Literature DB >> 28968658

Task-General and Acoustic-Invariant Neural Representation of Speech Categories in the Human Brain.

Gangyi Feng1,2,3, Zhenzhong Gan4, Suiping Wang4,5, Patrick C M Wong1,2, Bharath Chandrasekaran3,6,7,8,9.   

Abstract

A 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.

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Year:  2018        PMID: 28968658      PMCID: PMC6454529          DOI: 10.1093/cercor/bhx195

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  68 in total

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2.  The perception of voice onset time: an fMRI investigation of phonetic category structure.

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Authors:  Ananthanarayan Krishnan; Yisheng Xu; Jackson Gandour; Peter Cariani
Journal:  Brain Res Cogn Brain Res       Date:  2005-09

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5.  The cortical representation of speech.

Authors:  B M Mazoyer; N Tzourio; V Frak; A Syrota; N Murayama; O Levrier; G Salamon; S Dehaene; L Cohen; J Mehler
Journal:  J Cogn Neurosci       Date:  1993       Impact factor: 3.225

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7.  Distributed neural representations of phonological features during speech perception.

Authors:  Jessica S Arsenault; Bradley R Buchsbaum
Journal:  J Neurosci       Date:  2015-01-14       Impact factor: 6.167

8.  Perceived dimensions of 13 tones: a multidimensional scaling investigation.

Authors:  J T Gandour
Journal:  Phonetica       Date:  1978       Impact factor: 1.759

9.  Inferior frontal regions underlie the perception of phonetic category invariance.

Authors:  Emily B Myers; Sheila E Blumstein; Edward Walsh; James Eliassen
Journal:  Psychol Sci       Date:  2009-06-08

10.  Modality-independent decoding of semantic information from the human brain.

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Journal:  Cereb Cortex       Date:  2012-10-12       Impact factor: 5.357

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  19 in total

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Authors:  Gangyi Feng; Han Gyol Yi; Bharath Chandrasekaran
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

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3.  Categorical Encoding of Vowels in Primary Auditory Cortex.

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Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

4.  Neural dynamics underlying the acquisition of distinct auditory category structures.

Authors:  Gangyi Feng; Zhenzhong Gan; Han Gyol Yi; Shawn W Ell; Casey L Roark; Suiping Wang; Patrick C M Wong; Bharath Chandrasekaran
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5.  Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions.

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Journal:  J Neural Eng       Date:  2020-02-05       Impact factor: 5.379

6.  Speech categorization is better described by induced rather than evoked neural activity.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Acoust Soc Am       Date:  2021-03       Impact factor: 1.840

7.  Emerging native-similar neural representations underlie non-native speech category learning success.

Authors:  Gangyi Feng; Yu Li; Shen-Mou Hsu; Patrick C M Wong; Tai-Li Chou; Bharath Chandrasekaran
Journal:  Neurobiol Lang (Camb)       Date:  2021-06-09

8.  Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization.

Authors:  Jared A Carter; Gavin M Bidelman
Journal:  Brain Res       Date:  2021-02-23       Impact factor: 3.252

9.  Data-driven machine learning models for decoding speech categorization from evoked brain responses.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
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10.  Neural Fingerprints Underlying Individual Language Learning Profiles.

Authors:  Gangyi Feng; Jinghua Ou; Zhenzhong Gan; Xiaoyan Jia; Danting Meng; Suiping Wang; Patrick C M Wong
Journal:  J Neurosci       Date:  2021-07-22       Impact factor: 6.167

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