2011
DOI: 10.1016/j.neulet.2010.10.035
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ERP correlates of pre-attentive processing of Cantonese lexical tones: The effects of pitch contour and pitch height

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Cited by 64 publications
(51 citation statements)
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“…Lexical tone is of further interest because its primary auditory correlate is based on variations in pitch, a multidimensional perceptual attribute that relies on several acoustic features. MMN studies of tone languages have revealed that pitch contour and pitch height are two important features used in early, preattentive lexical tone processing (Chandrasekaran, Gandour, & Krishnan, 2007; Chandrasekaran, Krishnan, & Gandour, 2007; Tsang, Jia, Huang, & Chen, 2011). These findings notwithstanding, any definitive interpretations about cortical pitch processing must be tempered by the fact that the MMN is comprised of both auditory and cognitive mechanisms of frequency change detection in auditory cortex (Maess, Jacobsen, Schroger, & Friederici, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Lexical tone is of further interest because its primary auditory correlate is based on variations in pitch, a multidimensional perceptual attribute that relies on several acoustic features. MMN studies of tone languages have revealed that pitch contour and pitch height are two important features used in early, preattentive lexical tone processing (Chandrasekaran, Gandour, & Krishnan, 2007; Chandrasekaran, Krishnan, & Gandour, 2007; Tsang, Jia, Huang, & Chen, 2011). These findings notwithstanding, any definitive interpretations about cortical pitch processing must be tempered by the fact that the MMN is comprised of both auditory and cognitive mechanisms of frequency change detection in auditory cortex (Maess, Jacobsen, Schroger, & Friederici, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies of MMN, the MMN component typically peaks around 200–250 ms (Näätänen et al, 1978, 2007; Näätänen and Alho, 1997). Researchers usually choose a time window around this peak based on the grand-average waveforms of their particular data, which could include 100–350 ms (e.g., Kaan et al, 2008), 150–300 ms (e.g., Tsang et al, 2011), 230–360 ms (Wang et al, 2013b), and so on. Considering the usual range of MMN’s peak and the grand-average waveforms of the present study, we chose a time window of the MMNs to be 200–350 ms.…”
Section: Methodsmentioning
confidence: 99%
“…Using the mismatch negativity (MMN), Chinese listeners, relative to English, were more sensitive to pitch contour than pitch height in response to Mandarin tones, indicating that MMN may serve as a neural index of the relative saliency of underlying dimensions of pitch that are differentially weighted by language experience (Chandrasekaran, Gandour, & Krishnan, 2007). In Cantonese, the magnitude and latency of MMN were sensitive to the size of pitch height change, while the latency of P3a (an automatic attention shift induced by the detection of deviant features in the passive oddball paradigm) captured the presence of a change in pitch contour (Tsang, Jia, Huang, & Chen, 2011). In Mandarin, pitch height and contour dimensions associated with lexical tone were reported to be lateralized respectively to the right and left hemispheres (Wang, Wang, & Chen, 2013).…”
Section: Introductionmentioning
confidence: 99%