Cell ReportsNeurosciencePeer-reviewed journal article
Entrainment to sleep spindles reflects dissociable patterns of connectivity between cortex and basal ganglia
Aviv D. Mizrahi-KligeriD, Alexander KaplaniD, Zvi H. IsraeliD, Hagai BergmaniD
Abstract
Communication between the basal ganglia (BG) and cortex is crucial for behavior as it allows learning through external reinforcement. Non-REM sleep benefits learning in the corticostriatal system through the sleep spindle-associated reactivation of previously active neuronal ensembles and the subsequent modification of synaptic weights. However, how sleep spindles coordinate cross-region spiking, and whether spindle-driven reactivation occurs in other BG structures, remains unknown. We recorded field potentials (FP) and spiking activity in cortex and BG during sleep in two non-human primates immediately following a task that involved the learning of new cue-reward contingencies. FP sleep spindles were widespread in the BG, and they were similar to cortical spindles in morphology, spectral content and response to learning prior to sleep. Further, BG FP spindles were concordant with EEG spindles and associated with increased cortico-BG correlation. However, spindles across the BG differed markedly in their entrainment of local spiking. The spiking activity of striatal projection neurons exhibited consistent phase locking to striatal FP spindles and EEG spindles, producing phase windows of peaked cross-region spindling. In contrast, in the subthalamic nucleus (STN), which like the striatum receives substantial thalamocortical input, and in BG nuclei downstream to the striatum and STN, neuronal firing was not entrained to either local or EEG sleep spindles. These results dissociate striatal projection neurons from the rest of the BG, and suggest corticostriatal synapses as the main hub for offline communication between cortex and BG.
- organism: non-human primate
- assay: electronic health records
- research focus: cell-cell communication
- research focus: spatial domain detection
- research focus: differential expression
- approach: experimental assay
- Citations
- 8
- FWCI
- 0.90
- Field percentile
- top 31%
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