Frontiers in Neuroscience (Nov 2023)

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

  • Richy Yun,
  • Richy Yun,
  • Richy Yun,
  • Irene Rembado,
  • Irene Rembado,
  • Steve I. Perlmutter,
  • Steve I. Perlmutter,
  • Steve I. Perlmutter,
  • Rajesh P. N. Rao,
  • Rajesh P. N. Rao,
  • Eberhard E. Fetz,
  • Eberhard E. Fetz,
  • Eberhard E. Fetz,
  • Eberhard E. Fetz

DOI
https://doi.org/10.3389/fnins.2023.1273627
Journal volume & issue
Vol. 17

Abstract

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Different sleep stages have been shown to be vital for a variety of brain functions, including learning, memory, and skill consolidation. However, our understanding of neural dynamics during sleep and the role of prominent LFP frequency bands remain incomplete. To elucidate such dynamics and differences between behavioral states we collected multichannel LFP and spike data in primary motor cortex of unconstrained macaques for up to 24 h using a head-fixed brain-computer interface (Neurochip3). Each 8-s bin of time was classified into awake-moving (Move), awake-resting (Rest), REM sleep (REM), or non-REM sleep (NREM) by using dimensionality reduction and clustering on the average spectral density and the acceleration of the head. LFP power showed high delta during NREM, high theta during REM, and high beta when the animal was awake. Cross-frequency phase-amplitude coupling typically showed higher coupling during NREM between all pairs of frequency bands. Two notable exceptions were high delta-high gamma and theta-high gamma coupling during Move, and high theta-beta coupling during REM. Single units showed decreased firing rate during NREM, though with increased short ISIs compared to other states. Spike-LFP synchrony showed high delta synchrony during Move, and higher coupling with all other frequency bands during NREM. These results altogether reveal potential roles and functions of different LFP bands that have previously been unexplored.

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