Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study
| Authors |
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| Publication date | 04-2022 |
| Journal | Brain Structure and Function |
| Volume | Issue number | 227 | 3 |
| Pages (from-to) | 793-807 |
| Number of pages | 15 |
| Organisations |
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| 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
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