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Decoding spoken words using local field potentials recorded from the cortical surface

Kellis, Spencer and Miller, Kai and Thomson, Kyle and Brown, Richard and House, Paul and Greger, Bradley (2010) Decoding spoken words using local field potentials recorded from the cortical surface. Journal of Neural Engineering, 7 (5). Art. No. 056007. ISSN 1741-2560. PMCID PMC2970568. https://resolver.caltech.edu/CaltechAUTHORS:20200825-075415406

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Abstract

Pathological conditions such as amyotrophic lateral sclerosis or damage to the brainstem can leave patients severely paralyzed but fully aware, in a condition known as 'locked-in syndrome'. Communication in this state is often reduced to selecting individual letters or words by arduous residual movements. More intuitive and rapid communication may be restored by directly interfacing with language areas of the cerebral cortex. We used a grid of closely spaced, nonpenetrating micro-electrodes to record local field potentials (LFPs) from the surface of face motor cortex and Wernicke's area. From these LFPs we were successful in classifying a small set of words on a trial-by-trial basis at levels well above chance. We found that the pattern of electrodes with the highest accuracy changed for each word, which supports the idea that closely spaced micro-electrodes are capable of capturing neural signals from independent neural processing assemblies. These results further support using cortical surface potentials (electrocorticography) in brain–computer interfaces. These results also show that LFPs recorded from the cortical surface (micro-electrocorticography) of language areas can be used to classify speech-related cortical rhythms and potentially restore communication to locked-in patients.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/1741-2560/7/5/056007DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2970568PubMed CentralArticle
ORCID:
AuthorORCID
Kellis, Spencer0000-0002-5158-1058
Greger, Bradley0000-0002-6702-7596
Additional Information:© 2010 IOP Publishing Ltd. Received 22 May 2010; Accepted 5 August 2010; Published 1 September 2010. This work was supported in part by a Utah Research Foundation grant, DARPA RP2009 funding, and NIH R01EY019363 (BG), and the Engineering Research Centers Program of the National Science Foundation under award number EEC-9986866 (RB). The authors thank Kristin Kraus for her editorial assistance, the EEG staff for assistance in conducting the study and the patient who agreed to participate in the study.
Funders:
Funding AgencyGrant Number
Utah Research FoundationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)RP2009
NIHR01EY019363
NSFEEC-9986866
Issue or Number:5
PubMed Central ID:PMC2970568
Record Number:CaltechAUTHORS:20200825-075415406
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200825-075415406
Official Citation:Spencer Kellis et al 2010 J. Neural Eng. 7 056007
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105094
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Aug 2020 15:43
Last Modified:25 Aug 2020 15:43

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