Using Neurology Sciences to Investigate the Color Component and Its Effect on Promoting the Sense of Spirituality in the Interior Space of the Vakil Mosque of Shiraz (Using Quantitative Electroencephalography Wave Recording)

Habibabad, Ali Sadeghi; MahdiNejad, Jamal-e-Din; Azemati, Hamidreza; Matracchi, Pietro

doi:10.1007/s10943-019-00937-0

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…This paper will evaluate and analyze the color scheme, so as to judge whether the system designed in this paper is feasible. The evaluation of color scheme is mainly carried out in the form of experiments, and the seven -level Likert scale is used as the evaluation questionnaire of color scheme [13,14].…”

Section: Results Analysis 1 Example Applicationmentioning

confidence: 99%

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Indoor Color Planning Based on Color Image Coordinate System

Zhou

2024

Frontiers in Artificial Intelligence and Applications

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Because the color configuration in most indoor space design is not ideal, in order to meet people’s physiological and psychological needs, indoor color planning based on color image coordinate system is put forward. Design an indoor color configuration system based on RGB-D image. In terms of system hardware, TCS3415 color sensor is used to design color acquisition module, and Kinect equipment is used to design RGB-D image acquisition module. In system software, RGB-D image information extraction function and indoor color configuration function are designed. The experimental results show that: according tor2The distribution table shows that when the significance level is 0.05. When the degree of freedom is 2, r2The critical value of is 5.89. Conclusion: There is no obvious difference between the system in this paper and the color scheme designed by professional designers, which verifies the effectiveness of the system.

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Section: Results Analysis 1 Example Applicationmentioning

confidence: 99%

“…The application fields of color are getting wider and wider from painting to design, which is wider than before. Especially in the field of interior design, color has brought new design ideas for interior space design with its creative advantages [3]. Since 1980s, color trend report has been extended to the field of interior design.…”

Section: Literature Reviewmentioning

confidence: 99%

Indoor Color Planning Based on Color Image Coordinate System

Zhou

2024

Frontiers in Artificial Intelligence and Applications

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“…However, some studies such in [156] observed that the delta frequency is present even when there are behavioral responses, such as in propofol anesthesia, postoperative delirium, and in powerful psychedelic states. Moreover, delta band activity has also been detected in studies involving spiritual experiences [157][158][159] and meditation states [160,161].…”

Section: A Frequency Bandsmentioning

confidence: 92%

Application of machine learning and complex network measures to an EEG dataset from DMT experiments

Alves

Toutain

Porto

et al. 2022

Preprint

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There is a growing interest in the medical use of psychedelic substances as preliminary studies using them for psychiatric disorders have shown positive results. In particularly, one of these substances is N,N-dimethyltryptamine (DMT) an agonist serotonergic psychedelic that can induce profound alterations in state of consciousness. In this work, we propose a computational method based on machine learning as an exploratory tool to reveal DMT-induced changes in brain activity using EEG data and provide new insights into the mechanisms of action of this psychedelic substance. To answer these questions, we propose a two-class classification based on (A) the connectivity matrix or (B) complex network measures derived from it as input to a support vector machine We found that both approaches were able to automatically detect changes in the brain activity, with case (B) showing the highest AUC (89%), indicating that complex network measurements best capture the brain changes that occur due to DMT use. In a second step, we ranked the features that contributed most to this result. For case (A) we found that differences in the high alpha, low beta, and delta frequency band were most important to distinguish between the state before and after DMT inhalation, which is consistent with results described in the literature. Further, the connection between the temporal (TP8) and central cortex (C3) and between the precentral gyrus (FC5) and the lateral occipital cortex (T8) contributed most to the classification result. The connection between regions TP8 and C3 has been found in the literature associated with finger movements that might have occurred during DMT consumption. However, the connection between cortical regions FC5 and P8 has not been found in the literature and is presumably related to emotional, visual, sensory, perceptual, and mystical experiences of the volunteers during DMT consumption. For case (B) closeness centrality was the most important complex network measure. Moreover, we found larger communities and a longer average path length with the use of DMT and the opposite in its absence indicating that the balance between functional segregation and integration was disrupted. This findings supports the idea that cortical brain activity becomes more entropic under psychedelics. Overall, a robust computational workflow has been developed here with an interpretability of how DMT (or other psychedelics) modify brain networks and insights into their mechanism of action. Finally, the same methodology applied here may be useful in interpreting EEG time series from patients who consumed other psychedelic drugs and can help obtain a detailed understanding of functional changes in the neural network of the brain as a result of drug administration.

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“…However, some studies such in [171] observed that the delta frequency is present even when there are behavioral responses, such as in propofol anesthesia, postoperative delirium, and in powerful psychedelic states. Moreover, delta band activity has also been detected in studies involving spiritual experiences [172][173][174], and meditation states [175,176].…”

Section: Frequency Bandsmentioning

confidence: 92%

On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments

Alves,

Ciba,

de O. Toutain

et al. 2024

J. Phys. Complex.

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There is a growing interest in the medical use of psychedelic substances, as preliminary studies using them for psychiatric disorders have shown positive results. In particular, one of these substances is N, N-dimethyltryptamine (DMT), an agonist serotonergic psychedelic that can induce profound alterations in the state of consciousness. In this work, we use an exploratory tool to reveal DMT-induced changes in brain activity using EEG data and provide new insights into the mechanisms of action of this psychedelic substance. We used a two-class classification based on (A) the connectivity matrix or (B) complex network measures derived from it as input to a support vector machine.We found that both approaches could detect changes in the brain's automatic activity, with case (B) showing the highest AUC (89%), indicating that complex network measurements best capture the brain changes that occur due to DMT use. In the second step, we ranked the features that contributed the most to this result. For case (A), we found that differences in the high alpha, low beta, and delta frequency bands were most important in distinguishing between the state before and after DMT inhalation, which is consistent with the results described in the literature. Further, the connection between the temporal (TP8) and central cortex (C3) and between the precentral gyrus (FC5) and the lateral occipital cortex (P8) contributed most to the classification result. The connection between regions TP8 and C3 has been found in the literature associated with finger movements that might have occurred during DMT consumption. However, the connection between cortical areas FC5 and P8 has not been found in the literature and is presumably related to the volunteers' emotional, visual, sensory, perceptual, and mystical experiences during DMT consumption.For case (B), closeness centrality was the most crucial complex network measure. Furthermore, we discovered larger communities and longer average path lengths when DMT was used and the converse when not, showing that the balance between functional segregation and integration had been disrupted. These findings supportthe idea that cortical brain activity becomes more entropic under psychedelics.Overall, a robust computational workflow has been developed here with interpretability of how DMT (or other psychedelics) modify brain networks and insights into their mechanism of action. Finally, the same methodology applied here may help interpret EEG time series from patients who consumed other psychedelic drugs.

show abstract

Using Neurology Sciences to Investigate the Color Component and Its Effect on Promoting the Sense of Spirituality in the Interior Space of the Vakil Mosque of Shiraz (Using Quantitative Electroencephalography Wave Recording)

Cited by 13 publications

References 19 publications

Indoor Color Planning Based on Color Image Coordinate System

Indoor Color Planning Based on Color Image Coordinate System

Application of machine learning and complex network measures to an EEG dataset from DMT experiments

On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments

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