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  • 1
    Online Resource
    Online Resource
    American Psychological Association (APA) ; 2020
    In:  Journal of Experimental Psychology: Learning, Memory, and Cognition Vol. 46, No. 3 ( 2020-03), p. 549-562
    In: Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association (APA), Vol. 46, No. 3 ( 2020-03), p. 549-562
    Type of Medium: Online Resource
    ISSN: 1939-1285 , 0278-7393
    RVK:
    Language: English
    Publisher: American Psychological Association (APA)
    Publication Date: 2020
    detail.hit.zdb_id: 2068222-0
    SSG: 5,2
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  • 2
    Online Resource
    Online Resource
    Informa UK Limited ; 2020
    In:  Language, Cognition and Neuroscience Vol. 35, No. 7 ( 2020-09-03), p. 933-948
    In: Language, Cognition and Neuroscience, Informa UK Limited, Vol. 35, No. 7 ( 2020-09-03), p. 933-948
    Type of Medium: Online Resource
    ISSN: 2327-3798 , 2327-3801
    RVK:
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2753366-9
    SSG: 5,2
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  • 3
    Online Resource
    Online Resource
    Society for Neuroscience ; 2020
    In:  The Journal of Neuroscience Vol. 40, No. 49 ( 2020-12-02), p. 9467-9475
    In: The Journal of Neuroscience, Society for Neuroscience, Vol. 40, No. 49 ( 2020-12-02), p. 9467-9475
    Abstract: Neural oscillations track linguistic information during speech comprehension (Ding et al., 2016; Keitel et al., 2018), and are known to be modulated by acoustic landmarks and speech intelligibility (Doelling et al., 2014; Zoefel and 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 backward 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 (1.9–2.8 Hz) timescales, 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 and Doumas, 2017) where oscillations encode endogenously generated linguistic content over and above exogenous or stimulus-driven timing and rhythm information. SIGNIFICANCE STATEMENT Biological systems like the brain encode their environment not only by reacting in a series of stimulus-driven responses, but by combining stimulus-driven information with endogenous, internally generated, inferential knowledge and meaning. Understanding language from speech is the human benchmark for this. Much research focuses on the purely stimulus-driven response, but here, we focus on the goal of language behavior: conveying structure and meaning. To that end, we use naturalistic stimuli that contrast acoustic-prosodic and lexical-semantic information to show that, during spoken language comprehension, oscillatory modulations reflect computations related to inferring structure and meaning from the acoustic signal. Our experiment provides the first evidence to date that compositional structure and meaning organize the oscillatory response, above and beyond prosodic and lexical controls.
    Type of Medium: Online Resource
    ISSN: 0270-6474 , 1529-2401
    Language: English
    Publisher: Society for Neuroscience
    Publication Date: 2020
    detail.hit.zdb_id: 1475274-8
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    eLife Sciences Publications, Ltd ; 2022
    In:  eLife Vol. 11 ( 2022-07-14)
    In: eLife, eLife Sciences Publications, Ltd, Vol. 11 ( 2022-07-14)
    Abstract: Linguistic phrases are tracked in sentences even though there is no one-to-one acoustic phrase marker in the physical signal. This phenomenon suggests an automatic tracking of abstract linguistic structure that is endogenously generated by the brain. However, all studies investigating linguistic tracking compare conditions where either relevant information at linguistic timescales is available, or where this information is absent altogether (e.g., sentences versus word lists during passive listening). It is therefore unclear whether tracking at phrasal timescales is related to the content of language, or rather, results as a consequence of attending to the timescales that happen to match behaviourally relevant information. To investigate this question, we presented participants with sentences and word lists while recording their brain activity with magnetoencephalography (MEG). Participants performed passive, syllable, word, and word-combination tasks corresponding to attending to four different rates: one they would naturally attend to, syllable-rates, word-rates, and phrasal-rates, respectively. We replicated overall findings of stronger phrasal-rate tracking measured with mutual information for sentences compared to word lists across the classical language network. However, in the inferior frontal gyrus (IFG) we found a task effect suggesting stronger phrasal-rate tracking during the word-combination task independent of the presence of linguistic structure, as well as stronger delta-band connectivity during this task. These results suggest that extracting linguistic information at phrasal rates occurs automatically with or without the presence of an additional task, but also that IFG might be important for temporal integration across various perceptual domains.
    Type of Medium: Online Resource
    ISSN: 2050-084X
    Language: English
    Publisher: eLife Sciences Publications, Ltd
    Publication Date: 2022
    detail.hit.zdb_id: 2687154-3
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