Complexity of STG signals and linguistic rhythm: a methodological study for EEG data
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- dc.contributor.author Silva Pereira, Silvana
- dc.contributor.author Ekin Özer, Ege
- dc.contributor.author Sebastián Gallés Núria
- dc.date.accessioned 2024-01-29T07:16:34Z
- dc.date.embargoEnd info:eu-repo/date/embargoEnd/2025-01-17
- dc.date.issued 2024
- dc.description Data de publicació electrónica: 17 January 2024
- dc.description.abstract The superior temporal and the Heschl’s gyri of the human brain play a fundamental role in speech processing. Neurons synchronize their activity to the amplitude envelope of the speech signal to extract acoustic and linguistic features, a process known as neural tracking/entrainment. Electroencephalography has been extensively used in language-related research due to its high temporal resolution and reduced cost, but it does not allow for a precise source localization. Motivated by the lack of a unified methodology for the interpretation of source reconstructed signals, we propose a method based on modularity and signal complexity. The procedure was tested on data from an experiment in which we investigated the impact of native language on tracking to linguistic rhythms in two groups: English natives and Spanish natives. In the experiment, we found no effect of native language but an effect of language rhythm. Here, we compare source projected signals in the auditory areas of both hemispheres for the different conditions using nonparametric permutation tests, modularity, and a dynamical complexity measure. We found increasing values of complexity for decreased regularity in the stimuli, giving us the possibility to conclude that languages with less complex rhythms are easier to track by the auditory cortex.
- dc.description.sponsorship This research was supported by grants from the Spanish Ministry for Science and Innovation (Project PID2021-123416NB-I00 financed by MCIN/ AEI/ 10.13039/501100011033 / FEDER, UE), by the Economical and Social Research Council (ESRC) (ES/S010947/1, UK), and from Instituci´o Catalana de Recerca i Estudis Avan¸cats (P-5993 ICREA Acad`emia 2018) awarded to NSG. EEO was supported by the Catalan Government (2021 FI B2 00123 ID Q5850017D).
- dc.embargo.liftdate 2025-01-17
- dc.format.mimetype application/pdf
- dc.identifier.citation Silva Pereira S, Ekin Özer E, Sebastián Gallés N. Complexity of STG signals and linguistic rhythm: a methodological study for EEG data. Cerebral Cortex. 2024;34(2):13 p. DOI: 10.1093/cercor/bhad549
- dc.identifier.doi http://dx.doi.org/10.1093/cercor/bhad549
- dc.identifier.issn 1460-2199
- dc.identifier.uri http://hdl.handle.net/10230/58838
- dc.language.iso eng
- dc.publisher Oxford University Press
- dc.relation.ispartof Cerebral Cortex. 2024;34(2):13 p.
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-123416NB-I00
- dc.rights © Oxford University Press. This is a pre-copyedited, author-produced version of an article accepted for publication in Cerebral Cortex following peer review. The version of record Silva Pereira S, Ekin Özer E, Sebastián Gallés N. Complexity of STG signals and linguistic rhythm: a methodological study for EEG data. Cerebral Cortex. 2024:1-13. DOI: 10.1093/cercor/bhad549 is available online at: https://academic.oup.com/cercor/advance-article/doi/10.1093/cercor/bhad549/7571376.
- dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
- dc.subject.keyword EEG
- dc.subject.keyword Complexity
- dc.subject.keyword Linguistic rhythm
- dc.subject.keyword Methodology
- dc.subject.keyword Neural tracking
- dc.subject.keyword Oscillations
- dc.subject.keyword Source localization
- dc.title Complexity of STG signals and linguistic rhythm: a methodological study for EEG data
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion