OBJECTIVE: This study examines developmental and aging trends in auditory evoked potentials (AEPs) by applying two analysis methods to a large database of healthy subjects. METHODS: AEPs and reaction times were recorded from 1498 healthy subjects aged 6-86 years using an auditory oddball paradigm. AEPs were analyzed using a recently published deconvolution method and conventional component scoring. Age trends in the resultant data were determined using smooth median-based fits. RESULTS: Component latencies generally decreased during development and increased during aging. Deconvolution showed the emergence of a new feature during development, corresponding to improved differentiation between standard and target tones. The latency of this feature provides similar information as the target component latencies, while its amplitude provides a marker of cognitive development. CONCLUSIONS: Age trends in component scores can be related to physiological changes in the brain. However, component scores show a high degree of redundancy, which limits their information content, and are often invalid when applied to young children. Deconvolution provides additional information on development not available through other methods. SIGNIFICANCE: This is the largest study of AEP age trends to date. It provides comprehensive statistics on conventional component scores and shows that deconvolution is a simple and informative alternative. Copyright 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
OBJECTIVE: This study examines developmental and aging trends in auditory evoked potentials (AEPs) by applying two analysis methods to a large database of healthy subjects. METHODS: AEPs and reaction times were recorded from 1498 healthy subjects aged 6-86 years using an auditory oddball paradigm. AEPs were analyzed using a recently published deconvolution method and conventional component scoring. Age trends in the resultant data were determined using smooth median-based fits. RESULTS: Component latencies generally decreased during development and increased during aging. Deconvolution showed the emergence of a new feature during development, corresponding to improved differentiation between standard and target tones. The latency of this feature provides similar information as the target component latencies, while its amplitude provides a marker of cognitive development. CONCLUSIONS: Age trends in component scores can be related to physiological changes in the brain. However, component scores show a high degree of redundancy, which limits their information content, and are often invalid when applied to young children. Deconvolution provides additional information on development not available through other methods. SIGNIFICANCE: This is the largest study of AEP age trends to date. It provides comprehensive statistics on conventional component scores and shows that deconvolution is a simple and informative alternative. Copyright 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
Authors: Dawn Konrad-Martin; Curtis J Billings; Garnett P McMillan; Daniel McDermott; Jane Gordon; Donald Austin; Marilyn F Dille Journal: Ear Hear Date: 2016 May-Jun Impact factor: 3.570