Literature DB >> 22044847

Signals from intraventricular depth electrodes can control a brain-computer interface.

Jerry J Shih1, Dean J Krusienski.   

Abstract

A brain-computer interface (BCI) is a device that enables severely disabled people to communicate and interact with their environments using their brain waves. Most research investigating BCI in humans have used scalp-recorded electroencephalography (EEG). We have recently demonstrated that signals from intracranial electrocorticography (ECoG) and stereotactic depth electrodes (SDE) in the hippocampus can be used to control a BCI P300 Speller paradigm. We report a case in which stereotactic depth electrodes positioned in the ventricle were able to obtain viable signals for a BCI. Our results demonstrate that event-related potentials from intraventricular electrodes can be used to reliably control the P300 Speller BCI paradigm.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22044847      PMCID: PMC3246120          DOI: 10.1016/j.jneumeth.2011.10.012

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  31 in total

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2.  Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters.

Authors:  Tim Blakely; Kai J Miller; Stavros P Zanos; Rajesh P N Rao; Jeffrey G Ojemann
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

3.  Morbidity associated with the use of intracranial electrodes for epilepsy surgery.

Authors:  Jorge G Burneo; David A Steven; Richard S McLachlan; Andrew G Parrent
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4.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

Authors:  L A Farwell; E Donchin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-12

5.  A high-performance brain-computer interface.

Authors:  Gopal Santhanam; Stephen I Ryu; Byron M Yu; Afsheen Afshar; Krishna V Shenoy
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

6.  Intracranial ERPs in humans during a lateralized visual oddball task: II. Temporal, parietal, and frontal recordings.

Authors:  J M Clarke; E Halgren; P Chauvel
Journal:  Clin Neurophysiol       Date:  1999-07       Impact factor: 3.708

7.  Control of a brain-computer interface using stereotactic depth electrodes in and adjacent to the hippocampus.

Authors:  D J Krusienski; J J Shih
Journal:  J Neural Eng       Date:  2011-03-24       Impact factor: 5.379

8.  Using the electrocorticographic speech network to control a brain-computer interface in humans.

Authors:  Eric C Leuthardt; Charles Gaona; Mohit Sharma; Nicholas Szrama; Jarod Roland; Zac Freudenberg; Jamie Solis; Jonathan Breshears; Gerwin Schalk
Journal:  J Neural Eng       Date:  2011-04-07       Impact factor: 5.379

9.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

10.  Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants. Report of four cases.

Authors:  Elizabeth A Felton; J Adam Wilson; Justin C Williams; P Charles Garell
Journal:  J Neurosurg       Date:  2007-03       Impact factor: 5.115

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  3 in total

Review 1.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

2.  Empirical models of scalp-EEG responses using non-concurrent intracranial responses.

Authors:  Komalpreet Kaur; Jerry J Shih; Dean J Krusienski
Journal:  J Neural Eng       Date:  2014-05-19       Impact factor: 5.379

3.  Spontaneous State Detection Using Time-Frequency and Time-Domain Features Extracted From Stereo-Electroencephalography Traces.

Authors:  Huanpeng Ye; Zhen Fan; Guangye Li; Zehan Wu; Jie Hu; Xinjun Sheng; Liang Chen; Xiangyang Zhu
Journal:  Front Neurosci       Date:  2022-03-17       Impact factor: 4.677

  3 in total

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