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  Modulation spectra capture EEG responses to speech signals and drive distinct temporal response functions

Teng, X., Meng, Q., & Poeppel, D. (2021). Modulation spectra capture EEG responses to speech signals and drive distinct temporal response functions. eNeuro, 8(1): ENEURO.0399-20.2020. doi:10.1523/ENEURO.0399-20.2020.

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neu-21-ten-01-modulation.pdf (Verlagsversion), 3MB
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Copyright © 2021 Teng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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 Urheber:
Teng, Xiangbin1, Autor           
Meng, Qinglin2, Autor
Poeppel, David1, 3, 4, Autor           
Affiliations:
1Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              
2Acoustic Laboratory, School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641, China, ou_persistent22              
3Max-Planck-NYU Center for Language, Music, and Emotion, New York University, New York, NY 10003, ou_persistent22              
4Department of Psychology, New York University, New York, NY 10003, ou_persistent22              

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Schlagwörter: amplitude envelope, auditory receptive field, neural entrainment, speech perception, temporal processing, temporal window
 Zusammenfassung: Speech signals have a unique shape of long-term modulation spectrum that is distinct from environmental noise, music, and non-speech vocalizations. Does the human auditory system adapt to the speech long-term modulation spectrum and efficiently extract critical information from speech signals? To answer this question, we tested whether neural responses to speech signals can be captured by specific modulation spectra of non-speech acoustic stimuli. We generated amplitude modulated (AM) noise with the speech modulation spectrum and 1/f modulation spectra of different exponents to imitate temporal dynamics of different natural sounds. We presented these AM stimuli and a 10-min piece of natural speech to 19 human participants undergoing electroencephalography (EEG) recording. We derived temporal response functions (TRFs) to the AM stimuli of different spectrum shapes and found distinct neural dynamics for each type of TRFs. We then used the TRFs of AM stimuli to predict neural responses to the speech signals, and found that (1) the TRFs of AM modulation spectra of exponents 1, 1.5, and 2 preferably captured EEG responses to speech signals in the δ band and (2) the θ neural band of speech neural responses can be captured by the AM stimuli of an exponent of 0.75. Our results suggest that the human auditory system shows specificity to the long-term modulation spectrum and is equipped with characteristic neural algorithms tailored to extract critical acoustic information from speech signals.

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Sprache(n): eng - English
 Datum: 2020-11-082020-09-162020-11-142021-01-05
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1523/ENEURO.0399-20.2020
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Titel: eNeuro
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Society for Neuroscience
Seiten: - Band / Heft: 8 (1) Artikelnummer: ENEURO.0399-20.2020 Start- / Endseite: - Identifikator: ISSN: 2373-2822
CoNE: https://pure.mpg.de/cone/journals/resource/106249492X