Noise alters beta-band activity in superior temporal cortex during audiovisual speech processing.

Speech recognition is improved when complementary visual information is available, especially under noisy acoustic conditions. Functional neuroimaging studies have suggested that the superior temporal sulcus (STS) plays an important role for this improvement. The spectrotemporal dynamics underlying audiovisual speech processing in the STS, and how these dynamics are affected by auditory noise, are not well understood. Using electroencephalography, we investigated how auditory noise affects audiovisual speech processing in event-related potentials (ERPs) and oscillatory activity. Spoken syllables were presented in audiovisual (AV) and auditory only (A) trials at three different auditory noise levels (no, low, and high). Responses to A stimuli were subtracted from responses to AV stimuli, separately for each noise level, and these responses were subjected to the statistical analysis. Central ERPs differed between the no noise and the two noise conditions from 130 to 150 ms and 170 to 210 ms after auditory stimulus onset. Source localization using the local autoregressive average procedure revealed an involvement of the lateral temporal lobe, encompassing the superior and middle temporal gyrus. Neuronal activity in the beta-band (16 to 32 Hz) was suppressed at central channels around 100 to 400 ms after auditory stimulus onset in the averaged AV minus A signal over the three noise levels. This suppression was smaller in the high noise compared to the no noise and low noise condition, possibly reflecting disturbed recognition or altered processing of multisensory speech stimuli. Source analysis of the beta-band effect using linear beamforming demonstrated an involvement of the STS. Our study shows that auditory noise alters audiovisual speech processing in ERPs localized to lateral temporal lobe and provides evidence that beta-band activity in the STS plays a role for audiovisual speech processing under regular and noisy acoustic conditions.