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Online internal speech decoding from single neurons in a human participant

Wandelt, Sarah K. and Bjånes, David A. and Pejsa, Kelsie and Lee, Brian and Liu, Charles and Andersen, Richard A. (2022) Online internal speech decoding from single neurons in a human participant. . (Unpublished)

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Speech brain-machine interfaces (BMI’s) translate brain signals into words or audio outputs, enabling communication for people having lost their speech abilities due to diseases or injury. While important advances in vocalized, attempted, and mimed speech decoding have been achieved, results for internal speech decoding are sparse, and have yet to achieve high functionality. Notably, it is still unclear from which brain areas internal speech can be decoded. In this work, a tetraplegic participant with implanted microelectrode arrays located in the supramarginal gyrus (SMG) and primary somatosensory cortex (S1) performed internal and vocalized speech of six words and two pseudowords. We found robust internal speech decoding from SMG single neuron activity, achieving up to 91% classification accuracy during an online task (chance level 12.5%). Evidence of shared neural representations between internal speech, word reading, and vocalized speech processes were found. SMG represented words in different languages (English/ Spanish) as well as pseudowords, providing evidence for phonetic encoding. Furthermore, our decoder achieved high classification with multiple internal speech strategies (auditory imagination/ visual imagination). Activity in S1 was modulated by vocalized but not internal speech, suggesting no articulator movements of the vocal tract occurred during internal speech production. This works represents the first proof-of-concept for a high-performance internal speech BMI.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper InCaltech News
Wandelt, Sarah K.0000-0001-9551-8491
Bjånes, David A.0000-0002-1208-5916
Lee, Brian0000-0002-3592-8146
Liu, Charles0000-0001-6423-8577
Andersen, Richard A.0000-0002-7947-0472
Additional Information:We wish to thank L. Bashford, and I. Rosenthal for helpful discussions and data collection. We wish to thank our study participant FG for his dedication to the study which made this work possible. This research was supported by the NIH National Institute of Neurological Disorders and Stroke Grant U01: U01NS098975 and U01: U01NS123127 (S.K.W, D.B., K.P., C.L. and R.A.A.), and by the T&C Chen Brain-machine Interface center (S.K.W., D.B., R.A.A.).
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funding AgencyGrant Number
Tianqiao and Chrissy Chen Institute for NeuroscienceUNSPECIFIED
Record Number:CaltechAUTHORS:20230227-322609000.1
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:119512
Deposited By: George Porter
Deposited On:28 Feb 2023 03:30
Last Modified:28 Feb 2023 03:30

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