» Articles » PMID: 22724028

Steady-state Motion Visual Evoked Potentials Produced by Oscillating Newton's Rings: Implications for Brain-computer Interfaces

Overview
Journal PLoS One
Date 2012 Jun 23
PMID 22724028
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

In this study, we utilize a special visual stimulation protocol, called motion reversal, to present a novel steady-state motion visual evoked potential (SSMVEP)-based BCI paradigm that relied on human perception of motions oscillated in two opposite directions. Four Newton's rings with the oscillating expansion and contraction motions served as visual stimulators to elicit subjects' SSMVEPs. And four motion reversal frequencies of 8.1, 9.8, 12.25 and 14 Hz were tested. According to Canonical Correlation Analysis (CCA), the offline accuracy and ITR (mean ± standard deviation) over six healthy subjects were 86.56 ± 9.63% and 15.93 ± 3.83 bits/min, respectively. All subjects except one exceeded the level of 80% mean accuracy. Circular Hotelling's T-Squared test (T2 circ) also demonstrated that most subjects exhibited significantly strong stimulus-locked SSMVEP responses. The results of declining exponential fittings exhibited low-adaptation characteristics over the 100-s stimulation sequences in most experimental conditions. Taken together, these results suggest that the proposed paradigm can provide comparable performance with low-adaptation characteristic and less visual discomfort for BCI applications.

Citing Articles

Paradigms and methods of noninvasive brain-computer interfaces in motor or communication assistance and rehabilitation: a systematic review.

Meng J, Wei Y, Mai X, Li S, Wang X, Luo R Med Biol Eng Comput. 2025; .

PMID: 40059266 DOI: 10.1007/s11517-025-03340-y.


Spontaneous Formation of Micelles and Vesicles in Langmuir Monolayers of Heneicosanoic Acid.

Escamilla-Ruiz M, Zarzoza-Medina M, Rios-Ramirez M, Hernandez-Adame P, Ruiz-Garcia J ACS Omega. 2025; 10(5):4224-4232.

PMID: 39959046 PMC: 11822483. DOI: 10.1021/acsomega.4c03100.


A novel brain-controlled prosthetic hand method integrating AR-SSVEP augmentation, asynchronous control, and machine vision assistance.

Zhang X, Zhang T, Jiang Y, Zhang W, Lu Z, Wang Y Heliyon. 2024; 10(5):e26521.

PMID: 38463871 PMC: 10920167. DOI: 10.1016/j.heliyon.2024.e26521.


Novel hybrid visual stimuli incorporating periodic motions into conventional flickering or pattern-reversal visual stimuli for steady-state visual evoked potential-based brain-computer interfaces.

Kwon J, Hwang J, Nam H, Im C Front Neuroinform. 2022; 16:997068.

PMID: 36213545 PMC: 9534124. DOI: 10.3389/fninf.2022.997068.


Age-related differences in the transient and steady state responses to different visual stimuli.

Zhang X, Jiang Y, Hou W, Jiang N Front Aging Neurosci. 2022; 14:1004188.

PMID: 36158550 PMC: 9493465. DOI: 10.3389/fnagi.2022.1004188.


References
1.
Middendorf M, McMillan G, Calhoun G, Jones K . Brain-computer interfaces based on the steady-state visual-evoked response. IEEE Trans Rehabil Eng. 2000; 8(2):211-4. DOI: 10.1109/86.847819. View

2.
Victor J, Mast J . A new statistic for steady-state evoked potentials. Electroencephalogr Clin Neurophysiol. 1991; 78(5):378-88. DOI: 10.1016/0013-4694(91)90099-p. View

3.
Chakor H, Bertone A, McKerral M, Faubert J, Lachapelle P . Visual evoked potentials and reaction time measurements to motion-reversal luminance- and texture-defined stimuli. Doc Ophthalmol. 2005; 110(2-3):163-72. DOI: 10.1007/s10633-005-3694-8. View

4.
Guo F, Hong B, Gao X, Gao S . A brain-computer interface using motion-onset visual evoked potential. J Neural Eng. 2008; 5(4):477-85. DOI: 10.1088/1741-2560/5/4/011. View

5.
Heinrich S, Bach M . Adaptation characteristics of steady-state motion visual evoked potentials. Clin Neurophysiol. 2003; 114(7):1359-66. DOI: 10.1016/s1388-2457(03)00088-9. View