Abstract
Performance improves when participants respond to events that are structured in repeating sequences, suggesting that learning can lead to proactive anticipatory preparation. Whereas most sequence-learning studies have emphasised spatial structure, most sequences also contain a prominent temporal structure. We used MEG to investigate spatial and temporal anticipatory neural dynamics in a modified serial reaction time (SRT) task. Performance and brain activity were compared between blocks with learned spatial-temporal sequences and blocks with new sequences. After confirming a strong behavioural benefit of spatial-temporal predictability, we show lateralisation of beta oscillations in anticipation of the response associated with the upcoming target location and show that this also aligns to the expected timing of these forthcoming events. This effect was found both when comparing between repeated (learned) and new (unlearned) sequences, as well as when comparing targets that were expected after short vs. long intervals within the repeated (learned) sequence. Our findings suggest that learning of spatial-temporal structure leads to proactive and dynamic modulation of motor cortical excitability in anticipation of both the location and timing of events that are relevant to guide action.
Original language | English |
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Pages (from-to) | 2684-2695 |
Number of pages | 12 |
Journal | European Journal of Neuroscience |
Volume | 48 |
Issue number | 8 |
DOIs | |
Publication status | Published - Oct 2018 |
Externally published | Yes |
Funding
This study was supported by an MRC/EPSRC UK MEG Partnership award (MR/K005464/1) and an MRC Doctoral Training Grant (MR/K501086/1), a James S. McDonnell Foundation Understanding Human Cognition Collaborative Award (220020448), and the National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre. ACN additionally was supported by a Wellcome Trust Senior Investigator Award (104571/Z/14/Z), and FvE was supported by a Marie Skłodowska-Curie Individual Fellowship (ACCESS2WM) from the European Commission. The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z). The authors declare no competing financial interests. We thank Sven Braeutigam for his help with the MEG data acquisition. We thank Andrew Quinn for his help with the MEG data analysis.
Funders | Funder number |
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EPSRC UK MEG | |
James S. McDonnell Foundation | 220020448 |
Wellcome Trust | 104571/Z/14/Z |
H2020 Marie Skłodowska-Curie Actions | ACCESS2WM |
Medical Research Council | MR/K005464/1, MR/K501086/1 |
National Institute for Health and Care Research | |
European Commission | 203139 |
NIHR Oxford Biomedical Research Centre |
Keywords
- beta oscillations
- magnetoencephalography
- sequence learning
- serial reaction time task
- temporal orienting