ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021
Combining Repetition Suppression and Pattern Analysis Provides New Insights into the Role of M1 and Parietal Areas in Skilled Sequential Actions.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Consistent cortico-basal ganglia-cerebellar activation in early motor sequence learning: a systematic review and meta-analysis.Translational psychiatry · 2026Pooled it
- Sensory basis of speech motor learning and memory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Brain activation for actual and imagined hand movement following bilateral hand transplantation.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Motor and Cognitive Sequence Tasks Exhibit Different Ramping Patterns in Parietal and Prefrontal Cortices.Journal of cognitive neuroscience · 2025Article
- Motor Sequence Learning Involves Better Prediction of the Next Action and Optimization of Movement Trajectories.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Cortical Areas for Planning Sequences before and during Movement.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The Hippocampus Preorders Movements for Skilled Action Sequences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Functional Connectivity Profiles of Ten Sub-Regions within the Premotor and Supplementary Motor Areas: Insights into Neurophysiological Integration.Diagnostics (Basel, Switzerland) · 2024Article
- Neural Correlates of Online Action Preparation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Diminished Repetition Suppression Reveals Selective and Systems-Level Face Processing Differences in ASD.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Cortical Patterns Shift from Sequence Feature Separation during Planning to Integration during Motor Execution.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
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4 authors.
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Abstract
How does the brain change during learning? In functional magnetic resonance imaging (fMRI) studies, both multivariate pattern analysis (MVPA) and repetition suppression (RS) have been used to detect changes in neuronal representations. In the context of motor sequence learning, the two techniques have provided discrepant findings: 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 a five-week finger sequence training study, in which participants executed each sequence twice before switching to a different sequence. Both RS and pattern analysis indicated learning-related changes for parietal areas, but only RS showed a difference between trained and untrained sequences in M1. A more fine-grained analysis, however, revealed that the RS effect in M1 reflects a fundamentally different process than in parietal areas. On the first execution, M1 represents especially the first finger of each sequence, likely reflecting preparatory processes. 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. These results suggest that the RS effect does not reflect a trained sequence representation in M1, but rather a preparatory signal for movement initiation. More generally, our study demonstrates that across regions RS can reflect different representational changes in the neuronal population code, emphasizing the importance of combining pattern analysis and RS techniques.
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