Delta, theta, beta, and gamma brain oscillations index levels of auditory sentence processing

Mai, Guangting; Minett, James W.; Wang, William Yang

doi:10.1016/j.neuroimage.2016.02.064

Cited by 95 publications

(103 citation statements)

References 77 publications

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“…It was also claimed that labeling (maintaining an item in memory before coupling it with another, yielding an independent syntactic identity) amounts to the slowing down of γ to β before β-α coupling, likely involving a basal ganglia-thalamic-cortical loop. These suggestions are in line with Mai et al's (2016) finding of γ-related modulations during semantic and syntactic processing (our claims should also not be conflated with the well-known phonological oscillatory investigations of Giraud and Poeppel (2012). We will adopt these assumptions here when interpreting the rhythmic literature on schizophrenia.…”

Section: From Brain Rhythmicity To Language Deficits In Schizophreniasupporting

confidence: 93%

Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach

Murphy

Benítez‐Burraco

2016

Front. Hum. Neurosci.

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Schizophrenia is characterized by marked language deficits, but it is not clear how these deficits arise from the alteration of genes related to the disease. The goal of this paper is to aid the bridging of the gap between genes and schizophrenia and, ultimately, give support to the view that the abnormal presentation of language in this condition is heavily rooted in the evolutionary processes that brought about modern language. To that end we will focus on how the schizophrenic brain processes language and, particularly, on its distinctive oscillatory profile during language processing. Additionally, we will show that candidate genes for schizophrenia are overrepresented among the set of genes that are believed to be important for the evolution of the human faculty of language. These genes crucially include (and are related to) genes involved in brain rhythmicity. We will claim that this translational effort and the links we uncover may help develop an understanding of language evolution, along with the etiology of schizophrenia, its clinical/linguistic profile, and its high prevalence among modern populations.

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Section: From Brain Rhythmicity To Language Deficits In Schizophreniasupporting

confidence: 93%

Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach

Murphy

Benítez‐Burraco

2016

Front. Hum. Neurosci.

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“…3). These fluctuations parallel those seen in Wernicke’s area in a study measuring speech-related responses to single words (Canolty et al, 2007), and different frequencies may reflect distinct levels of speech processing (Mai et al, 2016), though we cannot rule out effects related to changes in electrode impedances (Fig. 2).…”

Section: Discussionmentioning

confidence: 62%

Chronic ambulatory electrocorticography from human speech cortex

et al. 2017

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Direct intracranial recording of human brain activity is an important approach for deciphering neural mechanisms of cognition. Such recordings, usually made in patients with epilepsy undergoing inpatient monitoring for seizure localization, are limited in duration and depend on patients’ tolerance for the challenges associated with recovering from brain surgery. Thus, typical intracranial recordings, similar to most non-invasive approaches in humans, provide snapshots of brain activity in acute, highly constrained settings, limiting opportunities to understand long timescale and natural, real-world phenomena. A new device for treating some forms of drug-resistant epilepsy, the NeuroPace RNS® System, includes a cranially-implanted neurostimulator and intracranial electrodes that continuously monitor brain activity and respond to incipient seizures with electrical counterstimulation. The RNS System can record epileptic brain activity over years, but whether it can record meaningful, behavior-related physiological responses has not been demonstrated. Here, in a human subject with electrodes implanted over high-level speech-auditory cortex (Wernicke’s area; posterior superior temporal gyrus), we report that cortical evoked responses to spoken sentences are robust, selective to phonetic features, and stable over nearly 1.5 years. In a second subject with RNS System electrodes implanted over frontal cortex (Broca’s area, posterior inferior frontal gyrus), we found that word production during a naming task reliably evokes cortical responses preceding speech onset. The spatiotemporal resolution, high signal-to-noise, and wireless nature of this system’s intracranial recordings make it a powerful new approach to investigate the neural correlates of human cognition over long timescales in natural ambulatory settings.

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“…They are also compatible with the predictive coding framework proposed by . Delta and theta findings reported in Peña and Melloni (2012) and Mai et al (2016) suggest that low-frequency oscillations are sensitive to prosodic and syllabic information, regardless of whether successful semantic and/or syntactic unification can be performed. Their effects appear to be different in nature than the theta increases reported in Bastiaansen et al (2010) and Vignali et al (2016), which only occurred in syntactically structured sentences and not word lists, and were interpreted as reflecting building of a memory trace of the unfolding linguistic input.…”

Section: Syntactic and Semantic Structure Buildingmentioning

confidence: 87%

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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Delta, theta, beta, and gamma brain oscillations index levels of auditory sentence processing

Cited by 95 publications

References 77 publications

Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach

Bridging the Gap between Genes and Language Deficits in Schizophrenia: An Oscillopathic Approach

Chronic ambulatory electrocorticography from human speech cortex

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

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