Literature DB >> 29044763

Theta band oscillations reflect more than entrainment: behavioral and neural evidence demonstrates an active chunking process.

Xiangbin Teng1, Xing Tian2,3, Keith Doelling4,5, David Poeppel1,4.   

Abstract

Parsing continuous acoustic streams into perceptual units is fundamental to auditory perception. Previous studies have uncovered a cortical entrainment mechanism in the delta and theta bands (~1-8 Hz) that correlates with formation of perceptual units in speech, music, and other quasi-rhythmic stimuli. Whether cortical oscillations in the delta-theta bands are passively entrained by regular acoustic patterns or play an active role in parsing the acoustic stream is debated. Here, we investigate cortical oscillations using novel stimuli with 1/f modulation spectra. These 1/f signals have no rhythmic structure but contain information over many timescales because of their broadband modulation characteristics. We chose 1/f modulation spectra with varying exponents of f, which simulate the dynamics of environmental noise, speech, vocalizations, and music. While undergoing magnetoencephalography (MEG) recording, participants listened to 1/f stimuli and detected embedded target tones. Tone detection performance varied across stimuli of different exponents and can be explained by local signal-to-noise ratio computed using a temporal window around 200 ms. Furthermore, theta band oscillations, surprisingly, were observed for all stimuli, but robust phase coherence was preferentially displayed by stimuli with exponents 1 and 1.5. We constructed an auditory processing model to quantify acoustic information on various timescales and correlated the model outputs with the neural results. We show that cortical oscillations reflect a chunking of segments, > 200 ms. These results suggest an active auditory segmentation mechanism, complementary to entrainment, operating on a timescale of ~200 ms to organize acoustic information.
© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  MEG analysis; auditory perception; auditory system; oscillation

Mesh:

Year:  2017        PMID: 29044763      PMCID: PMC5904023          DOI: 10.1111/ejn.13742

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  60 in total

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6.  Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing.

Authors:  Keith B Doelling; Luc H Arnal; Oded Ghitza; David Poeppel
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9.  Attentional gain control of ongoing cortical speech representations in a "cocktail party".

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  17 in total

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2.  Cortical Tracking of Speech-in-Noise Develops from Childhood to Adulthood.

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4.  Pitch, Timbre and Intensity Interdependently Modulate Neural Responses to Salient Sounds.

Authors:  Emine Merve Kaya; Nicolas Huang; Mounya Elhilali
Journal:  Neuroscience       Date:  2020-05-21       Impact factor: 3.590

5.  Modulation change detection in human auditory cortex: Evidence for asymmetric, non-linear edge detection.

Authors:  Seung-Goo Kim; David Poeppel; Tobias Overath
Journal:  Eur J Neurosci       Date:  2020-03-09       Impact factor: 3.386

6.  Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent.

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7.  Reliability of Neural Entrainment in the Human Auditory System.

Authors:  Yuranny Cabral-Calderin; Molly J Henry
Journal:  J Neurosci       Date:  2021-12-10       Impact factor: 6.709

8.  Eye movements during text reading align with the rate of speech production.

Authors:  Benjamin Gagl; Klara Gregorova; Julius Golch; Stefan Hawelka; Jona Sassenhagen; Alessandro Tavano; David Poeppel; Christian J Fiebach
Journal:  Nat Hum Behav       Date:  2021-12-06

9.  Editorial: Brain Oscillations in Human Communication.

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10.  An oscillator model better predicts cortical entrainment to music.

Authors:  Keith B Doelling; M Florencia Assaneo; Dana Bevilacqua; Bijan Pesaran; David Poeppel
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-24       Impact factor: 11.205

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