A distributed dynamic brain network mediates linguistic tone representation and categorization
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AbstractSuccessful categorization requires listeners to represent the incoming sensory information, resolve the "blooming, buzzing confusion" inherent to noisy sensory signals, and leverage the accumulated evidence towards making a decision. Despite decades of intense debate, the neural systems underlying speech categorization remain unresolved. Here we assessed the neural representation and categorization of lexical tones by native Mandarin speakers (N = 31) across a range of acoustic and contextual variabilities (talkers, perceptual saliences, and stimulus-contexts) using functional magnetic imaging (fMRI) and an evidence accumulation model of decision-making. Univariate activation and multivariate pattern analyses reveal that the acoustic-variability-tolerant representations of tone category are observed within the middle portion of the left superior temporal gyrus (STG). Activation patterns in the frontal and parietal regions also contained category-relevant information that was differentially sensitive to various forms of variability. The robustness of neural representations of tone category in a distributed fronto-temporoparietal network is associated with trial-by-trial decision-making parameters. These findings support a hybrid model involving a representational core within the STG that operates dynamically within an extensive frontoparietal network to support the representation and categorization of linguistic pitch patterns.
Acceptance Date25/09/2020
All Author(s) ListFeng G, Gan Z, Llanos F, Meng D, Wang S, Wong PC, Chandrasekaran B
Journal nameNeuroImage
Year2021
Month1
Volume Number224
PublisherElsevier
Article number117410
ISSN1053-8119
eISSN1095-9572
LanguagesEnglish-United States

Last updated on 2021-14-06 at 00:08