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Low Frequency Oscillations Code Speech during Verbal Working Memory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F19%3A73596180" target="_blank" >RIV/61989592:15110/19:73596180 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.jneurosci.org/content/39/33/6498" target="_blank" >https://www.jneurosci.org/content/39/33/6498</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1523/JNEUROSCI.0018-19.2019" target="_blank" >10.1523/JNEUROSCI.0018-19.2019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Low Frequency Oscillations Code Speech during Verbal Working Memory

  • Original language description

    The way the human brain represents speech in memory is still unknown. An obvious characteristic of speech is its evolvement over time. During speech processing, neural oscillations are modulated by the temporal properties of the acoustic speech signal, but also acquired knowledge on the temporal structure of language influences speech perception-related brain activity. This suggests that speech could be represented in the temporal domain, a form of representation that the brain also uses to encode autobiographic memories. Empirical evidence for such a memory code is lacking. We investigated the nature of speech memory representations using direct cortical recordings in the left perisylvian cortex during delayed sentence reproduction in female and male patients undergoing awake tumor surgery. Our results reveal that the brain endogenously represents speech in the temporal domain. Temporal pattern similarity analyses revealed that the phase of fronto-temporal low frequency oscillations, primarily in the beta range, represents sentence identity in working memory. The positive relationship between beta power during working memory and task performance suggests working memory representations benefit from increased phase separation.SIGNIFICANCE STATEMENTMemory is an endogenous source of information based on experience. While neural oscillations encode autobiographic memories in the temporal domain, little is known on their contribution to memory representations of human speech.Our electrocortical recordings in participants who maintain sentences in memory identify the phase of left fronto-temporal beta oscillations as the most prominent information carrier of sentence identity. These observations provide evidence for a theoretical model on speech memory representations and explain why interfering with beta oscillations in the left inferior frontal cortex diminishes verbal working memory capacity. The lack of sentence identity coding at the syllabic rate suggests that sentences are represented in memory in a more abstract form compared to speech coding during speech perception and production.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF NEUROSCIENCE

  • ISSN

    0270-6474

  • e-ISSN

  • Volume of the periodical

    2019 (39)

  • Issue of the periodical within the volume

    33

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    6498-6512

  • UT code for WoS article

    000481570300010

  • EID of the result in the Scopus database

    2-s2.0-85071354509