ArticleProceedings of the National Academy of Sciences of the United States of America2023
Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Traveling waves along the cortical depth reflect structured synaptic inputs.Research square · 2026Article
- Spatial propagation of movement-related basal ganglia activity predicts parkinsonian motor state.Brain : a journal of neurology · 2026Article
- A Spatially Structured Spiking Network Model of Beta Traveling Waves and Their Attenuation in Motor Cortex.bioRxiv : the preprint server for biology · 2026Article
- Transformers and cortical waves: encoders for pulling in context across time.Trends in neurosciences · 2024Review
- Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity.Cell reports · 2024Article
- Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity.Research square · 2024Article
- Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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4 authors.
Funding
Abstract
Propagating spatiotemporal neural patterns are widely evident across sensory, motor, and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and specific behavioral features of an upcoming movement on a trial-by-trial basis. We recorded local field potentials (LFPs) from multielectrode arrays implanted in the primary motor cortex of two rhesus macaque monkeys while they performed a 2D reach task. Propagating patterns were extracted from the information-rich high-gamma band (200 to 400 Hz) envelopes in the LFP amplitude. We found that the exact direction of propagating patterns varied systematically according to initial movement direction, enabling kinematic predictions. Furthermore, characteristics of these propagation patterns provided additional predictive capability beyond the LFP amplitude themselves, which suggests the value of including mesoscopic spatiotemporal characteristics in refining brain-machine interfaces.
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