生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202310002

Yao Zhang, Dongyuan Liu, Feng Gao

{"title":"[A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy].","authors":"Yao Zhang, Dongyuan Liu, Feng Gao","doi":"10.7507/1001-5515.202310002","DOIUrl":"10.7507/1001-5515.202310002","url":null,"abstract":"In the field of brain-computer interfaces (BCIs) based on functional near-infrared spectroscopy (fNIRS), traditional subject-specific decoding methods suffer from the limitations of long calibration time and low cross-subject generalizability, which restricts the promotion and application of BCI systems in daily life and clinic. To address the above dilemma, this study proposes a novel deep transfer learning approach that combines the revised inception-residual network (rIRN) model and the model-based transfer learning (TL) strategy, referred to as TL-rIRN. This study performed cross-subject recognition experiments on mental arithmetic (MA) and mental singing (MS) tasks to validate the effectiveness and superiority of the TL-rIRN approach. The results show that the TL-rIRN significantly shortens the calibration time, reduces the training time of the target model and the consumption of computational resources, and dramatically enhances the cross-subject decoding performance compared to subject-specific decoding methods and other deep transfer learning methods. To sum up, this study provides a basis for the selection of cross-subject, cross-task, and real-time decoding algorithms for fNIRS-BCI systems, which has potential applications in constructing a convenient and universal BCI system.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11366474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[A review of functional electrical stimulation based on brain-computer interface]. [基于脑机接口的功能性电刺激综述]。

生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202311036

Yao Wang, Yuhan Li, Hongyan Cui, Meng Li, Xiaogang Chen

引用次数: 0

[Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on ¹⁸F-FDG PET]. [基于 18F-FDG PET 的颞叶癫痫患者脑代谢网络构建与分析]。

生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202312025

Xuan Ji, Ruowei Qu, Zhaonan Wang, Shifeng Wang, Guizhi Xu

{"title":"[Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on 18F-FDG PET].","authors":"Xuan Ji, Ruowei Qu, Zhaonan Wang, Shifeng Wang, Guizhi Xu","doi":"10.7507/1001-5515.202312025","DOIUrl":"10.7507/1001-5515.202312025","url":null,"abstract":"The establishment of brain metabolic network is based on 18fluoro-deoxyglucose positron emission computed tomography ( 18F-FDG PET) analysis, which reflect the brain functional network connectivity in normal physiological state or disease state. It is now applied to basic and clinical brain functional network research. In this paper, we constructed a metabolic network for the cerebral cortex firstly according to 18F-FDG PET image data from patients with temporal lobe epilepsy (TLE).Then, a statistical analysis to the network properties of patients with left or right TLE and controls was performed. It is shown that the connectivity of the brain metabolic network is weakened in patients with TLE, the topology of the network is changed and the transmission efficiency of the network is reduced, which means the brain metabolic network connectivity is extensively impaired in patients with TLE. It is confirmed that the brain metabolic network analysis based on 18F-FDG PET can provide a new perspective for the diagnose and therapy of epilepsy by utilizing PET images.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11366458/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Current progress on characteristics of intracranial electrophysiology related to prolonged disorders of consciousness]. [与长时间意识障碍有关的颅内电生理学特征的最新进展]。

生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202403023

Yongzhi Huang, Jiarou Wu, Minpeng Xu, Jianghong He, Dong Ming

{"title":"[Current progress on characteristics of intracranial electrophysiology related to prolonged disorders of consciousness].","authors":"Yongzhi Huang, Jiarou Wu, Minpeng Xu, Jianghong He, Dong Ming","doi":"10.7507/1001-5515.202403023","DOIUrl":"10.7507/1001-5515.202403023","url":null,"abstract":"Prolonged disorders of consciousness (pDOC) are pathological conditions of alterations in consciousness caused by various severe brain injuries, profoundly affecting patients' life ability and leading to a huge burden for both the family and society. Exploring the mechanisms underlying pDOC and accurately assessing the level of consciousness in the patients with pDOC provide the basis of developing therapeutic strategies. Research of non-invasive functional neuroimaging technologies, such as functional magnetic resonance (fMRI) and scalp electroencephalography (EEG), have demonstrated that the generation, maintenance and disorders of consciousness involve functions of multiple cortical and subcortical brain regions, and their networks. Invasive intracranial neuroelectrophysiological technique can directly record the electrical activity of subcortical or cortical neurons with high signal-to-noise ratio and spatial resolution, which has unique advantages and important significance for further revealing the brain function and disease mechanism of pDOC. Here we reviewed the current progress of pDOC research based on two intracranial electrophysiological signals, spikes reflecting single-unit activity and field potential reflecting multi-unit activities, and then discussed the current challenges and gave an outlook on future development, hoping to promote the study of pathophysiological mechanisms related to pDOC and provide guides for the future clinical diagnosis and therapy of pDOC.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11366456/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Fatigue feature extraction and classification algorithm of forehead single-channel electroencephalography signals]. [前额单通道脑电信号的疲劳特征提取和分类算法]。

