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1
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
In: ISSN: 2041-1723 ; Nature communications, Vol. 13, No 1 (2022) P. 48 (2022)
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2
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
In: Nat Commun (2022)
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3
Neural correlates of sign language production revealed by electrocorticography
In: Neurology (2020)
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4
Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries
Abstract: The principles underlying functional asymmetries in cortex remain debated. For example, it is accepted that speech is processed bilaterally in auditory cortex, but a left hemisphere dominance emerges when the input is interpreted linguistically. The mechanisms, however, are contested: what sound features or processing principles underlie laterality? Recent findings across species (humans, canines, bats) provide converging evidence that spectrotemporal sound features drive asymmetrical responses. Typically, accounts invoke models wherein the hemispheres differ in time-frequency resolution or integration window size. We develop a framework that builds on and unifies prevailing models, using spectrotemporal modulation space. Using signal processing techniques motivated by neural responses, we test this approach employing behavioral and neurophysiological measures. We show how psychophysical judgments align with spectrotemporal modulations and then characterize the neural sensitivities to temporal and spectral modulations. We demonstrate differential contributions from both hemispheres, with a left lateralization for temporal modulations and a weaker right lateralization for spectral modulations. We argue that representations in the modulation domain provide a more mechanistic basis to account for lateralization in auditory cortex.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pubmed/30971792
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650286/
https://doi.org/10.1038/s41562-019-0548-z
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