Back

Distinct sources and behavioral correlates of macaque motor cortical low and high beta

Nougaret, S.; Lopez-Galdo, L.; Caytan, E.; Poitreau, J.; Barthelemy, F. V.; Kilavik, B. E.

2023-03-28 neuroscience
10.1101/2023.03.28.534535 bioRxiv
Show abstract

HIGHLIGHTSO_LIThe low beta rhythm is dominant in M1 and the high beta rhythm in PMd C_LIO_LIThe beta rhythms correlate with task-instructed and uninstructed behavior C_LIO_LILow beta reflects movement preparation and spontaneous postural dynamics C_LIO_LIHigh beta reflects temporal task prediction and dynamical visuospatial attention C_LI Low and high beta frequency rhythms were observed in the motor cortex, but their respective sources and behavioral correlates remain unknown. We studied local field potentials during pre-cued reaching behavior in macaques. They contained a low beta band (<20Hz) dominant in primary motor cortex and a high beta band (>20Hz) dominant in dorsal premotor cortex. Low beta correlated positively with reaction time from visual cue onset, and negatively with uninstructed hand postural micro-movements throughout the trial. High beta reflected temporal task prediction, with selective modulations before and during cues, which were enhanced in moments of increased focal attention when the gaze was on the work area. This double-dissociation in sources and behavioral correlates of motor cortical low and high beta, with respect to both task-instructed and spontaneous behavior, reconciles the largely disparate roles proposed for the beta rhythm, by suggesting band-specific roles in both movement control and spatio-temporal attention. O_FIG O_LINKSMALLFIG WIDTH=179 HEIGHT=200 SRC="FIGDIR/small/534535v2_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@fdd46aorg.highwire.dtl.DTLVardef@84b620org.highwire.dtl.DTLVardef@d12baaorg.highwire.dtl.DTLVardef@89a757_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.