首页> 外文期刊>Developmental psychobiology. >Functional near‐infrared spectroscopy as a tool for assessing speech and spoken language processing in pediatric and adult cochlear implant users
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Functional near‐infrared spectroscopy as a tool for assessing speech and spoken language processing in pediatric and adult cochlear implant users

机译:功能近红外光谱作为用于评估儿科和成人耳蜗植入用户的语音和口语处理的工具

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Abstract Much of what is known about the course of auditory learning in following cochlear implantation is based on behavioral indicators that users are able to perceive sound. Both prelingually deafened children and postlingually deafened adults who receive cochlear implants display highly variable speech and language processing outcomes, although the basis for this is poorly understood. To date, measuring neural activity within the auditory cortex of implant recipients of all ages has been challenging, primarily because the use of traditional neuroimaging techniques is limited by the implant itself. Functional near‐infrared spectroscopy (fNIRS) is an imaging technology that works with implant users of all ages because it is non‐invasive, compatible with implant devices, and not subject to electrical artifacts. Thus, fNIRS can provide insight into processing factors that contribute to variations in spoken language outcomes in implant users, both children and adults. There are important considerations to be made when using fNIRS, particularly with children, to maximize the signal‐to‐noise ratio and to best identify and interpret cortical responses. This review considers these issues, recent data, and future directions for using fNIRS as a tool to understand spoken language processing in children and adults who hear through a cochlear implant.
机译:摘要大部分内容涉及在耳蜗植入中的听觉学习课程的内容是基于用户能够感知声音的行为指标。孕妇叫醒儿童和后期聋人的成年人,接受耳蜗植入物的言论表现出高度可变的语音和语言处理结果,尽管这是较差的依据。迄今为止,估计所有年龄段的植入受体的视听皮层内的神经活动一直在具有挑战性,主要是因为使用传统的神经影像学技术受到植入物本身的限制。功能近红外光谱(FNIR)是一种成像技术,其与所有年龄段的植入物用户合作,因为它是非侵入性的,与植入装置兼容,而不受电器伪影。因此,Fnirs可以深入了解有助于植入物用户的口语结果的变化,儿童和成人有助于变化的处理因素。使用FNIR,特别是与儿童使用FNIR时,存在重要的考虑因素,以最大化信噪比并最佳识别和解释皮质响应。本次审查考虑了使用FNIR作为理解通过耳蜗植入的儿童和成年人的口语语言处理的工具的这些问题,最近的数据和未来方向。

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