%0 Journal Article %A Daniel C. Comstock %A Jessica M. Ross %A Ramesh Balasubramaniam %T Modality-specific frequency band activity during neural entrainment to auditory and visual rhythms %D 2020 %R 10.1101/2020.11.29.402701 %J bioRxiv %P 2020.11.29.402701 %X Rhythm perception depends on the ability to predict the onset of rhythmic events. Previous studies indicate beta band modulation is involved in predicting the onset of auditory rhythmic events (Snyder & Large, 2005; Fujioka et al., 2009, 2012). We sought to determine if similar processes are recruited for prediction of visual rhythms by investigating whether beta band activity plays a role in a modality dependent manner for rhythm perception. We looked at source-level EEG time-frequency neural correlates of prediction using an omission paradigm with auditory and visual rhythms. By using omissions, we can separate out predictive timing activity from stimulus driven activity. We hypothesized that there would be modality specific markers of rhythm prediction in induced beta band oscillatory activity, characterized primarily by activation in the motor system specific to auditory rhythm processing. Our findings suggest the existence of overlapping networks of predictive beta activity based on common activation in the parietal and right frontal regions, auditory specific predictive beta in bilateral sensorimotor regions, and visually specific predictive beta in midline central, and bilateral temporal/parietal regions. We also found evidence for evoked predictive beta activity in the left sensorimotor region specific to auditory rhythms. These findings implicate modality dependent networks for auditory and visual rhythm perception. The results further suggest that auditory rhythm perception may have left hemispheric specific mechanisms.Competing Interest StatementThe authors have declared no competing interest.ASRartifact source reconstructioncmcentimetersDbdecibelEEGelectroencephalographyECoGElectrocortocographyERSPevent related spectral perturbationHzhertzICAindependent component analysisIOIinteronset intervalITCinter-trial coherenceMADmean absolute deviationMEGmagnetoencephalographyMRImagnetic resonance imagingmsmillisecondsSDstandard deviationSMAsupplementary motor areaSMSsensorimotor synchronizationSTSsuperior temporal sulcus %U https://www.biorxiv.org/content/biorxiv/early/2020/11/29/2020.11.29.402701.full.pdf