The contribution of EEG coherence to the investigation of language

Weiss, Sabine; Müller, Horst M.

doi:10.1016/s0093-934x(03)00067-1

Cited by 218 publications

(178 citation statements)

References 74 publications

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“…They related the theta-band effects to increased working memory demands, the gamma-band effects to higher attentional processing, and the beta-band effects to more extensive semanticpragmatic analysis. However, elsewhere ( Weiss & Mueller, 2003) the authors argue that the beta and gamma effects may be related to syntactic and semantic analysis, a view that better converges with our own observations (as far as gamma and semantic unification is concerned). To summarize, the available data concerning oscillatory neuronal synchrony and syntactic unification do not yield a very clear picture.…”

Section: Introductionsupporting

confidence: 80%

Syntactic Unification Operations Are Reflected in Oscillatory Dynamics during On-line Sentence Comprehension

Bastiaansen

Magyari

Hagoort

2010

Journal of Cognitive Neuroscience

181

217

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Abstract■ There is growing evidence suggesting that synchronization changes in the oscillatory neuronal dynamics in the EEG or MEG reflect the transient coupling and uncoupling of functional networks related to different aspects of language comprehension. In this work, we examine how sentence-level syntactic unification operations are reflected in the oscillatory dynamics of the MEG. Participants read sentences that were either correct, contained a word category violation, or were constituted of random word sequences devoid of syntactic structure. A time-frequency analysis of MEG power changes revealed three types of effects. The first type of effect was related to the detection of a (word category) violation in a syntactically structured sentence, and was found in the alpha and gamma frequency bands. A second type of effect was maximally sensitive to the syntactic manipulations: A linear increase in beta power across the sentence was present for correct sentences, was disrupted upon the occurrence of a word category violation, and was absent in syntactically unstructured random word sequences. We therefore relate this effect to syntactic unification operations. Thirdly, we observed a linear increase in theta power across the sentence for all syntactically structured sentences. The effects are tentatively related to the building of a working memory trace of the linguistic input. In conclusion, the data seem to suggest that syntactic unification is reflected by neuronal synchronization in the lower-beta frequency band. ■

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Section: Introductionsupporting

confidence: 80%

Syntactic Unification Operations Are Reflected in Oscillatory Dynamics during On-line Sentence Comprehension

Bastiaansen

Magyari

Hagoort

2010

Journal of Cognitive Neuroscience

181

217

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“…2 B, available at www.jneurosci.org as supplemental material). We also examined whether the directionality of the Granger causality is correlated with the phase of coherence, which reflects the systematic lag time between the correlated signals (Kocsis and Vertes, 1997;Schack et al, 1999;Bressler and Kelso, 2001;Weiss and Mueller, 2003;DeCoteau et al, 2007;Saalmann et al, 2007;Gregoriou et al, 2009). The directionality index of the Granger causality was also found to be significantly correlated with the phase of coherence (r ϭ 0.577; p Ͻ 0.002) (Fig.…”

Section: Gamma Granger Causality Between Spike Trains Of Single It Nementioning

confidence: 99%

Triphasic Dynamics of Stimulus-Dependent Information Flow between Single Neurons in Macaque Inferior Temporal Cortex

Hirabayashi¹,

Takeuchi²,

Tamura³

et al. 2010

J. Neurosci.

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The functional connectivity between cortical neurons is not static and is known to exhibit contextual modulations in terms of the coupling strength. Here we hypothesized that the information flow in a cortical local circuit exhibits complex forward-and-back dynamics, and conducted Granger causality analysis between the neuronal spike trains that were simultaneously recorded from macaque inferior temporal (IT) cortex while the animals performed a visual object discrimination task. Spikes from neuron pairs with a displaced peak on the cross-correlogram (CCG) showed Granger causality in the gamma-frequency range (30 -80 Hz) with the dominance in the direction consistent with the CCG peak (forward direction). Although, in a classical view, the displaced CCG peak has been interpreted as an indicative of a pauci-synaptic serial linkage, temporal dynamics of the gamma Granger causality after stimulus onset exhibited a more complex triphasic pattern,withatransientforwardcomponentfollowedbyaslowlydevelopingbackwardcomponentandsubsequentreappearanceoftheforward component. These triphasic dynamics of causality were not explained by the firing rate dynamics and were not observed for cell pairs that exhibited a center peak on the CCG. Furthermore, temporal dynamics of Granger causality depended on the feature configuration within the presented object. Together, these results demonstrate that the classical view of functional connectivity could be expanded to incorporate more complex forward-and-back dynamics and also imply that multistage processing in the recognition of visual objects might be implemented by multiphasic dynamics of directional information flow between single neurons in a local circuit in the IT cortex.

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“…One approach could be to inspect fluctuations in neural coherence and synchrony (e.g., Breakspear, Williams, & Stam, 2004;Delorme et al, 2002;Weiss & Mueller, 2003) and oscillatory behavior (e.g., Basar, Basar-Eroglu, Karakas, & Schür-mann, 2001). Differences in the timing of synchronization could indicate different amounts of instability.…”

Section: Optionpreferencementioning

confidence: 99%