Coupling of Slow Oscillations in the Prefrontal and Motor Cortex Predicts Onset of Spindle Trains and Persistent Memory Reactivations
Sleep is known to drive the consolidation of motor memories. During nonrapid eye movement (NREM) sleep, the close temporal proximity between slow oscillations (SOs) and spindles ("nesting" of SO-spindles) is known to be essential for consolidation, likely because it is closely associated with the reactivation of awake task activity. Interestingly, recent work has found that spindles can occur in temporal clusters or "trains." However, it remains unclear how spindle trains are related to the nesting phenomenon. Here, we hypothesized that spindle trains are more likely when SOs co-occur in the prefrontal and motor cortex. We conducted simultaneous neural recordings in the medial prefrontal cortex (mPFC) and primary motor cortex (M1) of male rats training on the reach-to-grasp motor task. We found that intracortically recorded M1 spindles are organized into distinct temporal clusters. Notably, the occurrence of temporally precise SOs between mPFC and M1 was a strong predictor of spindle trains. Moreover, reactivation of awake task patterns is much more persistent during spindle trains in comparison with that during isolated spindles. Together, our work suggests that the precise coupling of SOs across mPFC and M1 may be a potential driver of spindle trains and persistent reactivation of motor memory during NREM sleep.
Authors
- David Darevsky (ORCID: https://orcid.org/0000-0001-5023-8939)
- Karunesh Ganguly (ORCID: https://orcid.org/0000-0002-2570-9943)
- Jaekyung Kim (ORCID: https://orcid.org/0000-0002-8390-8801)
Institutions
- San Francisco VA Medical Center (US)
- University of California, San Francisco (US)
- University of California San Francisco Medical Center (US)
Publication Details
- Journal
- Journal of Neuroscience
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1523/jneurosci.0621-24.2024
- Citations
- 5
- Primary Topic
- Sleep and Wakefulness Research
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health