Top-down knowledge supports the retrieval of lexical information from degraded speech

Hannemann, Ronny; Obleser, Jonas; Eulitz, Carsten

doi:10.1016/j.brainres.2007.03.069

Cited by 81 publications

(91 citation statements)

References 48 publications

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“…So far, gamma power increases in language comprehension research have mostly been associated with semantic unification processes (see e.g. Bastiaansen et al, 2012) such as assessing the predictability of an upcoming word based on the preceding context (Wang et al, 2012), the activation of local functional networks that support semantic representations (Mellem et al, 2013), and the successful matching of top-down lexical memory traces upon understanding degraded auditory stimuli (Hannemann et al, 2007). More generally, gamma power increases are thought to reflect active, neuronal processing, mediating feature binding (e.g.…”

Section: Discussionmentioning

confidence: 99%

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Alpha and gamma band oscillations index differential processing of acoustically reduced and full forms

Drijvers

Mulder²,

Ernestus

2016

Brain and Language

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Reduced forms like yeshay for yesterday often occur in conversations. Previous behavioral research reported a processing advantage for full over reduced forms. The present study investigated whether this processing advantage is reflected in a modulation of alpha (8)(9)(10)(11)(12) Hz) and gamma (30+ Hz) band activity. In three electrophysiological experiments, participants listened to full and reduced forms in isolation (Experiment 1), sentence-final position (Experiment 2), or mid-sentence position (Experiment 3). Alpha power was larger in response to reduced forms than to full forms, but only in Experiments 1 and 2. We interpret these increases in alpha power as reflections of higher auditory cognitive load. In all experiments, gamma power only increased in response to full forms, which we interpret as showing that lexical activation spreads more quickly through the semantic network for full than for reduced forms. These results confirm a processing advantage for full forms, especially in non-medial sentence position.3

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Section: Discussionmentioning

confidence: 99%

“…Finally, an increase in gamma power was observed when participants had successfully comprehended a degraded speech signal (Hannemann, Obleser, & Eulitz, 2007). In this latter study, the increase in gamma power has been taken to indicate successful matching of degraded speech to lexical memory traces.…”

Section: Introductionmentioning

confidence: 90%

Alpha and gamma band oscillations index differential processing of acoustically reduced and full forms

Drijvers

Mulder²,

Ernestus

2016

Brain and Language

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show abstract

“…Several studies have reported enhancement of induced gamma band power in the 40-Hz range when perceiving a coherent object (Busch, Herrmann, Muller, Lenz, & Gruber, 2006;Gruber, Tsivilis, Montaldi, & Muller, 2004;Tallon-Baudry et al, 1996), and its role has been emphasized in matching stimuli to memory templates (Osipova et al, 2006;Gruber et al, 2004;Herrmann et al, 2004;Tallon-Baudry, Bertrand, Peronnet, & Pernier, 1998). Similarly, increased induced gamma band activity in the anterior temporal electrode sites has been found when participants listened to correctly identified speech compared with those not identified from degraded speech signals (Hannemann, Obleser, & Eulitz, 2007). These findings suggest that local gamma band enhancement during language learning could reflect the matching process between auditory input and lexical candidates that are built up continuously and incrementally during the ongoing exposure to the language.…”

Section: Gamma Band Modulationsmentioning

confidence: 96%

Brain Dynamics Sustaining Rapid Rule Extraction from Speech

Diego‐Balaguer

Fuentemilla

Rodrı́guez-Fornells

2011

Journal of Cognitive Neuroscience

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Abstract■ Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (20-40 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (4-8 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions. ■

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“…For example, time-frequency analyses have been carried out using Fourier Transform [25] or Wavelet Transform [11,3], normalisations have been performed using the baseline power [26,27,28,3] or the power of the whole time window being investigated [6], and statistical methods such as non-parametric Wilcoxon test [29], Analysis of Variance (ANOVA) tests [30], and bootstrapping [31] have been used to test the significance of the observed response.…”

Section: Introductionmentioning

confidence: 99%

Induced activity in EEG in response to auditory stimulation

Hosseini

Bell

Wang

et al. 2015

Biomedical Signal Processing and Control

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The response of the brain to a sensory stimulus may present itself in the electroencephalogram (EEG) as evoked and/or induced activity. While the evoked response is given by peaks and troughs in the signal, time-locked and phase-locked to the stimuli, the induced response is time-but not phase-locked, and can be considered as an increase or a decrease in the power of EEG in a specific frequency band at a specific time range with regard to the stimulus onset. The induced response does not have the same phase following successive stimuli. It is believed that cognition and perception of a stimulus present themselves primarily as the induced response in the EEG. In this paper, the induced response of the brain to auditory speech stimuli is investigated and different approaches to detect induced activity are compared. It is shown that there is an increase in theta and delta power in response to words compared to the baseline, starting around 500 ms after their onset. During this time, there is also an increase in pairwise coherence between the posterior electrodes. In response to tone bursts, a change in pairwise coherence was observed in the beta band starting around 200 ms. To the best of our knowledge, this is the first time such responses have been described using simple protocols without complex stimulus manipulations being involved. Responses in the EEG to speech rather than the more conventional tone-bursts or clicks suggests that it may be feasible to use the EEG as an objective means to demonstrate brain activation to salient real world stimuli. This would be of particular benefit in investigating access to speech in patients who are unable or unwilling to reliably respond to conventional subjective experimental protocols, such as infants.

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Top-down knowledge supports the retrieval of lexical information from degraded speech

Cited by 81 publications

References 48 publications

Alpha and gamma band oscillations index differential processing of acoustically reduced and full forms

Alpha and gamma band oscillations index differential processing of acoustically reduced and full forms

Brain Dynamics Sustaining Rapid Rule Extraction from Speech

Induced activity in EEG in response to auditory stimulation

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