Jennifer Krizman1, Silvia Bonacina1, Rembrandt Otto-Meyer1, Nina Kraus2. 1. Auditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA. 2. Auditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA; Department of Neurobiology, Northwestern University, Evanston, IL, USA; Department of Otolaryngology, Northwestern University, Chicago, IL, USA. Electronic address: nkraus@northwestern.edu.
Abstract
BACKGROUND: The frequency-following response, or FFR, is a neurophysiologic response that captures distinct aspects of sound processing. Like all evoked responses, FFR is susceptible to electric and myogenic noise contamination during collection. Click-evoked auditory brainstem response collection standards have been adopted for FFR collection, however, whether these standards sufficiently limit FFR noise contamination is unknown. Thus, a critical question remains: to what extent do distinct FFR components reflect noise contamination? This is especially relevant for prestimulus amplitude (i.e., activity preceding the evoked response), as this measure has been used to index both noise contamination and neural noise. NEW METHOD: We performed two experiments. First, using >1000 young-adult FFRs, we ran regressions to determine the variance explained by myogenic and electrical noise, as indexed by artifact rejection count and electrode impedance, on each FFR component. Second, we reanalyzed prestimulus amplitude differences attributed to athletic experience and socioeconomic status, adding covariates of artifact rejection and impedance. RESULTS: We found that non-neural noise marginally contributed to FFR components and could not explain group differences on prestimulus amplitude. COMPARISON WITH EXISTING METHOD: Prestimulus amplitude has been considered a measure of non-neural noise contamination. However, non-neural noise was not the sole contributor to variance in this measure and did not explain group differences. CONCLUSIONS: Results from the two experiments suggest that the effects of non-neural noise on FFR components are minimal and do not obscure individual differences in the FFR and that prestimulus amplitude indexes neural noise.
BACKGROUND: The frequency-following response, or FFR, is a neurophysiologic response that captures distinct aspects of sound processing. Like all evoked responses, FFR is susceptible to electric and myogenic noise contamination during collection. Click-evoked auditory brainstem response collection standards have been adopted for FFR collection, however, whether these standards sufficiently limit FFR noise contamination is unknown. Thus, a critical question remains: to what extent do distinct FFR components reflect noise contamination? This is especially relevant for prestimulus amplitude (i.e., activity preceding the evoked response), as this measure has been used to index both noise contamination and neural noise. NEW METHOD: We performed two experiments. First, using >1000 young-adult FFRs, we ran regressions to determine the variance explained by myogenic and electrical noise, as indexed by artifact rejection count and electrode impedance, on each FFR component. Second, we reanalyzed prestimulus amplitude differences attributed to athletic experience and socioeconomic status, adding covariates of artifact rejection and impedance. RESULTS: We found that non-neural noise marginally contributed to FFR components and could not explain group differences on prestimulus amplitude. COMPARISON WITH EXISTING METHOD: Prestimulus amplitude has been considered a measure of non-neural noise contamination. However, non-neural noise was not the sole contributor to variance in this measure and did not explain group differences. CONCLUSIONS: Results from the two experiments suggest that the effects of non-neural noise on FFR components are minimal and do not obscure individual differences in the FFR and that prestimulus amplitude indexes neural noise.
Authors: Emily B J Coffey; Sibylle C Herholz; Alexander M P Chepesiuk; Sylvain Baillet; Robert J Zatorre Journal: Nat Commun Date: 2016-03-24 Impact factor: 14.919