2022
DOI: 10.1016/j.neuroimage.2022.119395
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Multivariate analysis of speech envelope tracking reveals coupling beyond auditory cortex

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Cited by 23 publications
(18 citation statements)
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“…Our modeling approach was targeting the temporal dynamics of the speech and music stimuli. Beyond confirming that acoustic dynamics are strongly tracked by auditory neural dynamics, it revealed, investigating the entire cortex, that such neural tracking also occurs well outside of auditory regions -up to motor and inferior frontal areas (Figure 3B, see also Chalas et al, 2022;Zion Golumbic et al, 2013). Of note, this spatial map of speech dynamics encoding is very similar to former reports of the brain regions belonging to the language system (Diachek et al, 2020).…”
Section: P R E P R I Nsupporting
confidence: 85%
“…Our modeling approach was targeting the temporal dynamics of the speech and music stimuli. Beyond confirming that acoustic dynamics are strongly tracked by auditory neural dynamics, it revealed, investigating the entire cortex, that such neural tracking also occurs well outside of auditory regions -up to motor and inferior frontal areas (Figure 3B, see also Chalas et al, 2022;Zion Golumbic et al, 2013). Of note, this spatial map of speech dynamics encoding is very similar to former reports of the brain regions belonging to the language system (Diachek et al, 2020).…”
Section: P R E P R I Nsupporting
confidence: 85%
“…When tracking story speech, the distribution of brain sources included not only auditory regions but also frontoparietal cognitive regions. This is consistent with recent findings based on MEG and functional MRI [14,48], which have higher spatial resolution. The bilateral temporal lobe plays a vital role in the perception of acoustic signals.…”
Section: Neural Entrainment Patterns In the Source Spacesupporting
confidence: 93%
“…Neural speech tracking is widely used to study the neural processing of continuous speech, though primarily with audio-only stimuli (Brodbeck, Hong, et al, 2018;Chalas et al, 2022;Di Liberto et al, 2015;Keitel et al, 2018). Recent studies have used audiovisual speech settings, but without directly modeling the visual speech features Golumbic et al, 2013) or not incorporating their temporal dynamics due to the use of frequency-based methods (Aller et al, 2022;Bröhl et al, 2022;Park et al, 2016).…”
Section: Discussionmentioning
confidence: 99%