An independent brain-computer interface using covert non-spatial visual selective attention.

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An independent brain-computer interface using covert non-spatial visual selective attention. / Zhang, Dan; Maye, Alexander; Gao, Xiaorong; Hong, Bo; Engel, Andreas K.; Gao, Shangkai.

In: J NEURAL ENG, Vol. 7, No. 1, 1, 2010, p. 16010.

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@article{f7c56ce7488f492288281af1d954bbf7,
title = "An independent brain-computer interface using covert non-spatial visual selective attention.",
abstract = "In this paper, a novel independent brain-computer interface (BCI) system based on covert non-spatial visual selective attention of two superimposed illusory surfaces is described. Perception of two superimposed surfaces was induced by two sets of dots with different colors rotating in opposite directions. The surfaces flickered at different frequencies and elicited distinguishable steady-state visual evoked potentials (SSVEPs) over parietal and occipital areas of the brain. By selectively attending to one of the two surfaces, the SSVEP amplitude at the corresponding frequency was enhanced. An online BCI system utilizing the attentional modulation of SSVEP was implemented and a 3-day online training program with healthy subjects was carried out. The study was conducted with Chinese subjects at Tsinghua University, and German subjects at University Medical Center Hamburg-Eppendorf (UKE) using identical stimulation software and equivalent technical setup. A general improvement of control accuracy with training was observed in 8 out of 18 subjects. An averaged online classification accuracy of 72.6 +/- 16.1% was achieved on the last training day. The system renders SSVEP-based BCI paradigms possible for paralyzed patients with substantial head or ocular motor impairments by employing covert attention shifts instead of changing gaze direction.",
keywords = "Adult, Germany, Humans, Male, Female, Young Adult, Cohort Studies, Attention physiology, Brain physiology, China, Electroencephalography methods, Evoked Potentials, Visual, Learning physiology, Motion Perception physiology, Photic Stimulation, Practice (Psychology), Signal Processing, Computer-Assisted, Time Factors, User-Computer Interface, Visual Perception physiology, Adult, Germany, Humans, Male, Female, Young Adult, Cohort Studies, Attention physiology, Brain physiology, China, Electroencephalography methods, Evoked Potentials, Visual, Learning physiology, Motion Perception physiology, Photic Stimulation, Practice (Psychology), Signal Processing, Computer-Assisted, Time Factors, User-Computer Interface, Visual Perception physiology",
author = "Dan Zhang and Alexander Maye and Xiaorong Gao and Bo Hong and Engel, {Andreas K.} and Shangkai Gao",
year = "2010",
language = "Deutsch",
volume = "7",
pages = "16010",
journal = "J NEURAL ENG",
issn = "1741-2560",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - An independent brain-computer interface using covert non-spatial visual selective attention.

AU - Zhang, Dan

AU - Maye, Alexander

AU - Gao, Xiaorong

AU - Hong, Bo

AU - Engel, Andreas K.

AU - Gao, Shangkai

PY - 2010

Y1 - 2010

N2 - In this paper, a novel independent brain-computer interface (BCI) system based on covert non-spatial visual selective attention of two superimposed illusory surfaces is described. Perception of two superimposed surfaces was induced by two sets of dots with different colors rotating in opposite directions. The surfaces flickered at different frequencies and elicited distinguishable steady-state visual evoked potentials (SSVEPs) over parietal and occipital areas of the brain. By selectively attending to one of the two surfaces, the SSVEP amplitude at the corresponding frequency was enhanced. An online BCI system utilizing the attentional modulation of SSVEP was implemented and a 3-day online training program with healthy subjects was carried out. The study was conducted with Chinese subjects at Tsinghua University, and German subjects at University Medical Center Hamburg-Eppendorf (UKE) using identical stimulation software and equivalent technical setup. A general improvement of control accuracy with training was observed in 8 out of 18 subjects. An averaged online classification accuracy of 72.6 +/- 16.1% was achieved on the last training day. The system renders SSVEP-based BCI paradigms possible for paralyzed patients with substantial head or ocular motor impairments by employing covert attention shifts instead of changing gaze direction.

AB - In this paper, a novel independent brain-computer interface (BCI) system based on covert non-spatial visual selective attention of two superimposed illusory surfaces is described. Perception of two superimposed surfaces was induced by two sets of dots with different colors rotating in opposite directions. The surfaces flickered at different frequencies and elicited distinguishable steady-state visual evoked potentials (SSVEPs) over parietal and occipital areas of the brain. By selectively attending to one of the two surfaces, the SSVEP amplitude at the corresponding frequency was enhanced. An online BCI system utilizing the attentional modulation of SSVEP was implemented and a 3-day online training program with healthy subjects was carried out. The study was conducted with Chinese subjects at Tsinghua University, and German subjects at University Medical Center Hamburg-Eppendorf (UKE) using identical stimulation software and equivalent technical setup. A general improvement of control accuracy with training was observed in 8 out of 18 subjects. An averaged online classification accuracy of 72.6 +/- 16.1% was achieved on the last training day. The system renders SSVEP-based BCI paradigms possible for paralyzed patients with substantial head or ocular motor impairments by employing covert attention shifts instead of changing gaze direction.

KW - Adult

KW - Germany

KW - Humans

KW - Male

KW - Female

KW - Young Adult

KW - Cohort Studies

KW - Attention physiology

KW - Brain physiology

KW - China

KW - Electroencephalography methods

KW - Evoked Potentials, Visual

KW - Learning physiology

KW - Motion Perception physiology

KW - Photic Stimulation

KW - Practice (Psychology)

KW - Signal Processing, Computer-Assisted

KW - Time Factors

KW - User-Computer Interface

KW - Visual Perception physiology

KW - Adult

KW - Germany

KW - Humans

KW - Male

KW - Female

KW - Young Adult

KW - Cohort Studies

KW - Attention physiology

KW - Brain physiology

KW - China

KW - Electroencephalography methods

KW - Evoked Potentials, Visual

KW - Learning physiology

KW - Motion Perception physiology

KW - Photic Stimulation

KW - Practice (Psychology)

KW - Signal Processing, Computer-Assisted

KW - Time Factors

KW - User-Computer Interface

KW - Visual Perception physiology

M3 - SCORING: Zeitschriftenaufsatz

VL - 7

SP - 16010

JO - J NEURAL ENG

JF - J NEURAL ENG

SN - 1741-2560

IS - 1

M1 - 1

ER -