Fig. 5: Sensor-level alpha and beta power predict reaction time before anticipated events.
From: Neural signatures of temporal anticipation in human cortex represent event probability density
a Correlation analysis schematic: within each experimental condition, single-trial Spearman correlation is computed between spectral power in each time-frequency-sensor triplet (not baselined) and RT. b Top: Negative correlation cluster comprises alpha and low beta frequency bands (P = 0.001), positive correlation cluster in the high beta band (P = 0.087) (across-condition cluster test, Methods). Bottom: Mean Spearman’s rho across time and sensors, shaded area depicts SD across time. c Top: Sensor-level topography of alpha-band correlation cluster. Bottom: Mean rho and SD across cluster sensors. Before the Go cue, rho decreases until right before the Go cue. d Sensor-level topography of low beta band correlation cluster. Bottom: Mean rho and SD across cluster sensors. Rho increases right after the Go cue. e Sensor-level topography of high beta band correlation cluster. Bottom: Mean rho and SD across cluster sensors. Rho increases until right before the Go cue, then decreases, reaching a local minimum at the time of the Go cue. L and R labels indicate the left and right hemispheres. Source data are provided as a Source Data file.
