Literature DB >> 21511006

Event-related potentials in a moving matrix modification of the P300 brain-computer interface paradigm.

Sergei L Shishkin1, Ilya P Ganin, Alexander Ya Kaplan.   

Abstract

In the standard design of the brain-computer interfaces (BCI) based on the P300 component of the event-related potentials (ERP), target and non-target stimuli are presented at fixed positions in a motionless matrix. Can we let this matrix be moving (e.g., if attached to a robot) without loosing the efficiency of BCI? We assessed changes of the positive peak at Pz in the time interval 300-500 ms after the stimulus onset (P300) and the negative peak at the occipital electrodes in the range 140-240 ms (N1), both important for the operation of the P300 BCI, during fixating a target cell of a moving matrix in healthy participants (n=12). N1 amplitude in the difference (target-non-target) waveforms decreased with the velocity, although remained high (M=-4.3, SD=2.1) even at highest velocity (20°/s). In general, the amplitudes and latencies of these ERP components were remarkably stable in studied types of matrix movement and all velocities of horizontal movement (5, 10 and 20°/s) comparing to matrix in fixed position. These data suggest that, for the users controlling their gaze, the P300 BCI design can be extended to modifications requiring stimuli matrix motion.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21511006     DOI: 10.1016/j.neulet.2011.03.089

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  5 in total

1.  Performance improvement of ERP-based brain-computer interface via varied geometric patterns.

Authors:  Zheng Ma; Tianshuang Qiu
Journal:  Med Biol Eng Comput       Date:  2017-06-28       Impact factor: 2.602

2.  The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

Authors:  Jing Jin; Brendan Z Allison; Tobias Kaufmann; Andrea Kübler; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

3.  Quality parameters for a multimodal EEG/EMG/kinematic brain-computer interface (BCI) aiming to suppress neurological tremor in upper limbs.

Authors:  Giuliana Grimaldi; Mario Manto; Yassin Jdaoudi
Journal:  F1000Res       Date:  2013-12-20

4.  A P300-based brain-computer interface with stimuli on moving objects: four-session single-trial and triple-trial tests with a game-like task design.

Authors:  Ilya P Ganin; Sergei L Shishkin; Alexander Y Kaplan
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

5.  The Effect of Apolipoprotein E ε4 (APOE ε4) on Visuospatial Working Memory in Healthy Elderly and Amnestic Mild Cognitive Impairment Patients: An Event-Related Potentials Study.

Authors:  Li-Hua Gu; Jiu Chen; Li-Juan Gao; Hao Shu; Zan Wang; Duan Liu; Yan-Na Yan; Shi-Jiang Li; Zhi-Jun Zhang
Journal:  Front Aging Neurosci       Date:  2017-05-17       Impact factor: 5.750

  5 in total

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