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1
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
In: Nat Commun (2022)
Abstract: Reconstructing intended speech from neural activity using brain-computer interfaces holds great promises for people with severe speech production deficits. While decoding overt speech has progressed, decoding imagined speech has met limited success, mainly because the associated neural signals are weak and variable compared to overt speech, hence difficult to decode by learning algorithms. We obtained three electrocorticography datasets from 13 patients, with electrodes implanted for epilepsy evaluation, who performed overt and imagined speech production tasks. Based on recent theories of speech neural processing, we extracted consistent and specific neural features usable for future brain computer interfaces, and assessed their performance to discriminate speech items in articulatory, phonetic, and vocalic representation spaces. While high-frequency activity provided the best signal for overt speech, both low- and higher-frequency power and local cross-frequency contributed to imagined speech decoding, in particular in phonetic and vocalic, i.e. perceptual, spaces. These findings show that low-frequency power and cross-frequency dynamics contain key information for imagined speech decoding.
Keyword: Article
URL: https://doi.org/10.1038/s41467-021-27725-3
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748882/
http://www.ncbi.nlm.nih.gov/pubmed/35013268
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2
Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries
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3
Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning
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4
Rule-based and Word-level Statistics-based Processing of Language: Insights from Neuroscience
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5
Multiple levels of linguistic and paralinguistic features contribute to voice recognition
Mary Zarate, Jean; Tian, Xing; Woods, Kevin J. P.. - : Nature Publishing Group, 2015
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6
The effects of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene
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7
Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG
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8
The Neural Bases of Taxonomic and Thematic Conceptual Relations: An MEG Study
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9
Cortical Tracking of Hierarchical Linguistic Structures in Connected Speech
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10
The role of temporal structure in the investigation of sensory memory, auditory scene analysis, and speech perception: A healthy-aging perspective
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11
The role of visual representations during the lexical access of spoken words
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12
The neuroanatomic and neurophysiological infrastructure for speech and language
Poeppel, David. - 2014
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13
Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a ‘Cocktail Party’
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14
Word–specific repetition effects revealed by MEG and the implications for lexical access
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15
Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing
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16
Towards a new neurobiology of language
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17
The maps problem and the mapping problem: Two challenges for a cognitive neuroscience of speech and language
Poeppel, David. - 2012
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18
Evidence for Early Morphological Decomposition: Combining Masked Priming with Magnetoencephalography
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19
Genetics and language: a neurobiological perspective on the missing link (-ing hypotheses)
Poeppel, David. - : Springer US, 2011
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20
What Does the Right Hemisphere Know about Phoneme Categories?
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