Electrophysiological signatures of phonological and semantic maintenance in sentence repetition

Meltzer, Jed A.; Kielar, Aneta; Panamsky, Lilia; Links, Kira A.; Deschamps, Tiffany; Leigh, Rosie C.

doi:10.1016/j.neuroimage.2017.05.030

Cited by 26 publications

(29 citation statements)

References 93 publications

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“…These results also parallel those previously reported for domain‐general working memory tasks (Jensen & Tesche, ; Onton, Delorme, & Makeig, ) where frontal theta power increased with memory load. Bonhage et al () additionally found stronger beta synchronization in response to word lists compared to sentences, while Meltzer et al () in contrast, found stronger beta desynchronization in response to word lists compared to sentences. Two important considerations make it difficult to compare the results from Bonhage et al () and Meltzer et al ().…”

Section: Working Memorymentioning

confidence: 95%

“…Bonhage et al () additionally found stronger beta synchronization in response to word lists compared to sentences, while Meltzer et al () in contrast, found stronger beta desynchronization in response to word lists compared to sentences. Two important considerations make it difficult to compare the results from Bonhage et al () and Meltzer et al (). First, in Bonhage et al (), power in the delay period was expressed relative to power in a baseline interval at the end of the encoding period, while Meltzer et al () used a pre‐stimulus interval as their baseline.…”

Section: Working Memorymentioning

confidence: 95%

“…For an overview of the studies discussed in this section, see Table 1. Bonhage et al (2017) and Meltzer et al (2017) examined a "retention" period following sentence or random word list presentation. During this "retention" period after a sentence and before a behavioral task, both studies found increased frontal midline theta power for word lists compared to sentences.…”

Section: Working Memorymentioning

confidence: 99%

“…Two important considerations make it difficult to compare the results from Bonhage et al (2017) and Meltzer et al (2017). First, in Bonhage et al (2017), power in the delay period was expressed relative to power in a baseline interval at the end of the encoding period, while Meltzer et al (2017) used a pre-stimulus interval as their baseline. Moreover, while Bonhage et al (2017) employed sentences and word lists comprised of matching numbers of words, materials used in Meltzer et al (2017) differed in this respect: their sentences were on average 20 syllables long, while every word list trial consisted of 10 syllables.…”

Section: Working Memorymentioning

confidence: 99%

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The power of neural oscillations to inform sentence comprehension: A linguistic perspective

Prystauka

Lewis

2019

Language and Linguist. Compass

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The field of psycholinguistics is currently experiencing an explosion of interest in the analysis of neural oscillations—rhythmic brain activity synchronized at different temporal and spatial levels. Given that language comprehension relies on a myriad of processes, which are carried out in parallel in distributed brain networks, there is hope that this methodology might bring the field closer to understanding some of the more basic (spatially and temporally distributed, yet at the same time often overlapping) neural computations that support language function. In this review, we discuss existing proposals linking oscillatory dynamics in different frequency bands to basic neural computations and review relevant theories suggesting associations between band‐specific oscillations and higher‐level cognitive processes. More or less consistent patterns of oscillatory activity related to certain types of linguistic processing can already be derived from the evidence that has accumulated over the past few decades. The centerpiece of the current review is a synthesis of such patterns grouped by linguistic phenomenon. We restrict our review to evidence linking measures of oscillatory power to the comprehension of sentences, as well as linguistically (and/or pragmatically) more complex structures. For each grouping, we provide a brief summary and a table of associated oscillatory signatures that a psycholinguist might expect to find when employing a particular linguistic task. Summarizing across different paradigms, we conclude that a handful of basic neural oscillatory mechanisms are likely recruited in different ways and at different times for carrying out a variety of linguistic computations.

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Section: Working Memorymentioning

confidence: 95%

Section: Working Memorymentioning

confidence: 95%

Section: Working Memorymentioning

confidence: 99%

Section: Working Memorymentioning

confidence: 99%

See 2 more Smart Citations

The power of neural oscillations to inform sentence comprehension: A linguistic perspective

Prystauka

Lewis

2019

Language and Linguist. Compass

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“…Previous studies particularly linking neural oscillations to working-memory processes supporting sentence processing have resulted in a diverse picture: Bonhage et al (2017) reported delta-band power increase during sentence encoding; Bastiaansen et al (2010) reported theta-band power increases for the processing of grammatically correct sentences; Meyer et al (2013) found alpha-band power increases during processing of working-memory intensive sentences; Bonhage et al (2017) showed that beta-band oscillations are sensitive to sentence-encoding demands. In the broad alpha/beta band, desynchronization was observed during sentence maintenance (i.e., delay period) in working memory (Meltzer et al, 2017), while synchronization was observed for syntactic binding in two-word sentences (Segaert et al, 2018). At the same time, theta-, alpha-, and beta-band activity has also been associated with verbal working memory outside of the sentence-comprehension domain.…”

Section: Introductionmentioning

confidence: 96%

Alignment of alpha-band desynchronization with syntactic structure predicts successful sentence comprehension

et al. 2018

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Electroencephalographic characteristics of word finding during phonological and semantic verbal fluency tasks

Mousavi

Nazari

Babapour

et al. 2020

Neuropsychopharm Rep

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Aims Verbal Fluency is sensitive to brain damage and is employed to assess language abilities like the size of vocabulary and the semantic‐lexical networks’ integrity and executive functioning abilities particularly inhibition, working memory, and self‐monitoring. Various studies revealed oscillatory changes related to word retrieval during different tasks. However, there are not enough studies on electroencephalographic characteristics of word retrieval routes (phonological or semantic pathway) during free recall. The purpose of our study was to investigate electroencephalography power relationship with semantic and phonological word finding routes during verbal fluency. Methods In this within‐subject study, the electroencephalography of 20 healthy participants was recorded during written category and letter fluency tasks and compared with the rest state. Absolute power of the signals in delta (1‐3.5 Hz), theta (4‐7.5 Hz), alpha (8‐12 Hz), and beta (12.5‐30 Hz) was calculated in three lobes (frontal, parietal, and temporal). Results A repeated measures ANOVA showed significant interaction of condition × lobe × frequency × side (P < .001). Post hoc test for each lobe showed significant changes in the absolute power of delta, theta and beta for frontal, delta and theta for parietal, and theta and beta for temporal lobes (P‐values < .05). Conclusion Searching the words by phonological entries is associated with decreased beta and increased theta in left frontal lobe. These changes are not necessary for semantic word retrieval strategy.

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Electrophysiological signatures of phonological and semantic maintenance in sentence repetition

Cited by 26 publications

References 93 publications

The power of neural oscillations to inform sentence comprehension: A linguistic perspective

The power of neural oscillations to inform sentence comprehension: A linguistic perspective

Alignment of alpha-band desynchronization with syntactic structure predicts successful sentence comprehension

Electroencephalographic characteristics of word finding during phonological and semantic verbal fluency tasks

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