NatureNeurosciencePeer-reviewed journal article
Neocortical long-range inhibition promotes cortical synchrony and sleep
Jacob M RatliffiD, Geoffrey TerraliD, Arenski VazqueziD, Stefano LutzuiD, Arena ManningiD, Nelson A. Perez-CatalaniD, Gabriela Neubert da Silva, Soyoun KimiD, Julie Mota, Matthew MalloryiD, Bianca Stith, Charu RamakrishnaniD, Gianna Mattessich, Lief E. FennoiD, Tanya L. DaigleiD, David A. StaffordiD, Hongkui ZengiD, Bosiljka TasiciD, Staci A. SorenseniD, Karl A. DeisserothiD, John NgaiiD, Thomas S. KilduffiD, Lucas SjulsoniD, Stephanie RudolphiD, Renata Batista‐BritoiD
Abstract
Sleep and wakefulness are associated with distinct cortical patterns of rhythmic activity. During low-arousal states such as slow wave sleep, synchronous low-frequency rhythms dominate activity across widespread cortical regions. Although inhibitory neurons are increasingly recognized as key players of cortical state, the in vivo circuit mechanisms coordinating synchronized activity across local and distant neocortical networks remain poorly understood. Here, we show that somatostatin and chondrolectin co-expressing cells (Sst-Chodl), a sparse and genetically distinct class of neocortical GABAergic inhibitory neurons, are selectively active during low-arousal states and largely silent during periods of high arousal. In contrast to most neocortical inhibitory neurons, Sst-Chodl cells, despite being extremely sparse, exert widespread influence across the neocortex via long-range axons that simultaneously target multiple regions. Selective activation of Sst-Chodl cells is sufficient to promote multi-region cortical synchronization characteristic of low-arousal states and to induce sleep. Together, these findings show that long-range Sst-Chodl inhibitory neurons not only track behavioral state but can actively promote sleep-like cortical activity and sleep behavior, highlighting an important contribution of cortical circuits to sleep regulation alongside established subcortical mechanisms.
- organism: mouse
- assay: electronic health records
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 10
- FWCI
- 16.52
- Field percentile
- top 1%
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