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  Linguistic structure and meaning organize neural oscillations into a content-specific hierarchy

Kaufeld, G., Bosker, H. R., Ten Oever, S., Alday, P. M., Meyer, A. S., & Martin, A. E. (2020). Linguistic structure and meaning organize neural oscillations into a content-specific hierarchy. Journal of Neuroscience, 49(2), 9467-9475. doi:10.1523/JNEUROSCI.0302-20.2020.

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 Creators:
Kaufeld, Greta1, 2, Author           
Bosker, Hans R.1, Author           
Ten Oever, Sanne3, 4, Author           
Alday, Phillip M.1, Author           
Meyer, Antje S.1, 4, Author           
Martin, Andrea E.3, 4, Author           
Affiliations:
1Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545              
2International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
3Language and Computation in Neural Systems, MPI for Psycholinguistics, Max Planck Society, ou_3217300              
4Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              

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 Abstract: Neural oscillations track linguistic information during speech comprehension (e.g., Ding et al., 2016; Keitel et al., 2018), and are known to be modulated by acoustic landmarks and speech intelligibility (e.g., Doelling et al., 2014; Zoefel & VanRullen, 2015). However, studies investigating linguistic tracking have either relied on non-naturalistic isochronous stimuli or failed to fully control for prosody. Therefore, it is still unclear whether low frequency activity tracks linguistic structure during natural speech, where linguistic structure does not follow such a palpable temporal pattern. Here, we measured electroencephalography (EEG) and manipulated the presence of semantic and syntactic information apart from the timescale of their occurrence, while carefully controlling for the acoustic-prosodic and lexical-semantic information in the signal. EEG was recorded while 29 adult native speakers (22 women, 7 men) listened to naturally-spoken Dutch sentences, jabberwocky controls with morphemes and sentential prosody, word lists with lexical content but no phrase structure, and backwards acoustically-matched controls. Mutual information (MI) analysis revealed sensitivity to linguistic content: MI was highest for sentences at the phrasal (0.8-1.1 Hz) and lexical timescale (1.9-2.8 Hz), suggesting that the delta-band is modulated by lexically-driven combinatorial processing beyond prosody, and that linguistic content (i.e., structure and meaning) organizes neural oscillations beyond the timescale and rhythmicity of the stimulus. This pattern is consistent with neurophysiologically inspired models of language comprehension (Martin, 2016, 2020; Martin & Doumas, 2017) where oscillations encode endogenously generated linguistic content over and above exogenous or stimulus-driven timing and rhythm information.

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Language(s): eng - English
 Dates: 2020-102020-10-232020-12
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1523/JNEUROSCI.0302-20.2020
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Title: Journal of Neuroscience
  Other : J. Neurosci.
Source Genre: Journal
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Publ. Info: Baltimore, MD : The Society
Pages: - Volume / Issue: 49 (2) Sequence Number: - Start / End Page: 9467 - 9475 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187