Predicting perception in noise using cortical auditory evoked potentials

Curtis Billings, Garnett P. McMillan, Tina M. Penman, Sun Mi Gille

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Speech perception in background noise is a common challenge across individuals and health conditions (e.g., hearing impairment, aging, etc.). Both behavioral and physiological measures have been used to understand the important factors that contribute to perception-in-noise abilities. The addition of a physiological measure provides additional information about signal-in-noise encoding in the auditory system and may be useful in clarifying some of the variability in perception-in-noise abilities across individuals. Fifteen young normal-hearing individuals were tested using both electrophysiology and behavioral methods as a means to determine (1) the effects of signal-to-noise ratio (SNR) and signal level and (2) how well cortical auditory evoked potentials (CAEPs) can predict perception in noise. Three correlation/regression approaches were used to determine how well CAEPs predicted behavior. Main effects of SNR were found for both electrophysiology and speech perception measures, while signal level effects were found generally only for speech testing. These results demonstrate that when signals are presented in noise, sensitivity to SNR cues obscures any encoding of signal level cues. Electrophysiology and behavioral measures were strongly correlated. The best physiological predictors (e.g., latency, amplitude, and area of CAEP waves) of behavior (SNR at which 50 % of the sentence is understood) were N1 latency and N1 amplitude measures. In addition, behavior was best predicted by the 70-dB signal/5-dB SNR CAEP condition. It will be important in future studies to determine the relationship of electrophysiology and behavior in populations who experience difficulty understanding speech in noise such as those with hearing impairment or age-related deficits.

Original languageEnglish (US)
Pages (from-to)891-903
Number of pages13
JournalJARO - Journal of the Association for Research in Otolaryngology
Volume14
Issue number6
DOIs
StatePublished - Dec 2013

Fingerprint

Auditory Evoked Potentials
Noise
Signal-To-Noise Ratio
Electrophysiology
Speech Perception
Aptitude
Hearing Loss
Cues
Hearing
Health
Population

Keywords

  • background noise
  • cortical auditory evoked potentials (CAEPs)
  • event-related potentials (ERPs)
  • N1
  • signal-to-noise ratio (SNR)
  • signals in noise

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Sensory Systems

Cite this

Predicting perception in noise using cortical auditory evoked potentials. / Billings, Curtis; McMillan, Garnett P.; Penman, Tina M.; Gille, Sun Mi.

In: JARO - Journal of the Association for Research in Otolaryngology, Vol. 14, No. 6, 12.2013, p. 891-903.

Research output: Contribution to journalArticle

Billings, Curtis ; McMillan, Garnett P. ; Penman, Tina M. ; Gille, Sun Mi. / Predicting perception in noise using cortical auditory evoked potentials. In: JARO - Journal of the Association for Research in Otolaryngology. 2013 ; Vol. 14, No. 6. pp. 891-903.
@article{c3069b69bc464400a64b6dacde433936,
title = "Predicting perception in noise using cortical auditory evoked potentials",
abstract = "Speech perception in background noise is a common challenge across individuals and health conditions (e.g., hearing impairment, aging, etc.). Both behavioral and physiological measures have been used to understand the important factors that contribute to perception-in-noise abilities. The addition of a physiological measure provides additional information about signal-in-noise encoding in the auditory system and may be useful in clarifying some of the variability in perception-in-noise abilities across individuals. Fifteen young normal-hearing individuals were tested using both electrophysiology and behavioral methods as a means to determine (1) the effects of signal-to-noise ratio (SNR) and signal level and (2) how well cortical auditory evoked potentials (CAEPs) can predict perception in noise. Three correlation/regression approaches were used to determine how well CAEPs predicted behavior. Main effects of SNR were found for both electrophysiology and speech perception measures, while signal level effects were found generally only for speech testing. These results demonstrate that when signals are presented in noise, sensitivity to SNR cues obscures any encoding of signal level cues. Electrophysiology and behavioral measures were strongly correlated. The best physiological predictors (e.g., latency, amplitude, and area of CAEP waves) of behavior (SNR at which 50 {\%} of the sentence is understood) were N1 latency and N1 amplitude measures. In addition, behavior was best predicted by the 70-dB signal/5-dB SNR CAEP condition. It will be important in future studies to determine the relationship of electrophysiology and behavior in populations who experience difficulty understanding speech in noise such as those with hearing impairment or age-related deficits.",
keywords = "background noise, cortical auditory evoked potentials (CAEPs), event-related potentials (ERPs), N1, signal-to-noise ratio (SNR), signals in noise",
author = "Curtis Billings and McMillan, {Garnett P.} and Penman, {Tina M.} and Gille, {Sun Mi}",
year = "2013",
month = "12",
doi = "10.1007/s10162-013-0415-y",
language = "English (US)",
volume = "14",
pages = "891--903",
journal = "JARO - Journal of the Association for Research in Otolaryngology",
issn = "1525-3961",
publisher = "Springer New York",
number = "6",

}

TY - JOUR

T1 - Predicting perception in noise using cortical auditory evoked potentials

AU - Billings, Curtis

AU - McMillan, Garnett P.

AU - Penman, Tina M.

AU - Gille, Sun Mi

PY - 2013/12

Y1 - 2013/12

N2 - Speech perception in background noise is a common challenge across individuals and health conditions (e.g., hearing impairment, aging, etc.). Both behavioral and physiological measures have been used to understand the important factors that contribute to perception-in-noise abilities. The addition of a physiological measure provides additional information about signal-in-noise encoding in the auditory system and may be useful in clarifying some of the variability in perception-in-noise abilities across individuals. Fifteen young normal-hearing individuals were tested using both electrophysiology and behavioral methods as a means to determine (1) the effects of signal-to-noise ratio (SNR) and signal level and (2) how well cortical auditory evoked potentials (CAEPs) can predict perception in noise. Three correlation/regression approaches were used to determine how well CAEPs predicted behavior. Main effects of SNR were found for both electrophysiology and speech perception measures, while signal level effects were found generally only for speech testing. These results demonstrate that when signals are presented in noise, sensitivity to SNR cues obscures any encoding of signal level cues. Electrophysiology and behavioral measures were strongly correlated. The best physiological predictors (e.g., latency, amplitude, and area of CAEP waves) of behavior (SNR at which 50 % of the sentence is understood) were N1 latency and N1 amplitude measures. In addition, behavior was best predicted by the 70-dB signal/5-dB SNR CAEP condition. It will be important in future studies to determine the relationship of electrophysiology and behavior in populations who experience difficulty understanding speech in noise such as those with hearing impairment or age-related deficits.

AB - Speech perception in background noise is a common challenge across individuals and health conditions (e.g., hearing impairment, aging, etc.). Both behavioral and physiological measures have been used to understand the important factors that contribute to perception-in-noise abilities. The addition of a physiological measure provides additional information about signal-in-noise encoding in the auditory system and may be useful in clarifying some of the variability in perception-in-noise abilities across individuals. Fifteen young normal-hearing individuals were tested using both electrophysiology and behavioral methods as a means to determine (1) the effects of signal-to-noise ratio (SNR) and signal level and (2) how well cortical auditory evoked potentials (CAEPs) can predict perception in noise. Three correlation/regression approaches were used to determine how well CAEPs predicted behavior. Main effects of SNR were found for both electrophysiology and speech perception measures, while signal level effects were found generally only for speech testing. These results demonstrate that when signals are presented in noise, sensitivity to SNR cues obscures any encoding of signal level cues. Electrophysiology and behavioral measures were strongly correlated. The best physiological predictors (e.g., latency, amplitude, and area of CAEP waves) of behavior (SNR at which 50 % of the sentence is understood) were N1 latency and N1 amplitude measures. In addition, behavior was best predicted by the 70-dB signal/5-dB SNR CAEP condition. It will be important in future studies to determine the relationship of electrophysiology and behavior in populations who experience difficulty understanding speech in noise such as those with hearing impairment or age-related deficits.

KW - background noise

KW - cortical auditory evoked potentials (CAEPs)

KW - event-related potentials (ERPs)

KW - N1

KW - signal-to-noise ratio (SNR)

KW - signals in noise

UR - http://www.scopus.com/inward/record.url?scp=84889100673&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889100673&partnerID=8YFLogxK

U2 - 10.1007/s10162-013-0415-y

DO - 10.1007/s10162-013-0415-y

M3 - Article

C2 - 24030818

AN - SCOPUS:84889100673

VL - 14

SP - 891

EP - 903

JO - JARO - Journal of the Association for Research in Otolaryngology

JF - JARO - Journal of the Association for Research in Otolaryngology

SN - 1525-3961

IS - 6

ER -