生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202312026

Huizhou Yang, Yunfei Liu, Lijuan Xia

{"title":"[Fatigue feature extraction and classification algorithm of forehead single-channel electroencephalography signals].","authors":"Huizhou Yang, Yunfei Liu, Lijuan Xia","doi":"10.7507/1001-5515.202312026","DOIUrl":"10.7507/1001-5515.202312026","url":null,"abstract":"Aiming at the problem that the feature extraction ability of forehead single-channel electroencephalography (EEG) signals is insufficient, which leads to decreased fatigue detection accuracy, a fatigue feature extraction and classification algorithm based on supervised contrastive learning is proposed. Firstly, the raw signals are filtered by empirical modal decomposition to improve the signal-to-noise ratio. Secondly, considering the limitation of the one-dimensional signal in information expression, overlapping sampling is used to transform the signal into a two-dimensional structure, and simultaneously express the short-term and long-term changes of the signal. The feature extraction network is constructed by depthwise separable convolution to accelerate model operation. Finally, the model is globally optimized by combining the supervised contrastive loss and the mean square error loss. Experiments show that the average accuracy of the algorithm for classifying three fatigue states can reach 75.80%, which is greatly improved compared with other advanced algorithms, and the accuracy and feasibility of fatigue detection by single-channel EEG signals are significantly improved. The results provide strong support for the application of single-channel EEG signals, and also provide a new idea for fatigue detection research.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11366466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Study on automatic and rapid diagnosis of distal radius fracture by X-ray]. [利用 X 射线自动快速诊断桡骨远端骨折的研究]。

生物医学工程学杂志 Pub Date : 2024-08-25 DOI: 10.7507/1001-5515.202309050

Yunpeng Liu, Kaifeng Gan, Jin Li, Dechao Sun, Hong Qiu, Dongquan Liu

引用次数: 0

[Effects of stress on the structure and function of microglia]. [压力对小胶质细胞结构和功能的影响]。

Acta physiologica Sinica Pub Date : 2024-08-25

Yu Xiao, Li-Jie Liu

引用次数: 0

[Research progress on mitochondrial copper homeostasis imbalance and fibrosis diseases]. [线粒体铜平衡失调与纤维化疾病的研究进展]。

Acta physiologica Sinica Pub Date : 2024-08-25

Sai-Ya Zhu, Jing Liu, Chen Yu

引用次数: 0

[Molecular mechanism of CDO1 regulating common metabolic diseases]. [CDO1调控常见代谢性疾病的分子机制]。

Acta physiologica Sinica Pub Date : 2024-08-25

Qi Liu, Wen-Qing Shen

引用次数: 0

[The effect of exercise on platelet-activating factor metabolism in the livers of rats fed high-fat diet]. [运动对高脂饮食大鼠肝脏中血小板活化因子代谢的影响]。

Acta physiologica Sinica Pub Date : 2024-08-25

Shang-Yan Dong, Wei Li, Li-Feng Wang, Zhen-Mao Lin, Ming-Jian Chen, Ting Li

{"title":"[The effect of exercise on platelet-activating factor metabolism in the livers of rats fed high-fat diet].","authors":"Shang-Yan Dong, Wei Li, Li-Feng Wang, Zhen-Mao Lin, Ming-Jian Chen, Ting Li","doi":"","DOIUrl":"","url":null,"abstract":"This paper aimed to investigate the effects of exercise on hepatic platelet-activating factor (PAF) metabolism in rats fed a high-fat diet. Thirty-two male Sprague-Dawley (SD) rats were divided into control group (C), high-fat diet group (H), exercise group (EC), and high-fat diet+exercise group (EH). Serum lipids, glucose, insulin and markers of hepatic injury after a 16-week dietary and/or exercise intervention (60 min/day, 6 times/week) were measured by biochemical analysis; liver lipidomic profiles were analyzed by liquid chromatograph-mass spectrometer (LC-MS). Gene and protein expression of enzymes related to PAF metabolism were determined by qPCR and Western blot respectively. The results showed that high-fat diet feeding significantly increased the levels of low-density lipoprotein-cholesterol (LDL-C) and liver injury markers including purine nucleoside phosphorylase (PNP) and malondialdehyde (MDA) in rats, which were decreased by exercise. Furthermore, high-fat diet feeding significantly increased the hepatic PAF content, which was also attenuated by exercise. In addition, although high-fat diet treatment resulted in an increase in the expression of both PAF synthetase (PAF-CPT and PLA2) and hydrolase (Lp-PLA2 and PAF-AH(II)), induction of PAF synthetase was much greater than that of PAF hydrolase. While exercise increased the expression of Lp-PLA2 and PAF-AH(II) and decreased the expression of PAF-CPT and PLA2, key PAF synthesizing enzymes. In conclusion, high-fat diet-induced increase in hepatic PAF content is mainly due to the increase of its pathological synthesis at the translational level. Exercise reduces hepatic PAF content in high-fat fed rats by increasing PAF hydrolysis and decreasing its synthesis.","PeriodicalId":7134,"journal":{"name":"Acta physiologica Sinica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142078816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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