Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network  - Gradient Penalty Model
Int J Neural Syst. 2024 Jan;34(1):2350067. doi: 10.1142/S0129065723500673.ABSTRACTPain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions of people are affected by pain disorders. There are particular challenges in the measurement and assessment of pain, and the commonly used pain measuring tools include traditional subjective scoring methods and biomarker-based measures. The main tools for biomarker-based analysis are electroencephalography (EEG), electrocardiography and functional magnetic resonance. The EEG-based quantitative pain mea...
Source: International Journal of Neural Systems - December 27, 2023 Category: Neurology Authors: Jiancai Leng Jianqun Zhu Yihao Yan Xin Yu Ming Liu Yitai Lou Yanbing Liu Licai Gao Yuan Sun Tianzheng He Qingbo Yang Chao Feng Dezheng Wang Yang Zhang Qing Xu Fangzhou Xu Source Type: research

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network  - Gradient Penalty Model
Int J Neural Syst. 2024 Jan;34(1):2350067. doi: 10.1142/S0129065723500673.ABSTRACTPain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions of people are affected by pain disorders. There are particular challenges in the measurement and assessment of pain, and the commonly used pain measuring tools include traditional subjective scoring methods and biomarker-based measures. The main tools for biomarker-based analysis are electroencephalography (EEG), electrocardiography and functional magnetic resonance. The EEG-based quantitative pain mea...
Source: International Journal of Neural Systems - December 27, 2023 Category: Neurology Authors: Jiancai Leng Jianqun Zhu Yihao Yan Xin Yu Ming Liu Yitai Lou Yanbing Liu Licai Gao Yuan Sun Tianzheng He Qingbo Yang Chao Feng Dezheng Wang Yang Zhang Qing Xu Fangzhou Xu Source Type: research

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network  - Gradient Penalty Model
Int J Neural Syst. 2024 Jan;34(1):2350067. doi: 10.1142/S0129065723500673.ABSTRACTPain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions of people are affected by pain disorders. There are particular challenges in the measurement and assessment of pain, and the commonly used pain measuring tools include traditional subjective scoring methods and biomarker-based measures. The main tools for biomarker-based analysis are electroencephalography (EEG), electrocardiography and functional magnetic resonance. The EEG-based quantitative pain mea...
Source: International Journal of Neural Systems - December 27, 2023 Category: Neurology Authors: Jiancai Leng Jianqun Zhu Yihao Yan Xin Yu Ming Liu Yitai Lou Yanbing Liu Licai Gao Yuan Sun Tianzheng He Qingbo Yang Chao Feng Dezheng Wang Yang Zhang Qing Xu Fangzhou Xu Source Type: research

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network  - Gradient Penalty Model
Int J Neural Syst. 2024 Jan;34(1):2350067. doi: 10.1142/S0129065723500673.ABSTRACTPain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions of people are affected by pain disorders. There are particular challenges in the measurement and assessment of pain, and the commonly used pain measuring tools include traditional subjective scoring methods and biomarker-based measures. The main tools for biomarker-based analysis are electroencephalography (EEG), electrocardiography and functional magnetic resonance. The EEG-based quantitative pain mea...
Source: International Journal of Neural Systems - December 27, 2023 Category: Neurology Authors: Jiancai Leng Jianqun Zhu Yihao Yan Xin Yu Ming Liu Yitai Lou Yanbing Liu Licai Gao Yuan Sun Tianzheng He Qingbo Yang Chao Feng Dezheng Wang Yang Zhang Qing Xu Fangzhou Xu Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Introduction
Int J Neural Syst. 2023 Dec 21:2402001. doi: 10.1142/S0129065724020015. Online ahead of print.NO ABSTRACTPMID:38117159 | DOI:10.1142/S0129065724020015 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - December 20, 2023 Category: Neurology Authors: Francesco Carlo Morabito Source Type: research

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Int J Neural Syst. 2023 Nov 20:2450002. doi: 10.1142/S0129065724500023. Online ahead of print.ABSTRACTFunctional MRI (fMRI) is a brain signal with high spatial resolution, and visual cognitive processes and semantic information in the brain can be represented and obtained through fMRI. In this paper, we design single-graphic and matched/unmatched double-graphic visual stimulus experiments and collect 12 subjects' fMRI data to explore the brain's visual perception processes. In the double-graphic stimulus experiment, we focus on the high-level semantic information as "matching", and remove tail-to-tail conjunction by design...
Source: International Journal of Neural Systems - December 12, 2023 Category: Neurology Authors: Yongqiang Ma Wen Zhang Ming Du Haodong Jing Nanning Zheng Source Type: research

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Int J Neural Syst. 2023 Nov 20:2450002. doi: 10.1142/S0129065724500023. Online ahead of print.ABSTRACTFunctional MRI (fMRI) is a brain signal with high spatial resolution, and visual cognitive processes and semantic information in the brain can be represented and obtained through fMRI. In this paper, we design single-graphic and matched/unmatched double-graphic visual stimulus experiments and collect 12 subjects' fMRI data to explore the brain's visual perception processes. In the double-graphic stimulus experiment, we focus on the high-level semantic information as "matching", and remove tail-to-tail conjunction by design...
Source: International Journal of Neural Systems - December 12, 2023 Category: Neurology Authors: Yongqiang Ma Wen Zhang Ming Du Haodong Jing Nanning Zheng Source Type: research

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Int J Neural Syst. 2023 Nov 20:2450002. doi: 10.1142/S0129065724500023. Online ahead of print.ABSTRACTFunctional MRI (fMRI) is a brain signal with high spatial resolution, and visual cognitive processes and semantic information in the brain can be represented and obtained through fMRI. In this paper, we design single-graphic and matched/unmatched double-graphic visual stimulus experiments and collect 12 subjects' fMRI data to explore the brain's visual perception processes. In the double-graphic stimulus experiment, we focus on the high-level semantic information as "matching", and remove tail-to-tail conjunction by design...
Source: International Journal of Neural Systems - December 12, 2023 Category: Neurology Authors: Yongqiang Ma Wen Zhang Ming Du Haodong Jing Nanning Zheng Source Type: research

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Int J Neural Syst. 2023 Nov 20:2450002. doi: 10.1142/S0129065724500023. Online ahead of print.ABSTRACTFunctional MRI (fMRI) is a brain signal with high spatial resolution, and visual cognitive processes and semantic information in the brain can be represented and obtained through fMRI. In this paper, we design single-graphic and matched/unmatched double-graphic visual stimulus experiments and collect 12 subjects' fMRI data to explore the brain's visual perception processes. In the double-graphic stimulus experiment, we focus on the high-level semantic information as "matching", and remove tail-to-tail conjunction by design...
Source: International Journal of Neural Systems - December 12, 2023 Category: Neurology Authors: Yongqiang Ma Wen Zhang Ming Du Haodong Jing Nanning Zheng Source Type: research

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex
Int J Neural Syst. 2023 Nov 20:2450002. doi: 10.1142/S0129065724500023. Online ahead of print.ABSTRACTFunctional MRI (fMRI) is a brain signal with high spatial resolution, and visual cognitive processes and semantic information in the brain can be represented and obtained through fMRI. In this paper, we design single-graphic and matched/unmatched double-graphic visual stimulus experiments and collect 12 subjects' fMRI data to explore the brain's visual perception processes. In the double-graphic stimulus experiment, we focus on the high-level semantic information as "matching", and remove tail-to-tail conjunction by design...
Source: International Journal of Neural Systems - December 12, 2023 Category: Neurology Authors: Yongqiang Ma Wen Zhang Ming Du Haodong Jing Nanning Zheng Source Type: research