Task-general and Acoustic-invariant Neural Representation of Speech Categories in the Human Brain
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AbstractA significant neural challenge in speech perception includes extracting discrete phonetic categories from continuous and multidimensional signals despite varying task demands and surface-acoustic variability. While neural representations of speech categories have been previously identified in frontal and posterior temporal-parietal regions, the task dependency and dimensional specificity of these neural representations are still unclear. Here, we asked native Mandarin participants to listen to speech syllables carrying 4 distinct lexical tone categories across passive listening, repetition, and categorization tasks while they underwent functional magnetic resonance imaging (fMRI). We used searchlight classification and representational similarity analysis (RSA) to identify the dimensional structure underlying neural representation across tasks and surface-acoustic properties. Searchlight classification analyses revealed significant “cross-task” lexical tone decoding within the bilateral superior temporal gyrus (STG) and left inferior parietal lobule (LIPL). RSA revealed that the LIPL and LSTG, in contrast to the RSTG, relate to 2 critical dimensions (pitch height, pitch direction) underlying tone perception. Outside this core representational network, we found greater activation in the inferior frontal and parietal regions for stimuli that are more perceptually similar during tone categorization. Our findings reveal the specific characteristics of fronto-tempo-parietal regions that support speech representation and categorization processing.
Acceptance Date01/07/2017
All Author(s) ListGangyi Feng, Zhenzhong Gan, Suiping Wang, Patrick C M Wong, Bharath Chandrasekaran
Journal nameCerebral Cortex
Year2018
Month9
Volume Number28
Issue Number9
Pages3241 - 3254
ISSN1047-3211
eISSN1460-2199
LanguagesEnglish-United States

Last updated on 2020-31-05 at 01:35