Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115054
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dc.contributorDepartment of Language Science and Technologyen_US
dc.creatorChen, Xen_US
dc.creatorYuan, Ten_US
dc.creatorChen, Yen_US
dc.creatorHuang, Fen_US
dc.creatorZhang, Cen_US
dc.date.accessioned2025-09-05T06:56:42Z-
dc.date.available2025-09-05T06:56:42Z-
dc.identifier.issn0093-934Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/115054-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Chen, X., Yuan, T., Chen, Y., Huang, F., & Zhang, C. (2025). Neural substrates for the encoding of the contextual tonal alternation: An fNIRS study of Mandarin third-tone sandhi in word production. Brain and Language, 270, 105636 is available at https://doi.org/10.1016/j.bandl.2025.105636.en_US
dc.subjectfNIRSen_US
dc.subjectMandarin T3 sandhien_US
dc.subjectPrimingen_US
dc.subjectTonal alternationen_US
dc.subjectWord productionen_US
dc.titleNeural substrates for the encoding of the contextual tonal alternation : an fNIRS study of Mandarin third-tone sandhi in word productionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume270en_US
dc.identifier.doi10.1016/j.bandl.2025.105636en_US
dcterms.abstractPhonological alternations are common in speech, but the neurocognitive mechanisms for their encoding during word production remain unclear. Mandarin Tone 3 sandhi is an example of phonological alternation, whereby the Tone 3 (T3), a low-dipping tone, changes to a Tone 2 (T2)-like rising tone when followed by another T3. Previous research indicates that both the underlying tonal category and the surface tonal variant are activated during T3 sandhi word production, but the neural substrates of these sub-processes remain unclear. Using Mandarin T3 sandhi as a case study, we employed functional near-infrared spectroscopy (fNIRS) to better understand the neural bases of phonological alternations. Participants completed a phonologically-primed picture naming task, with different tonal relationships between monosyllabic primes and T3 sandhi words manipulated. Behaviorally, we replicated the facilitatory effects of T3 and T2 primes on the naming latencies of T3 sandhi words, confirming the activation of both underlying and surface tonal information. Compared to control primes, the fNIRS data revealed reduced activation in left temporal and bilateral frontal regions during T3 sandhi word production following T3 primes, indicating facilitation in retrieving the underlying tonal category and/or the wordform of T3 sandhi words, which may proceed to the downstream articulatory planning and execution of the context-specific tonal contour. Conversely, increased activation in left temporal regions but decreased activation in frontal regions was found during T3 sandhi word production following T2 primes, implying higher lexical-phonological competition in the wordform retrieval but facilitation in articulatory planning. Our findings offer implications for understanding the neural encoding of phonological alternations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBrain and language, Nov. 2025, v. 270, 105636en_US
dcterms.isPartOfBrain and languageen_US
dcterms.issued2025-11-
dc.identifier.eissn1090-2155en_US
dc.identifier.artn105636en_US
dc.description.validate202509 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera4003-
dc.identifier.SubFormID51902-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe first two authors contributed to this paper equally. This work was supported in part by the Postdoctoral Fellowships Scheme at the Department of Chinese and Bilingual Studies (CBS) of the Hong Kong Polytechnic University (HK PolyU) awarded to CXC (P0043384) and the HK PolyU CBS Departmental General Research Fund (P0046373) awarded to CCZ. The facilities used in this study were supported by the University Research Facility in Behavioral and Systems Neuroscience (UBSN) at the Hong Kong Polytechnic University. We thank Mr. Shixuan Wang for recording the audio materials, and Dr. Zebo Xu and Dr. Tommy L.H. Lam for technical assistance. The authors declare no conflict of interest.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
dc.relation.rdatahttps://osf.io/e2pka/en_US
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