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基于小波变换的儿童失匹配负波反应分析

Wavelet-based analysis of MMN responses in children.

作者信息

Burger Martin, Hoppe Ulrich, Kummer Peter, Lohscheller Jörg, Eysholdt Ulrich, Döllinger Michael

机构信息

Department of Phoniatrics and Pediatric Audiology, University Hospital Erlangen, Erlangen, Germany.

出版信息

Biomed Tech (Berl). 2007 Feb;52(1):111-6. doi: 10.1515/BMT.2007.021.

DOI:10.1515/BMT.2007.021
PMID:17313345
Abstract

Event-related potentials (ERPs) as part of the EEG are applied to assess auditory processing in children. Mismatch negativity (MMN) is a change-specific component of ERPs that indicates a pre-cognitive discrimination process. MMN responses were recorded in 10 healthy preschool children to four different types of signal changes. The signals investigated were processed using a discrete wavelet transform (DWT) to analyze the characteristics of the ERP components. All children showed distinct MMN that was significant in all tasks. The MMN amplitudes varied between subjects and depended on the different tasks. The wavelet transform allowed simplified analysis and quantification of the MMN component, as well as the double-peak structure of the P1 component. The variation in MMN amplitudes suggests the possibility of determining individual auditory profiles. Owing to the shorter time required, the MMN paradigm suggested combined with the DWT proposed offers a new objective investigation method for children.

摘要

作为脑电图(EEG)一部分的事件相关电位(ERP)被用于评估儿童的听觉处理能力。失配负波(MMN)是ERP的一种特定于变化的成分,它表明了一种前认知辨别过程。对10名健康学龄前儿童针对四种不同类型的信号变化记录了MMN反应。对所研究的信号使用离散小波变换(DWT)进行处理,以分析ERP成分的特征。所有儿童均显示出明显的MMN,在所有任务中均具有显著性。MMN振幅在不同个体间存在差异,并且取决于不同的任务。小波变换允许对MMN成分以及P1成分的双峰结构进行简化分析和量化。MMN振幅的变化表明有可能确定个体的听觉特征。由于所需时间较短,所提出的将MMN范式与DWT相结合的方法为儿童提供了一种新的客观研究方法。

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