The hearing ear is always found close to the speaking tongue: Review of the role of the motor system in speech perception

被引:140
作者
Skipper, Jeremy I. [1 ]
Devlin, Joseph T. [1 ]
Lametti, Daniel R. [1 ,2 ]
机构
[1] UCL, Expt Psychol, 26 Bedford Way, London WC1H OAP, England
[2] Univ Oxford, Dept Expt Psychol, Oxford OX1 2JD, England
基金
英国工程与自然科学研究理事会;
关键词
Articulation; Complex network; Phoneme; Neuroimaging meta-analysis; Speech production; PREMOTOR CORTEX; CATEGORICAL PERCEPTION; CORTICAL ORGANIZATION; WORD PRODUCTION; BRAIN-REGIONS; BROCAS AREA; AUDITORY HALLUCINATIONS; PHONOLOGICAL AWARENESS; EFFECTIVE CONNECTIVITY; ARTICULATORY FEATURES;
D O I
10.1016/j.bandl.2016.10.004
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Does "the motor system" play "a role" in speech perception? If so, where, how, and when? We conducted a systematic review that addresses these questions using both qualitative and quantitative methods. The qualitative review of behavioural, computational modelling, non-human animal, brain damage/disorder, electrical stimulation/recording, and neuroimaging research suggests that distributed brain regions involved in producing speech play specific, dynamic, and contextually determined roles in speech perception. The quantitative review employed region and network based neuroimaging meta-analyses and a novel text mining method to describe relative contributions of nodes in distributed brain networks. Supporting the qualitative review, results show a specific functional correspondence between regions involved in non-linguistic movement of the articulators, covertly and overtly producing speech, and the perception of both nonword and word sounds. This distributed set of cortical and subcortical speech production regions are ubiquitously active and form multiple networks whose topologies dynamically change with listening context. Results are inconsistent with motor and acoustic only models of speech perception and classical and contemporary dual-stream models of the organization of language and the brain. Instead, results are more consistent with complex network models in which multiple speech production related networks and subnetworks dynamically self-organize to constrain interpretation of indeterminant acoustic patterns as listening context requires. (C) 2016 The Authors. Published by Elsevier Inc.
引用
收藏
页码:77 / 105
页数:29
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