-02412-7 (Final published version)
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