ArticleFrontiers in human neuroscience2014
From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG.
Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Optimal sensor set for MEG-based spontaneous and intended speech decoding toward practical communication.Frontiers in human neuroscience · 2026Article
- Neural Decoding of Spontaneous Overt and Intended Speech.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Feasibility of decoding covert speech in ECoG with a Transformer trained on overt speech.Scientific reports · 2024Article
- Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film.Scientific data · 2022Article
- A Study of Word Complexity Under Conditions of Non-experimental, Natural Overt Speech Production Using ECoG.Frontiers in human neuroscience · 2021Article
- Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production.Communications biology · 2019Article
- Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface.iScience · 2018Review
- Real-life speech production and perception have a shared premotor-cortical substrate.Scientific reports · 2018Article
- A Phase-Locked Loop Epilepsy Network Emulator.Neurocomputing · 2016Article
- Electrocorticographic Activation within Human Auditory Cortex during Dialog-Based Language and Cognitive Testing.Frontiers in human neuroscience · 2016Article
- Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations.Frontiers in human neuroscience · 2016Article
- Toward a new cognitive neuroscience: modeling natural brain dynamics.Frontiers in human neuroscience · 2014Article
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6 authors.
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Abstract
Exchange of thoughts by means of expressive speech is fundamental to human communication. However, the neuronal basis of real-life communication in general, and of verbal exchange of ideas in particular, has rarely been studied until now. Here, our aim was to establish an approach for exploring the neuronal processes related to cognitive "idea" units (IUs) in conditions of non-experimental speech production. We investigated whether such units corresponding to single, coherent chunks of speech with syntactically-defined borders, are useful to unravel the neuronal mechanisms underlying real-world human cognition. To this aim, we employed simultaneous electrocorticography (ECoG) and video recordings obtained in pre-neurosurgical diagnostics of epilepsy patients. We transcribed non-experimental, daily hospital conversations, identified IUs in transcriptions of the patients' speech, classified the obtained IUs according to a previously-proposed taxonomy focusing on memory content, and investigated the underlying neuronal activity. In each of our three subjects, we were able to collect a large number of IUs which could be assigned to different functional IU subclasses with a high inter-rater agreement. Robust IU-onset-related changes in spectral magnitude could be observed in high gamma frequencies (70-150 Hz) on the inferior lateral convexity and in the superior temporal cortex regardless of the IU content. A comparison of the topography of these responses with mouth motor and speech areas identified by electrocortical stimulation showed that IUs might be of use for extraoperative mapping of eloquent cortex (average sensitivity: 44.4%, average specificity: 91.1%). High gamma responses specific to memory-related IU subclasses were observed in the inferior parietal and prefrontal regions. IU-based analysis of ECoG recordings during non-experimental communication thus elicits topographically- and functionally-specific effects. We conclude that segmentation of spontaneous real-world speech in linguistically-motivated units is a promising strategy for elucidating the neuronal basis of mental processing during non-experimental communication.
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