Abstract
Implicit visuomotor sequence learning is important for our daily life, e.g., when writing or playing an instrument. Previous research identified a network of cortical regions that is relevant for motor sequence learning, namely primary motor cortex, premotor cortex, superior parietal cortex, and subcortical regions, including basal ganglia and cerebellum. Here, we investigated learning-related changes in oscillatory activity (theta, alpha and gamma power) and cross-frequency interactions (theta- and alpha-gamma phase-amplitude coupling) within cortical regions during sensorimotor memory formation. EEG was recorded from a large group of participants (n = 73) performing the serial reaction time task (SRTT). Posterior parietal alpha power was larger early-on during sequence learning and smaller in later sessions. Alpha/low-gamma (8–13 Hz and 30–48 Hz) phase-amplitude coupling (PAC) was significantly smaller during sequence learning over right superior parietal cortex and frontal cortex. During the transition from sequential stimuli to random stimuli, participants made more errors, indicating that they still implicitly attempted to implement the learned motor sequence. At the same time, alpha/low-gamma phase-amplitude coupling was found to be smaller during the transition relative to later random trials. Our results show that learning and implementing a learned motor sequence reduces alpha/low-gamma PAC over parietal and frontal cortex. Fronto-parietal alpha/low-gamma PAC might be relevant for visuomotor mapping which becomes less relevant once the motor sequence has been encoded.
| Original language | English |
|---|---|
| Journal | NeuroImage |
| Volume | 141 |
| Pages (from-to) | 60-70 |
| Number of pages | 11 |
| ISSN | 1053-8119 |
| DOIs | |
| Publication status | Published - 01.11.2016 |
Funding
This work was supported by funding granted to R.V. by the German Research Foundation (DFG) within the Collaborative Research Center “Plasticity and Sleep”, SFB 654 , project A02. The authors declare no competing financial interests. We are grateful to Eike Bruns, Jens Rodeck, and Annemarie Seitz for their help in EEG recordings. We thank Frederike Beyer and Matthias Liebrand for helpful discussions on this work. Appendix A
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)