P1 and P2 components of human visual evoked potentials are modulated by depth perception of 3-dimensional images

Omoto, Shu; Kuroiwa, Yoshihiro; Otsuka, Saika; Baba, Yoshifumi; Wang, Chuanwei; Li, Mei; Mizuki, Nobuhisa; Ueda, Naohisa; Koyano, Shigeru; Suzuki, Yume

doi:10.1016/j.clinph.2009.12.005

Cited by 43 publications

(34 citation statements)

References 37 publications

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“…standard and deviant stimuli. However, we found N1, P1 and P2 ERPrelated components typical for the visual stimuli (Omoto et al, 2010;Zalar et al, 2015), Fig. 8.…”

Section: Mismatch Detection In Neuronal Oscillationsmentioning

confidence: 68%

Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations

et al. 2016

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“…standard and deviant stimuli. However, we found N1, P1 and P2 ERPrelated components typical for the visual stimuli (Omoto et al, 2010;Zalar et al, 2015), Fig. 8.…”

Section: Mismatch Detection In Neuronal Oscillationsmentioning

confidence: 68%

Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations

et al. 2016

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“…The P200 is part of the long latency response, occurring after sensory responses and before high-level cognitive tasks such as the P300 [50]. It is involved in the cognitive process comparing sensory inputs with memory [51] and is modulated by arousal, attention [50], depth perception [52] or the intensity of the stimuli (see [24]).…”

Section: Discussionmentioning

confidence: 99%

A Comparison of Mobile VR Display Running on an Ordinary Smartphone With Standard PC Display for P300-BCI Stimulus Presentation

Cattan

Andreev

Mendoza³

et al. 2021

IEEE Trans. Games

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A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, for gaming. We focus on the so-called P300-BCI, a stable and accurate BCI paradigm relying on the recognition of a positive eventrelated potential (ERP) occurring in the EEG about 300 ms poststimulation. We implemented a basic version of such a BCI displayed on an ordinary and affordable smartphone-based headmounted VR device: that is, a mobile and passive VR system (with no electronic components beyond the smartphone). The mobile phone performed the stimuli presentation, EEG synchronization (tagging) and feedback display. We compared the ERPs and the accuracy of the BCI on the VR device with a traditional BCI running on a personal computer (PC). We also evaluated the impact of subjective factors on the accuracy. The study was within-subjects, with 21 participants and one session in each modality. No significant difference in BCI accuracy was found between the PC and VR systems, although the P200 ERP was significantly wider and larger in the VR system as compared to the PC system.

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“…[25][26][27][28] Some studies also have shown associations between the early P1 and non-stereoscopic depth. [29][30][31] Omoto et al used figures where smaller squares made up bigger squares to create 2D and 3D images with a concave or a convex effect, and observed an enhanced P1 peak over the temporalparietal-occipital regions for the latter. 30 However, in our current study, no significant differences in P1 were observed across stimuli suggesting that the underlying early pattern processing mechanisms were similar for each of the three stimuli.…”

Section: Evoked Potentials To Static Pattern Onset Stimulationmentioning

confidence: 99%

“…In contrast, Omoto et al, who used nonstereoscopic stimuli with concave and convex surfaces to induce the perception of depth, reported enhanced P1 and P2 amplitudes. 30 Our results also may be interpreted as showing HbO and THb: Significant main effects of stimulus -for HbO, F(2, 154) ¼ 7, P < 0.05 and for THb, F(2, 135) ¼ 6, P < 0.05; location -for HbO, F(1, 79) ¼ 7, P < 0.05 and for THb, F(2, 135) ¼ 10, P < 0.05; condition -for HbO, F(1, 79) ¼ 584, P < 0.05 and for THb, F(1,79) ¼ 408, P < 0.05; interactions between stimulus and location -for HbO, F(2, 150) ¼ 5, P < 0.05 and for THb, F(2, 155) ¼ 3, P < 0.05; location and condition -for HbO, F(1, 79) ¼ 11, P < 0.05 and for THb, F(1, 79) ¼ 5, P < 0.05; and stimulus location and condition -for HbO, F(2, 151) ¼ 7, P < 0.05, and for THb, F(2, 144) ¼ 5, P < 0.05.…”

Section: Evoked Potentials To Static Pattern Onset Stimulationmentioning

confidence: 99%

Neural and Vascular Responses to Fused Binocular Stimuli: A VEP and fNIRS Study

Wijeakumar

Shahani

McCulloch

et al. 2012

Invest. Ophthalmol. Vis. Sci.

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PURPOSE. The aim of our study was to investigate the correlation between neural and hemodynamic responses to stereoscopic stimuli recorded over visual cortex. METHODS.Test stimuli consisted of a static checkerboard (checks) and dichoptic static random dot (RD) presentations with no binocular disparity (ZD) or with horizontal disparity (HD). Hemodynamic responses were recorded from right and left occipital sites using functional near-infrared spectroscopy (fNIRS). Visual evoked potentials (VEPs) were recorded over three occipital sites to the onset of the same stimuli.RESULTS. Early components, N1 and P2, were sensitive to HD, suggesting that an enhanced N1-reduced P2 complex could be an indicator of binocular disparity and stereopsis. VEPs to checks and ZD stimulation were similar. fNIRS recordings showed changes in hemodynamic activation from baseline levels in response to all stimuli. In general, HD elicited a larger vascular response than ZD. Oxyhemoglobin concentration (HbO) was correlated with the VEP amplitude during the checks and HD presentations. CONCLUSIONS.We report an association between neural and hemodynamic activation in response to checks and HD. In addition, the results suggested that N1-P2 complex in the VEP could be a neural marker for stereopsis and fNIRS demonstrated differences in HbO. Specifically, checks and HD elicited larger hemodynamic responses than random dot patterns without binocular disparity. (Invest Ophthalmol Vis Sci. 2012;53:5881-5889) DOI:10.1167/iovs.12-10399 D epth perception is based on the amalgamation of monocular cues, such as lighting, accommodation, shading, blur, perspective, and motion parallax, and binocular cues, such as convergence and stereopsis. Of these, stereopsis is the principal measure of binocular vision. Multiple studies have used electrophysiologic and psychophysical methods to investigate stereoscopic processing.1-4 Aspects, such as visual persistence, hemispheric dominancy, position within the visual field, temporal frequency, and depth reversal rates, affected depth perception. 5-9 Visual evoked potential (VEP) studies have implicated the N1 (or an early negative wave) and P3 components to be elicited in the visual cortex by stereo and depth-inducing stimuli. [10][11][12][13][14][15] In accordance with these results, functional magnetic resonance imaging (fMRI) has shown definitively that areas involved in stereoscopic processing extend from the dorsal occipital [16][17][18] through to the posterior parietal areas. 16,[19][20][21] The relatively new technique of functional near-infrared spectroscopy (fNIRS) can measure changes in blood flow in response to neural activation as absolute or relative concentrations of oxyhemoglobin (HbO) and deoxyhemoglobin (Hb) levels. fNIRS relies on the principle that amplitude modulated light of two different wavelengths from the near-infrared and visible spectrum will penetrate the scalp and skull through to brain tissue. fNIRS also can be used easily in conjunction with VEPs. In previous studies, we have shown, usi...

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P1 and P2 components of human visual evoked potentials are modulated by depth perception of 3-dimensional images

Cited by 43 publications

References 37 publications

Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations

Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations

A Comparison of Mobile VR Display Running on an Ordinary Smartphone With Standard PC Display for P300-BCI Stimulus Presentation

Neural and Vascular Responses to Fused Binocular Stimuli: A VEP and fNIRS Study

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