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Authors: Chen, Jing | Wang, Xiaoxuan | Wu, Yujing

Article Type: Research Article

Abstract: The use of image fusion technology in the area of information processing is continuing to advance in depth thanks to ongoing hardware advancements and related research. An enhanced convolutional neural network approach is developed to fuse visible and infrared images, and image pre-processing is carried out utilising an image alignment method with edge detection in order to gain more accurate and trustworthy image information. The performance of the fast wavelet decomposition, convolutional neural network, and modified convolutional neural network techniques is compared and examined using four objective assessment criteria. The experimental findings demonstrated that the picture alignment was successful with …an offset error of fewer than 3 pixels in the horizontal direction and an angle error of less than 0.3∘ in both directions. The revised convolutional neural network method increased the information entropy, mean gradient, standard deviation, and edge detection information by an average of 46.13%, 39.40%, 19.91%, and 3.72%. The runtime of the modified approach was lowered by 19.42% when compared to the convolutional neural network method, which enhanced the algorithm’s performance and boosted the effectiveness of picture fusion. The image fusion accuracy reached 98.61%, indicating that the method has better fusion performance and is of practical value for improving image fusion quality. Show more

Keywords: Image fusion, convolutional neural networks, residual networks, visible and infrared images, information entropy

DOI: 10.3233/JCM-247272

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1665-1678, 2024

Authors: Wan, Xinkun | Ma, Bin | Wang, Xiaoxuan | Guo, Chenjia | Sun, Jing | Cui, Jing | Li, Liang

Article Type: Research Article

Abstract: Background: Glutathione (GSH) is an important endogenous antioxidant protecting cells from oxidative injury. Cysteine (Cys), the substrate limiting the production of GSH, is mainly generated from the trans-sulfuration pathway. S-adenosylmethionine (SAM) is a critical molecule produced in the methionine cycle and can be utilized by the trans-sulfuration pathway. Reductions in GSH and SAM as well as dysfunction in the trans-sulfuration pathway have been documented in the brains of Alzheimer’s disease (AD) patients. Our previous in vivo study revealed that SAM administration attenuated oxidative stress induced by amyloid-β (Aβ) through the enhancement of GSH. Objective: To investigate the effect of Aβ-induced …oxidative stress on the trans-sulfuration pathway in astrocytes and neurons, respectively, and the protective effect of SAM on neurons. Methods: APP/PS1 transgenic mice and the primary cultured astrocytes, neurons, and HT22 cells were used in the current study. Results: SAM could rescue the low trans-sulfuration pathway activity induced by Aβ only in astrocytes, accompanying with increasing levels of Cys and GSH. The decrease of cellular viability of neurons caused by Aβ was greatly reversed when co-cultured with astrocytes with SAM intervention. Meanwhile, SAM improved cognitive performance in APP/PS1 mice. Conclusion: In terms of astrocyte protection from oxidative stress, SAM might be a potent antioxidant in the therapy of AD patients. Show more

Keywords: Amyloid-β, astrocytes, glutathione, S-adenosylmethionine, trans-sulfuration pathway

DOI: 10.3233/JAD-200103

Citation: Journal of Alzheimer's Disease, vol. 76, no. 3, pp. 981-995, 2020

Authors: Zhang, Yanchun | Li, Chenxi | Chen, Deqiang | Tian, Rui | Yan, Xinyue | Zhou, Yingwen | Song, Yancheng | Yang, Yanlong | Wang, Xiaoxuan | Zhou, Bo | Gao, Yuhong | Jiang, Yujuan | Zhang, Xi

Article Type: Research Article

Abstract: Background: Early intervention of amnestic mild cognitive impairment (aMCI) may be the most promising way for delaying or even preventing the progression to Alzheimer’s disease. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that has been recognized as a promising approach for the treatment of aMCI. Objective: In this paper, we aimed to investigate the modulating mechanism of tDCS on the core neurocognitive networks of brain. Methods: We used repeated anodal high-definition transcranial direct current stimulation (HD-tDCS) over the left dorsolateral prefrontal cortex and assessed the effect on cognition and dynamic functional brain network in aMCI patients. …We used a novel method called temporal variability to depict the characteristics of the dynamic brain functional networks. Results: We found that true anodal stimulation significantly improved cognitive performance as measured by the Montreal Cognitive Assessment after simulation. Meanwhile, the Mini-Mental State Examination scores showed a clear upward trend. More importantly, we found significantly altered temporal variability of dynamic functional connectivity of regions belonging to the default mode network, central executive network, and the salience network after true anodal stimulation, indicating anodal HD-tDCS may enhance brain function by modulating the temporal variability of the brain regions. Conclusion: These results imply that ten days of anodal repeated HD-tDCS over the LDLPFC exerts beneficial effects on the temporal variability of the functional architecture of the brain, which may be a potential neural mechanism by which HD-tDCS enhances brain functions. Repeated HD-tDCS may have clinical uses for the intervention of brain function decline in aMCI patients. Show more

Keywords: High-definition transcranial direct current stimulation (HD-tDCS), mild cognitive disorder, temporal variability, triple network model

DOI: 10.3233/JAD-220539

Citation: Journal of Alzheimer's Disease, vol. 90, no. 2, pp. 655-666, 2022