PLoS Computational BiologyNeurosciencePeer-reviewed journal article
Traveling waves in the prefrontal cortex during working memory
Sayak BhattacharyaiD, Scott L. BrincatiD, Mikael LundqvistiD, Earl K. MilleriD
Abstract
Neural oscillations are evident across cortex but their spatial structure is not well-explored. Are oscillations stationary or do they form "traveling waves", i.e., spatially organized patterns whose peaks and troughs move sequentially across cortex? Here, we show that oscillations in the prefrontal cortex (PFC) organized as traveling waves in the theta (4-8Hz), alpha (8-12Hz) and beta (12-30Hz) bands. Some traveling waves were planar but most rotated. The waves were modulated during performance of a working memory task. During baseline conditions, waves flowed bidirectionally along a specific axis of orientation. Waves in different frequency bands could travel in different directions. During task performance, there was an increase in waves in one direction over the other, especially in the beta band. Author SummaryWe found that oscillations in the prefrontal cortex form "traveling waves". Traveling waves are spatially extended patterns in which aligned peaks of activity move sequentially across the cortical surface. Some traveling waves were planar but most rotated. The prefrontal cortex is important for working memory. The traveling waves changed when monkeys performed a working memory task. There was an increase in waves in one direction over the other, especially in the beta band. Traveling waves can serve specific functions. For example, they help maintain network status and help control timing relationships between spikes. Given their functional advantages, a greater understanding of traveling waves should lead to a greater understanding of cortical function.
- organism: mouse
- assay: electronic health records
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: differential expression
- research focus: trajectory inference
- approach: statistical model
- approach: experimental assay
- Citations
- 121
- FWCI
- 11.86
- Field percentile
- top 1%
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