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A study of word complexity under conditions of non-experimental, natural overt speech production using ECoG
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In: Frontiers in human neuroscience. - 15 (2022) , 711886, ISSN: 1662-5161 (2022)
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Abstract:
The linguistic complexity of words has largely been studied on the behavioral level and in experimental settings. Only little is known about the neural processes underlying it in uninstructed, spontaneous conversations. We built up a multimodal neurolinguistic corpus composed of synchronized audio, video, and electrocorticographic (ECoG) recordings from the fronto-temporo-parietal cortex to address this phenomenon based on uninstructed, spontaneous speech production. We performed extensive linguistic annotations of the language material and calculated word complexity using several numeric parameters. We orthogonalized the parameters with the help of a linear regression model. Then, we correlated the spectral components of neural activity with the individual linguistic parameters and with the residuals of the linear regression model, and compared the results. The proportional relation between the number of consonants and vowels, which was the most informative parameter with regard to the neural representation of word complexity, showed effects in two areas: the frontal one was at the junction of the premotor cortex, the prefrontal cortex, and Brodmann area 44. The postcentral one lay directly above the lateral sulcus and comprised the ventral central sulcus, the parietal operculum and the adjacent inferior parietal cortex. Beyond the physiological findings summarized here, our methods may be useful for those interested in ways of studying neural effects related to natural language production and in surmounting the intrinsic problem of collinearity between multiple features of spontaneously spoken material.
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URL: https://www.freidok.uni-freiburg.de/dnb/download/225397 https://doi.org/10.3389/fnhum.2021.711886 https://freidok.uni-freiburg.de/data/225397 https://nbn-resolving.org/urn:nbn:de:bsz:25-freidok-2253975
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A transcallosal fibre system between homotopic inferior frontal regions supports complex linguistic processing
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Author Correction: Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
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Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
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Author Correction: Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
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Author correction: Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
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In: Communications biology. - 2, 1 (2019) , 128, ISSN: 2399-3642 (2019)
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Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
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In: issn: 2399-3642 (2019)
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A transcallosal fibre system between homotopic inferior frontal regions supports complex linguistic processing
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In: European journal of neuroscience. - 50, 10 (2019) , 3544-3556, ISSN: 1460-9568 (2019)
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Real-life speech production and perception have a shared premotor-cortical substrate
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Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication
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In: Brain-Computer Interfaces. - 4, 3 (2017) , 186-199, ISSN: 2326-263X (2017)
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From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG
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From speech to thought: the neuronal basis of cognitive units in non-experimental, real-life communication investigated using ECoG
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In: Frontiers in human neuroscience. 8 (2014), 383, DOI 10.3389/fnhum.2014.00383, issn: 1662-5161 (2014)
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Somatotopic mapping of natural upper- and lower-extremity movements and speech production with high gamma electrocorticography
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In: NeuroImage. - 81 (2013) , 164-177, ISSN: 1053-8119 (2013)
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"Doctor" or "darling"? Decoding the communication partner from ECoG of the anterior temporal lobe during non-experimental, real-life social interaction
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In: Frontiers in human neuroscience. 6 (2012), 251, DOI 10.3389/fnhum.2012.00251, issn: 1662-5161 (2012)
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Co-localizing linguistic and musical syntax with intracranial EEG
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In: NeuroImage. - 64 (2013) , 134-146, ISSN: 1053-8119 (2012)
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Overlap of Musical and Linguistic Syntax Processing: Intracranial ERP Evidence
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In: Annals of the New York Academy of Sciences. - 1169, 1 (2009) , 494-498, ISSN: 0077-8923 (2009)
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