Investigating the neural oscillations supporting rapid consolidation of implicit motor sequences

Poster No:

861 

Submission Type:

Abstract Submission 

Authors:

Joshua Hendrikse1, Nermin Aljehany1, Juliet Hosler1, Emily Brooks1, James Coxon1

Institutions:

1Monash University, Melbourne, Victoria

First Author:

Joshua Hendrikse, Dr  
Monash University
Melbourne, Victoria

Co-Author(s):

Nermin Aljehany  
Monash University
Melbourne, Victoria
Juliet Hosler  
Monash University
Melbourne, Victoria
Emily Brooks  
Monash University
Melbourne, Victoria
James Coxon  
Monash University
Melbourne, Victoria

Introduction:

New motor skills are developed 'online' during active practice and consolidated 'offline' at rest. Recent work has established that offline consolidation can occur rapidly across a scale of seconds during brief rest periods (i.e., micro-consolidation) (Bönstrup et al., 2019; Brooks et al., 2024). Beta oscillations across sensorimotor regions are known to support motor skill consolidation in the hours-days following practice (Dayan & Cohen, 2011; Dyck & Klaes, 2024), but whether these same mechanisms are implicated in micro-consolidation remains unclear.

Methods:

Seventy-two participants (18-35 years, 40 female) completed 24 blocks of a serial reaction time task with their non-dominant left hand, with concurrent EEG recording (actiCap Brain Products, 64 channel 10-20 montage). Each block included a 10s practice period in which participants responded to visual cues which followed an implicit 12-item repeating sequence, followed by a 10s rest period.
Supporting Image: Figure1_ohbm.png
 

Results:

Significant improvement in keypresses per second was observed across the training period (p < .001, Cohen's d = 2.35, Figure 1). This learning was primarily attributable to micro-offline gains occurring during rest periods (p = .029, Cohen's d = .064). Event-related spectral perturbation (ERSP) analysis revealed increased beta power across sensorimotor EEG channels during rest, relative to active practice periods (p < .001, Cohen's d = 1.04, Figure 2).
Supporting Image: Figure2_ohbm.png
 

Conclusions:

Our findings implicate sensorimotor beta activity in motor sequence learning. Future research is required to establish the causal role of beta power modulation to consolidation at the micro timescale.

Learning and Memory:

Implicit Memory
Skill Learning 1

Modeling and Analysis Methods:

EEG/MEG Modeling and Analysis 2

Keywords:

Electroencephaolography (EEG)
Motor
Other - motor learning

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

EEG/ERP
Behavior

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

Other, Please list  -   EEGlab, Brainstorm

Provide references using APA citation style.

Bönstrup, M., Iturrate, I., Thompson, R., Cruciani, G., Censor, N., & Cohen, L. G. (2019). A Rapid Form of Offline Consolidation in Skill Learning. Current Biology: CB, 29(8), 1346-1351.e4. https://doi.org/10.1016/j.cub.2019.02.049

Brooks, E., Wallis, S., Hendrikse, J., & Coxon, J. (2024). Micro-consolidation occurs when learning an implicit motor sequence, but is not influenced by HIIT exercise. Npj Science of Learning, 9(1), 23. https://doi.org/10.1038/s41539-024-00238-6

Dayan, E., & Cohen, L. G. (2011). Neuroplasticity subserving motor skill learning. Neuron, 72(3), 443–454. https://doi.org/10.1016/j.neuron.2011.10.008

Dyck, S., & Klaes, C. (2024). Training-related changes in neural beta oscillations associated with implicit and explicit motor sequence learning. Scientific Reports, 14(1), 6781. https://doi.org/10.1038/s41598-024-57285-7

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No