Sigma oscillations protect or reinstate motor memory depending on their temporal coordination with slow waves
- KU Leuven, Belgium
- Unversity of Utah, United States
- Universite de Montreal, Canada
- McGill University, Canada
- Concordia University, Canada
- Université de Montréal, Canada
Abstract
Targeted memory reactivation (TMR) during post-learning sleep is known to enhance motor memory consolidation but the underlying neurophysiological processes remain unclear. Here, we confirm the beneficial effect of auditory TMR on motor performance. At the neural level, TMR enhanced slow wave (SW) characteristics. Additionally, greater TMR-related phase-amplitude coupling between slow (0.5-2 Hz) and sigma (12-16 Hz) oscillations after the SW peak was related to higher TMR effect on performance. Importantly, sounds that were not associated to learning strengthened SW-sigma coupling at the SW trough. Moreover, the increase in sigma power nested in the trough of the potential evoked by the unassociated sounds was related to the TMR benefit. Altogether, our data suggest that, depending on their precise temporal coordination during post learning sleep, slow and sigma oscillations play a crucial role in either memory reinstatement or protection against irrelevant information; two processes that critically contribute to motor memory consolidation.
Data availability
All data can be found at https://zenodo.org/record/6642860#.YqoI46hBzD5. The source code is available at https://github.com/judithnicolas/MotorMemory_OpenLoop_TMR
Article and author information
Author details
Funding
Fonds Wetenschappelijk Onderzoek (G0D7918N)
- Judith Nicolas
- Bradley R King
- David Levesque
- Latifa Lazzouni
- Stephan Swinnen
- Julien Doyon
- Julie Carrier
- Genevieve Albouy
Fonds de Recherche du Québec - Santé (RRQNT-2018-264146)
- Judith Nicolas
- Bradley R King
- David Levesque
- Latifa Lazzouni
- Stephan Swinnen
- Julien Doyon
- Julie Carrier
- Genevieve Albouy
Fonds Wetenschappelijk Onderzoek (G0B1419N)
- Genevieve Albouy
Fonds Wetenschappelijk Onderzoek (G099516N)
- Genevieve Albouy
Fonds Wetenschappelijk Onderzoek (1524218N)
- Genevieve Albouy
Fonds Wetenschappelijk Onderzoek (30446199)
- Stephan Swinnen
- Genevieve Albouy
HORIZON EUROPE Marie Sklodowska-Curie Actions (887955)
- Bradley R King
HORIZON EUROPE Marie Sklodowska-Curie Actions (703490)
- Judith Nicolas
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Young healthy volunteers were recruited by local advertisements to participate in the present study. Participants gave written informed consent before participating in this research protocol, approved by the local Ethics Committee (B322201525025) and conducted according to the declaration of Helsinki (2013). The participants received a monetary compensation for their time and effort.
Copyright
© 2022, Nicolas et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 1,966
- views
-
- 377
- downloads
-
- 19
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Sigma oscillations protect or reinstate motor memory depending on their temporal coordination with slow waves
eLife 11:e73930.
https://doi.org/10.7554/eLife.73930
Further reading
-
- Neuroscience
How and why is working memory (WM) capacity limited? Traditional cognitive accounts focus either on limitations on the number or items that can be stored (slots models), or loss of precision with increasing load (resource models). Here, we show that a neural network model of prefrontal cortex and basal ganglia can learn to reuse the same prefrontal populations to store multiple items, leading to resource-like constraints within a slot-like system, and inducing a trade-off between quantity and precision of information. Such ‘chunking’ strategies are adapted as a function of reinforcement learning and WM task demands, mimicking human performance and normative models. Moreover, adaptive performance requires a dynamic range of dopaminergic signals to adjust striatal gating policies, providing a new interpretation of WM difficulties in patient populations such as Parkinson’s disease, ADHD, and schizophrenia. These simulations also suggest a computational rather than anatomical limit to WM capacity.
-
- Neuroscience
Evidence accumulation models (EAMs) are the dominant framework for modeling response time (RT) data from speeded decision-making tasks. While providing a good quantitative description of RT data in terms of abstract perceptual representations, EAMs do not explain how the visual system extracts these representations in the first place. To address this limitation, we introduce the visual accumulator model (VAM), in which convolutional neural network models of visual processing and traditional EAMs are jointly fitted to trial-level RTs and raw (pixel-space) visual stimuli from individual subjects in a unified Bayesian framework. Models fitted to large-scale cognitive training data from a stylized flanker task captured individual differences in congruency effects, RTs, and accuracy. We find evidence that the selection of task-relevant information occurs through the orthogonalization of relevant and irrelevant representations, demonstrating how our framework can be used to relate visual representations to behavioral outputs. Together, our work provides a probabilistic framework for both constraining neural network models of vision with behavioral data and studying how the visual system extracts representations that guide decisions.
