DECODING OF STEADY-STATE VISUAL EVOKED POTENTIALS BY FRACTAL ANALYSIS OF THE ELECTROENCEPHALOGRAPHIC (EEG) SIGNAL

Analysis of the brain response to different types of external stimuli has always been one of the major research areas in behavioral neuroscience. The electroencephalography (EEG) technique combined with different signal analysis approaches has been especially successful in revealing the detailed dynamic properties of the neural response to exogenous stimulation. In this analysis, we evaluated the nonlinear structure of the EEG signal using fractal theory in rest and visual stimulation (checkerboard reversal at 8, 14 and 28[Formula: see text]Hz). Our analysis showed a significant influence of stimulation on the fractal structure of EEG signal. On comparison between different conditions, 14-Hz steady-state visual evoked potentials (SSVEPs), previously shown to trigger an optimal brain response, exhibited the greatest influence on the complexity of the EEG signal. On the other hand, we observed the lowest complexity of EEG signal in the post-stimulation rest period. Statistical analysis confirmed significant differences in the fractal structure of the EEG signal between rest and different stimulation conditions. These findings demonstrate for the first time a direct relationship between the efficiency of brain processing and the complexity of the measured EEG signal, which could be employed for objective assessment and classification in various experimental paradigms.

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Steady-State Visual-Evoked Potentials in Headache: Diagnostic Value in Migraine and Tension-Type Headache Patients

Cephalalgia ◽

10.1111/j.1468-2982.1999.1901023.x ◽

1999 ◽

Vol 19 (1) ◽

pp. 23-26 ◽

Cited By ~ 22

Author(s):

M de Tommaso ◽

V Sciruicchio ◽

M Guido ◽

G Sasanelli ◽

F Puca

Keyword(s):

Evoked Potentials ◽

Visual Evoked Potentials ◽

Visual Stimulation ◽

Normal Subjects ◽

Tension Type Headache ◽

Brain Response ◽

Mean Values ◽

Type Headache ◽

Headache Patients ◽

Visual Evoked

We tested the hypothesis that migraine and tension-type headache are separate disorders based on visual evoked potentials. We recruited 120 migraine without aura patients (MwoA), 64 tension-type headache patients (TTH), and 51 healthy controls. We performed discriminant analysis combined with a stepwise selection of predictors. Mean values of the F1 component were significantly increased over Fp1, C3, P4, O2 and O1 electrodes in MwoA and TTH patients compared with normal subjects. Only the control subjects were correctly distinguished. The increased brain response to visual stimulation detected in both MwoA and TTH may suggest a common neuronal dysfunction in the two headache subtypes.

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The Application of Visual Evoked Potentials in Brain-Computer Interface

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.208.102 ◽

2013 ◽

Vol 208 ◽

pp. 102-108

Author(s):

Agata Nawrocka ◽

Marcin Nawrocki

Keyword(s):

Steady State ◽

Evoked Potentials ◽

Visual Evoked Potentials ◽

Brain Computer Interface ◽

Computer Interface ◽

Eeg Signal ◽

Bci System ◽

40 Hz ◽

Visual Evoked

The article presents the concept of a universal BCI system based on the detection of Steady-State Visual Evoked Potentials (SSVEP). One of the possibilities of its application involves, for example, the visual keyboard which makes it possible to enter data (alphanumeric characters) into the computer without using muscles. The first part discusses the construction and the principle of operation of BCI interfaces and next the most frequently used evoked potentials are presented. An application allowing for an analysis of the EEG signal of a person subject to effect of the photostimulator using stimuli with the frequency ranging from 1 to 40 Hz. As a result of the developed program the appropriate frequency of a stimulus in the EEG signal was detected and signalled.

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Habituation of steady-state visual evoked potentials in response to high-frequency polychromatic foveal visual stimulation

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2013.6609622 ◽

2013 ◽

Author(s):

Heng-Yuan Kuo ◽

George C. Chiu ◽

John K. Zao ◽

Kuan-Lin Lai ◽

Allen Gruber ◽

...

Keyword(s):

Steady State ◽

Evoked Potentials ◽

Visual Evoked Potentials ◽

High Frequency ◽

Visual Stimulation ◽

Visual Evoked

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Assessing the Effect of the Refresh Rate of a Device on Various Motion Stimulation Frequencies Based on Steady-State Motion Visual Evoked Potentials

Frontiers in Neuroscience ◽

10.3389/fnins.2021.757679 ◽

2022 ◽

Vol 15 ◽

Author(s):

Chengcheng Han ◽

Guanghua Xu ◽

Xiaowei Zheng ◽

Peiyuan Tian ◽

Kai Zhang ◽

...

Keyword(s):

Steady State ◽

Visual Perception ◽

Evoked Potentials ◽

Motion Perception ◽

Visual Evoked Potentials ◽

Visual Stimulation ◽

Correct Selection ◽

Refresh Rate ◽

Steady State Motion ◽

Visual Evoked

The refresh rate is one of the important parameters of visual presentation devices, and assessing the effect of the refresh rate of a device on motion perception has always been an important direction in the field of visual research. This study examined the effect of the refresh rate of a device on the motion perception response at different stimulation frequencies and provided an objective visual electrophysiological assessment method for the correct selection of display parameters in a visual perception experiment. In this study, a flicker-free steady-state motion visual stimulation with continuous scanning frequency and different forms (sinusoidal or triangular) was presented on a low-latency LCD monitor at different refresh rates. Seventeen participants were asked to observe the visual stimulation without head movement or eye movement, and the effect of the refresh rate was assessed by analyzing the changes in the intensity of their visual evoked potentials. The results demonstrated that an increased refresh rate significantly improved the intensity of motion visual evoked potentials at stimulation frequency ranges of 7–28 Hz, and there was a significant interaction between the refresh rate and motion frequency. Furthermore, the increased refresh rate also had the potential to enhance the ability to perceive similar motion. Therefore, we recommended using a refresh rate of at least 120 Hz in motion visual perception experiments to ensure a better stimulation effect. If the motion frequency or velocity is high, a refresh rate of≥240 Hz is also recommended.

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