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The role of primary motor cortex in sequence learning: resolving conflicting fMRI evidence from repetition suppression and pattern analysis

View ORCID ProfileEva Berlot, View ORCID ProfileNicola J. Popp, View ORCID ProfileScott T. Grafton, View ORCID ProfileJörn Diedrichsen
doi: https://doi.org/10.1101/2020.08.21.261453
Eva Berlot
1The Brain and Mind Institute, University of Western Ontario, Canada
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  • For correspondence: eva.berlot@gmail.com jdiedric@uwo.ca
Nicola J. Popp
1The Brain and Mind Institute, University of Western Ontario, Canada
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Scott T. Grafton
2Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA, USA
3Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA, USA
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Jörn Diedrichsen
1The Brain and Mind Institute, University of Western Ontario, Canada
4Department of Statistical and Actuarial Sciences, University of Western Ontario, Canada
5Department of Computer Science, University of Western Ontario, Canada
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  • For correspondence: eva.berlot@gmail.com jdiedric@uwo.ca
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Abstract

How does the brain change during learning? Functional magnetic resonance imaging studies have used both pattern analysis and repetition suppression (RS) to detect changes in neuronal representations. In the context of motor sequence learning, the two techniques have provided discrepant findings. Specifically, pattern analysis showed that only premotor and parietal regions, but not primary motor cortex (M1), develop a representation of trained sequences. In contrast, RS suggested trained sequence representations in all these regions. Here we applied both analysis techniques to data from a 5-week finger sequence training study, in which participants executed each sequence twice before switching to a different sequence. While we replicated both previously reported findings in the same paradigm, a more fine-grained analysis revealed that the RS effect in M1 and parietal areas reflect fundamentally different processes. On the first execution, M1 represents especially the first finger of each sequence, which might reflect preparatory processes, and this effect dramatically reduces during the second execution. In contrast, parietal areas represent the identity of a sequence, and this representation stays relatively stable on the second execution, only reducing proportionally to the reduction in overall activity. These results suggest that the RS effect in M1 does not reflect trained sequence representation, but rather the altered communication with higher-order areas. More generally, our study demonstrates that RS can reflect different representational changes in the underlying neuronal population code across regions, emphasizing the importance of combining pattern analysis and RS techniques.

Competing Interest Statement

The authors have declared no competing interest.

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Posted August 21, 2020.
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The role of primary motor cortex in sequence learning: resolving conflicting fMRI evidence from repetition suppression and pattern analysis
Eva Berlot, Nicola J. Popp, Scott T. Grafton, Jörn Diedrichsen
bioRxiv 2020.08.21.261453; doi: https://doi.org/10.1101/2020.08.21.261453
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The role of primary motor cortex in sequence learning: resolving conflicting fMRI evidence from repetition suppression and pattern analysis
Eva Berlot, Nicola J. Popp, Scott T. Grafton, Jörn Diedrichsen
bioRxiv 2020.08.21.261453; doi: https://doi.org/10.1101/2020.08.21.261453

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