攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力...攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力风险群体的攻击性行为测量中的应用,评估了研究结果的一致性,并从P300指标的多角度分析及与其他ERP成分的结合、对犯罪群体进行进一步的类型细分、P300的应用场景拓展(如监内暴力预测、暴力行为干预效果评估和正常人攻击风险测量)等三个方面对未来的研究方向进行了展望。Aggressive behavior is gradually emerging as a prominent public health problem. Finding neural markers for aggressive behavior has become a common focus for psychologists and neuroscientists. The P300 is considered to be an independent indicator that can effectively predict aggressive behavior. This article introduces the application of P300 in the measurement of aggressive behavior in clinical, criminal and non-clinical violence risk groups, evaluates the consistency of research results, and looks forward to future research directions from three perspectives: multi-dimensional analysis of P300 predictors and combination with other ERP components, further subdivision of criminal groups, and expansion of the application scenarios of P300 (such as the prediction of violence in prison, the evaluation of the effectiveness of violence intervention and the measurement of the risk of aggression in normal people).展开更多
The cancer cell metastasis is a major death reason for patients with non-small cell lung cancer(NSCLC).Although researchers have disclosed that interleukin 17(IL-17)can increase matrix metalloproteinases(MMPs)inductio...The cancer cell metastasis is a major death reason for patients with non-small cell lung cancer(NSCLC).Although researchers have disclosed that interleukin 17(IL-17)can increase matrix metalloproteinases(MMPs)induction causing NSCLC cell metastasis,the underlying mechanism remains unclear.In the study,we found that IL-17 receptor A(IL-17RA),p300,p-STAT3,Ack-STAT3,and MMP19 were up-regulated both in NSCLC tissues and NSCLC cells stimulated with IL-17.p300,STAT3 and MMP19 overexpression or knockdown could raise or reduce IL-17-induced p-STAT3,Ack-STAT3 and MMP19 level as well as the cell migration and invasion.Mechanism investigation revealed that STAT3 and p300 bound to the same region(−544 to−389 nt)of MMP19 promoter,and p300 could acetylate STAT3-K631 elevating STAT3 transcriptional activity,p-STAT3 or MMP19 expression and the cell mobility exposed to IL-17.Meanwhile,p300-mediated STAT3-K631 acetylation and its Y705-phosphorylation could interact,synergistically facilitating MMP19 gene transcription and enhancing cell migration and invasion.Besides,the animal experiments exhibited that the nude mice inoculated with NSCLC cells by silencing p300,STAT3 or MMP19 gene plus IL-17 treatment,the nodule number,and MMP19,Ack-STAT3,or p-STAT3 production in the lung metastatic nodules were all alleviated.Collectively,these outcomes uncover that IL-17-triggered NSCLC metastasis involves up-regulating MMP19 expression via the interaction of STAT3-K631 acetylation by p300 and its Y705-phosphorylation,which provides a new mechanistic insight and potential strategy for NSCLC metastasis and therapy.展开更多
Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions withoutnecessitating extensive training.However, the complexity of operational instructions and the slow pace of...Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions withoutnecessitating extensive training.However, the complexity of operational instructions and the slow pace of characterspelling pose challenges for some patients. In this paper, an image segmentation P300 selector based on YOLOv7-mask and DeepSORT is proposed. The proposed system utilizes a camera to capture real-world objects forclassification and tracking. By applying predefined stimulation rules and object-specificmasks, the proposed systemtriggers stimuli associated with the objects displayed on the screen, inducing the generation of P300 signals in thepatient’s brain. Its video processing mechanism enables the system to identify the target the patient is focusing oneven if the object is partially obscured, overlapped, moving, or changing in number. The system alters the target’scolor display, thereby conveying the patient’s intentions to caregivers. The data analysis revealed that the selfrecognitionaccuracy of the subjects using this method was between 92% and 100%, and the cross-subject P300recognition precision was 81.9%–92.1%. This means that simple instructions such as “Do not worry, just focuson what you desire” effectively discerned the patient’s intentions using the Image Segmentation-P300 selector. Thisapproach provides cost-effective support and allows patients with communication difficulties to easily express theirneeds.展开更多
文摘攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力风险群体的攻击性行为测量中的应用,评估了研究结果的一致性,并从P300指标的多角度分析及与其他ERP成分的结合、对犯罪群体进行进一步的类型细分、P300的应用场景拓展(如监内暴力预测、暴力行为干预效果评估和正常人攻击风险测量)等三个方面对未来的研究方向进行了展望。Aggressive behavior is gradually emerging as a prominent public health problem. Finding neural markers for aggressive behavior has become a common focus for psychologists and neuroscientists. The P300 is considered to be an independent indicator that can effectively predict aggressive behavior. This article introduces the application of P300 in the measurement of aggressive behavior in clinical, criminal and non-clinical violence risk groups, evaluates the consistency of research results, and looks forward to future research directions from three perspectives: multi-dimensional analysis of P300 predictors and combination with other ERP components, further subdivision of criminal groups, and expansion of the application scenarios of P300 (such as the prediction of violence in prison, the evaluation of the effectiveness of violence intervention and the measurement of the risk of aggression in normal people).
