Literature DB >> 19163831

Localization and classification of phonemes using high spatial resolution electrocorticography (ECoG) grids.

Timothy Blakely1, Kai J Miller, Rajesh P N Rao, Mark D Holmes, Jeffrey G Ojemann.   

Abstract

We present results of cortical activity during phoneme pronunciation, recorded using miniaturized electrocorticography grids with high spatial resolution. A patient implanted with the miniature grid was instructed to audibly pronounce one of four phonemes. For each phoneme, we observed distinct spatial correlation patterns at the 3mm electrode spacing. We applied a support vector machine classification scheme and, for the first time, were able to distinguish discrete phonemes with high accuracy. In addition, we found that sub-regions of our miniature array were specific for distinct pairs of phonemes, showing that cortical phoneme processing occurs at a higher resolution than previously though.

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Mesh:

Year:  2008        PMID: 19163831     DOI: 10.1109/IEMBS.2008.4650328

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  31 in total

1.  Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans.

Authors:  Xiaomei Pei; Dennis L Barbour; Eric C Leuthardt; Gerwin Schalk
Journal:  J Neural Eng       Date:  2011-07-13       Impact factor: 5.379

2.  Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy.

Authors:  Yogatheesan Varatharajah; Brent Berry; Jan Cimbalnik; Vaclav Kremen; Jamie Van Gompel; Matt Stead; Benjamin Brinkmann; Ravishankar Iyer; Gregory Worrell
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

3.  Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces.

Authors:  Eric C Leuthardt; Zac Freudenberg; David Bundy; Jarod Roland
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

Review 4.  Evolution of brain-computer interfaces: going beyond classic motor physiology.

Authors:  Eric C Leuthardt; Gerwin Schalk; Jarod Roland; Adam Rouse; Daniel W Moran
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

Review 5.  Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.

Authors:  Jonathan S Brumberg; Kevin M Pitt; Alana Mantie-Kozlowski; Jeremy D Burnison
Journal:  Am J Speech Lang Pathol       Date:  2018-02-06       Impact factor: 2.408

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

Authors:  Spencer Kellis; Kai Miller; Kyle Thomson; Richard Brown; Paul House; Bradley Greger
Journal:  J Neural Eng       Date:  2010-09-01       Impact factor: 5.379

7.  Optimal spacing of surface electrode arrays for brain-machine interface applications.

Authors:  Marc W Slutzky; Luke R Jordan; Todd Krieg; Ming Chen; David J Mogul; Lee E Miller
Journal:  J Neural Eng       Date:  2010-03-02       Impact factor: 5.379

8.  Short-time windowed covariance: a metric for identifying non-stationary, event-related covariant cortical sites.

Authors:  Timothy Blakely; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  J Neurosci Methods       Date:  2013-11-06       Impact factor: 2.390

9.  Repeated stimuli elicit diminished high-gamma electrocorticographic responses.

Authors:  Anna Rodriguez Merzagora; Thomas J Coffey; Michael R Sperling; Ashwini Sharan; Brian Litt; Gordon Baltuch; Joshua Jacobs
Journal:  Neuroimage       Date:  2013-07-16       Impact factor: 6.556

Review 10.  The use of intracranial recordings to decode human language: Challenges and opportunities.

Authors:  Stephanie Martin; José Del R Millán; Robert T Knight; Brian N Pasley
Journal:  Brain Lang       Date:  2016-07-01       Impact factor: 2.381

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