2021
DOI: 10.1016/j.neuroimage.2021.118577
|View full text |Cite
|
Sign up to set email alerts
|

Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(15 citation statements)
references
References 91 publications
2
12
0
Order By: Relevance
“…However, our tasks were more challenging due to extra noise masking, which might urge the dLMC engagement. Overall, previous studies have reported that the right motor cortex entrains speech stream 60 and is involved in auditory-speech coupling 61 resembling its left counterpart, and we provide new evidence for its engagement in the perception of lower-level phonemic cues.…”
Section: Discussionsupporting
confidence: 74%
See 1 more Smart Citation
“…However, our tasks were more challenging due to extra noise masking, which might urge the dLMC engagement. Overall, previous studies have reported that the right motor cortex entrains speech stream 60 and is involved in auditory-speech coupling 61 resembling its left counterpart, and we provide new evidence for its engagement in the perception of lower-level phonemic cues.…”
Section: Discussionsupporting
confidence: 74%
“…Studies have reported that neural oscillations in bilateral frontoparietal cortices couple with the left auditory cortex in speech perception (Park et al, 2015). Besides, particularly for the motor cortex, the right LMC is essential in detecting human voice (Lévêque et al, 2013), and the right motor cortex entrains speech (Hincapié Casas et al, 2021) and is involved in auditory-speech coupling (Keitel et al, 2017) resembling its left counterpart. Similarly, in the current study, we showed that despite the general left-lateralization, the right LMC was essential in both lexical tone and consonant perception in noisy conditions.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, theta dynamics more closely resembles typical auditory activity (Bourguignon et al, 2018;Zuk et al, 2021). A somewhat different result was obtained by Hincapié Casas et al (2021), who used MEG to measure neural activity aligned to speech sentences spoken at a fast rate (nine syllables/s) and compared it with that to sentences spoken at a slower rate, but time-compressed to the fast rate. This time-compressed speech was not only significantly less intelligible than natural speech; it also did not entrain neural activity-in contrast to naturally fast speech that produced a reliable alignment between MEG signal and speech rhythm.…”
Section: Speech-specific Neural Dynamicsmentioning
confidence: 87%
“…phrase, syllable, phoneme) is constrained to its typical ( eigenfrequency ) range. Indeed, speech understanding drops if word rate exceeds 4–5 Hz (Carver, 1973), or when the syllabic rate is above ~8–10 Hz (Ahissar et al, 2001; Ghitza & Greenberg, 2009; Hincapié Casas et al, 2021). Interestingly, comprehension of time‐compressed, unintelligible speech is recovered if silent gaps are introduced between syllables (without slowing the time‐compressed syllables themselves), suggesting that the restoration of a typical syllabic rate is key to successful speech perception (Ghitza & Greenberg, 2009).…”
Section: Properties Of Neural Dynamics In the Auditory System (And Be...mentioning
confidence: 99%
“…In the cortex, the timescale of neural oscillations may be related to linguistic processing (e.g., Greenberg, 1999 ; Ghitza and Greenberg, 2009 ; Giraud and Poeppel, 2012 ; Peelle and Davis, 2012 ) since individual neurons can adapt to small changes in the rate of speech (e.g., Lerner et al, 2014 ). In addition, neural oscillations may adapt better to naturally rapid speech than to time-compressed speech (e.g., Hincapié Casas et al, 2021 ). A measure of the accuracy of a listener’s neurons to track acoustic modulation in speech may better predict performance on time-compressed speech than measures of cognition.…”
Section: Discussionmentioning
confidence: 99%