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dc.contributor.authorLizarazu, Mikel
dc.contributor.authorLallier, Marie
dc.contributor.authorMolinaro, Nicola
dc.date.accessioned2019-10-08T08:11:08Z
dc.date.available2019-10-08T08:11:08Z
dc.date.issued2019
dc.identifier.citationLizarazu, M. , Lallier, M. and Molinaro, N. (2019), Phase−amplitude coupling between theta and gamma oscillations adapts to speech rate. Ann. N.Y. Acad. Sci., 1453: 140-152. doi:10.1111/nyas.14099es_ES
dc.identifier.issn0077-8923
dc.identifier.urihttp://hdl.handle.net/10810/35644
dc.descriptionFirst published: 24 April 2019es_ES
dc.description.abstractLow- and high-frequency cortical oscillations play an important role in speech processing. Low-frequency neural oscillations in the delta (<4Hz) and theta (4–8 Hz) bands entrain to the prosodic and syllabic rates of speech, respectively. Theta band neural oscillations modulate high-frequency neural oscillations in the gamma band (28−40Hz), which have been hypothesized to be crucial for processing phonemes in natural speech. Since speech rate is known to vary considerably, both between and within talkers, it has yet to be determined whether this nested gamma response reflects an externally induced rhythm sensitive to the rate of the fine-grained structure of the input or a speech rate−independent endogenous response. Here, we recorded magnetoencephalography responses from participants listening to a speech delivered at different rates: decelerated, normal, and accelerated. We found that the phase of theta band oscillations in left and right auditory regions adjusts to speech rate variations. Importantly, we showed that the peak of the gamma response—coupled to the phase of theta—follows the speech rate. This indicates that gamma activity in auditory regions synchronizes with the fine-grain properties of speech, possibly reflecting detailed acoustic analysis of the input.es_ES
dc.description.sponsorshipThis research was supported in part by the Agence Nationale de la Recherche (ANR-10-LABX-0087 IEC and ANR- 10-IDEX-0001-02 PSL), the EUR Frontiers (ANR- 17-EURE-0017), the European Research Council (ERC-2011-ADG-295362), and the MINECO (PSI2015-67353-R). This work was also partially supported by the Agencia Estatal de Investigación (AEI), the Fondo Europeo de Desarrollo Regional (FEDER) (grant PSI2015-65694-P), the “Severo Ochoa” programme (SEV-2015-490) for Centres of Excellence in R&D, and the Basque government (grant PI_2016_1_0014). The authors would like to acknowledge all the participants taking part in this study.es_ES
dc.language.isoenges_ES
dc.publisherAnnals of the New York Academy of Scienceses_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/ERC-2011-ADG-295362es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PSI2015-67353-Res_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PSI2015-65694-Pes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/SEV-2015-0490es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectneural oscillationses_ES
dc.subjectspeech ratees_ES
dc.subjectauditory regionses_ES
dc.subjectmagnetoencephalographyes_ES
dc.titlePhase−amplitude coupling between theta and gamma oscillations adapts to speech ratees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2019 The New York Academy of Sciences. All Rights Reservedes_ES
dc.relation.publisherversionhttps://nyaspubs.onlinelibrary.wiley.com/journal/17496632es_ES
dc.identifier.doi10.1111/nyas.14099


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