Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study

H, Cho; Kang, Min-Koo; Ahn, Sangtae; Kwon, Min Seong; Yoon, Kuk-Jin; Kim, Ki Woong; Jun, Sung Chan

doi:10.1159/000442617

Cited by 4 publications

(4 citation statements)

References 37 publications

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“…To avoid the multiple comparisons problem (MCP) in EEG analysis, we performed a nonparametric cluster-based permutation test [18, 19] using the Fieldtrip toolbox [20]. Adjacent spatiotemporal (ERP analysis) or spatiospectrotemporal (TF map analysis) points can be clustered according to their significance and the p value of clusters (cluster-level statistic) can be estimated using a Monte-Carlo simulation.…”

Section: Methodsmentioning

confidence: 99%

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Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans

Kwon

Jang

et al. 2016

Computational Intelligence and Neuroscience

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We used herbal extracts in this study to investigate the effects of blue-light-induced oxidative stress on subjects' attentive performance, which is also associated with work performance. We employed an attention network test (ANT) to measure the subjects' work performance indirectly and used herbal extracts to reduce ocular oxidative stress. Thirty-two subjects participated in either an experimental group (wearing glasses containing herbal extracts) or a control group (wearing glasses without herbal extracts). During the ANT experiment, we collected electroencephalography (EEG) and electrooculography (EOG) data and measured button responses. In addition, electrocardiogram (ECG) data were collected before and after the experiments. The EOG results showed that the experimental group exhibited a reduced number of eye blinks per second during the experiment and faster button responses with a smaller variation than did the control group; this group also showed relatively more sustained tension in their ECG results. In the EEG analysis, the experimental group had significantly greater cognitive processing, with larger P300 and parietal 2–6 Hz activity, an orienting effect with neural processing of frontal area, high beta activity in the occipital area, and an alpha and beta recovery process after the button response. We concluded that reducing blue-light-induced oxidative stress with herbal extracts may be associated with reducing the number of eye blinks and enhancing attentive performance.

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Section: Methodsmentioning

confidence: 99%

“…Finally, we obtained a p value that was approximated and corrected by this nonparametric permutation test from the probability density function. Reprinted from [18]. Copyright 2016 by the Neurosignals.…”

Section: Figurementioning

confidence: 99%

Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans

Kwon

Jang

et al. 2016

Computational Intelligence and Neuroscience

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“…Los resultados obtenidos demuestran que existe correlación entre el método para medir la complejidad de imágenes que utilizan (Huo, 2015(Huo, , 2016b y el resultado del experimento con señales electroencefalográficas. En (Cho et al, 2016) también realizaron un estudio electroencefalográfico, además de uno magnetoencefalográfico (MEG) para medir la actividad cerebral de las personas cuando se les presentan imágenes 3D estereoscópicas, y de esta manera poder analizar su respuesta en imágenes con profundidad excesiva, diferentes tipos de complejidad en las texturas, objetos en movimiento, entre otras. La hipótesis de este trabajo es que la actividad cerebral puede aumentar a medida que aumenta la complejidad de forma de la imagen estereoscópica.…”

Section: Reacción Humanaunclassified

Análisis de Métodos de Medición de Complejidad de Imagen

Herrera¹,

Murguía²,

Quintana³

2018

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La complejidad de imágenes ha sido estudiada con la finalidad proponer algoritmos computacionales que puedan estimarla simulando el criterio humano, para su aplicación en diversas áreas de procesamiento de imágenes. En este artículo se presenta un estudio de los métodos para determinar la complejidad de imágenes publicados recientemente, se realiza una clasificación basada en las características utilizadas para determinar la complejidad de una imagen y se describen brevemente. En total se analizaron 28 artículos desde el año 2005 a la actualidad, donde se encontraron 34 métodos, los cuales están basados en enfoques computacionales y enfoques humanos. Las categorías en las que se clasifican son: información de bordes, información del color y/o intensidad, grado de compresión, combinado, criterio humano y reacción humana. También, se dan a conocer las bases de datos utilizadas para evaluar los métodos de medición. Por último, se realiza un análisis de la cantidad de métodos que se encuentran en cada categoría, características más utilizadas, cantidad de métodos que se publicaron por año y sus aplicaciones.

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“…According to the research of Monteiro et al [9], the methods used to extract the features in the field of assessing discomfort include power spectral density (PSD) [10][11][12], statistical analysis, entropy measures, etc. For methods to extract the time-domain EEG features, statistical analysis is generally used with eventrelated potential (ERP) signals [13,14], calculated from EEG signals. However, the strictly millisecond duration of the target stimulus in the ERP experiment may not induce visual discomfort.…”

Section: Introductionmentioning

confidence: 99%

Mixture Kernel Density Estimation and Remedied Correlation Matrix on the EEG-Based Copula Model for the Assessment of Visual Discomfort

Zhao

Yao

2020

Cogn Comput

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Since electroencephalogram (EEG) signals can directly provide information on changes in brain activity due to behaviour changes, how to assess visual discomfort through EEG signals attracts researchers’ attention. However, previous assessments based on time-domain EEG features lack sufficient consideration of the dependence among EEG signals, which may affect the discrimination to visual discomfort. Although the copula model can explore the dependence among variables, the EEG-based copula models still have the following deficiencies: (1) the methods ignoring the fine-grained information hidden in EEG signals could make the estimated marginal density function improper, and (2) the approaches neglecting the pseudo-correlation among data may inappropriately estimate the correlation matrix parameter of the copula density function. The mixture kernel density estimation (MKDE) and remedied correlation matrix (RCM) on the EEG-based copula model are proposed to mitigate the mentioned shortcomings. The simulation experiments show that MKDE can not only better estimate the marginal density function but also explore fine-grained information. The RCM can be closer to the real correlation matrix parameter. With the favourable quality of the proposed EEG-based model, it is used to extract time-domain EEG features to assess visual discomfort further. To our best knowledge, the extracted features present better discrimination to visual discomfort compared with the features extracted by the state-of-the-art method.

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Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study

Cited by 4 publications

References 37 publications

Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans

Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans

Análisis de Métodos de Medición de Complejidad de Imagen

Mixture Kernel Density Estimation and Remedied Correlation Matrix on the EEG-Based Copula Model for the Assessment of Visual Discomfort

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