基金National Natural Science Foundation of China(Grants Numbers 81902878 and 81971468).
文摘The cancer cell metastasis is a major death reason for patients with non-small cell lung cancer(NSCLC).Although researchers have disclosed that interleukin 17(IL-17)can increase matrix metalloproteinases(MMPs)induction causing NSCLC cell metastasis,the underlying mechanism remains unclear.In the study,we found that IL-17 receptor A(IL-17RA),p300,p-STAT3,Ack-STAT3,and MMP19 were up-regulated both in NSCLC tissues and NSCLC cells stimulated with IL-17.p300,STAT3 and MMP19 overexpression or knockdown could raise or reduce IL-17-induced p-STAT3,Ack-STAT3 and MMP19 level as well as the cell migration and invasion.Mechanism investigation revealed that STAT3 and p300 bound to the same region(−544 to−389 nt)of MMP19 promoter,and p300 could acetylate STAT3-K631 elevating STAT3 transcriptional activity,p-STAT3 or MMP19 expression and the cell mobility exposed to IL-17.Meanwhile,p300-mediated STAT3-K631 acetylation and its Y705-phosphorylation could interact,synergistically facilitating MMP19 gene transcription and enhancing cell migration and invasion.Besides,the animal experiments exhibited that the nude mice inoculated with NSCLC cells by silencing p300,STAT3 or MMP19 gene plus IL-17 treatment,the nodule number,and MMP19,Ack-STAT3,or p-STAT3 production in the lung metastatic nodules were all alleviated.Collectively,these outcomes uncover that IL-17-triggered NSCLC metastasis involves up-regulating MMP19 expression via the interaction of STAT3-K631 acetylation by p300 and its Y705-phosphorylation,which provides a new mechanistic insight and potential strategy for NSCLC metastasis and therapy.
文摘Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions withoutnecessitating extensive training.However, the complexity of operational instructions and the slow pace of characterspelling pose challenges for some patients. In this paper, an image segmentation P300 selector based on YOLOv7-mask and DeepSORT is proposed. The proposed system utilizes a camera to capture real-world objects forclassification and tracking. By applying predefined stimulation rules and object-specificmasks, the proposed systemtriggers stimuli associated with the objects displayed on the screen, inducing the generation of P300 signals in thepatient’s brain. Its video processing mechanism enables the system to identify the target the patient is focusing oneven if the object is partially obscured, overlapped, moving, or changing in number. The system alters the target’scolor display, thereby conveying the patient’s intentions to caregivers. The data analysis revealed that the selfrecognitionaccuracy of the subjects using this method was between 92% and 100%, and the cross-subject P300recognition precision was 81.9%–92.1%. This means that simple instructions such as “Do not worry, just focuson what you desire” effectively discerned the patient’s intentions using the Image Segmentation-P300 selector. Thisapproach provides cost-effective support and allows patients with communication difficulties to easily express theirneeds.
