Alpha and theta brain oscillations index dissociable processes in spoken word recognition

Strauß, Antje; Kotz, Sonja A.; Scharinger, Mathias; Obleser, Jonas

doi:10.1016/j.neuroimage.2014.04.005

Cited by 88 publications

(80 citation statements)

References 95 publications

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“…The 3-Hz phase effects could then reflect the suppression of the irrelevant phonetic cues that would not be compatible with the perceived word. This would be consistent with recent findings showing that LFO encode phonemic information (Di Liberto et al 2015) and that theta (3-5 Hz) oscillations are involved in phonemic restoration (Riecke et al 2009(Riecke et al , 2012Strauss et al 2014;Sunami et al 2013).…”

Section: Brain Oscillatory Mechanisms Of Linguistic Parsingsupporting

confidence: 93%

High-frequency neural activity predicts word parsing in ambiguous speech streams

Kösem

Basirat

Azizi

et al. 2016

Journal of Neurophysiology

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Kösem A, Basirat A, Azizi L, van Wassenhove V. High-frequency neural activity predicts word parsing in ambiguous speech streams. J Neurophysiol 116: 2497-2512, 2016. First published September 7, 2016 doi:10.1152/jn.00074.2016.-During speech listening, the brain parses a continuous acoustic stream of information into computational units (e.g., syllables or words) necessary for speech comprehension. Recent neuroscientific hypotheses have proposed that neural oscillations contribute to speech parsing, but whether they do so on the basis of acoustic cues (bottom-up acoustic parsing) or as a function of available linguistic representations (top-down linguistic parsing) is unknown. In this magnetoencephalography study, we contrasted acoustic and linguistic parsing using bistable speech sequences. While listening to the speech sequences, participants were asked to maintain one of the two possible speech percepts through volitional control. We predicted that the tracking of speech dynamics by neural oscillations would not only follow the acoustic properties but also shift in time according to the participant's conscious speech percept. Our results show that the latency of high-frequency activity (specifically, beta and gamma bands) varied as a function of the perceptual report. In contrast, the phase of low-frequency oscillations was not strongly affected by top-down control. Whereas changes in low-frequency neural oscillations were compatible with the encoding of prelexical segmentation cues, high-frequency activity specifically informed on an individual's conscious speech percept.

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Section: Brain Oscillatory Mechanisms Of Linguistic Parsingsupporting

confidence: 93%

High-frequency neural activity predicts word parsing in ambiguous speech streams

Kösem

Basirat

Azizi

et al. 2016

Journal of Neurophysiology

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“…Previous research has suggested that post-stimulus alpha suppression reflects a state that allows for an increase of mental operations that can be performed on the incoming speech signal, thus, active cognitive processing (e.g,. Shanin et al, 2009;Obleser & Weisz, 2012;Strauß, Kotz, et al, 2014;Strauß, Wostmann, et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…The lack of alpha suppression that arises after participants listened to severely degraded speech could reflect neural oscillators that keep alpha power high to rule out erroneous activations in relevant language-and meaning-related areas (Obleser & Weisz, 2012) and is mostly observed after a full linguistic utterance (Klimesch et al, 2007;Shahin, Picton, & Miller, 2009). Another recent study demonstrated a parametric suppression in alpha band activity as items increasingly matched real words, with lowered functional inhibition for more word-like input (Strauß, Kotz, et al, 2014). Strauβ and colleagues propose that the observed enhanced alpha power seems to 'gate' words towards lexical integration and alpha oscillations can be seen as an indicator of cognitive load in audition (Strauß, Wostmann, & Obleser, 2014).…”

Section: Introductionmentioning

confidence: 98%

“…Foxe et al, 1998;Adrian, 1944;Fu et al, 2001;Jensen & Mazaheri, 2010;Klimesch et al, 2007;Obleser & Weisz, 2012;Strauß, Kotz, et al, 2014). For example, in the audiovisual domain, Foxe et al (1998) reported a 10-Hz parietal-occipital enhancement over visual areas when participants were cued to attend to an auditory stimulus (a beep) instead of a visual stimulus (a flash).…”

Section: Introductionmentioning

confidence: 99%

“…Recent studies on degraded speech processing have argued that the suppression of alpha oscillations is associated with more effective language processing whereas alpha power remains high when the language processing network is inhibited (Obleser & Kotz, 2010Obleser & Weisz, 2012;Strauß, Kotz, et al, 2014). The lack of alpha suppression that arises after participants listened to severely degraded speech could reflect neural oscillators that keep alpha power high to rule out erroneous activations in relevant language-and meaning-related areas (Obleser & Weisz, 2012) and is mostly observed after a full linguistic utterance (Klimesch et al, 2007;Shahin, Picton, & Miller, 2009).…”

Section: Introductionmentioning

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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Neurocomputational Properties of Speech Sound Perception and Production

Grimaldi

2023

Neuromethods

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Alpha and theta brain oscillations index dissociable processes in spoken word recognition

Cited by 88 publications

References 95 publications

High-frequency neural activity predicts word parsing in ambiguous speech streams

High-frequency neural activity predicts word parsing in ambiguous speech streams

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

Neurocomputational Properties of Speech Sound Perception and Production

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