2010
DOI: 10.1152/jn.00251.2010
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Discrimination of Speech Stimuli Based on Neuronal Response Phase Patterns Depends on Acoustics But Not Comprehension

Abstract: Speech stimuli give rise to neural activity in the listener that can be observed as waveforms using magnetoencephalography. Although waveforms vary greatly from trial to trial due to activity unrelated to the stimulus, it has been demonstrated that spoken sentences can be discriminated based on theta-band (3-7 Hz) phase patterns in single-trial response waveforms. Furthermore, manipulations of the speech signal envelope and fine structure that reduced intelligibility were found to produce correlated reductions… Show more

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Cited by 181 publications
(227 citation statements)
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“…The optimal frequency band for quantifying auditory-driven oscillations was determined as the frequency band exhibiting strongest entrainment (phase-locking) to natural sounds. Previous work has shown that entrainment of auditory oscillations derived from EEG, MEG, or intracortical data is strongest between 2 and 9 Hz (Luo and Poeppel, 2007;Kayser et al, 2009;Howard and Poeppel, 2010;Ding and Simon, 2012;Ng et al, 2012). For our experimental setup and natural sounds, we determined the optimal band using data acquired in a previous study (Ng et al, 2012), in which we presented a series of naturalistic sounds (a subset of those used to construct the background cacophony in the present study) for a prolonged period of time (52 s).…”
Section: Methodsmentioning
confidence: 99%
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“…The optimal frequency band for quantifying auditory-driven oscillations was determined as the frequency band exhibiting strongest entrainment (phase-locking) to natural sounds. Previous work has shown that entrainment of auditory oscillations derived from EEG, MEG, or intracortical data is strongest between 2 and 9 Hz (Luo and Poeppel, 2007;Kayser et al, 2009;Howard and Poeppel, 2010;Ding and Simon, 2012;Ng et al, 2012). For our experimental setup and natural sounds, we determined the optimal band using data acquired in a previous study (Ng et al, 2012), in which we presented a series of naturalistic sounds (a subset of those used to construct the background cacophony in the present study) for a prolonged period of time (52 s).…”
Section: Methodsmentioning
confidence: 99%
“…Low-frequency rhythms in visual cortex time-lock to the presentation of video clips (Montemurro et al, 2008), and delta and theta oscillations in auditory cortex are found to entrain to the envelope of natural sounds (Luo and Poeppel, 2007;Howard and Poeppel, 2010). This auditory entrainment can be sufficiently precise and reliable that individual stimulus epochs can be reliably discriminated from oscillatory phase patterns (Luo and Poeppel, 2007;Ng et al, 2012), suggesting that it may serve as a key mechanism for segmenting auditory scenes and the integration of auditory information over time (Giraud and Poeppel, 2012;Zion Golumbic et al, 2012).…”
Section: Introductionmentioning
confidence: 94%
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“…The auditory induced response of the brain has been studied with specific stimulus types such as perturbed and unperturbed sequences of pure tones [6,7,8,9], repeated identical words [10], targeted words in specifically designed sentences [11], and repeating modified and unmodified sentences (changing the pitch of the last word) [12,13]. For example, the gamma band is activated in response to pure-tones with temporal perturbations [6], it is also affected when subjects are presented with different types of keywords in sentences [11], and an increase in 40 Hz power has been observed in response to standard but not deviant repeating words [10].…”
Section: Introductionmentioning
confidence: 99%
“…As mentioned before, there are a limited number of studies on the brain's response to normal speech such as words and sentences [10,12,13,11,19,20,21]. In addition, not all of these studies target the induced response but rather focus on the evoked response to these stimuli.…”
Section: Introductionmentioning
confidence: 99%