Brain-stem auditory-evoked responses elicited by maximum length sequences: effect of simultaneous masking noise

J Acoust Soc Am. 1990 Apr;87(4):1665-72. doi: 10.1121/1.399414.

Abstract

The effects of masking noise on wave V of the brain-stem auditory-evoked response (BAER) obtained to pseudorandom pulse sequences are evaluated in two experiments. In the first experiment, the level of broadband noise was covaried with minimum pulse interval (rate) using maximum length sequence analysis (MLSA). Both increasing noise level and decreasing minimum pulse interval decrease wave V amplitude and increase wave V latency. A nonadditivity of rate and noise level was observed such that, at the shortest interpulse intervals, simultaneous background noise produced virtually no latency change and minimal amplitude change, for the noise levels tested. In a second experiment, high-pass masking was performed to assess the feasibility of derived-band techniques using maximum length sequence analysis (MLSA) and to compare the frequency regions responsible for the BAER using MLSA versus conventional averaging. Results of experiment 2 showed that reliable responses across high-pass masker cutoff frequency could be obtained in normal-hearing listeners. The frequency specificity of the MLSA-based responses was nearly identical to that obtained by conventional averaging, although both amplitude and latency of wave V were affected by the high-pass masker cutoff and minimum pulse interval values. These studies suggest that the neuronal populations and frequency regions responsible for the BAER are virtually the same for MLSA and conventional averaging.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Attention / physiology*
  • Auditory Threshold / physiology
  • Brain Stem / physiology*
  • Electroencephalography / methods
  • Evoked Potentials, Auditory / physiology*
  • Humans
  • Perceptual Masking / physiology*
  • Pitch Discrimination / physiology*
  • Reaction Time / physiology*
  • Reference Values
  • Signal Processing, Computer-Assisted